Aws Eks Architecture Diagram

  aws eks architecture diagram: AWS for Solutions Architects Saurabh Shrivastava, Neelanjali Srivastav, Alberto Artasanchez, Imtiaz Sayed, Dr. Siddhartha Choubey Ph.D, 2023-04-28 Become a master Solutions Architect with this comprehensive guide, featuring cloud design patterns and real-world solutions for building scalable, secure, and highly available systems Purchase of the print or Kindle book includes a free eBook in PDF format. Key Features Gain expertise in automating, networking, migrating, and adopting cloud technologies using AWS Use streaming analytics, big data, AI/ML, IoT, quantum computing, and blockchain to transform your business Upskill yourself as an AWS solutions architect and explore details of the new AWS certification Book Description Are you excited to harness the power of AWS and unlock endless possibilities for your business? Look no further than the second edition of AWS for Solutions Architects! Packed with all-new content, this book is a must-have guide for anyone looking to build scalable cloud solutions and drive digital transformation using AWS. This updated edition offers in-depth guidance for building cloud solutions using AWS. It provides detailed information on AWS well-architected design pillars and cloud-native design patterns. You'll learn about networking in AWS, big data and streaming data processing, CloudOps, and emerging technologies such as machine learning, IoT, and blockchain. Additionally, the book includes new sections on storage in AWS, containers with ECS and EKS, and data lake patterns, providing you with valuable insights into designing industry-standard AWS architectures that meet your organization's technological and business requirements. Whether you're an experienced solutions architect or just getting started with AWS, this book has everything you need to confidently build cloud-native workloads and enterprise solutions. What you will learn Optimize your Cloud Workload using the AWS Well-Architected Framework Learn methods to migrate your workload using the AWS Cloud Adoption Framework Apply cloud automation at various layers of application workload to increase efficiency Build a landing zone in AWS and hybrid cloud setups with deep networking techniques Select reference architectures for business scenarios, like data lakes, containers, and serverless apps Apply emerging technologies in your architecture, including AI/ML, IoT and blockchain Who this book is for This book is for application and enterprise architects, developers, and operations engineers who want to become well versed with AWS architectural patterns, best practices, and advanced techniques to build scalable, secure, highly available, highly tolerant, and cost-effective solutions in the cloud. Existing AWS users are bound to learn the most, but it will also help those curious about how leveraging AWS can benefit their organization. Prior knowledge of any computing language is not needed, and there's little to no code. Prior experience in software architecture design will prove helpful.
  aws eks architecture diagram: Mastering Elastic Kubernetes Service on AWS Malcolm Orr, Yang-Xin Cao (Eason), 2023-07-21 Leverage AWS EKS to optimally manage Kubernetes deployment, scaling, and monitoring for your containerized applications Purchase of the print or Kindle book includes a free eBook in the PDF format. Key Features Seamlessly deploy and run Kubernetes applications on AWS Overcome security and networking issues in Kubernetes to improve the performance of your apps Scale and provision resources to meet the dynamic needs of the cluster using AWS EKS Book Description Kubernetes has emerged as the de facto standard for container orchestration, with recent developments making it easy to deploy and handle a Kubernetes cluster. However, a few challenges such as networking, load balancing, monitoring, and security remain. To address these issues, Amazon EKS offers a managed Kubernetes service to improve the performance, scalability, reliability, and availability of AWS infrastructure and integrate with AWS networking and security services with ease. You'll begin by exploring the fundamentals of Docker, Kubernetes, Amazon EKS, and its architecture along with different ways to set up EKS. Next, you'll find out how to manage Amazon EKS, encompassing security, cluster authentication, networking, and cluster version upgrades. As you advance, you'll discover best practices and learn to deploy applications on Amazon EKS through different use cases, including pushing images to ECR and setting up storage and load balancing. With the help of several actionable practices and scenarios, you'll gain the know-how to resolve scaling and monitoring issues. Finally, you will overcome the challenges in EKS by developing the right skill set to troubleshoot common issues with the right logic. By the end of this Kubernetes book, you'll be able to effectively manage your own Kubernetes clusters and other components on AWS. What you will learn Understand Amazon EKS architecture and how every component works Effectively manage Kubernetes cluster on AWS with Amazon EKS Build a Docker image and push it to AWS ECR Efficiently scale and provision resources leveraging Amazon EKS Dive deep into security and networking with Amazon EKS Understand Fargate serverless and apply it to the workload Who this book is for This book is for cloud architects and cloud engineers who want to efficiently manage Kubernetes with Amazon EKS. Basic knowledge of containerization, Kubernetes, Docker, and AWS services is needed to grasp the content present in this book.
  aws eks architecture diagram: AWS Cloud Automation Oluyemi James Odeyinka, 2024-01-20 How to automate AWS Cloud using Terraform IaC best practices KEY FEATURES ● Learn how to create and deploy AWS Cloud Resources using Terraform IaC. ● Manage large and complex AWS infrastructures. ● Manage diverse storage options like S3 and EBS for optimal performance and cost-efficiency. DESCRIPTION AWS Cloud Automation allows organizations to effortlessly organize and handle their cloud resources. Terraform, an open-source provisioning tool, transforms the old manual way of doing things by allowing users to define, deploy, and maintain infrastructure as code, ensuring consistency, scalability, and efficiency. This book explains AWS Cloud Automation using Terraform, which is a simple and clear syntax that lets users define the infrastructure needs. Terraform simplifies setting up and managing infrastructure, reducing errors and fostering team collaboration. It enables version control, letting you monitor changes and implement CI/CD pipelines, effortlessly. The book guides you in creating and managing AWS resources through a simple configuration file, allowing you to define virtual machines, networks, databases, and more. Discover how Terraform makes organizing infrastructure code easy, promoting reusability and simple maintenance with consistent patterns across projects and teams. This book will empower readers of AWS Cloud Automation to embrace a modern, scalable, and efficient approach to managing cloud infrastructure. By combining the power of Terraform with the flexibility of AWS. WHAT YOU WILL LEARN ● Implement automated workflows with Terraform in CI/CD pipelines, for consistent and reliable deployments. ● Secure your cloud environment with robust Identity and Access Management (IAM) policies. ● Build and deploy highly available and scalable applications using EC2, VPC, and ELB. ● Automate database deployments and backups with RDS and DynamoDB for worry-free data management. ● Implement serverless architectures with EKS and Fargate for agile and cost-effective development. WHO THIS BOOK IS FOR This book is crafted for both aspiring and seasoned infrastructure enthusiasts, cloud architects, solution architects , SysOps Administrators, and DevOps professionals ready to apply the power of Terraform as their AWS go-to Infrastructure as Code (IaC) tool. TABLE OF CONTENTS 1. AWS DevOps and Automation Tools Set 2. AWS Terraform Setup 3. IAM, Governance and Policies Administration 4. Automating AWS Storage Deployment and Configuration 5. VPC and Network Security Tools Automation 6. Automating EC2 Deployment of various Workloads 7. Automating ELB Deployment and Configurations 8. AWS Route53 Policy and Routing Automation 9. AWS EKS and Fargate Deployments 10. Databases and Backup Services Automation 11. Automating and Bootstrapping Monitoring Service
  aws eks architecture diagram: Solutions Architect's Handbook Saurabh Shrivastava, Neelanjali Srivastav, 2022-01-17 Third edition out now with coverage on Generative AI, clean architecture, edge computing, and more Key Features Turn business needs into end-to-end technical architectures with this practical guide Assess and overcome various challenges while updating or modernizing legacy applications Future-proof your architecture with IoT, machine learning, and quantum computing Book DescriptionBecoming a solutions architect requires a hands-on approach, and this edition of the Solutions Architect's Handbook brings exactly that. This handbook will teach you how to create robust, scalable, and fault-tolerant solutions and next-generation architecture designs in a cloud environment. It will also help you build effective product strategies for your business and implement them from start to finish. This new edition features additional chapters on disruptive technologies, such as Internet of Things (IoT), quantum computing, data engineering, and machine learning. It also includes updated discussions on cloud-native architecture, blockchain data storage, and mainframe modernization with public cloud. The Solutions Architect's Handbook provides an understanding of solution architecture and how it fits into an agile enterprise environment. It will take you through the journey of solution architecture design by providing detailed knowledge of design pillars, advanced design patterns, anti-patterns, and the cloud-native aspects of modern software design. By the end of this handbook, you'll have learned the techniques needed to create efficient architecture designs that meet your business requirements.What you will learn Explore the various roles of a solutions architect in the enterprise landscape Implement key design principles and patterns to build high-performance cost-effective solutions Choose the best strategies to secure your architectures and increase their availability Modernize legacy applications with the help of cloud integration Understand how big data processing, machine learning, and IoT fit into modern architecture Integrate a DevOps mindset to promote collaboration, increase operational efficiency, and streamline production Who this book is for This book is for software developers, system engineers, DevOps engineers, architects, and team leaders who already work in the IT industry and aspire to become solutions architect professionals. Existing solutions architects who want to expand their skillset or get a better understanding of new technologies will also learn valuable new skills. To get started, you'll need a good understanding of the real-world software development process and general programming experience in any language.
  aws eks architecture diagram: Argo CD in Practice Liviu Costea, Spiros Economakis, Alexander Matyushentsev, 2022-11-18 Build CD pipelines following GitOps principles like declarative and immutable changes stored in version control, all continuously reconciled by Argo CD, and minimize the failure of deployments. Purchase of the print or Kindle book includes a free eBook in the PDF format. Key FeaturesDiscover how to apply GitOps principles to build real-world CD pipelinesUnderstand Argo CD components and how they work together to reconcile cloud native applicationsLearn to run Argo CD in production with declarative config changes, security, observability, disaster recovery, and moreBook Description GitOps follows the practices of infrastructure as code (IaC), allowing developers to use their day-to-day tools and practices such as source control and pull requests to manage apps. With this book, you'll understand how to apply GitOps bootstrap clusters in a repeatable manner, build CD pipelines for cloud-native apps running on Kubernetes, and minimize the failure of deployments. You'll start by installing Argo CD in a cluster, setting up user access using single sign-on, performing declarative configuration changes, and enabling observability and disaster recovery. Once you have a production-ready setup of Argo CD, you'll explore how CD pipelines can be built using the pull method, how that increases security, and how the reconciliation process occurs when multi-cluster scenarios are involved. Next, you'll go through the common troubleshooting scenarios, from installation to day-to-day operations, and learn how performance can be improved. Later, you'll explore the tools that can be used to parse the YAML you write for deploying apps. You can then check if it is valid for new versions of Kubernetes, verify if it has any security or compliance misconfigurations, and that it follows the best practices for cloud-native apps running on Kubernetes. By the end of this book, you'll be able to build a real-world CD pipeline using Argo CD. What you will learnUnderstand GitOps principles and how they relate to IaCDiscover how Argo CD lays the foundation for reconciling Git state with the cluster stateRun Argo CD in production with an emphasis on reliability and troubleshootingBootstrap Kubernetes clusters with essential utilities following the GitOps approachSet up a CD pipeline and minimize the failure of deploymentsExplore ways to verify and validate the YAML you put together when working with KubernetesUnderstand the democratization of GitOps and how the GitOps engine will enable its further adoptionWho this book is for If you're a software developer, DevOps engineer, or SRE who is responsible for building CD pipelines for projects running on Kubernetes and wants to advance in your career, this book is for you. Basic knowledge of Kubernetes, Helm, or Kustomize and CD pipelines will help you to get the most out of this book.
  aws eks architecture diagram: AWS DevOps Engineer Professional Certification Guide Sumit Kapoor, 2024-04-21 Crack the exam and become an expert in provisioning, operating, and managing distributed application systems on the AWS platform KEY FEATURES ● This book offers real-world and hands-on examples that will prepare you to take the exam with confidence. ● Enhance your abilities for efficient interdepartmental communication, fostering cost-effective business solutions. ● Includes mock exams with explanations for self-assessment and boosting confidence. DESCRIPTION The AWS DevOps Engineer Professional Certification Guide is highly challenging and can significantly boost one's career. It features scenario-based questions with lengthy descriptions, making comprehension tough. This book focuses extensively on AWS Developer Tools, CloudFormation, Elastic Beanstalk, OpsWorks, and other crucial topics, representing the exam's domain. The readers can easily prepare for the AWS Certified DevOps Engineer - Professional exam with this guide drafted with a focus on managing infrastructure and applications on AWS. It covers secure version control with CodeCommit, automated code building with CodeBuild, and streamlined updates with CodeDeploy and CodePipeline. You will learn to create secure CI/CD pipelines and define AWS infrastructure and applications with CloudFormation. The readers will explore the management of multiple AWS accounts, security tools, and automation with OpsWorks and Elastic Beanstalk. You will also discover strategies for scalability, disaster recovery, monitoring with CloudWatch, and performance analysis with Kinesis Data Streams. Finally, you will learn to implement automated responses and security best practices with AWS Config and Inspector. Successfully passing this exam will help you gain advanced technical skills needed to become a DevOps subject matter expert and earn a good remuneration in the IT industry. WHAT YOU WILL LEARN ● Set up automated code building, testing, and deployment. ● Automate the configuration and deployment in AWS for efficiency. ● Design infrastructure and applications on AWS that handle high traffic and unexpected situations. ● Gain insights into infrastructure and application performance on AWS with advanced monitoring tools. ● Learn about best practices for securing infrastructure and applications on AWS, like access control, encryption, vulnerability scanning, and incident response procedures. WHO THIS BOOK IS FOR This book is ideal for IT professionals, like cloud engineers, DevOps engineers, and system administrators, who want to build and manage secure, scalable websites on AWS. It equips them with the knowledge to become a certified AWS DevOps Engineer - Professional. TABLE OF CONTENTS 1. Continuous Integration with CodeCommit and CodeBuild 2. Continuous Delivery with CodeDeploy and CodePipeline 3. Cross-Account CI/CD Pipelines and Testing 4. Infrastructure as Code Using CloudFormation 5. Automated Account Management and Security in AWS 6. Automation Using OpsWorks and Elastic Beanstalk 7. Implement High Availability, Scalability, and Fault Tolerance 8. Design and Automate Disaster Recovery Strategies 9. Automate Monitoring and Event Management 10. Auditing, Logging and Monitoring Containers and Applications 11. Troubleshooting and Restoring Operations 12. Setup Event-Driven Automated Actions 13. Implement Governance Strategies and Cost Optimization 14. Advanced Security, Access Control, and Identity Management 15. Mock Exam: 1 16. Mock Exam: 2
  aws eks architecture diagram: Building and Delivering Microservices on AWS Amar Deep Singh, 2023-05-30 Quickly deliver microservices with CodeCommit, CodeBuild, CodeDeploy, and CodePipeline using software architecture patterns, microservices, and release pipelines Purchase of the print or Kindle book includes a free PDF eBook Key Features Learn software architecture and microservices design patterns from an AWS certified professional architect Develop microservices using Spring Boot and automate the release using CodePipeline Deploy microservices using CodeDeploy to EC2 instances, containers, and on premises Book DescriptionReliable automation is crucial for any code change going into production. A release pipeline enables you to deliver features for your users efficiently and promptly. AWS CodePipeline, with its powerful integration and automation capabilities of building, testing, and deployment, offers a unique solution to common software delivery issues such as outages during deployment, a lack of standard delivery mechanisms, and challenges faced in creating sustainable pipelines. You’ll begin by developing a Java microservice and using AWS services such as CodeCommit, CodeArtifact, and CodeGuru to manage and review the source code. You’ll then learn to use the AWS CodeBuild service to build code and deploy it to AWS infrastructure and container services using the CodeDeploy service. As you advance, you’ll find out how to provision cloud infrastructure using CloudFormation templates and Terraform. The concluding chapters will show you how to combine all these AWS services to create a reliable and automated CodePipeline for delivering microservices from source code check-in to deployment without any downtime. Finally, you’ll discover how to integrate AWS CodePipeline with third-party services such as Bitbucket, Blazemeter, Snyk, and Jenkins. By the end of this microservices book, you’ll have gained the hands-on skills to build release pipelines for your applications.What you will learn Understand the basics of architecture patterns and microservice development Get to grips with the continuous integration and continuous delivery of microservices Delve into automated infrastructure provisioning with CloudFormation and Terraform Explore CodeCommit, CodeBuild, CodeDeploy, and CodePipeline services Get familiarized with automated code reviews and profiling using CodeGuru Grasp AWS Lambda function basics and automated deployment using CodePipeline Understand Docker basics and automated deployment to ECS and EKS Explore the CodePipeline integration with Jenkins Pipeline and on premises deployment Who this book is for This book is for software architects, DevOps engineers, SREs, and cloud engineers who want to learn more about automating their release pipelines for modifying features and releasing updates. Prior knowledge of AWS Cloud, Java, Maven, and Git will help you to get the most out of this book.
  aws eks architecture diagram: Mastering AWS for Cloud Professionals Manjit Chakraborty, Neeraj Roy, 2024-11-08 DESCRIPTION Unlock the power of AWS and elevate your cloud expertise with Mastering AWS for Cloud Professionals. This comprehensive guide illuminates the path to cloud mastery, offering a blend of theoretical knowledge and practical expertise. Dive deep into Amazon Web Services (AWS), exploring its vast potential to revolutionize business operations and IT infrastructure. This book offers a visually enriched approach to learning AWS, using diagrams and illustrations to simplify complex concepts. Drawing from real-world experiences, it provides practical insights into implementing AWS in enterprise environments. Learn containerization through practical case studies and industry-proven methodologies, and master AWS monitoring tools for optimizing cloud-based applications and infrastructure. This comprehensive guide ensures a deep understanding of AWS solutions for practical use. With real-life scenarios and practical examples woven throughout, you will not only understand AWS solutions but will also be able to apply them effectively. You will be well-versed in leveraging AWS services to design, deploy, and manage secure, scalable, and cost-effective cloud solutions. You will understand how to optimize your cloud environment for performance and efficiency, ensuring your applications are always available and reliable. KEY FEATURES ● Comprehensive exploration of cloud computing principles and AWS-specific methodologies. ● Simplify complex AWS concepts with clear, visual diagrams and illustrations. ● Bridge the gap between theory and practice with industry-relevant architectures. WHAT YOU WILL LEARN ● Master AWS architectural fundamentals and build flexible, scalable cloud solutions. ● Design and deploy high-performance, globally distributed applications. ● Harness the power of containerization and serverless computing paradigms. ● Architect microservices and apply AWS Well-Architected Framework best practices. ● Leverage data analytics and machine learning capabilities in cloud environments. ● Secure, monitor, analyze, and optimize AWS deployments using native observability tools. WHO THIS BOOK IS FOR This book is tailored for a diverse audience of technology professionals, including cloud architects, system engineers, software developers, and IT operations specialists. This comprehensive guide serves as an excellent resource for those preparing for the AWS Solution Architect certification exam. TABLE OF CONTENTS 1. AWS Architectural Fundamentals 2. AWS Networking: Basic Constructs 3. AWS Networking: Advanced Constructs 4. AWS Compute 5. AWS Storage 6. AWS Database 7. Data Analytics 8. Containers in AWS ECS 9. Containers in AWS EKS 10. Microservices 11. ML and GenAI 12. Security in AWS 13. Observability in AWS
  aws eks architecture diagram: Security Architecture for Hybrid Cloud Mark Buckwell, Stefaan Van daele, Carsten Horst, 2024-07-25 As the transformation to hybrid multicloud accelerates, businesses require a structured approach to securing their workloads. Adopting zero trust principles demands a systematic set of practices to deliver secure solutions. Regulated businesses, in particular, demand rigor in the architectural process to ensure the effectiveness of security controls and continued protection. This book provides the first comprehensive method for hybrid multicloud security, integrating proven architectural techniques to deliver a comprehensive end-to-end security method with compliance, threat modeling, and zero trust practices. This method ensures repeatability and consistency in the development of secure solution architectures. Architects will learn how to effectively identify threats and implement countermeasures through a combination of techniques, work products, and a demonstrative case study to reinforce learning. You'll examine: The importance of developing a solution architecture that integrates security for clear communication Roles that security architects perform and how the techniques relate to nonsecurity subject matter experts How security solution architecture is related to design thinking, enterprise security architecture, and engineering How architects can integrate security into a solution architecture for applications and infrastructure using a consistent end-to-end set of practices How to apply architectural thinking to the development of new security solutions About the authors Mark Buckwell is a cloud security architect at IBM with 30 years of information security experience. Carsten Horst with more than 20 years of experience in Cybersecurity is a certified security architect and Associate Partner at IBM. Stefaan Van daele has 25 years experience in Cybersecurity and is a Level 3 certified security architect at IBM.
  aws eks architecture diagram: Accelerating DevSecOps on AWS Nikit Swaraj, 2022-04-28 Build high-performance CI/CD pipelines that are powered by AWS and the most cutting-edge tools and techniques Key FeaturesMaster the full AWS developer toolchain for building high-performance, resilient, and powerful CI/CD pipelinesGet to grips with Chaos engineering, DevSecOps, and AIOps as applied to CI/CDEmploy the latest tools and techniques to build a CI/CD pipeline for application and infrastructureBook Description Continuous integration and continuous delivery (CI/CD) has never been simple, but these days the landscape is more bewildering than ever; its terrain riddled with blind alleys and pitfalls that seem almost designed to trap the less-experienced developer. If you're determined enough to keep your balance on the cutting edge, this book will help you navigate the landscape with ease. This book will guide you through the most modern ways of building CI/CD pipelines with AWS, taking you step-by-step from the basics right through to the most advanced topics in this domain. The book starts by covering the basics of CI/CD with AWS. Once you're well-versed with tools such as AWS Codestar, Proton, CodeGuru, App Mesh, SecurityHub, and CloudFormation, you'll focus on chaos engineering, the latest trend in testing the fault tolerance of your system. Next, you'll explore the advanced concepts of AIOps and DevSecOps, two highly sought-after skill sets for securing and optimizing your CI/CD systems. All along, you'll cover the full range of AWS CI/CD features, gaining real-world expertise. By the end of this AWS book, you'll have the confidence you need to create resilient, secure, and performant CI/CD pipelines using the best techniques and technologies that AWS has to offer. What you will learnUse AWS Codestar to design and implement a full branching strategyEnforce Policy as Code using CloudFormation Guard and HashiCorp SentinelMaster app and infrastructure deployment at scale using AWS Proton and review app code using CodeGuruDeploy and manage production-grade clusters using AWS EKS, App Mesh, and X-RayHarness AWS Fault Injection Simulator to test the resiliency of your appWield the full arsenal of AWS Security Hub and Systems Manager for infrastructure security automationEnhance CI/CD pipelines with the AI-powered DevOps Guru serviceWho this book is for This book is for DevOps engineers, engineering managers, cloud developers, and cloud architects. Basic experience with the software development life cycle, DevOps, and AWS is all you need to get started.
  aws eks architecture diagram: Mastering Cloud Security Posture Management (CSPM) Qamar Nomani, 2024-01-31 Strengthen your security posture in all aspects of CSPM technology, from security infrastructure design to implementation strategies, automation, and remedial actions using operational best practices across your cloud environment Key Features Choose the right CSPM tool to rectify cloud security misconfigurations based on organizational requirements Optimize your security posture with expert techniques for in-depth cloud security insights Improve your security compliance score by adopting a secure-by-design approach and implementing security automation Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionThis book will help you secure your cloud infrastructure confidently with cloud security posture management (CSPM) through expert guidance that’ll enable you to implement CSPM effectively, ensuring an optimal security posture across multi-cloud infrastructures. The book begins by unraveling the fundamentals of cloud security, debunking myths about the shared responsibility model, and introducing key concepts such as defense-in-depth, the Zero Trust model, and compliance. Next, you’ll explore CSPM's core components, tools, selection criteria, deployment strategies, and environment settings, which will be followed by chapters on onboarding cloud accounts, dashboard customization, cloud assets inventory, configuration risks, and cyber threat hunting. As you progress, you’ll get to grips with operational practices, vulnerability and patch management, compliance benchmarks, and security alerts. You’ll also gain insights into cloud workload protection platforms (CWPPs). The concluding chapters focus on Infrastructure as Code (IaC) scanning, DevSecOps, and workflow automation, providing a thorough understanding of securing multi-cloud environments. By the end of this book, you’ll have honed the skills to make informed decisions and contribute effectively at every level, from strategic planning to day-to-day operations.What you will learn Find out how to deploy and onboard cloud accounts using CSPM tools Understand security posture aspects such as the dashboard, asset inventory, and risks Explore the Kusto Query Language (KQL) and write threat hunting queries Explore security recommendations and operational best practices Get to grips with vulnerability, patch, and compliance management, and governance Familiarize yourself with security alerts, monitoring, and workload protection best practices Manage IaC scan policies and learn how to handle exceptions Who this book is for If you’re a cloud security administrator, security engineer, or DevSecOps engineer, you’ll find this book useful every step of the way—from proof of concept to the secured, automated implementation of CSPM with proper auto-remediation configuration. This book will also help cybersecurity managers, security leads, and cloud security architects looking to explore the decision matrix and key requirements for choosing the right product. Cloud security enthusiasts who want to enhance their knowledge to bolster the security posture of multi-cloud infrastructure will also benefit from this book.
  aws eks architecture diagram: Simplifying Hybrid Cloud Adoption with AWS Frankie Costa Negro, 2022-11-28 Become an expert in AWS Outposts and Hybrid architectures with in-depth explanations of the product and order processes while exploring the capabilities for creating next-generation edge solutions Key FeaturesLearn AWS Outposts from the ground up guided by an AWS hybrid edge solutions architectMaster hybrid edge concepts, use cases, and architectures and discover how AWS Outposts fits into this spaceBecome the go-to professional for designing, deploying, operating, and maintaining AWS OutpostsBook Description The hybrid edge specialty is often misunderstood because it began with an on-premises-focused view encompassing everything not running inside the traditional data center. If you too have workloads that need to live on premises and need a solution to bridge the gap between both worlds, this book will show you how AWS Outposts allows workloads to leverage the benefits of the cloud running on top of AWS technology. In this book, you'll learn what the Edge space is, the capabilities to look for when selecting a solution to operate in this realm, and how AWS Outposts delivers. The use cases for Outposts are thoroughly explained and the physical characteristics are detailed alongside the service logical constructs and facility requirements. You'll gain a comprehensive understanding of the sales process—from order placement to rack delivery to your location. As you advance, you'll explore how AWS Outposts works in real life with step-by-step examples using AWS CLI and AWS Console before concluding your journey with an extensive overview of security and business continuity for maximizing the value delivered by the product. By the end of this book, you'll be able to create compelling hybrid architectures, solve complex use cases for hybrid scenarios, and get ready for your way forward with the help of expert guidance. What you will learnDiscover the role of AWS Outposts in the hybrid edge spaceUnderstand rack components with typical use cases for AWS OutpostsExplore AWS services running on Outposts and its capabilitiesSelect, order, and successfully deploy your OutpostsWork with Outposts resources for hands-on operationsAssess logical and physical security aspects and considerationsMonitor and log configuration and usage to improve your architectureMaintain and troubleshoot hardware and software that run AWS servicesWho this book is for If you are a seasoned data center professional, this book will empower you to support businesses to build hybrid edge solutions with AWS technology. It will also help AWS Cloud professionals to master a unique offering in the AWS portfolio that takes Amazon web services beyond the regions. Familiarity with AWS services and traditional data center concepts is assumed.
  aws eks architecture diagram: High Performance Computing Amanda Bienz, Michèle Weiland, Marc Baboulin, Carola Kruse, 2023-09-25 This volume constitutes the papers of several workshops which were held in conjunction with the 38th International Conference on High Performance Computing, ISC High Performance 2023, held in Hamburg, Germany, during May 21–25, 2023. The 49 revised full papers presented in this book were carefully reviewed and selected from 70 submissions. ISC High Performance 2023 presents the following workshops: ​2nd International Workshop on Malleability Techniques Applications in High-Performance Computing (HPCMALL) 18th Workshop on Virtualization in High-Performance Cloud Computing (VHPC 23) HPC I/O in the Data Center (HPC IODC) Workshop on Converged Computing of Cloud, HPC, and Edge (WOCC’23) 7th International Workshop on In Situ Visualization (WOIV’23) Workshop on Monitoring and Operational Data Analytics (MODA23) 2nd Workshop on Communication, I/O, and Storage at Scale on Next-Generation Platforms: Scalable Infrastructures First International Workshop on RISC-V for HPC Second Combined Workshop on Interactive and Urgent Supercomputing (CWIUS) HPC on Heterogeneous Hardware (H3)
  aws eks architecture diagram: Running Windows Containers on AWS Marcio Morales, 2023-04-21 Scale up your Windows containers seamlessly on AWS powered by field-proven expertise and best practices on Amazon ECS, EKS, and Fargate Purchase of the print or Kindle book includes a free PDF eBook Key Features Leverage the most recent best practices to run and manage Windows containers on AWS Learn about AWS tools to containerize and run Windows containers on AWS Deeper understanding on how Amazon ECS, EKS, and Fargate supports Windows containers Book Description Windows applications are everywhere, from basic intranet applications to high-traffic public APIs. Their prevalence underscores the importance of combining the same tools and experience for managing a modern containerized application with existing critical Windows applications to reduce costs, achieve outstanding operational excellence, and modernize quickly. This comprehensive guide to running and managing Windows containers on AWS looks at the best practices from years of customer interactions to help you stay ahead of the curve. Starting with Windows containers basics, you'll learn about the architecture design that powers Amazon ECS, EKS, and AWS Fargate for Windows containers. With the help of examples and best practices, you'll explore in depth how to successfully run and manage Amazon ECS, EKS, and AWS Fargate clusters with Windows containers support. Next, the book covers day 2 operations in detail, from logging and monitoring to using ancillary AWS tools that fully containerize existing legacy .NET Framework applications into containers without any code changes. The book also covers the most common Windows container operations, such as image lifecycle and working with ephemeral hosts. By the end of this book, you'll have mastered how to run Windows containers on AWS and be ready to start your modernization journey confidently. What you will learn Get acquainted with Windows container basics Run and manage Windows containers on Amazon ECS, EKS, and AWS Fargate Effectively monitor and centralize logs from Windows containers Properly maintain Windows hosts and keep container images up to date Manage ephemeral Windows hosts to reduce operational overhead Work with the container image cache to speed up the container's boot time Who this book is for This book is targeted towards DevOps engineer, SREs, solution architects, or a Windows sysadmin who wants to learn more about running Windows containers on AWS. In order to learn from this book, you should have a basic understanding of containers, Docker, and Kubernetes. The book is also beneficial for Windows application developers who want to explore how to achieve better application scalability using containers as a compute layer.
  aws eks architecture diagram: The Machine Learning Solutions Architect Handbook David Ping, 2024-04-15 Design, build, and secure scalable machine learning (ML) systems to solve real-world business problems with Python and AWS Purchase of the print or Kindle book includes a free PDF eBook Key Features Go in-depth into the ML lifecycle, from ideation and data management to deployment and scaling Apply risk management techniques in the ML lifecycle and design architectural patterns for various ML platforms and solutions Understand the generative AI lifecycle, its core technologies, and implementation risks Book DescriptionDavid Ping, Head of GenAI and ML Solution Architecture for global industries at AWS, provides expert insights and practical examples to help you become a proficient ML solutions architect, linking technical architecture to business-related skills. You'll learn about ML algorithms, cloud infrastructure, system design, MLOps , and how to apply ML to solve real-world business problems. David explains the generative AI project lifecycle and examines Retrieval Augmented Generation (RAG), an effective architecture pattern for generative AI applications. You’ll also learn about open-source technologies, such as Kubernetes/Kubeflow, for building a data science environment and ML pipelines before building an enterprise ML architecture using AWS. As well as ML risk management and the different stages of AI/ML adoption, the biggest new addition to the handbook is the deep exploration of generative AI. By the end of this book , you’ll have gained a comprehensive understanding of AI/ML across all key aspects, including business use cases, data science, real-world solution architecture, risk management, and governance. You’ll possess the skills to design and construct ML solutions that effectively cater to common use cases and follow established ML architecture patterns, enabling you to excel as a true professional in the field.What you will learn Apply ML methodologies to solve business problems across industries Design a practical enterprise ML platform architecture Gain an understanding of AI risk management frameworks and techniques Build an end-to-end data management architecture using AWS Train large-scale ML models and optimize model inference latency Create a business application using artificial intelligence services and custom models Dive into generative AI with use cases, architecture patterns, and RAG Who this book is for This book is for solutions architects working on ML projects, ML engineers transitioning to ML solution architect roles, and MLOps engineers. Additionally, data scientists and analysts who want to enhance their practical knowledge of ML systems engineering, as well as AI/ML product managers and risk officers who want to gain an understanding of ML solutions and AI risk management, will also find this book useful. A basic knowledge of Python, AWS, linear algebra, probability, and cloud infrastructure is required before you get started with this handbook.
  aws eks architecture diagram: Applied Machine Learning and High-Performance Computing on AWS Mani Khanuja, Farooq Sabir, Shreyas Subramanian, Trenton Potgieter, 2022-12-30 Build, train, and deploy large machine learning models at scale in various domains such as computational fluid dynamics, genomics, autonomous vehicles, and numerical optimization using Amazon SageMaker Key FeaturesUnderstand the need for high-performance computing (HPC)Build, train, and deploy large ML models with billions of parameters using Amazon SageMakerLearn best practices and architectures for implementing ML at scale using HPCBook Description Machine learning (ML) and high-performance computing (HPC) on AWS run compute-intensive workloads across industries and emerging applications. Its use cases can be linked to various verticals, such as computational fluid dynamics (CFD), genomics, and autonomous vehicles. This book provides end-to-end guidance, starting with HPC concepts for storage and networking. It then progresses to working examples on how to process large datasets using SageMaker Studio and EMR. Next, you'll learn how to build, train, and deploy large models using distributed training. Later chapters also guide you through deploying models to edge devices using SageMaker and IoT Greengrass, and performance optimization of ML models, for low latency use cases. By the end of this book, you'll be able to build, train, and deploy your own large-scale ML application, using HPC on AWS, following industry best practices and addressing the key pain points encountered in the application life cycle. What you will learnExplore data management, storage, and fast networking for HPC applicationsFocus on the analysis and visualization of a large volume of data using SparkTrain visual transformer models using SageMaker distributed trainingDeploy and manage ML models at scale on the cloud and at the edgeGet to grips with performance optimization of ML models for low latency workloadsApply HPC to industry domains such as CFD, genomics, AV, and optimizationWho this book is for The book begins with HPC concepts, however, it expects you to have prior machine learning knowledge. This book is for ML engineers and data scientists interested in learning advanced topics on using large datasets for training large models using distributed training concepts on AWS, deploying models at scale, and performance optimization for low latency use cases. Practitioners in fields such as numerical optimization, computation fluid dynamics, autonomous vehicles, and genomics, who require HPC for applying ML models to applications at scale will also find the book useful.
  aws eks architecture diagram: Simplify Big Data Analytics with Amazon EMR Sakti Mishra, 2022-03-25 Design scalable big data solutions using Hadoop, Spark, and AWS cloud native services Key FeaturesBuild data pipelines that require distributed processing capabilities on a large volume of dataDiscover the security features of EMR such as data protection and granular permission managementExplore best practices and optimization techniques for building data analytics solutions in Amazon EMRBook Description Amazon EMR, formerly Amazon Elastic MapReduce, provides a managed Hadoop cluster in Amazon Web Services (AWS) that you can use to implement batch or streaming data pipelines. By gaining expertise in Amazon EMR, you can design and implement data analytics pipelines with persistent or transient EMR clusters in AWS. This book is a practical guide to Amazon EMR for building data pipelines. You'll start by understanding the Amazon EMR architecture, cluster nodes, features, and deployment options, along with their pricing. Next, the book covers the various big data applications that EMR supports. You'll then focus on the advanced configuration of EMR applications, hardware, networking, security, troubleshooting, logging, and the different SDKs and APIs it provides. Later chapters will show you how to implement common Amazon EMR use cases, including batch ETL with Spark, real-time streaming with Spark Streaming, and handling UPSERT in S3 Data Lake with Apache Hudi. Finally, you'll orchestrate your EMR jobs and strategize on-premises Hadoop cluster migration to EMR. In addition to this, you'll explore best practices and cost optimization techniques while implementing your data analytics pipeline in EMR. By the end of this book, you'll be able to build and deploy Hadoop- or Spark-based apps on Amazon EMR and also migrate your existing on-premises Hadoop workloads to AWS. What you will learnExplore Amazon EMR features, architecture, Hadoop interfaces, and EMR StudioConfigure, deploy, and orchestrate Hadoop or Spark jobs in productionImplement the security, data governance, and monitoring capabilities of EMRBuild applications for batch and real-time streaming data analytics solutionsPerform interactive development with a persistent EMR cluster and NotebookOrchestrate an EMR Spark job using AWS Step Functions and Apache AirflowWho this book is for This book is for data engineers, data analysts, data scientists, and solution architects who are interested in building data analytics solutions with the Hadoop ecosystem services and Amazon EMR. Prior experience in either Python programming, Scala, or the Java programming language and a basic understanding of Hadoop and AWS will help you make the most out of this book.
  aws eks architecture diagram: Scalable Data Architecture with Java Sinchan Banerjee, 2022-09-30 Orchestrate data architecting solutions using Java and related technologies to evaluate, recommend and present the most suitable solution to leadership and clients Key FeaturesLearn how to adapt to the ever-evolving data architecture technology landscapeUnderstand how to choose the best suited technology, platform, and architecture to realize effective business valueImplement effective data security and governance principlesBook Description Java architectural patterns and tools help architects to build reliable, scalable, and secure data engineering solutions that collect, manipulate, and publish data. This book will help you make the most of the architecting data solutions available with clear and actionable advice from an expert. You'll start with an overview of data architecture, exploring responsibilities of a Java data architect, and learning about various data formats, data storage, databases, and data application platforms as well as how to choose them. Next, you'll understand how to architect a batch and real-time data processing pipeline. You'll also get to grips with the various Java data processing patterns, before progressing to data security and governance. The later chapters will show you how to publish Data as a Service and how you can architect it. Finally, you'll focus on how to evaluate and recommend an architecture by developing performance benchmarks, estimations, and various decision metrics. By the end of this book, you'll be able to successfully orchestrate data architecture solutions using Java and related technologies as well as to evaluate and present the most suitable solution to your clients. What you will learnAnalyze and use the best data architecture patterns for problemsUnderstand when and how to choose Java tools for a data architectureBuild batch and real-time data engineering solutions using JavaDiscover how to apply security and governance to a solutionMeasure performance, publish benchmarks, and optimize solutionsEvaluate, choose, and present the best architectural alternativesUnderstand how to publish Data as a Service using GraphQL and a REST APIWho this book is for Data architects, aspiring data architects, Java developers and anyone who wants to develop or optimize scalable data architecture solutions using Java will find this book useful. A basic understanding of data architecture and Java programming is required to get the best from this book.
  aws eks architecture diagram: Mastering Kubernetes Gigi Sayfan, 2023-06-16 Go beyond the basics of Kubernetes and explore more advanced concepts, including Kubernetes in production, governance, serverless computing, and service meshes. Purchase of the print or Kindle book includes a free eBook in PDF format. Key Features Master Kubernetes architecture and design to build, deploy, and secure large-scale distributed systems Learn advanced concepts like autoscaling, multi-cluster management, serverless computing, service meshes and policy engines Explore Kubernetes 1.25 and its rich ecosystem of tools like Kubectl, Krew, K9s, Lens, and Helm Book DescriptionThe fourth edition of the bestseller Mastering Kubernetes includes the most recent tools and code to enable you to learn the latest features of Kubernetes 1.25. This book contains a thorough exploration of complex concepts and best practices to help you master the skills of designing and deploying large-scale distributed systems on Kubernetes clusters. You’ll learn how to run complex stateless and stateful microservices on Kubernetes, including advanced features such as horizontal pod autoscaling, rolling updates, resource quotas, and persistent storage backends. In addition, you’ll understand how to utilize serverless computing and service meshes. Further, two new chapters have been added. “Governing Kubernetes” covers the problem of policy management, how admission control addresses it, and how policy engines provide a powerful governance solution. “Running Kubernetes in Production” shows you what it takes to run Kubernetes at scale across multiple cloud providers, multiple geographical regions, and multiple clusters, and it also explains how to handle topics such as upgrades, capacity planning, dealing with cloud provider limits/quotas, and cost management. By the end of this Kubernetes book, you’ll have a strong understanding of, and hands-on experience with, a wide range of Kubernetes capabilities.What you will learn Learn how to govern Kubernetes using policy engines Learn what it takes to run Kubernetes in production and at scale Build and run stateful applications and complex microservices Master Kubernetes networking with services, Ingress objects, load balancers, and service meshes Achieve high availability for your Kubernetes clusters Improve Kubernetes observability with tools such as Prometheus, Grafana, and Jaeger Extend Kubernetes with the Kubernetes API, plugins, and webhooks Who this book is for If you're a system administrator or cloud developer who wants to become comfortable with Kubernetes and would like to master its advanced features, then this book is for you. Software and DevOps engineers with a working knowledge of Kubernetes, as well as technical managers of Kubernetes-based systems, will also find this book useful. Those deciding on whether to migrate to Kubernetes and are curious about its inner workings will find plenty of answers here as well. Basic familiarity with networking concepts will prove beneficial.
  aws eks architecture diagram: AWS Certified Developer Associate Certification and Beyond Rajesh Daswani, Dorian Richard, 2024-07-31 Prepare to achieve the AWS Certified Developer – Associate certification and learn everything you need to advance your career in AWS development with this in-depth guide Key Features Gear up for a thriving career in AWS development with this hands-on guide Put your newfound knowledge into action with practical labs Develop, deploy, and debug cloud-based applications using AWS core services Purchase of this book unlocks access to web-based exam prep resources including mock exams, flashcards, exam tips, and the eBook PDF Book DescriptionBecoming an AWS Certified Developer is a rewarding, but challenging endeavor. With AWS’ vast capabilities and abundant resources, finding the right study material and a clear path to success can be daunting. AWS Certified Developer Associate Certification and Beyond is a one-stop guide that not only sets you up for success in the exam, but also lays the foundations for a fulfilling career in the world's most popular cloud infrastructure. This in-depth guide covers everything you need to know to pass the AWS Certified Developer – Associate exam and allows you to test yourself as you go, with knowledge checks throughout the book. You will learn to configure Elastic Load Balancing for high availability, monitor your applications with CloudWatch, and integrate authentication with Amazon Cognito. Additionally, this book grants lifetime access to online exam resources, including mock exams with exam-like timers, detailed solutions, flashcards, and invaluable exam tips, all accessible across PCs, tablets, and smartphones. By the end, you'll be ready to ace the exam and elevate your AWS application development and management skills, positioning yourself for career advancement.What you will learn Host static website content using Amazon S3 Explore accessibility, segmentation, and security with Amazon VPC Implement disaster recovery with EC2 and S3 Provision and manage relational and non-relational databases on AWS Deploy your applications automatically with AWS Elastic Beanstalk Use AWS CodeBuild, AWS CodeDeploy, and AWS CodePipeline for DevOps Manage containers using Amazon EKS and ECS Build serverless applications with AWS Lambda and AWS Cloud9 Who this book is for If you're an IT professional or a developer preparing to take the AWS Certified Developer Associate exam, this book is for you. Developers looking to build and manage their applications on the AWS platform will also find this book useful. No prior AWS experience is needed.
  aws eks architecture diagram: Mastering Amazon EC2 Badri Kesavan, 2024-05-10 Master Amazon EC2 with this comprehensive guide to unleashing the full potential of cloud computing, optimizing performance, and revolutionizing your business processes Key Features Gain an in-depth understanding of EC2 core components, connectivity, networking, and security best practices Build resilient applications with load balancing, autoscaling and diverse storage options Learn advanced concepts and use cases for serverless, containers, HPC, and hybrid/multi cloud architecture Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionThis comprehensive guide demystifies the complex landscape of Amazon EC2, from fundamentals to advanced concepts. You’ll begin by understanding EC2 core components, creating and managing AMIs, selecting the right instance type and size, establishing networking and connectivity, and implementing security best practices. Next, you’ll start building resilient apps on EC2, load balancing, auto scaling, storage options, performance optimization, monitoring, logging, and auditing. You'll also explore advanced concepts like containers, serverless, hybrid/multi-cloud architectures, high performance computing, big data, and disaster recovery strategies. By the end, you'll be equipped with the knowledge and confidence to harness the full potential of Amazon EC2.What you will learn Discover how to create, manage, and select the right EC2 AMIs Explore load balancing and auto scaling with Elastic Load Balancing (ELB) and Auto Scaling Groups (ASGs) Study EC2 storage options and performance optimization Master monitoring and maintenance with Amazon Web Services (AWS) tools Understand containerization, serverless computing, and EC2 automation Get up to speed with migration, modernization, and compliance in EC2 Who this book is for This Amazon book is for IT professionals, DevOps engineers, cloud architects and developers looking to delve into Amazon EC2 and cloud computing. No prior AWS experience is required as the book takes you through the fundamentals, gradually advancing toward more complex topics.
  aws eks architecture diagram: Multi-Cloud Architecture and Governance Jeroen Mulder, 2020-12-11 A comprehensive guide to architecting, managing, implementing, and controlling multi-cloud environments Key Features Deliver robust multi-cloud environments and improve your business productivity Stay in control of the cost, governance, development, security, and continuous improvement of your multi-cloud solution Integrate different solutions, principles, and practices into one multi-cloud foundation Book DescriptionMulti-cloud has emerged as one of the top cloud computing trends, with businesses wanting to reduce their reliance on only one vendor. But when organizations shift to multiple cloud services without a clear strategy, they may face certain difficulties, in terms of how to stay in control, how to keep all the different components secure, and how to execute the cross-cloud development of applications. This book combines best practices from different cloud adoption frameworks to help you find solutions to these problems. With step-by-step explanations of essential concepts and practical examples, you’ll begin by planning the foundation, creating the architecture, designing the governance model, and implementing tools, processes, and technologies to manage multi-cloud environments. You’ll then discover how to design workload environments using different cloud propositions, understand how to optimize the use of these cloud technologies, and automate and monitor the environments. As you advance, you’ll delve into multi-cloud governance, defining clear demarcation models and management processes. Finally, you’ll learn about managing identities in multi-cloud: who’s doing what, why, when, and where. By the end of this book, you’ll be able to create, implement, and manage multi-cloud architectures with confidenceWhat you will learn Get to grips with the core functions of multiple cloud platforms Deploy, automate, and secure different cloud solutions Design network strategy and get to grips with identity and access management for multi-cloud Design a landing zone spanning multiple cloud platforms Use automation, monitoring, and management tools for multi-cloud Understand multi-cloud management with the principles of BaseOps, FinOps, SecOps, and DevOps Define multi-cloud security policies and use cloud security tools Test, integrate, deploy, and release using multi-cloud CI/CD pipelines Who this book is for This book is for architects and lead engineers involved in architecting multi-cloud environments, with a focus on getting governance right to stay in control of developments in multi-cloud. Basic knowledge of different cloud platforms (Azure, AWS, GCP, VMWare, and OpenStack) and understanding of IT governance is necessary.
  aws eks architecture diagram: Building Multi-Tenant SaaS Architectures Tod Golding, 2024-04-24 Software as a service (SaaS) is on the path to becoming the de facto model for building, delivering, and operating software solutions. Adopting a multi-tenant SaaS model requires builders to take on a broad range of new architecture, implementation, and operational challenges. How data is partitioned, how resources are isolated, how tenants are authenticated, how microservices are built—these are just a few of the many areas that need to be on your radar when you're designing and creating SaaS offerings. In this book, Tod Golding, a global SaaS technical lead at AWS, provides an end-to-end view of the SaaS architectural landscape, outlining the practical techniques, strategies, and patterns that every architect must navigate as part of building a SaaS environment. Describe, classify, and characterize core SaaS patterns and strategies Identify the key building blocks, trade-offs, and considerations that will shape the design and implementation of your multi-tenant solution Examine essential multi-tenant architecture strategies, including tenant isolation, noisy neighbor, data partitioning, onboarding, identity, and multi-tenant DevOps Explore how multi-tenancy influences the design and implementation of microservices Learn how multi-tenancy shapes the operational footprint of your SaaS environment
  aws eks architecture diagram: Data Analysis with Python David Taieb, 2018-12-31 Learn a modern approach to data analysis using Python to harness the power of programming and AI across your data. Detailed case studies bring this modern approach to life across visual data, social media, graph algorithms, and time series analysis. Key FeaturesBridge your data analysis with the power of programming, complex algorithms, and AIUse Python and its extensive libraries to power your way to new levels of data insightWork with AI algorithms, TensorFlow, graph algorithms, NLP, and financial time seriesExplore this modern approach across with key industry case studies and hands-on projectsBook Description Data Analysis with Python offers a modern approach to data analysis so that you can work with the latest and most powerful Python tools, AI techniques, and open source libraries. Industry expert David Taieb shows you how to bridge data science with the power of programming and algorithms in Python. You'll be working with complex algorithms, and cutting-edge AI in your data analysis. Learn how to analyze data with hands-on examples using Python-based tools and Jupyter Notebook. You'll find the right balance of theory and practice, with extensive code files that you can integrate right into your own data projects. Explore the power of this approach to data analysis by then working with it across key industry case studies. Four fascinating and full projects connect you to the most critical data analysis challenges you’re likely to meet in today. The first of these is an image recognition application with TensorFlow – embracing the importance today of AI in your data analysis. The second industry project analyses social media trends, exploring big data issues and AI approaches to natural language processing. The third case study is a financial portfolio analysis application that engages you with time series analysis - pivotal to many data science applications today. The fourth industry use case dives you into graph algorithms and the power of programming in modern data science. You'll wrap up with a thoughtful look at the future of data science and how it will harness the power of algorithms and artificial intelligence. What you will learnA new toolset that has been carefully crafted to meet for your data analysis challengesFull and detailed case studies of the toolset across several of today’s key industry contextsBecome super productive with a new toolset across Python and Jupyter NotebookLook into the future of data science and which directions to develop your skills nextWho this book is for This book is for developers wanting to bridge the gap between them and data scientists. Introducing PixieDust from its creator, the book is a great desk companion for the accomplished Data Scientist. Some fluency in data interpretation and visualization is assumed. It will be helpful to have some knowledge of Python, using Python libraries, and some proficiency in web development.
  aws eks architecture diagram: Edge Computing with Amazon Web Services Sean Howard, 2024-02-29 Build scalable, cost-effective, high-performance, and secure architectures using AWS Outposts, AWS Local Zones, AWS Wavelength, and AWS Snow services guided by best practices and practical examples Key Features Take advantage of the opportunities and challenges arising from the exponential growth of connected devices Use AWS edge compute services to extend your applications to wherever they are needed Follow guided tutorials for building an IIoT gateway and a distributed edge application with AWS services Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionThe surge in connected edge devices has driven organizations to capitalize on the opportunities presented by the massive amounts of data generated by these devices. However, adapting to this landscape demands significant changes in application architectures. This book serves as your guide to edge computing fundamentals, shedding light on the constraints and risks inherent in selecting solutions within this domain. You’ll explore an extensive suite of edge computing services from AWS, gaining insights into when and how to use AWS Outposts, AWS Wavelength, AWS Local Zones, AWS Snow Family, and AWS IoT Greengrass. With detailed use cases, technical requirements, and architectural patterns, you’ll master the practical implementation of these services and see how they work in real life through step-by-step examples, using the AWS CLI and AWS Management Console. To conclude, you’ll delve into essential security and operational considerations to maximize the value delivered by AWS services. By the end of this book, you'll be ready to design powerful edge computing architectures and handle complex edge computing use cases across multiple AWS services.What you will learn Overcome network challenges faced at the near and far edge Leverage services in over 450 points of presence at the edge of the AWS global backbone Deploy edge solutions in disconnected scenarios using AWS Snow Family Build multi-access edge (MEC) solutions with 5G and AWS Wavelength Reduce latency for your users with AWS Local Zones Configure AWS Snowcone as an IIoT gateway with AWS IoT Greengrass Extend your AWS VPC into your on-premise data center with AWS Outposts Deploy distributed applications for core, near, and far edge cloud services Who this book is for This book is designed for cloud architects, cloud engineers, solutions architects, and IoT architects tasked with building edge compute solutions using AWS. If you want to master the full range of edge computing services offered by AWS, this book is for you. A basic understanding of AWS services and networking is assumed.
  aws eks architecture diagram: Cloud Penetration Testing Kim Crawley, 2023-11-24 Get to grips with cloud exploits, learn the fundamentals of cloud security, and secure your organization's network by pentesting AWS, Azure, and GCP effectively Key Features Discover how enterprises use AWS, Azure, and GCP as well as the applications and services unique to each platform Understand the key principles of successful pentesting and its application to cloud networks, DevOps, and containerized networks (Docker and Kubernetes) Get acquainted with the penetration testing tools and security measures specific to each platform Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionWith AWS, Azure, and GCP gaining prominence, understanding their unique features, ecosystems, and penetration testing protocols has become an indispensable skill, which is precisely what this pentesting guide for cloud platforms will help you achieve. As you navigate through the chapters, you’ll explore the intricacies of cloud security testing and gain valuable insights into how pentesters evaluate cloud environments effectively. In addition to its coverage of these cloud platforms, the book also guides you through modern methodologies for testing containerization technologies such as Docker and Kubernetes, which are fast becoming staples in the cloud ecosystem. Additionally, it places extended focus on penetration testing AWS, Azure, and GCP through serverless applications and specialized tools. These sections will equip you with the tactics and tools necessary to exploit vulnerabilities specific to serverless architecture, thus providing a more rounded skill set. By the end of this cloud security book, you’ll not only have a comprehensive understanding of the standard approaches to cloud penetration testing but will also be proficient in identifying and mitigating vulnerabilities that are unique to cloud environments.What you will learn Familiarize yourself with the evolution of cloud networks Navigate and secure complex environments that use more than one cloud service Conduct vulnerability assessments to identify weak points in cloud configurations Secure your cloud infrastructure by learning about common cyber attack techniques Explore various strategies to successfully counter complex cloud attacks Delve into the most common AWS, Azure, and GCP services and their applications for businesses Understand the collaboration between red teamers, cloud administrators, and other stakeholders for cloud pentesting Who this book is for This book is for aspiring Penetration Testers, and the Penetration Testers seeking specialized skills for leading cloud platforms—AWS, Azure, and GCP. Those working in defensive security roles will also find this book useful to extend their cloud security skills.
  aws eks architecture diagram: Machine Learning Engineering on AWS Joshua Arvin Lat, 2022-10-27 Work seamlessly with production-ready machine learning systems and pipelines on AWS by addressing key pain points encountered in the ML life cycle Key FeaturesGain practical knowledge of managing ML workloads on AWS using Amazon SageMaker, Amazon EKS, and moreUse container and serverless services to solve a variety of ML engineering requirementsDesign, build, and secure automated MLOps pipelines and workflows on AWSBook Description There is a growing need for professionals with experience in working on machine learning (ML) engineering requirements as well as those with knowledge of automating complex MLOps pipelines in the cloud. This book explores a variety of AWS services, such as Amazon Elastic Kubernetes Service, AWS Glue, AWS Lambda, Amazon Redshift, and AWS Lake Formation, which ML practitioners can leverage to meet various data engineering and ML engineering requirements in production. This machine learning book covers the essential concepts as well as step-by-step instructions that are designed to help you get a solid understanding of how to manage and secure ML workloads in the cloud. As you progress through the chapters, you'll discover how to use several container and serverless solutions when training and deploying TensorFlow and PyTorch deep learning models on AWS. You'll also delve into proven cost optimization techniques as well as data privacy and model privacy preservation strategies in detail as you explore best practices when using each AWS. By the end of this AWS book, you'll be able to build, scale, and secure your own ML systems and pipelines, which will give you the experience and confidence needed to architect custom solutions using a variety of AWS services for ML engineering requirements. What you will learnFind out how to train and deploy TensorFlow and PyTorch models on AWSUse containers and serverless services for ML engineering requirementsDiscover how to set up a serverless data warehouse and data lake on AWSBuild automated end-to-end MLOps pipelines using a variety of servicesUse AWS Glue DataBrew and SageMaker Data Wrangler for data engineeringExplore different solutions for deploying deep learning models on AWSApply cost optimization techniques to ML environments and systemsPreserve data privacy and model privacy using a variety of techniquesWho this book is for This book is for machine learning engineers, data scientists, and AWS cloud engineers interested in working on production data engineering, machine learning engineering, and MLOps requirements using a variety of AWS services such as Amazon EC2, Amazon Elastic Kubernetes Service (EKS), Amazon SageMaker, AWS Glue, Amazon Redshift, AWS Lake Formation, and AWS Lambda -- all you need is an AWS account to get started. Prior knowledge of AWS, machine learning, and the Python programming language will help you to grasp the concepts covered in this book more effectively.
  aws eks architecture diagram: Platform Engineering for Architects Max Körbächer, Andreas Grabner, Hilliary Lipsig, 2024-10-31 Design and build Internal Developer Platforms (IDPs) with future-oriented design strategies, using the Platform as a Product mindset Key Features Learn how to design platforms that create value and drive user adoption Benefit from expert techniques for shifting to a product-centric mindset as an architect and platform team Implement best practices to understand platform complexity, manage technical debt, and ensure its evolution Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionThe rapid pace of technological advancements, the shortage of IT talent, and the complexity of modern systems highlight the need for structured guidance in building resilient, user-centric platforms for cloud-native environments. This book empowers platform engineers and architects to implement value-driven internal development platforms. You’ll learn how to identify end users, understand their challenges, and define the purpose of a platform, with a focus on self-service solutions for modern cloud-native software development, delivery, and operations. The book incorporates real-world examples of building platforms within and for the cloud, leveraging the power of Kubernetes. You’ll learn how adopting a product mindset for architecting and building platforms helps foster successful platform engineering teams. This emphasizes early end-user involvement and provides a framework that gives you the flexibility to easily adapt and extend for future use cases. The book also offers insights into building a sustainable platform without accumulating technical debt. By the end of this book, you’ll be able to drive the design, definition, and implementation of platform capabilities as a product that aligns with your organizational requirements and strategy.What you will learn Make informed decisions based on your organization's platform needs Identify missing platform capabilities and technical debt Develop a critical user journey through your platform capabilities Define the purpose, principles, and key performance indicators (KPIs) for your platform Utilize relevant data points for making data-driven product decisions Implement your own platform reference and target architectures Who this book is for This book is for platform architects and solutions architects seeking to enhance their skills in designing and building a platform as a product. It also offers valuable insights for decision-makers, platform engineers, and DevOps professionals. While familiarity with cloud-native concepts, CI/CD, and Kubernetes is beneficial, the book builds on these topics to address self-service, cost management, and technical debt. It’s particularly suited to experts tackling the challenge of integrating diverse domains to create effective internal developer platforms with top-notch operational readiness.
  aws eks architecture diagram: The The Kubernetes Workshop Zachary Arnold, Sahil Dua, Wei Huang, Faisal Masood, Melony Qin, Mohammed Abu Taleb, 2020-09-24 This workshop takes you through a Kubernetes-oriented application delivery pipeline in a practical way. You’ll learn how to manage containers efficiently and scale and stabilize cloud-native applications using Kubernetes.
  aws eks architecture diagram: Cloud Computing Demystified for Aspiring Professionals David Santana, Amit Malik, 2023-03-24 Gain in-depth knowledge of cloud computing concepts and apply them to accelerate your career in any cloud engineering role Key FeaturesGet to grips with key cloud computing concepts, cloud service providers, and best practicesExplore demonstrations for cloud computing models using real-world examplesAdopt the self-paced learning strategy and get industry-ready for cloud engineering rolesPurchase of the print or Kindle book includes a free eBook in the PDF formatBook Description If you want to upskill yourself in cloud computing domains to thrive in the IT industry, then you've come to the right place. Cloud Computing Demystified for Aspiring Professionals helps you to master cloud computing essentials and important technologies offered by cloud service providers needed to succeed in a cloud-centric job role. This book begins with an overview of transformation from traditional to modern-day cloud computing infrastructure, and various types and models of cloud computing. You'll learn how to implement secure virtual networks, virtual machines, and data warehouse resources including data lake services used in big data analytics — as well as when to use SQL and NoSQL databases and how to build microservices using multi-cloud Kubernetes services across AWS, Microsoft Azure, and Google Cloud. You'll also get step-by-step demonstrations of infrastructure, platform, and software cloud services and optimization recommendations derived from certified industry experts using hands-on tutorials, self-assessment questions, and real-world case studies. By the end of this book, you'll be ready to successfully implement cloud computing standardized concepts, services, and best practices in your workplace. What you will learnGain insights into cloud computing essentials and public, private, hybrid, and multi-cloud deployment modelsExplore core cloud computing services such as IaaS, PaaS, and SaaSDiscover major public cloud providers such as AWS, Microsoft, and GoogleUnlock the power of IaaS, PaaS, and SaaS with AWS, Azure, and GCPCreate secure networks, containers, Kubernetes, compute, databases, and API services on cloudDevelop industry-based cloud solutions using real-world examplesGet recommendations on exam preparation for cloud accreditationsWho this book is for The book is for aspiring cloud engineers, as well as college graduates, IT enthusiasts, and beginner-level cloud practitioners looking to get into cloud computing or transforming their career and upskilling themselves in a cloud engineering role in any industry. A basic understanding of networking, database development, and data analysis concepts and experience in programming languages such as Python and C# will help you get the most out of this book.
  aws eks architecture diagram: Advances in Computing Marta Tabares, Paola Vallejo, Biviana Suarez, Marco Suarez, Oscar Ruiz, Jose Aguilar, 2023-12-15 This book constitutes revised selected papers from the refereed proceedings of the 17th Colombian Conference on Computing on Advances in Computing, CCC 2023, held in Medellin, Colombia, during August 10–11, 2023. The 22 full papers and 11 short papers included in this book were carefully reviewed and selected from 68 submissions. They were organized in topical sections as follows: Industrial Applications - Industry 4.0 - Precision Agriculture, Artificial Intelligence, Distributed systems and large-scale computing, Computational Statistics, Digital Learning - E-learning, Software Engineering, Human Machine Interaction, Image processing and Computer Vision, Robotics in Industry 4.0 and Scientific Applications.
  aws eks architecture diagram: Mastering OpenStack Omar Khedher, 2024-10-21 Implement the latest techniques for designing and deploying an operational, production-ready private cloud
  aws eks architecture diagram: Docker for Developers Richard Bullington-McGuire, Andrew K. Dennis, Michael Schwartz, 2020-09-14 Learn how to deploy and test Linux-based Docker containers with the help of real-world use cases Key FeaturesUnderstand how to make a deployment workflow run smoothly with Docker containersLearn Docker and DevOps concepts such as continuous integration and continuous deployment (CI/CD)Gain insights into using various Docker tools and librariesBook Description Docker is the de facto standard for containerizing apps, and with an increasing number of software projects migrating to containers, it is crucial for engineers and DevOps teams to understand how to build, deploy, and secure Docker environments effectively. Docker for Developers will help you understand Docker containers from scratch while taking you through best practices and showing you how to address security concerns. Starting with an introduction to Docker, you'll learn how to use containers and VirtualBox for development. You'll explore how containers work and develop projects within them after you've explored different ways to deploy and run containers. The book will also show you how to use Docker containers in production in both single-host set-ups and in clusters and deploy them using Jenkins, Kubernetes, and Spinnaker. As you advance, you'll get to grips with monitoring, securing, and scaling Docker using tools such as Prometheus and Grafana. Later, you'll be able to deploy Docker containers to a variety of environments, including the cloud-native Amazon Elastic Kubernetes Service (Amazon EKS), before finally delving into Docker security concepts and best practices. By the end of the Docker book, you'll be able to not only work in a container-driven environment confidently but also use Docker for both new and existing projects. What you will learnGet up to speed with creating containers and understand how they workPackage and deploy your containers to a variety of platformsWork with containers in the cloud and on the Kubernetes platformDeploy and then monitor the health and logs of running containersExplore best practices for working with containers from a security perspectiveBecome familiar with scanning containers and using third-party security tools and librariesWho this book is for If you're a software engineer new to containerization or a DevOps engineer responsible for deploying Docker containers in the cloud and building DevOps pipelines for container-based projects, you'll find this book useful. This Docker containers book is also a handy reference guide for anyone working with a Docker-based DevOps ecosystem or interested in understanding the security implications and best practices for working in container-driven environments.
  aws eks architecture diagram: Mastering Elastic Kubernetes Service on AWS Malcolm Orr, Yang-Xin Cao (Eason), 2023-07-21 Leverage AWS EKS to optimally manage Kubernetes deployment, scaling, and monitoring for your containerized applications Purchase of the print or Kindle book includes a free eBook in the PDF format. Key Features Seamlessly deploy and run Kubernetes applications on AWS Overcome security and networking issues in Kubernetes to improve the performance of your apps Scale and provision resources to meet the dynamic needs of the cluster using AWS EKS Book Description Kubernetes has emerged as the de facto standard for container orchestration, with recent developments making it easy to deploy and handle a Kubernetes cluster. However, a few challenges such as networking, load balancing, monitoring, and security remain. To address these issues, Amazon EKS offers a managed Kubernetes service to improve the performance, scalability, reliability, and availability of AWS infrastructure and integrate with AWS networking and security services with ease. You'll begin by exploring the fundamentals of Docker, Kubernetes, Amazon EKS, and its architecture along with different ways to set up EKS. Next, you'll find out how to manage Amazon EKS, encompassing security, cluster authentication, networking, and cluster version upgrades. As you advance, you'll discover best practices and learn to deploy applications on Amazon EKS through different use cases, including pushing images to ECR and setting up storage and load balancing. With the help of several actionable practices and scenarios, you'll gain the know-how to resolve scaling and monitoring issues. Finally, you will overcome the challenges in EKS by developing the right skill set to troubleshoot common issues with the right logic. By the end of this Kubernetes book, you'll be able to effectively manage your own Kubernetes clusters and other components on AWS. What you will learn Understand Amazon EKS architecture and how every component works Effectively manage Kubernetes cluster on AWS with Amazon EKS Build a Docker image and push it to AWS ECR Efficiently scale and provision resources leveraging Amazon EKS Dive deep into security and networking with Amazon EKS Understand Fargate serverless and apply it to the workload Who this book is for This book is for cloud architects and cloud engineers who want to efficiently manage Kubernetes with Amazon EKS. Basic knowledge of containerization, Kubernetes, Docker, and AWS services is needed to grasp the content present in this book.
  aws eks architecture diagram: The DevOps Career Handbook John Knight, Nate Swenson, 2022-06-17 Explore the diverse DevOps career paths and prepare for each stage of the interview process with collective wisdom from DevOps experts and interviews with DevOps Practitioners Key Features • Navigate the many career opportunities in the field of DevOps • Discover proven tips and tricks from industry experts for every step of the DevOps interview • Save both time and money by avoiding common mistakes in your interviews Book Description DevOps is a set of practices that make up a culture, and practicing DevOps methods can make developers more productive and easier to work with. The DevOps Career Handbook is filled with hundreds of tips and tricks from experts regarding every step of the interview process, helping you save time and money by steering clear of avoidable mistakes. You'll learn about the various career paths available in the field of DevOps, before acquiring the essential skills needed to begin working as a DevOps professional. If you are already a DevOps engineer, this book will help you to gain advanced skills to become a DevOps specialist. After getting to grips with the basics, you'll discover tips and tricks for preparing your resume and online profiles and find out how to build long-lasting relationships with the recruiters. Finally, you'll read through interviews which will give you an insight into a career in DevOps from the viewpoint of individuals at different career levels. By the end of this DevOps book, you'll gain a solid understanding of what DevOps is, the various DevOps career paths, and how to prepare for your interview. What you will learn • Understand various roles and career paths for DevOps practitioners • Discover proven techniques to stand out in the application process • Prepare for the many stages of your interview, from the phone screen to taking the technical challenge and then the onsite interview • Network effectively to help your career move in the right direction • Tailor your resume to specific DevOps roles • Discover how to negotiate after you've been extended an offer Who this book is for This book is for DevOps professionals looking to take the next step in their career, engineers looking to make a career switch, technology managers who want to understand the complete picture of the DevOps landscape, and anyone interested in incorporating DevOps into their tech journey.
  aws eks architecture diagram: Technology Operating Models for Cloud and Edge Ahilan Ponnusamy, Andreas Spanner, 2023-08-11 Align your operating model with your organization's goals and enable leadership, culture, engineering, and operations to tame the complexities of the distributed future Purchase of the print or Kindle book includes a free PDF eBook Key Features Get hands-on with creating your operating model across on-premises, cloud, and edge Learn how to group, construct, and scope operating model dimensions Tackle operating model complexities like architecture, stakeholder management, platform operations, compliance, security, and technology selection Book DescriptionCloud goals, such as faster time to market, lower total cost of ownership (TCO), capex reduction, self-service enablement, and complexity reduction are important, but organizations often struggle to achieve the desired outcomes. With edge computing gaining momentum across industries and making it possible to move workloads seamlessly between cloud and edge locations, organizations need working recipes to find ways of extracting the most value out of their cloud and edge estate. This book provides a practical way to build a strategy-aligned operating model while considering various related factors such as culture, leadership, team structures, metrics, intrinsic motivators, team incentives, tenant experience, platform engineering, operations, open source, and technology choices. Throughout the chapters, you’ll discover how single, hybrid, or multicloud architectures, security models, automation, application development, workload deployments, and application modernization can be reutilized for edge workloads to help you build a secure yet flexible technology operating model. The book also includes a case study which will walk you through the operating model build process in a step-by-step way. By the end of this book, you’ll be able to build your own fit-for-purpose distributed technology operating model for your organization in an open culture way.What you will learn Get a holistic view of technology operating models and linked organization goals, strategy, and teams Overcome challenges of extending tech operating models to distributed cloud and edge environments Discover key architectural considerations in building operating models Explore the benefits of using enterprise-ready open-source products Understand how open hybrid cloud and modern dev and ops practices improve outcomes Who this book is forIf you are a cloud architect, solutions architect, DevSecOps or platform engineering manager, CTO, CIO, or IT decision maker tasked with leading cloud and edge computing initiatives, creating architectures and enterprise capability models, aligning budgets, or showing your board the value of your technology investments, then this book is for you. Prior knowledge of cloud computing, application development, and edge computing concepts will help you get the most out of this book.
  aws eks architecture diagram: AWS for Solutions Architects Alberto Artasanchez, 2021-02-19 Apply cloud design patterns to overcome real-world challenges by building scalable, secure, highly available, and cost-effective solutions Key Features Apply AWS Well-Architected Framework concepts to common real-world use cases Understand how to select AWS patterns and architectures that are best suited to your needs Ensure the security and stability of a solution without impacting cost or performance Book DescriptionOne of the most popular cloud platforms in the world, Amazon Web Services (AWS) offers hundreds of services with thousands of features to help you build scalable cloud solutions; however, it can be overwhelming to navigate the vast number of services and decide which ones best suit your requirements. Whether you are an application architect, enterprise architect, developer, or operations engineer, this book will take you through AWS architectural patterns and guide you in selecting the most appropriate services for your projects. AWS for Solutions Architects is a comprehensive guide that covers the essential concepts that you need to know for designing well-architected AWS solutions that solve the challenges organizations face daily. You'll get to grips with AWS architectural principles and patterns by implementing best practices and recommended techniques for real-world use cases. The book will show you how to enhance operational efficiency, security, reliability, performance, and cost-effectiveness using real-world examples. By the end of this AWS book, you'll have gained a clear understanding of how to design AWS architectures using the most appropriate services to meet your organization's technological and business requirements.What you will learn Rationalize the selection of AWS as the right cloud provider for your organization Choose the most appropriate service from AWS for a particular use case or project Implement change and operations management Find out the right resource type and size to balance performance and efficiency Discover how to mitigate risk and enforce security, authentication, and authorization Identify common business scenarios and select the right reference architectures for them Who this book is for This book is for application and enterprise architects, developers, and operations engineers who want to become well-versed with AWS architectural patterns, best practices, and advanced techniques to build scalable, secure, highly available, and cost-effective solutions in the cloud. Although existing AWS users will find this book most useful, it will also help potential users understand how leveraging AWS can benefit their organization.
  aws eks architecture diagram: Mastering AWS for Cloud Professionals Manjit Chakraborty, Neeraj Roy, 2024-11-08 DESCRIPTION Unlock the power of AWS and elevate your cloud expertise with Mastering AWS for Cloud Professionals. This comprehensive guide illuminates the path to cloud mastery, offering a blend of theoretical knowledge and practical expertise. Dive deep into Amazon Web Services (AWS), exploring its vast potential to revolutionize business operations and IT infrastructure. This book offers a visually enriched approach to learning AWS, using diagrams and illustrations to simplify complex concepts. Drawing from real-world experiences, it provides practical insights into implementing AWS in enterprise environments. Learn containerization through practical case studies and industry-proven methodologies, and master AWS monitoring tools for optimizing cloud-based applications and infrastructure. This comprehensive guide ensures a deep understanding of AWS solutions for practical use. With real-life scenarios and practical examples woven throughout, you will not only understand AWS solutions but will also be able to apply them effectively. You will be well-versed in leveraging AWS services to design, deploy, and manage secure, scalable, and cost-effective cloud solutions. You will understand how to optimize your cloud environment for performance and efficiency, ensuring your applications are always available and reliable. KEY FEATURES ● Comprehensive exploration of cloud computing principles and AWS-specific methodologies. ● Simplify complex AWS concepts with clear, visual diagrams and illustrations. ● Bridge the gap between theory and practice with industry-relevant architectures. WHAT YOU WILL LEARN ● Master AWS architectural fundamentals and build flexible, scalable cloud solutions. ● Design and deploy high-performance, globally distributed applications. ● Harness the power of containerization and serverless computing paradigms. ● Architect microservices and apply AWS Well-Architected Framework best practices. ● Leverage data analytics and machine learning capabilities in cloud environments. ● Secure, monitor, analyze, and optimize AWS deployments using native observability tools. WHO THIS BOOK IS FOR This book is tailored for a diverse audience of technology professionals, including cloud architects, system engineers, software developers, and IT operations specialists. This comprehensive guide serves as an excellent resource for those preparing for the AWS Solution Architect certification exam. TABLE OF CONTENTS 1. AWS Architectural Fundamentals 2. AWS Networking: Basic Constructs 3. AWS Networking: Advanced Constructs 4. AWS Compute 5. AWS Storage 6. AWS Database 7. Data Analytics 8. Containers in AWS ECS 9. Containers in AWS EKS 10. Microservices 11. ML and GenAI 12. Security in AWS 13. Observability in AWS
  aws eks architecture diagram: Serverless Architectures on AWS Peter Sbarski, Sam Kroonenburg, 2017-04-17 Summary Serverless Architectures on AWS teaches you how to build, secure and manage serverless architectures that can power the most demanding web and mobile apps. Forewords by Patrick Debois (Founder of devopsdays) and Dr. Donald F. Ferguson (Columbia University). Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the Technology There's a shift underway toward serverless cloud architectures. With the release of serverless computer technologies such as AWS Lambda, developers are now building entirely serverless platforms at scale. In these new architectures, traditional back-end servers are replaced with cloud functions acting as discrete single-purpose services. By composing and combining these serverless cloud functions together in a loose orchestration and adopting useful third-party services, developers can create powerful yet easy-to-understand applications. About the Book Serverless Architectures on AWS teaches you how to build, secure, and manage serverless architectures that can power the most demanding web and mobile apps. You'll get going quickly with this book's ready-made real-world examples, code snippets, diagrams, and descriptions of architectures that can be readily applied. By the end, you'll be able to architect and build your own serverless applications on AWS. What's Inside First steps with serverless computing Important patterns and architectures Writing AWS Lambda functions and using the API Gateway Composing serverless applications using key services like Auth0 and Firebase Securing, deploying, and managing serverless architectures About the Reader This book is for software developers interested in back end technologies. Experience with JavaScript (node.js) and AWS is useful but not required. About the Author Dr. Peter Sbarski is a well-known AWS expert, VP of engineering at A Cloud Guru, and head of Serverlessconf. Table of Contents PART 1 - FIRST STEPS Going serverless Architectures and patterns Building a serverless application Setting up your cloud PART 2 - CORE IDEAS Authentication and authorization Lambda the orchestrator API Gateway PART 3 - GROWING YOUR ARCHITECTURE Storage Database Going the last mile APPENDIXES Services for your serverless architecture Installation and setup More about authentication and authorization Lambda insider Models and mapping
  aws eks architecture diagram: Security and Microservice Architecture on AWS Gaurav Raje, 2021-09-08 Security is usually an afterthought when organizations design microservices for cloud systems. Most companies today are exposed to potential security threats, but their responses are often more reactive than proactive. This leads to unnecessarily complicated systems that are hard to implement and even harder to manage and scale. Author Gaurav Raje shows you how to build highly secure systems on AWS without increasing overhead. Ideal for cloud solution architects and software developers with AWS experience, this practical book starts with a high-level architecture and design discussion, then explains how to implement your solution in the cloud while ensuring that the development and operational experience isn't compromised. By leveraging the AWS Shared Responsibility Model, you'll be able to: Develop a modular architecture using microservices that aims to simplify compliance with various regulations in finance, medicine, and legal services Introduce various AWS-based security controls to help protect your microservices from malicious actors Leverage the modularity of the architecture to independently scale security mechanisms on individual microservices Improve the security posture without compromising the autonomy or efficiency of software development teams
Modernize Applications with Microservices Using Amazon EKS
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Guidance for a Cell-Based Architecture for Amazon EKS
This architecture diagram shows how you can use a cell-based architecture to improve resiliency and reduce data transfer costs for Amazon EKS workloads. It consists of both cells and …

AWS Prescriptive Guidance
describes the outcomes, design, architecture, and implementation of Amazon EKS clusters for running modernized application workloads. By using this guide's solution, you can quickly …

Scalable AI Model Deployment with AWS SageMaker and EKS
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Local Clusters for Amazon EKS on AWS Outposts
ts mazon EKS on AWS Outposts Architecture Diagrams Publication date: June 02, 2023 (Diagram history) This reference architecture diagram helps you deploy a local cluster for Amazon …

Migrating to EKS - Amazon Web Services, Inc.
Amazon EKS is architected across multiple availability zones for high availability. The Amazon EKS control plane is built using native services surrounded by operational tooling. Each cluster …

ARCHIVED: Implementing Microservices on AWS
Dec 1, 2016 · microservices architecture (user interface, microservices implementation, and data store) and how to build it on AWS using container technologies. It then recommends the AWS …

Expose Microservices in a Hybrid Scenario Using Amazon EKS
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Implementing Microservices on AWS - AWS Whitepaper
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Decoding the AWS EKS Architecture: A Deep Dive into Managed
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Hybrid Use Cases EKS-A/ECS-A - Amazon Web Services, Inc.
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Run OpenText InfoArchive on Amazon Elastic Kubernetes Service (Amazon EKS) and Amazon Relational Database Service (Amazon RDS). An in-depth exploration of this OpenText …

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AWS Reference Architecture Guidance for SQL-Based ETL with Apache Spark on Amazon EKS This architecture diagram accelerates data processing with Apache Spark on Amazon EKS. …

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Modernize Applications with Microservices Architecture using Amazon Elastic Kubernetes Service (Amazon EKS) Integrate Amazon EKS with VMware Cloud on AWS and use AWS DevOps …

AWS Prescriptive Guidance
Amazon Elastic Kubernetes Service (Amazon EKS) helps you to efficiently manage containerized applications at scale. This guide delves into a set of widely recognized recommendations and …

Amazon EKS architecture - Amazon EKS - docs.aws.amazon.com
Learn how Amazon EKS aligns with Kubernetes cluster architecture, offering a highly available and resilient control plane, and flexible compute options like AWS Fargate, Karpenter, …

Amazon Elastic Kubernetes Service (Amazon EKS) Architecture Explained ...
Mar 25, 2021 · Amazon Elastic Kubernetes Service (Amazon EKS) runs the Kubernetes management infrastructure for you across multiple AWS Availability Zones to eliminate a …

What does Kubernetes (EKS) production cluster look like - Medium
Aug 26, 2022 · Having worked on AWS EKS K8s production systems for few companies, I would like to share my experience on this interesting technology. I am trying to include all the …

AWS EKS Architecture: Clusters, Nodes, and Networks
May 13, 2021 · Learn how Amazon EKS works and discover key components of the AWS EKS Architecture including clusters, nodes, and networking.

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Aug 8, 2021 · Amazon EKS is a managed service that makes it easy for you to run Kubernetes on AWS without needing to install and operate your own Kubernetes control plane or worker …

Guidance for a Cell-Based Architecture for Amazon EKS
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AWS EKS – Posit Workbench Documentation Release 2025.05.1
May 1, 2025 · In this architecture, users can leverage the scale, reliability, and availability of AWS EKS. With a Kubernetes back-end, user sessions and jobs run in isolated pods and potentially …

Expose Microservices in a Hybrid Scenario Using Amazon EKS
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Complete Guide to AWS EKS: Architecture, Pricing and Tips
Here is a diagram of the architecture: An EKS cluster is a Kubernetes cluster that is managed by the EKS control plane. It consists of one or more Amazon EC2 instances that run Kubernetes …

Modernize Applications with Microservices Using Amazon EKS
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