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| aws network topology diagram: AWS Certified Advanced Networking Study Guide Todd Montgomery, 2023-09-26 The latest edition of the official study guide for the AWS Advanced Networking certification specialty exam The newly revised second edition of the AWS Certified Advanced Networking Study Guide: Specialty (ANS-C01) Exam delivers an expert review of Amazon Web Services Networking fundamentals as they relate to the ANS-C01 exam. You’ll find detailed explanations of critical exam topics combined with real-world scenarios that will help you build the robust knowledge base you need for the test—and to succeed in the field as an AWS Certified Networking specialist. Learn about the design, implementation and deployment of AWS cloud-based Networking solutions, core services implementation, AWS service architecture design and maintenance (including architectural best practices), monitoring, Hybrid networks, security, compliance, governance, and network automation. The book also offers one year of free access to Sybex’s online interactive learning environment and expert study tools, featuring flashcards, a glossary of useful terms, chapter tests, practice exams, and a test bank to help you keep track of your progress and measure your exam readiness. The coveted AWS Advanced Networking credential proves your skills with Amazon Web Services and hybrid IT network architectures at scale. It assesses your ability to apply deep technical knowledge to the design and implementation of AWS Networking services. This book provides you with comprehensive review and practice opportunities so you can succeed on the challenging ANS-C01 exam the first time around. It also offers: Coverage of all relevant exam domains and competencies Explanations of how to apply the AWS skills discussed within to the real world in the context of an AWS Certified Networking-related career Complimentary access to the practical Sybex online learning environment, complete with practice exams, flashcards, a glossary, and test bank AWS certification proves to potential employers that you have the knowledge and practical skills you need to deliver forward-looking, resilient, cloud-based solutions. The AWS Certified Advanced Networking Study Guide: Specialty (ANS-C01) Exam, 2nd Edition, is your ticket to the next big step in your career. |
| aws network topology diagram: Network Automation with Go Nicolas Leiva, Michael Kashin, 2023-01-05 Understand the world of modern network automation with Go and deepen your knowledge with insights from 10+ experts who have real-world hands-on experience with network automation and/or are using Go for network-related tasks Key FeaturesA comprehensive guide to the world of modern network automationUse Go to build anything from repetitive task automation to complex distributed systemsOver 30 practical, ready-to-use sample programsBook Description Go's built-in first-class concurrency mechanisms make it an ideal choice for long-lived low-bandwidth I/O operations, which are typical requirements of network automation and network operations applications. This book provides a quick overview of Go and hands-on examples within it to help you become proficient with Go for network automation. It's a practical guide that will teach you how to automate common network operations and build systems using Go. The first part takes you through a general overview, use cases, strengths, and inherent weaknesses of Go to prepare you for a deeper dive into network automation, which is heavily reliant on understanding this programming language. You'll explore the common network automation areas and challenges, what language features you can use in each of those areas, and the common software tools and packages. To help deepen your understanding, you'll also work through real-world network automation problems and apply hands-on solutions to them. By the end of this book, you'll be well-versed with Go and have a solid grasp on network automation. What you will learnUnderstand Go programming language basics via network-related examplesFind out what features make Go a powerful alternative for network automationExplore network automation goals, benefits, and common use casesDiscover how to interact with network devices using a variety of technologiesIntegrate Go programs into an automation frameworkTake advantage of the OpenConfig ecosystem with GoBuild distributed and scalable systems for network observabilityWho this book is for This book is for all network engineers, administrators, and other network practitioners looking to understand what network automation is and how the Go programming language can help develop network automation solutions. As the first part of the book offers a comprehensive overview of Go's main features, this book is suitable for beginners with a solid grasp on programming basics. |
| aws network topology 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 network topology diagram: AWS Certified Solutions Architect – Professional Exam Guide (SAP-C02) Patrick Sard, Yohan Wadia, 2024-03-01 Become an AWS Solutions Architect Professional with this latest AWS (SAP-C02) exam guide Purchase of this book unlocks access to web-based exam prep resources, including mock exams, flashcards, and exam tips, and the eBook PDF Key Features Explore content meticulously aligned with AWS (SAP-C02) exam objectives Challenge your knowledge through mock tests with exam-level difficulty Gain expert insights and learn best practices for optimizing your cloud solutions from experienced AWS practitioners Book DescriptionKnown for its difficulty and ranking among the highest-paying IT certifications, the AWS Certified Solutions Architect Professional (SAP-C02) certification demands significant hands-on experience for success. This comprehensive guide reinforces your knowledge and enhances your skills in various solution architectures and services. Additionally, you’ll gain lifetime access to supplementary practice resources such as mock exams, flashcards, and exam tips from experts. Aligned with exam objectives, this AWS certification study guide helps you assess your knowledge through timed mock tests that simulate exam conditions. Beyond exam preparation, you’ll develop advanced skills in designing distributed systems on AWS cloud and become proficient in providing architectural recommendations for complex application implementation, and enhancing infrastructure efficiency. As you advance, you’ll gain insights into how to foster unique thinking and factor diverse considerations while architecting solutions. You’ll also get to grips with designing multi-tier applications, deploying enterprise-grade operations, and migrating complex applications to AWS. By the end of this book, you’ll be able to design and deploy innovative solutions on AWS, unlocking new opportunities and driving success in the dynamic world of cloud computing.What you will learn Design and deploy fully secure, dynamically scalable, highly available, fault-tolerant, and reliable apps on AWS Integrate on-premises environments seamlessly with AWS resources Select appropriate architecture patterns and AWS services for designing and deploying complex applications Continuously improve solution architectures for security, reliability, performance, operational excellence, and cost-efficiency Plan and execute migrations of complex applications to AWS Implement cost-control strategies to deliver cost-effective solutions on AWS Who this book is for This book is for seasoned IT professionals adept at crafting and implementing cloud architecture on AWS. Familiarity with the AWS platform and services is essential. You'll grasp the content more effectively if you have at least 2 years of hands-on experience in AWS-based applications. |
| aws network topology diagram: Ultimate AWS Certified Solutions Architect Associate Exam Guide Venkata Sasi Kanumuri, Otieno Ododa, 2024-09-25 TAGLINE Your Definitive Path to Mastering Cloud Architecture Skills and Conquering the SAA-C03 Exam. KEY FEATURES ● Immerse in practical learning to solidify your grasp of AWS architecture principles. ● Gain insights from industry-leading tips and best practices to think like an expert Solution Architect. ● Designed for all experience levels, this guide caters to both beginners and seasoned professionals. ● Deepen your knowledge of core AWS services while exploring advanced topics like serverless computing, containers, and machine learning. ● Equip yourself with proven strategies and expert tips to confidently pass the AWS Certified Solutions Architect - Associate exam. DESCRIPTION The AWS Certified Solutions Architect - Associate SAA-C03 credential boosts career prospects and salaries, with 73% of professionals seeing job improvements and a 26% salary increase. The Ultimate AWS Certified Solutions Architect - Associate (SAA-C03) Certification Guide equips you with the knowledge to master AWS architecture, from core services to advanced topics like serverless computing and machine learning, with practical examples and expert insights that are crucial for passing the exam and excelling in real-world applications. This book not only covers the fundamentals but also explores advanced topics like serverless computing, containers, and machine learning. Each chapter is packed with practical examples, real-world scenarios, hands-on exercises, and expert insights that will build your confidence and competence as a cloud architect. With this guide, you will gain the knowledge and skills needed to create highly available, fault-tolerant architectures that meet the demands of today’s dynamic cloud environments. Whether you are aiming to pass the AWS Certified Solutions Architect – Associate exam or looking to enhance your cloud architecture skills, this book is your gateway to success. Take the first step towards becoming an AWS Certified Solutions Architect and unlock new horizons in your cloud architecture career today! WHAT WILL YOU LEARN ● Develop a strong grasp of cloud fundamentals, essential for thriving in the fast-paced world of cloud technology. ● Learn to build secure, fault-tolerant, and cost-efficient AWS architectures that meet diverse business requirements. ● Gain comprehensive knowledge of AWS services like computing, storage, networking, and databases to create scalable and reliable cloud solutions. ● Explore cutting-edge AWS solutions such as serverless computing, containers, and machine learning to enhance your cloud architectures. ● Develop the skills to tackle complex cloud environments with confidence, using practical insights and strategies to solve real-world problems. ● Master expert tips and targeted strategies to excel in the AWS Certified Solutions Architect – Associate (SAA-C03) exam and achieve certification. WHO IS THIS BOOK FOR? This book is tailored for aspiring AWS professionals and those looking to advance as Solution Architects, with a focus on preparing for the SAA-C03 exam. No prior experience in cloud application development or deployment is required, making it an ideal resource for beginners eager to start their AWS journey. Experienced professionals will also find value in the comprehensive coverage and advanced topics, ensuring they can refine their skills and achieve certification success. TABLE OF CONTENTS 1. Introduction to Cloud Computing, AWS, and AWS SAA C-03 2. Identity and Access Management in AWS 3. Networking in AWS 4. Cloud Storage 5. Deep-Dive into AWS Compute 6. Deep Dive Into AWS Databases 7. AWS Application Services 8. AWS Management and Governance Services 9. AWS Cloud Security 10. Cloud Architecture and AWS Framework 11. AWS SAA C-03 Certification Preparation Index |
| aws network topology diagram: Network Evolution and Applications Vikas Kumar Jha, Bishwajeet Kumar Pandey, Ciro Rodriguez, 2022-11-14 Network Evolution and Applications provides a comprehensive, integrative, and easy approach to understanding the technologies, concepts, and milestones in the history of networking. It provides an overview of different aspects involved in the networking arena that includes the core technologies that are essential for communication and important in our day-to-day life. It throws some light on certain past networking concepts and technologies that have been revolutionary in the history of science and technology and have been highly impactful. It expands on various concepts like Artificial Intelligence, Software Defined Networking, Cloud Computing, and Internet of Things, which are very popular at present. This book focuses on the evolutions made in the world of networking. One can’t imagine the world without the Internet today; with the Internet and the present- day networking, distance doesn’t matter at all. The COVID-19 pandemic has resulted in a tough time worldwide, with global lockdown, locked homes, empty streets, stores without consumers, and offices with no or fewer staff. Thanks to the modern digital networks, the culture of work from home (WFH) or working remotely with the network/Internet connection has come to the fore, with even school and university classes going online. Although WFH is not new, the COVID-19 pandemic has given it a new look, and industries are now willfully exploring WFH to extend it in the future. The aim of this book is to present the timeline of networking to show the developments made and the milestones that were achieved due to these developments. |
| aws network topology diagram: Distributed Computer and Communication Networks: Control, Computation, Communications Vladimir M. Vishnevskiy, Konstantin E. Samouylov, Dmitry V. Kozyrev, 2021-12-14 This book constitutes the refereed post-conference proceedings of the 24th International Conference on Distributed and Computer and Communication Networks, DCCN 2021, held in Moscow, Russia, in September 2021. The 26 revised full papers and 3 revised short papers were carefully reviewed and selected from 151 submissions. The papers cover the following topics: computer and communication networks; analytical modeling of distributed systems; and distributed systems applications. |
| aws network topology diagram: Cognitive Computing: Theory and Applications Vijay V Raghavan, Venkat N. Gudivada, Venu Govindaraju, C.R. Rao, 2016-09-10 Cognitive Computing: Theory and Applications, written by internationally renowned experts, focuses on cognitive computing and its theory and applications, including the use of cognitive computing to manage renewable energy, the environment, and other scarce resources, machine learning models and algorithms, biometrics, Kernel Based Models for transductive learning, neural networks, graph analytics in cyber security, neural networks, data driven speech recognition, and analytical platforms to study the brain-computer interface. - Comprehensively presents the various aspects of statistical methodology - Discusses a wide variety of diverse applications and recent developments - Contributors are internationally renowned experts in their respective areas |
| aws network topology diagram: VMware Cloud on AWS Blueprint Oleg Ulyanov, Michael Schwartzman, Harsha Sanku, 2024-02-27 Explore use cases and best practices to seamlessly migrate and scale legacy enterprise-grade applications running on on-premises vSphere environments to VMware Cloud SDDCs running on AWS infrastructure Key Features Understand data center extension, migration, disaster recovery, and app modernization through a variety of use cases Become an expert at configuring, automating, and troubleshooting VMC on AWS SDDC Implement design considerations, best practices, and onboarding preflight checklist for optimal performance on VMC on AWS Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionIf you’re looking to effortlessly transition from on-premises VMware vSphere environments or capital expenditure (CAPEX) to an agile operational expenditure (OPEX) model, trust the VMware Cloud (VMC) on AWS platform for swift re-platforming of legacy applications into cloud-native framework. This comprehensive guide addresses hybrid cloud challenges, offering detailed solutions within the VMware Cloud on AWS ecosystem. Covering the foundational architecture, software-defined data center (SDDC) components of VMware Cloud on AWS, network and security configurations, and AWS service integrations, this book lays the foundation for you to advance to vCenter management, vSAN storage policies, NSX architecture, compute policies, SDDC console management, and the EDRS mechanism for cluster scaling. You’ll also explore integrated services such as VMware HCX for migration, VMware Aria suite, Tanzu Managed Kubernetes, and disaster recovery. Further, the book takes you through VMware Cloud APIs and guides you in managing workloads with VMware Cloud on AWS Outposts. With the help of practical insights, configuration tips, and best practices, you’ll unlock the full potential of VMC on AWS. By the end of this book, you’ll be equipped to successfully architect and manage VMware Cloud on AWS SDDCs, handling day-to-day operations expertly.What you will learn Examine the foundational architecture components of VMware Cloud on AWS, including vSphere, vSAN, and NSX Explore the various integrated services available within VMware Cloud on AWS Delve into VMware Cloud on AWS SDDC, vCenter, and vSAN optimizations Build applications and apply best practices within the VMware Cloud on AWS to manage day-to-day operations Streamline infrastructure management for VMware Cloud on AWS with Infrastructure as Code (IaC) Extend cloud capabilities to on-premises environments using VMware Cloud on AWS Outposts Who this book is for The book is intended for cloud and solutions architects, DevOps engineers, site reliability engineers (SREs), system and network admins, and cloud engineers with experience in on-premises VMware or AWS administration, facilitating the seamless integration of VMware cloud technologies. Prior understanding of cloud computing, virtualization principles, VMware vSphere administration, vSAN, and NSX along with AWS cloud basics will be helpful. |
| aws network topology 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 network topology 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 network topology diagram: CompTIA Network+ Certification Guide Glen D. Singh, Rishi Latchmepersad, 2018-12-19 This is a practical certification guide covering all the exam topics in an easy-to-follow manner backed with self-assessment scenarios for better preparation. Key FeaturesA step-by-step guide to give you a clear understanding of the Network+ CertificationLearn about network architecture, protocols, security, and network troubleshootingConfidently ace the N10-007 exam with the help of practice tests Book Description CompTIA certified professionals have always had the upper hand in the information technology industry. This book will be your ideal guide to efficiently passing and achieving this certification. Learn from industry experts and implement their practices to resolve complex IT issues. This book revolves around networking concepts where readers will learn topics like network architecture, security, network monitoring, and troubleshooting. This book will not only prepare the readers conceptually but will also help them pass the N10-007 exam. This guide will also provide practice exercise after every chapter where readers can ensure their concepts are clear. By the end of this book, readers will leverage this guide and the included practice questions to boost their confidence in appearing for the actual certificate. What you will learnExplain the purpose of a variety of networking concepts and implement them appropriatelyUnderstand physical security and common attacks while securing wired and wireless networksUnderstand the fundamentals of IPv4 and IPv6Determine and explain the appropriate cabling, device, and storage technologiesUnderstand network troubleshooting methodology and appropriate tools to support connectivity and performanceUse best practices to manage the network, determine policies, and ensure business continuityWho this book is for This book is ideal for readers wanting to pass the CompTIA Network+ certificate. Rookie network engineers and system administrators interested in enhancing their networking skills would also benefit from this book. No Prior knowledge on networking would be needed. |
| aws network topology diagram: Multicloud Solution for Business Continuity using IBM Spectrum Virtualize for Public Cloud on AWS Version 1 Release 1 IBM, IBM Redbooks, 2020-02-21 This document is intended to facilitate the deployment of the Multicloud Solution for Business Continuity by using IBM Spectrum Virtualize for Public Cloud on AWS. To complete the tasks it describes, you must understand the IBM FlashSystem 9100, IBM Spectrum Virtualize for Public Cloud on AWS Cloud. The information in this document is distributed on an as is basis without any warranty that is either expressed or implied. Support assistance for the use of this material is limited to situations where IBM Storwize® or IBM FlashSystem storage devices are supported and entitled and where the issues are specific to a blueprint implementation. |
| aws network topology diagram: AWS Certified Solutions Architect – Associate Guide Gabriel Ramirez, Stuart Scott, 2018-10-31 Learn from the AWS subject-matter experts, apply real-world scenarios and clear the AWS Certified Solutions Architect –Associate exam Key FeaturesBuild highly reliable and scalable workloads on the AWS platformPass the exam in less time and with confidenceGet up and running with building and managing applications on the AWS platformBook Description Amazon Web Services (AWS) is currently the leader in the public cloud market. With an increasing global interest in leveraging cloud infrastructure, the AWS Cloud from Amazon offers a cutting-edge platform for architecting, building, and deploying web-scale cloud applications. As more the rate of cloud platform adoption increases, so does the need for cloud certification. The AWS Certified Solution Architect – Associate Guide is your one-stop solution to gaining certification. Once you have grasped what AWS and its prerequisites are, you will get insights into different types of AWS services such as Amazon S3, EC2, VPC, SNS, and more to get you prepared with core Amazon services. You will then move on to understanding how to design and deploy highly scalable applications. Finally, you will study security concepts along with the AWS best practices and mock papers to test your knowledge. By the end of this book, you will not only be fully prepared to pass the AWS Certified Solutions Architect – Associate exam but also capable of building secure and reliable applications. What you will learnExplore AWS terminology and identity and access managementAcquaint yourself with important cloud services and features in categories such as compute, network, storage, and databasesDefine access control to secure AWS resources and set up efficient monitoringBack up your database and ensure high availability by understanding all of the database-related services in the AWS CloudIntegrate AWS with your applications to meet and exceed non-functional requirementsBuild and deploy cost-effective and highly available applicationsWho this book is for The AWS Certified Solutions Architect –Associate Guide is for you if you are an IT professional or Solutions Architect wanting to pass the AWS Certified Solution Architect – Associate 2018 exam. This book is also for developers looking to start building scalable applications on AWS |
| aws network topology diagram: Computer Architecture John L. Hennessy, David A. Patterson, Krste Asanović, 2012 The computing world is in the middle of a revolution: mobile clients and cloud computing have emerged as the dominant paradigms driving programming and hardware innovation. This book focuses on the shift, exploring the ways in which software and technology in the 'cloud' are accessed by cell phones, tablets, laptops, and more |
| aws network topology diagram: Cloud Native Architectures Tom Laszewski, Kamal Arora, Erik Farr, Piyum Zonooz, 2018-08-31 Learn and understand the need to architect cloud applications and migrate your business to cloud efficiently Key Features Understand the core design elements required to build scalable systems Plan resources and technology stacks effectively for high security and fault tolerance Explore core architectural principles using real-world examples Book Description Cloud computing has proven to be the most revolutionary IT development since virtualization. Cloud native architectures give you the benefit of more flexibility over legacy systems. To harness this, businesses need to refresh their development models and architectures when they find they don’t port to the cloud. Cloud Native Architectures demonstrates three essential components of deploying modern cloud native architectures: organizational transformation, deployment modernization, and cloud native architecture patterns. This book starts with a quick introduction to cloud native architectures that are used as a base to define and explain what cloud native architecture is and is not. You will learn what a cloud adoption framework looks like and develop cloud native architectures using microservices and serverless computing as design principles. You’ll then explore the major pillars of cloud native design including scalability, cost optimization, security, and ways to achieve operational excellence. In the concluding chapters, you will also learn about various public cloud architectures ranging from AWS and Azure to the Google Cloud Platform. By the end of this book, you will have learned the techniques to adopt cloud native architectures that meet your business requirements. You will also understand the future trends and expectations of cloud providers. What you will learn Learn the difference between cloud native and traditional architecture Explore the aspects of migration, when and why to use it Identify the elements to consider when selecting a technology for your architecture Automate security controls and configuration management Use infrastructure as code and CICD pipelines to run environments in a sustainable manner Understand the management and monitoring capabilities for AWS cloud native application architectures Who this book is for Cloud Native Architectures is for software architects who are keen on designing resilient, scalable, and highly available applications that are native to the cloud. |
| aws network topology diagram: AWS Certified Database - Specialty (DBS-C01) Certification Guide Kate Gawron, 2022-05-13 Pass the AWS Certified Database- Specialty Certification exam with the help of practice tests Key Features • Understand different AWS database technologies and when to use them • Master the management and administration of AWS databases using both the console and command line • Complete, up-to-date coverage of DBS-C01 exam objectives to pass it on the first attempt Book Description The AWS Certified Database – Specialty certification is one of the most challenging AWS certifications. It validates your comprehensive understanding of databases, including the concepts of design, migration, deployment, access, maintenance, automation, monitoring, security, and troubleshooting. With this guide, you'll understand how to use various AWS databases, such as Aurora Serverless and Global Database, and even services such as Redshift and Neptune. You'll start with an introduction to the AWS databases, and then delve into workload-specific database design. As you advance through the chapters, you'll learn about migrating and deploying the databases, along with database security techniques such as encryption, auditing, and access controls. This AWS book will also cover monitoring, troubleshooting, and disaster recovery techniques, before testing all the knowledge you've gained throughout the book with the help of mock tests. By the end of this book, you'll have covered everything you need to pass the DBS-C01 AWS certification exam and have a handy, on-the-job desk reference guide. What you will learn • Become familiar with the AWS Certified Database – Specialty exam format • Explore AWS database services and key terminology • Work with the AWS console and command line used for managing the databases • Test and refine performance metrics to make key decisions and reduce cost • Understand how to handle security risks and make decisions about database infrastructure and deployment • Enhance your understanding of the topics you've learned using real-world hands-on examples • Identify and resolve common RDS, Aurora, and DynamoDB issues Who this book is for This AWS certification book is for database administrators and IT professionals who perform complex big data analysis as well as students looking to get AWS Database Specialty certified. A solid understanding of cloud computing, specifically AWS services, is a must. Knowledge of basic administration tasks such as logging in and running SQL queries will be helpful. |
| aws network topology diagram: Intelligent Robotics and Applications Huayong Yang, Honghai Liu, Jun Zou, Zhouping Yin, Lianqing Liu, Geng Yang, Xiaoping Ouyang, Zhiyong Wang, 2023-10-12 The 9-volume set LNAI 14267-14275 constitutes the proceedings of the 16th International Conference on Intelligent Robotics and Applications, ICIRA 2023, which took place in Hangzhou, China, during July 5–7, 2023. The 413 papers included in these proceedings were carefully reviewed and selected from 630 submissions. They were organized in topical sections as follows: Part I: Human-Centric Technologies for Seamless Human-Robot Collaboration; Multimodal Collaborative Perception and Fusion; Intelligent Robot Perception in Unknown Environments; Vision-Based Human Robot Interaction and Application. Part II: Vision-Based Human Robot Interaction and Application; Reliable AI on Machine Human Reactions; Wearable Sensors and Robots; Wearable Robots for Assistance, Augmentation and Rehabilitation of Human Movements; Perception and Manipulation of Dexterous Hand for Humanoid Robot. Part III: Perception and Manipulation of Dexterous Hand for Humanoid Robot; Medical Imaging for Biomedical Robotics; Advanced Underwater Robot Technologies; Innovative Design and Performance Evaluation of Robot Mechanisms; Evaluation of Wearable Robots for Assistance and Rehabilitation; 3D Printing Soft Robots. Part IV: 3D Printing Soft Robots; Dielectric Elastomer Actuators for Soft Robotics; Human-like Locomotion and Manipulation; Pattern Recognition and Machine Learning for Smart Robots. Part V: Pattern Recognition and Machine Learning for Smart Robots; Robotic Tactile Sensation, Perception, and Applications; Advanced Sensing and Control Technology for Human-Robot Interaction; Knowledge-Based Robot Decision-Making and Manipulation; Design and Control of Legged Robots. Part VI: Design and Control of Legged Robots; Robots in Tunnelling and Underground Space; Robotic Machining of Complex Components; Clinically Oriented Design in Robotic Surgery and Rehabilitation; Visual and Visual-Tactile Perception for Robotics. Part VII: Visual and Visual-Tactile Perception for Robotics; Perception, Interaction, and Control of Wearable Robots; Marine Robotics and Applications; Multi-Robot Systems for Real World Applications; Physical and Neurological Human-Robot Interaction. Part VIII: Physical and Neurological Human-Robot Interaction; Advanced Motion Control Technologies for Mobile Robots; Intelligent Inspection Robotics; Robotics in Sustainable Manufacturing for Carbon Neutrality; Innovative Design and Performance Evaluation of Robot Mechanisms. Part IX: Innovative Design and Performance Evaluation of Robot Mechanisms; Cutting-Edge Research in Robotics. |
| aws network topology 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 network topology diagram: Ontology Alignment Using Biologically-inspired Optimisation Algorithms Jürgen Bock, 2014-07-31 It is investigated how biologically-inspired optimisation methods can be used to compute alignments between ontologies. Independent of particular similarity metrics, the developed techniques demonstrate anytime behaviour and high scalability. Due to the inherent parallelisability of these population-based algorithms it is possible to exploit dynamically scalable cloud infrastructures - a step towards the provisioning of Alignment-as-a-Service solutions for future semantic applications. |
| aws network topology diagram: Practical Salesforce Architecture Paul McCollum, 2023-10-05 Once renowned as a customer relationship management tool, Salesforce has evolved into a cloud-first application and capability ecosystem. With dedicated components for tasks such as middleware, big data, reporting, ETL, data loading, and API orchestration, Salesforce has become more prevalent in modern architectures. This concise yet comprehensive guide provides an overview of Salesforce architecture for enterprise architects and Salesforce ecosystem architects. Author Paul McCollum, Salesforce Technical Architect at Accenture, provides a roadmap for integrating major elements of the Salesforce ecosystem with planned or existing enterprise architecture. You'll learn how to use these components to address the diverse needs of different organizations. Many companies today are adding or building multicloud capabilities and incorporating various elements from the Salesforce ecosystem. With this book, you'll learn: Strengths, weaknesses, and growth areas of Salesforce's enterprise architecture domain features How Salesforce compares to other cloud providers Methods for using the Salesforce ecosystem effectively to address your organization's needs How to integrate Salesforce with planned or existing enterprise architectures Ways to manage and forecast performance, complexity, and ease of operation across the Salesforce platform |
| aws network topology diagram: Cassandra: The Definitive Guide Jeff Carpenter, Eben Hewitt, 2020-04-06 Imagine what you could do if scalability wasn't a problem. With this hands-on guide, you’ll learn how the Cassandra database management system handles hundreds of terabytes of data while remaining highly available across multiple data centers. This third edition—updated for Cassandra 4.0—provides the technical details and practical examples you need to put this database to work in a production environment. Authors Jeff Carpenter and Eben Hewitt demonstrate the advantages of Cassandra’s nonrelational design, with special attention to data modeling. If you’re a developer, DBA, or application architect looking to solve a database scaling issue or future-proof your application, this guide helps you harness Cassandra’s speed and flexibility. Understand Cassandra’s distributed and decentralized structure Use the Cassandra Query Language (CQL) and cqlsh—the CQL shell Create a working data model and compare it with an equivalent relational model Develop sample applications using client drivers for languages including Java, Python, and Node.js Explore cluster topology and learn how nodes exchange data |
| aws network topology diagram: Implementing Effective IT Governance and IT Management Gad Selig, 2015-02-01 This book is a revised edition of the best selling title Implementing IT Governance (ISBN 978 90 8753 119 5).For trainers free additional material of this book is available. This can be found under the Training Material tab. Log in with your trainer account to access the material. In all enterprises around the world, the issues, opportunities and challenges of aligning IT more closely with the organization and effectively governing an organization s IT investments, resources, major initiatives and superior uninterrupted service is becoming a major concern of the Board and executive management. An integrated and comprehensive approach to the alignment, planning, execution and governance of IT and its resources has become critical to more effectively align, integrate, invest, measure, deploy, service and sustain the strategic and tactical direction and value proposition of IT in support of organizations. Much has been written and documented about the individual components of IT Governance such as strategic planning, demand management, program and project management, IT service management, strategic sourcing and outsourcing, performance management, metrics, compliance and others. Much less has been written about a comprehensive and integrated approach for IT/Business Alignment, Planning, Execution and Governance. This title fills that need in the marketplace and offers readers structured and practical solutions using the best of the best practices available today. The book is divided into two parts, which cover the three critical pillars necessary to develop, execute and sustain a robust and effective IT governance environment:- Leadership, people, organization and strategy,- IT governance, its major component processes and enabling technologies. Each of the chapters also covers one or more of the following action oriented topics:- the why and what of IT: strategic planning, portfolio investment management, decision authority, etc.;- the how of IT: Program/Project Management, IT Service Management (including ITIL); Strategic Sourcing and outsourcing; performance, risk and contingency management (including COBIT, the Balanced Scorecard etc.) and leadership, team management and professional competences. |
| aws network topology diagram: Developing Blockchain Solutions in the Cloud Stefano Tempesta, Michael John Peña, 2024-04-26 Learn how to implement, deploy, and manage blockchain solutions across AWS, Azure, and GCP with the help of hands-on labs and real-world use cases Key Features Learn architecture design patterns and access code samples for building Web3 apps in the cloud Master the latest tools and cloud technologies for integrating DevOps in blockchain applications Strengthen your understanding of cloud-native blockchain through real-world use cases and best practices Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionAs Web3 technologies continue to gain momentum across industries, businesses are looking for new ways to leverage the benefits of Web3 and stay at the forefront of technological innovation. This comprehensive guide offers an in-depth exploration of cloud-native blockchain fundamentals, providing valuable insights into the benefits and challenges of deploying these technologies in the cloud. From foundational concepts to advanced techniques, the book covers everything you need to know about developing and deploying secure, scalable blockchain solutions on AWS, Azure, and GCP. Through hands-on tutorials and projects, you’ll explore the latest tools, technologies, real-world use cases, and best practices to expand your understanding of the field’s complexities and opportunities. This book ensures easy comprehension through practical examples and access to source code on GitHub. As you advance, you’ll master platform selection and apply your newfound knowledge to tackle complex problems and deliver innovative cloud-native blockchain solutions tailored for your specific needs. By the end of this book, you’ll have a deep understanding of cloud-native blockchain deployment and implementation, and you’ll be equipped with the skills and knowledge to build secure and scalable solutions.What you will learn Discover the benefits and challenges of deploying Web3 solutions in the cloud Deploy secure and scalable blockchain networks leveraging AWS, Azure, and GCP resources Follow step-by-step tutorials and code samples to build Web3 solutions in the cloud Use hosted Kubernetes platforms, such as EKS, AKS, and GKE, for custom blockchains Compare the blockchain capabilities and offerings of AWS, Azure, and Google Cloud Familiarize yourself with the tools and techniques for automating DevOps practices tailored to Web3 apps Who this book is for The book is for cloud developers and DevOps engineers who want to leverage blockchain technologies in their cloud-native solutions. Whether you’re an IT professional deploying and maintaining Web3 solutions in the enterprise or in public settings, or a business leader evaluating blockchain's potential, this resource is invaluable. Entrepreneurs, students, academics, and hobbyists exploring the latest Web3 development trends will also benefit from this book. Prior knowledge of cloud computing and blockchain concepts is recommended to make the best use of the expert insights, hands-on tutorials, and real-world use cases presented. |
| aws network topology diagram: Cassandra: The Definitive Guide, (Revised) Third Edition Jeff Carpenter, Eben Hewitt, 2022-01-24 Imagine what you could do if scalability wasn't a problem. With this hands-on guide, you'll learn how the Cassandra database management system handles hundreds of terabytes of data while remaining highly available across multiple data centers. This revised third edition--updated for Cassandra 4.0 and new developments in the Cassandra ecosystem, including deployments in Kubernetes with K8ssandra--provides technical details and practical examples to help you put this database to work in a production environment. Authors Jeff Carpenter and Eben Hewitt demonstrate the advantages of Cassandra's nonrelational design, with special attention to data modeling. Developers, DBAs, and application architects looking to solve a database scaling issue or future-proof an application will learn how to harness Cassandra's speed and flexibility. Understand Cassandra's distributed and decentralized structure Use the Cassandra Query Language (CQL) and cqlsh (the CQL shell) Create a working data model and compare it with an equivalent relational model Design and develop applications using client drivers Explore cluster topology and learn how nodes exchange data Maintain a high level of performance in your cluster Deploy Cassandra onsite, in the cloud, or with Docker and Kubernetes Integrate Cassandra with Spark, Kafka, Elasticsearch, Solr, and Lucene |
| aws network topology diagram: Cassandra: The Definitive Guide, (Revised) Third Edition Jeff Carpenter, Eben Hewitt, 2022-01-24 Imagine what you could do if scalability wasn't a problem. With this hands-on guide, you'll learn how the Cassandra database management system handles hundreds of terabytes of data while remaining highly available across multiple data centers. This revised third edition--updated for Cassandra 4.0 and new developments in the Cassandra ecosystem, including deployments in Kubernetes with K8ssandra--provides technical details and practical examples to help you put this database to work in a production environment. Authors Jeff Carpenter and Eben Hewitt demonstrate the advantages of Cassandra's nonrelational design, with special attention to data modeling. Developers, DBAs, and application architects looking to solve a database scaling issue or future-proof an application will learn how to harness Cassandra's speed and flexibility. Understand Cassandra's distributed and decentralized structure Use the Cassandra Query Language (CQL) and cqlsh (the CQL shell) Create a working data model and compare it with an equivalent relational model Design and develop applications using client drivers Explore cluster topology and learn how nodes exchange data Maintain a high level of performance in your cluster Deploy Cassandra onsite, in the cloud, or with Docker and Kubernetes Integrate Cassandra with Spark, Kafka, Elasticsearch, Solr, and Lucene |
| aws network topology diagram: Understanding Infrastructure Edge Computing Alex Marcham, 2021-04-21 UNDERSTANDING INFRASTRUCTURE EDGE COMPUTING A comprehensive review of the key emerging technologies that will directly impact areas of computer technology over the next five years Infrastructure edge computing is the model of data center and network infrastructure deployment which distributes a large number of physically small data centers around an area to deliver better performance and to enable new economical applications. It is vital for those operating at business or technical levels to be positioned to capitalize on the changes that will occur as a result of infrastructure edge computing. This book provides a thorough understanding of the growth of internet infrastructure from its inception to the emergence of infrastructure edge computing. Author Alex Marcham, an acknowledged leader in the field who coined the term ‘infrastructure edge computing,’ presents an accessible, accurate, and expansive view of the next generation of internet infrastructure. The book features illustrative examples of 5G mobile cellular networks, city-scale AI systems, self-driving cars, drones, industrial robots, and more—technologies that increase efficiency, save time and money, and improve safety. Covering state-of-the-art topics, this timely and authoritative book: Presents a clear and accurate survey of the key emerging technologies that will impact data centers, 5G networks, artificial intelligence and cyber-physical systems, and other areas of computer technology Explores how and why Internet infrastructure has evolved to where it stands today and where it needs to be in the near future Covers a wide range of topics including distributed application workload operation, infrastructure and application security, and related technologies such as multi-access edge computing (MEC) and fog computing Provides numerous use cases and examples of real-world applications which depend upon underlying edge infrastructure Written for Information Technology practitioners, computer technology practitioners, and students, Understanding Infrastructure Edge Computing is essential reading for those looking to benefit from the coming changes in computer technology. |
| aws network topology diagram: Intelligent Workloads at the Edge Indraneel Mitra, Ryan Burke, 2022-01-14 Explore IoT, data analytics, and machine learning to solve cyber-physical problems using the latest capabilities of managed services such as AWS IoT Greengrass and Amazon SageMaker Key FeaturesAccelerate your next edge-focused product development with the power of AWS IoT GreengrassDevelop proficiency in architecting resilient solutions for the edge with proven best practicesHarness the power of analytics and machine learning for solving cyber-physical problemsBook Description The Internet of Things (IoT) has transformed how people think about and interact with the world. The ubiquitous deployment of sensors around us makes it possible to study the world at any level of accuracy and enable data-driven decision-making anywhere. Data analytics and machine learning (ML) powered by elastic cloud computing have accelerated our ability to understand and analyze the huge amount of data generated by IoT. Now, edge computing has brought information technologies closer to the data source to lower latency and reduce costs. This book will teach you how to combine the technologies of edge computing, data analytics, and ML to deliver next-generation cyber-physical outcomes. You'll begin by discovering how to create software applications that run on edge devices with AWS IoT Greengrass. As you advance, you'll learn how to process and stream IoT data from the edge to the cloud and use it to train ML models using Amazon SageMaker. The book also shows you how to train these models and run them at the edge for optimized performance, cost savings, and data compliance. By the end of this IoT book, you'll be able to scope your own IoT workloads, bring the power of ML to the edge, and operate those workloads in a production setting. What you will learnBuild an end-to-end IoT solution from the edge to the cloudDesign and deploy multi-faceted intelligent solutions on the edgeProcess data at the edge through analytics and MLPackage and optimize models for the edge using Amazon SageMakerImplement MLOps and DevOps for operating an edge-based solutionOnboard and manage fleets of edge devices at scaleReview edge-based workloads against industry best practicesWho this book is for This book is for IoT architects and software engineers responsible for delivering analytical and machine learning–backed software solutions to the edge. AWS customers who want to learn and build IoT solutions will find this book useful. Intermediate-level experience with running Python software on Linux is required to make the most of this book. |
| aws network topology diagram: Software Architecture Patterns for Serverless Systems John Gilbert, 2024-02-27 Delve into the second edition to master serverless proficiency and explore new chapters on security techniques, multi-regional deployment, and optimizing observability. Key Features Gain insights from a seasoned CTO on best practices for designing enterprise-grade software systems Deepen your understanding of system reliability, maintainability, observability, and scalability with real-world examples Elevate your skills with software design patterns and architectural concepts, including securing in-depth and running in multiple regions Book DescriptionOrganizations undergoing digital transformation rely on IT professionals to design systems to keep up with the rate of change while maintaining stability. With this edition, enriched with more real-world examples, you’ll be perfectly equipped to architect the future for unparalleled innovation. This book guides through the architectural patterns that power enterprise-grade software systems while exploring key architectural elements (such as events-driven microservices, and micro frontends) and learning how to implement anti-fragile systems. First, you'll divide up a system and define boundaries so that your teams can work autonomously and accelerate innovation. You'll cover the low-level event and data patterns that support the entire architecture while getting up and running with the different autonomous service design patterns. This edition is tailored with several new topics on security, observability, and multi-regional deployment. It focuses on best practices for security, reliability, testability, observability, and performance. You'll be exploring the methodologies of continuous experimentation, deployment, and delivery before delving into some final thoughts on how to start making progress. By the end of this book, you'll be able to architect your own event-driven, serverless systems that are ready to adapt and change.What you will learn Explore architectural patterns to create anti-fragile systems Focus on DevSecOps practices that empower self-sufficient, full-stack teams Apply microservices principles to the frontend Discover how SOLID principles apply to software and database architecture Gain practical skills in deploying, securing, and optimizing serverless architectures Deploy a multi-regional system and explore the strangler pattern for migrating legacy systems Master techniques for collecting and utilizing metrics, including RUM, Synthetics, and Anomaly detection Who this book is for This book is for software architects who want to learn more about different software design patterns and best practices. This isn't a beginner's manual – you'll need an intermediate level of programming proficiency and software design experience to get started.You'll get the most out of this software design book if you already know the basics of the cloud, but it isn't a prerequisite. |
| aws network topology diagram: Cost Effective Analysis of Network Computers William Jameson Barr, 1972 |
| aws network topology diagram: Distributed Computing Network Reliability Suresh Rai, Dharma Prakash Agrawal, 1990 |
| aws network topology diagram: Cloud Security Handbook for Architects Ashish Mishra, 2023-04-18 A comprehensive guide to secure your future on Cloud KEY FEATURES ● Learn traditional security concepts in the cloud and compare data asset management with on-premises. ● Understand data asset management in the cloud and on-premises. ● Learn about adopting a DevSecOps strategy for scalability and flexibility of cloud infrastructure. ● Choose the right security solutions and design and implement native cloud controls. DESCRIPTION Cloud platforms face unique security issues and opportunities because of their evolving designs and API-driven automation. We will learn cloud-specific strategies for securing platforms such as AWS, Microsoft Azure, Google Cloud Platform, Oracle Cloud Infrastructure, and others. The book will help you implement data asset management, identity and access management, network security, vulnerability management, incident response, and compliance in your cloud environment. This book helps cybersecurity teams strengthen their security posture by mitigating cyber risk when targets shift to the cloud. The book will assist you in identifying security issues and show you how to achieve best-in-class cloud security. It also includes new cybersecurity best practices for daily, weekly, and monthly processes that you can combine with your other daily IT and security operations to meet NIST criteria. This book teaches how to leverage cloud computing by addressing the shared responsibility paradigm required to meet PCI-DSS, ISO 27001/2, and other standards. It will help you choose the right cloud security stack for your ecosystem. Moving forward, we will discuss the architecture and framework, building blocks of native cloud security controls, adoption of required security compliance, and the right culture to adopt this new paradigm shift in the ecosystem. Towards the end, we will talk about the maturity path of cloud security, along with recommendations and best practices relating to some real-life experiences. WHAT WILL YOU LEARN ● Understand the critical role of Identity and Access Management (IAM) in cloud environments. ● Address different types of security vulnerabilities in the cloud. ● Develop and apply effective incident response strategies for detecting, responding to, and recovering from security incidents. ● Establish a robust and secure security system by selecting appropriate security solutions for your cloud ecosystem. ● Ensure compliance with relevant regulations and requirements throughout your cloud journey. ● Explore container technologies and microservices design in the context of cloud security. WHO IS THIS BOOK FOR? The primary audience for this book will be the people who are directly or indirectly responsible for the cybersecurity and cloud security of the organization. This includes consultants, advisors, influencers, and those in decision-making roles who are focused on strengthening the cloud security of the organization. This book will also benefit the supporting staff, operations, and implementation teams as it will help them understand and enlighten the real picture of cloud security. The right audience includes but is not limited to Chief Information Officer (CIO), Chief Information Security Officer (CISO), Chief Technology Officer (CTO), Chief Risk Officer (CRO), Cloud Architect, Cloud Security Architect, and security practice team. TABLE OF CONTENTS SECTION I: Overview and Need to Transform to Cloud Landscape 1. Evolution of Cloud Computing and its Impact on Security 2. Understanding the Core Principles of Cloud Security and its Importance 3. Cloud Landscape Assessment and Choosing the Solution for Your Enterprise SECTION II: Building Blocks of Cloud Security Framework and Adoption Path 4. Cloud Security Architecture and Implementation Framework 5. Native Cloud Security Controls and Building Blocks 6. Examine Regulatory Compliance and Adoption path for Cloud 7. Creating and Enforcing Effective Security Policies SECTION III: Maturity Path 8. Leveraging Cloud-based Security Solutions for Security-as-a-Service 9. Cloud Security Recommendations and Best Practices |
| aws network topology diagram: Report James Douglas Miller, James T. Fitzgerald, Miloš Dragutin Ercegovac, Thomas A. Estelita, William Dean Bond, William J. Barr, Edward Steinberg Davidson, 1965 |
| aws network topology diagram: Defending APIs Colin Domoney, 2024-02-09 Get up to speed with API security using this comprehensive guide full of best practices for building safer and secure APIs Key Features Develop a profound understanding of the inner workings of APIs with a sharp focus on security Learn the tools and techniques employed by API security testers and hackers, establishing your own hacking laboratory Master the art of building robust APIs with shift-left and shield-right approaches, spanning the API lifecycle Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionAlong with the exponential growth of API adoption comes a rise in security concerns about their implementation and inherent vulnerabilities. For those seeking comprehensive insights into building, deploying, and managing APIs as the first line of cyber defense, this book offers invaluable guidance. Written by a seasoned DevSecOps expert, Defending APIs addresses the imperative task of API security with innovative approaches and techniques designed to combat API-specific safety challenges. The initial chapters are dedicated to API building blocks, hacking APIs by exploiting vulnerabilities, and case studies of recent breaches, while the subsequent sections of the book focus on building the skills necessary for securing APIs in real-world scenarios. Guided by clear step-by-step instructions, you’ll explore offensive techniques for testing vulnerabilities, attacking, and exploiting APIs. Transitioning to defensive techniques, the book equips you with effective methods to guard against common attacks. There are plenty of case studies peppered throughout the book to help you apply the techniques you’re learning in practice, complemented by in-depth insights and a wealth of best practices for building better APIs from the ground up. By the end of this book, you’ll have the expertise to develop secure APIs and test them against various cyber threats targeting APIs.What you will learn Explore the core elements of APIs and their collaborative role in API development Understand the OWASP API Security Top 10, dissecting the root causes of API vulnerabilities Obtain insights into high-profile API security breaches with practical examples and in-depth analysis Use API attacking techniques adversaries use to attack APIs to enhance your defensive strategies Employ shield-right security approaches such as API gateways and firewalls Defend against common API vulnerabilities across several frameworks and languages, such as .NET, Python, and Java Who this book is for This book is for application security engineers, blue teamers, and security professionals looking forward to building an application security program targeting API security. For red teamers and pentesters, it provides insights into exploiting API vulnerabilities. API developers will benefit understanding, anticipating, and defending against potential threats and attacks on their APIs. While basic knowledge of software and security is required to understand the attack vectors and defensive techniques explained in the book, a thorough understanding of API security is all you need to get started. |
| aws network topology diagram: Scientific and Technical Aerospace Reports , 1964 |
| aws network topology diagram: Hybrid Cloud for Architects Alok Shrivastwa, 2018-02-23 Build your own hybrid cloud strategy with this comprehensive learning guide. Key Features Build a hybrid cloud strategy for your organization with AWS and OpenStack Leverage Hybrid Cloud to design a complex deployment pipeline Learn to implement security and monitoring best practices with real-world examples Book Description Hybrid cloud is currently the buzz word in the cloud world. Organizations are planning to adopt hybrid cloud strategy due to its advantages such as untested workloads, cloud-bursting, cloud service brokering and so on. This book will help you understand the dynamics, design principles, and deployment strategies of a Hybrid Cloud. You will start by understanding the concepts of hybrid cloud and the problems it solves as compared to a stand-alone public and private cloud. You will be delving into the different architecture and design of hybrid cloud. The book will then cover advanced concepts such as building a deployment pipeline, containerization strategy, and data storage mechanism. Next up, you will be able to deploy an external CMP to run a Hybrid cloud and integrate it with your OpenStack and AWS environments. You will also understand the strategy for designing a Hybrid Cloud using containerization and work with pre-built solutions like vCloud Air, VMware for AWS, and Azure Stack. Finally, the book will cover security and monitoring related best practices that will help you secure your cloud infrastructure. By the end of the book, you will be in a position to build a hybrid cloud strategy for your organization. What you will learn Learn the demographics and definitions of Hybrid Cloud Understand the different architecture and design of Hybrid Cloud Explore multi-cloud strategy and use it with your hybrid cloud Implement a Hybrid Cloud using CMP / Common API’s Implement a Hybrid Cloud using Containers Overcome various challenges and issues while working with your Hybrid Cloud Understand how to monitor your Hybrid Cloud Discover the security implications in the Hybrid Cloud Who this book is for This book is targeted at cloud architects, cloud solution providers, DevOps engineers, or any working stakeholder who wants to learn about the hybrid cloud architecture. A basic understanding of public and private cloud is desirable. |
| aws network topology diagram: Oracle RMAN 11g Backup and Recovery Robert G. Freeman, Matthew Hart, 2010-05-06 Master Oracle Recovery Master Protect your databases from hardware, software, and operator failures using the detailed information in this Oracle Press guide. Oracle RMAN 11g Backup and Recovery explains how to configure databases, generate accurate archives, and carry out system restores. Work from the command line or Oracle Enterprise Manager, automate the backup process, perform Oracle Flashback recoveries, and integrate cloud computing technology. This authoritative resource also shows you how to create reports, optimize performance, and implement third-party administration utilities. Set up, configure, and maintain Oracle Recovery Manager (Oracle RMAN) Manage physical and virtual media with Oracle Secure Backup Work with Oracle RMAN catalogs, packages, and control files Use the Amazon Web Services cloud as an offsite storage solution Create online, offline, and incremental system backups Perform full and partial Oracle RMAN database restores Correct user-induced errors with Oracle Flashback Product clone and standby databases on local or remote servers Use Oracle Real Application Clusters and synch and split technology For a complete list of Oracle Press titles, visit www.OraclePressBooks.com |
| aws network topology diagram: Publications of the National Bureau of Standards ... Catalog United States. National Bureau of Standards, 1987 |
| aws network topology diagram: Engineering News-record , 1984 |
| aws network topology diagram: Publications of the National Institute of Standards and Technology ... Catalog National Institute of Standards and Technology (U.S.), 1988 |
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Cloud Computing Services - Amazon Web Services (AWS)
Amazon Q is the generative AI-powered assistant from AWS that helps you streamline processes, enhance decision making, and boost productivity. Amazon Q has many …
What is AWS? - Cloud Computing with AWS - Amazon Web Services
For over 17 years, AWS has been delivering cloud services to millions of customers around the world running a wide variety of use cases. AWS has the most operational …
Free Cloud Computing Services - AWS Free Tier
Gain hands-on experience with the AWS platform, products, and services for free with the AWS Free Tier offerings. Browse 100 offerings for AWS free tier services.
Getting Started - Cloud Computing Tutorials for Building on AWS
Learn the fundamentals and start building on AWS now · Get to Know the AWS Cloud · Launch Your First Application · Visit the technical resource centers.
