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| gcp architecture diagram tool: 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. |
| gcp architecture diagram tool: Facilitating Software Architecture Andrew Harmel-Law, 2024-11-08 The software architect role is evolving. As systems and their interactions with the teams that build, run, and evolve them become more complex, it's often impossible for those playing the traditional architect roles to be everywhere they need to be. There's simply too much architecture to be done, and the situation has reached a breaking point. There's a better way. Author Andrew Harmel-Law shows you how architects and development teams can collaborate to create and evolve more efficient architectures for their systems. Techniques in this book will help you learn how to create a mindset that allows everyone to practice architecture and build the best systems they've ever experienced. With this book, you will: Understand the new dynamics that affect modern software delivery Learn a methodology that brings software architecture and development together Nurture the fundamental interplay of decisions, advice, architecture, and feedback from running systems Initiate practices that maximize benefits and mitigate risks Create an approach tuned to architecture, everyone's skills, and your organization's culture |
| gcp architecture diagram tool: 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. |
| gcp architecture diagram tool: Data Engineering with Google Cloud Platform Adi Wijaya, 2024-04-30 Become a successful data engineer by building and deploying your own data pipelines on Google Cloud, including making key architectural decisions Key Features Get up to speed with data governance on Google Cloud Learn how to use various Google Cloud products like Dataform, DLP, Dataplex, Dataproc Serverless, and Datastream Boost your confidence by getting Google Cloud data engineering certification guidance from real exam experiences Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionThe second edition of Data Engineering with Google Cloud builds upon the success of the first edition by offering enhanced clarity and depth to data professionals navigating the intricate landscape of data engineering. Beyond its foundational lessons, this new edition delves into the essential realm of data governance within Google Cloud, providing you with invaluable insights into managing and optimizing data resources effectively. Written by a Data Strategic Cloud Engineer at Google, this book helps you stay ahead of the curve by guiding you through the latest technological advancements in the Google Cloud ecosystem. You’ll cover essential aspects, from exploring Cloud Composer 2 to the evolution of Airflow 2.5. Additionally, you’ll explore how to work with cutting-edge tools like Dataform, DLP, Dataplex, Dataproc Serverless, and Datastream to perform data governance on datasets. By the end of this book, you'll be equipped to navigate the ever-evolving world of data engineering on Google Cloud, from foundational principles to cutting-edge practices.What you will learn Load data into BigQuery and materialize its output Focus on data pipeline orchestration using Cloud Composer Formulate Airflow jobs to orchestrate and automate a data warehouse Establish a Hadoop data lake, generate ephemeral clusters, and execute jobs on the Dataproc cluster Harness Pub/Sub for messaging and ingestion for event-driven systems Apply Dataflow to conduct ETL on streaming data Implement data governance services on Google Cloud Who this book is for Data analysts, IT practitioners, software engineers, or any data enthusiasts looking to have a successful data engineering career will find this book invaluable. Additionally, experienced data professionals who want to start using Google Cloud to build data platforms will get clear insights on how to navigate the path. Whether you're a beginner who wants to explore the fundamentals or a seasoned professional seeking to learn the latest data engineering concepts, this book is for you. |
| gcp architecture diagram tool: 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. |
| gcp architecture diagram tool: Cloud Native Development with Google Cloud Daniel Vaughan, 2023-11-10 Cloud native development gives you the power to rapidly build, secure, and scale software. But you still need to navigate many potential pitfalls along the way. Through practical examples, this book demonstrates how to use Google Cloud as a laboratory to enable rapid innovation, a factory to automate build and testing, and a citadel to operate applications at scale securely. Author Daniel Vaughan shows you how to take applications from prototype to production by combining Google Cloud services, a cloud native programming model, and best practices. By following an example project from start to finish, developers, architects, and engineering managers working with the Google Cloud Platform will learn how to build and run cloud native applications on Google Cloud with confidence. With this book, you will: Understand cloud native development concepts including microservices, containerization, and event-driven architecture Learn Google Cloud services that specifically support this development style: compute, persistence, messaging, DevOps, security and networking, and observability Confidently build cloud native applications on Google Cloud Learn how to address nonfunctional requirements such as security, observability, and testing Successfully make the transition from initial proofs of concept and prototypes to production systems |
| gcp architecture diagram tool: ICTR 2018 International Conference on Tourism Research Dr Minna Tunkkari-Eskelinen, JAMK University of Applied Science Jyväskylä, Finland, Dr Anne Törn-Laapio , JAMK University of Applied Science Jyväskylä, Finland, 2018-03-22 These proceedings represent the work of researchers participating in the International Conference on Tourism Research (ICTR 2018) which is being hosted by JAMK University of Applied Sciences, Jyväskylä, Finland on 23-24 March 2018. |
| gcp architecture diagram tool: Solutions Architect's Handbook Saurabh Shrivastava, Neelanjali Srivastav, 2024-03-29 From fundamentals and design patterns to the latest techniques such as generative AI, machine learning and cloud native architecture, gain all you need to be a pro Solutions Architect crafting secure and reliable AWS architecture. Key Features Hits all the key areas -Rajesh Sheth, VP, Elastic Block Store, AWS Offers the knowledge you need to succeed in the evolving landscape of tech architecture - Luis Lopez Soria, Senior Specialist Solutions Architect, Google A valuable resource for enterprise strategists looking to build resilient applications - Cher Simon, Principal Solutions Architect, AWS Book DescriptionMaster the art of solution architecture and excel as a Solutions Architect with the Solutions Architect's Handbook. Authored by seasoned AWS technology leaders Saurabh Shrivastav and Neelanjali Srivastav, this book goes beyond traditional certification guides, offering in-depth insights and advanced techniques to meet the specific needs and challenges of solutions architects today. This edition introduces exciting new features that keep you at the forefront of this evolving field. Large language models, generative AI, and innovations in deep learning are cutting-edge advancements shaping the future of technology. Topics such as cloud-native architecture, data engineering architecture, cloud optimization, mainframe modernization, and building cost-efficient and secure architectures remain important in today's landscape. This book provides coverage of these emerging and key technologies and walks you through solution architecture design from key principles, providing you with the knowledge you need to succeed as a Solutions Architect. It will also level up your soft skills, providing career-accelerating techniques to help you get ahead. Unlock the potential of cutting-edge technologies, gain practical insights from real-world scenarios, and enhance your solution architecture skills with the Solutions Architect's Handbook.What you will learn Explore various roles of a solutions architect in the enterprise Apply design principles for high-performance, cost-effective solutions Choose the best strategies to secure your architectures and boost availability Develop a DevOps and CloudOps mindset for collaboration, operational efficiency, and streamlined production Apply machine learning, data engineering, LLMs, and generative AI for improved security and performance Modernize legacy systems into cloud-native architectures with proven real-world strategies Master key solutions architect soft skills 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. 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 some awareness of cloud technology. |
| gcp architecture diagram tool: Effective .NET Memory Management Trevoir Williams, 2024-07-30 Master optimal memory management techniques in .NET Core, from understanding memory allocation to implementing advanced garbage collection strategies Key Features Discover tools and strategies to build efficient, scalable applications Implement .NET memory management techniques to effectively boost your application’s performance Uncover practical methods for troubleshooting memory leaks and diagnosing performance bottlenecks Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionIn today’s software development landscape, efficient memory management is crucial for ensuring application performance and scalability. Effective .NET Memory Management addresses this need by explaining the intricacies of memory utilization within .NET Core apps, from fundamental concepts to advanced optimization techniques. Starting with an overview of memory management basics, you’ll quickly go through .NET’s garbage collection system. You’ll grasp the mechanics of memory allocation and gain insights into the distinctions between stack and heap memory and the nuances of value types and reference types. Building on this foundation, this book will help you apply practical strategies to address real-world app demands, spanning profiling memory usage, spotting memory leaks, and diagnosing performance bottlenecks, through clear explanations and hands-on examples. This book goes beyond theory, detailing actionable techniques to optimize data structures, minimize memory fragmentation, and streamline memory access in scenarios involving multithreading and asynchronous programming for creating responsive and resource-efficient apps that can scale without sacrificing performance. By the end of this book, you’ll have gained the knowledge to write clean, efficient code that maximizes memory usage and boosts app performance.What you will learn Master memory allocation techniques to minimize resource wastage Differentiate between stack and heap memory, and use them efficiently Implement best practices for object lifetimes and garbage collection Understand .NET Core's memory management principles for optimal performance Identify and fix memory leaks to maintain application reliability Optimize memory usage in multithreaded and asynchronous applications Utilize memory profiling tools to pinpoint and resolve memory bottlenecks Apply advanced memory management techniques to enhance app scalability Who this book is for This book is for developers and professionals who are beyond the beginner stage and seek in-depth knowledge of memory management techniques within the context of .NET Core. Whether you are an experienced developer aiming to enhance application performance or an architect striving for optimal resource utilization, this book serves as a comprehensive guide to mastering memory management intricacies. To fully benefit from this book, you should have a solid understanding of C# programming and familiarity with the basics of .NET Core development. |
| gcp architecture diagram tool: Multi-Cloud Handbook for Developers Subash Natarajan, Jeveen Jacob, 2024-02-29 Explore proven techniques and best practices for designing, deploying, and managing cloud-native applications in multi-cloud environments with the help of real-world examples, success stories, and emerging technologies Key Features Discover optimal solutions in multi-cloud environments using AWS, Azure, and GCP tools and technologies Excel in designing, developing, and securing cloud-native apps with Docker, Kubernetes, and Istio Learn design patterns, cost optimization, best practices, and pitfalls to avoid in multi-cloud apps Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionUnleash the power of cloud computing with Multi-Cloud Handbook for Developers, your guide to mastering the nuances of cloud-native and multi-cloud, covering practical strategies for design, development, and management. Explore the essential concepts, challenges, and methodologies critical for navigating the complex landscape of modern cloud computing. Using core architectural and design principles (such as microservices and 12-factor architecture) and advanced strategies (such as distributed application design patterns, domain-driven design (DDD), and API-first strategies), you’ll learn how to build portable and efficient apps across various cloud platforms. You’ll understand how to leverage Infrastructure as Code (IaC), continuous integration and deployment (CI/CD), GitOps, and DevOps practices, along with containerization and orchestration techniques using Docker and Kubernetes. You’ll also get to grips with data, security, compliance, and cloud cost management strategies in multi-cloud environments. With real-world case studies, best practices, and insights into future trends, this book will equip you with the skills to develop, manage, troubleshoot, and innovate cloud-native applications across diverse cloud platforms, positioning you at the forefront of the cloud computing revolution.What you will learn Understand the core structures and implications of cloud-native and multi-cloud apps Explore key principles and patterns to build agile, scalable, and future-proof apps Master cloud-native essentials: service mesh, DDD, and API-centric approaches Implement deployment pipelines with advanced IaC, CI/CD, DevSecOps, and GitOps techniques Manage and monitor data, security, compliance, and identity access in multi-cloud scenarios Optimize your cloud costs with shift-left and FinOps practices Get ready for the future of cloud-native and multi-cloud technology Who this book is for Ideal for cloud-native and cloud developers, platform engineers, software architects, and IT professionals focused on building and managing cloud-native applications in multi-cloud environments, this book is an indispensable guide for students and researchers seeking insights into cloud-native concepts and multi-cloud architectures. A basic understanding of cloud computing, contemporary software development, system design, and cloud platforms such as AWS, Azure, and GCP, will prove useful. |
| gcp architecture diagram tool: Architecting Solutions with SAP Business Technology Platform Serdar Simsekler, Eric Du, 2022-10-28 A practical handbook packed with expert advice on architectural considerations for designing solutions using SAP BTP to drive digital innovation Purchase of the print or Kindle book includes a free eBook in the PDF format Key FeaturesGuide your customers with proven architectural strategies and considerations on SAP BTPTackle challenges in building process and data integration across complex and hybrid landscapesDiscover SAP BTP services, including visualizations, practical business scenarios, and moreBook Description SAP BTP is the foundation of SAP's intelligent and sustainable enterprise vision for its customers. It's efficient, agile, and an enabler of innovation. It's technically robust, yet its superpower is its business centricity. If you're involved in building IT and business strategies, it's essential to familiarize yourself with SAP BTP to see the big picture for digitalization with SAP solutions. Similarly, if you have design responsibilities for enterprise solutions, learning SAP BTP is crucial to produce effective and complete architecture designs. This book teaches you about SAP BTP in five parts. First, you'll see how SAP BTP is positioned in the intelligent enterprise. In the second part, you'll learn the foundational elements of SAP BTP and find out how it operates. The next part covers integration architecture guidelines, integration strategy considerations, and integration styles with SAP's integration technologies. Later, you'll learn how to use application development capabilities to extend enterprise solutions for innovation and agility. This part also includes digital experience and process automation capabilities. The last part covers how SAP BTP can facilitate data-to-value use cases to produce actionable business insights. By the end of this SAP book, you'll be able to architect solutions using SAP BTP to deliver high business value. What you will learnExplore value propositions and business processes enabled by SAP's Intelligent and Sustainable EnterpriseUnderstand SAP BTP's foundational elements, such as commercial and account modelsDiscover services that can be part of solution designs to fulfill non-functional requirementsGet to grips with integration and extensibility services for building robust solutionsUnderstand what SAP BTP offers for digital experience and process automationExplore data-to-value services that can help manage data and build analytics use casesWho this book is for This SAP guide is for technical architects, solutions architects, and enterprise architects working with SAP solutions to drive digital transformation and innovation with SAP BTP. Some IT background and an understanding of basic cloud concepts is assumed. Working knowledge of the SAP ecosystem will also be beneficial. |
| gcp architecture diagram tool: Architecting Cloud Native Applications Kamal Arora, Erik Farr, John Gilbert, Piyum Zonooz, 2019-04-16 Apply cloud native patterns and practices to deliver responsive, resilient, elastic, and message-driven systems with confidence Key FeaturesDiscover best practices for applying cloud native patterns to your cloud applicationsExplore ways to effectively plan resources and technology stacks for high security and fault toleranceGain insight into core architectural principles using real-world examplesBook 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. This Learning Path teaches you everything you need to know for designing industry-grade cloud applications and efficiently migrating your business to the cloud. It begins by exploring the basic patterns that turn your database inside out to achieve massive scalability. You’ll learn how to develop cloud native architectures using microservices and serverless computing as your design principles. Then, you’ll explore ways to continuously deliver production code by implementing continuous observability in production. In the concluding chapters, you’ll learn about various public cloud architectures ranging from AWS and Azure to the Google Cloud Platform, and understand the future trends and expectations of cloud providers. By the end of this Learning Path, you’ll have learned the techniques to adopt cloud native architectures that meet your business requirements. This Learning Path includes content from the following Packt products: Cloud Native Development Patterns and Best Practices by John GilbertCloud Native Architectures by Erik Farr et al.What you will learnUnderstand the difference between cloud native and traditional architectureAutomate security controls and configuration managementMinimize risk by evolving your monolithic systems into cloud native applicationsExplore the aspects of migration, when and why to use itApply modern delivery and testing methods to continuously deliver production codeEnable massive scaling by turning your database inside outWho this book is for This Learning Path is designed for developers who want to progress into building cloud native systems and are keen to learn the patterns involved. Software architects, who are keen on designing scalable and highly available cloud native applications, will also find this Learning Path very useful. To easily grasp these concepts, you will need basic knowledge of programming and cloud computing. |
| gcp architecture diagram tool: 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. |
| gcp architecture diagram tool: Terraform in Action Scott Winkler, 2021-08-24 An outstanding source of knowledge for Terraform enthusiasts of all levels. - Anton Babenko, Betajob Terraform in Action shows you how to automate and scale infrastructure programmatically using the Terraform toolkit. Summary In Terraform in Action you will learn: Cloud architecture with Terraform Terraform module sharing and the private module registry Terraform security in a multitenant environment Strategies for performing blue/green deployments Refactoring for code maintenance and reusability Running Terraform at scale Creating your own Terraform provider Using Terraform as a continuous development/continuous delivery platform Terraform in Action introduces the infrastructure-as-code (IaC) model that lets you instantaneously create new components and respond efficiently to changes in demand. You’ll use the Terraform automation tool to design and manage servers that can be provisioned, shared, changed, tested, and deployed with a single command. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the technology Provision, deploy, scale, and clone your entire stack to the cloud at the touch of a button. In Terraform, you create a collection of simple declarative scripts that define and manage application infrastructure. This powerful infrastructure-as-code approach automates key tasks like versioning and testing for everything from low-level networking to cloud services. About the book Terraform in Action shows you how to automate and scale infrastructure programmatically using the Terraform toolkit. Using practical, relevant examples, you’ll use Terraform to provision a Kubernetes cluster, deploy a multiplayer game, and configure other hands-on projects. As you progress to advanced techniques like zero-downtime deployments, you’ll discover how to think in Terraform rather than just copying and pasting scripts. What's inside Cloud architecture with Terraform Terraform module sharing and the private module registry Terraform security in a multitenant environment Strategies for performing blue/green deployments About the reader For readers experienced with a major cloud platform such as AWS. Examples in JavaScript and Golang. About the author Scott Winkler is a DevOps engineer and a distinguished Terraform expert. He has spoken multiple times at HashiTalks and HashiConf, and was selected as a HashiCorp Ambassador and Core Contributor in 2020. Table of Contents PART 1 TERRAFORM BOOTCAMP 1 Getting started with Terraform 2 Life cycle of a Terraform resource 3 Functional programming 4 Deploying a multi-tiered web application in AWS PART 2 TERRAFORM IN THE WILD 5 Serverless made easy 6 Terraform with friends 7 CI/CD pipelines as code 8 A multi-cloud MMORPG PART 3 MASTERING TERRAFORM 9 Zero-downtime deployments 10 Testing and refactoring 11 Extending Terraform by writing a custom provider 12 Automating Terraform 13 Security and secrets management |
| gcp architecture diagram tool: Becoming a Rockstar SRE Jeremy Proffitt, Rod Anami, 2023-04-28 Excel in site reliability engineering by learning from field-driven lessons on observability and reliability in code, architecture, process, systems management, costs, and people to minimize downtime and enhance developers' output Purchase of the print or Kindle book includes a free eBook in the PDF format Key Features Understand the goals of an SRE in terms of reliability, efficiency, and constant improvement Master highly resilient architecture in server, serverless, and containerized workloads Learn the why and when of employing Kubernetes, GitHub, Prometheus, Grafana, Terraform, Python, Argo CD, and GitOps Book Description Site reliability engineering is all about continuous improvement, finding the balance between business and product demands while working within technological limitations to drive higher revenue. But quantifying and understanding reliability, handling resources, and meeting developer requirements can sometimes be overwhelming. With a focus on reliability from an infrastructure and coding perspective, Becoming a Rockstar SRE brings forth the site reliability engineer (SRE) persona using real-world examples. This book will acquaint you the role of an SRE, followed by the why and how of site reliability engineering. It walks you through the jobs of an SRE, from the automation of CI/CD pipelines and reducing toil to reliability best practices. You'll learn what creates bad code and how to circumvent it with reliable design and patterns. The book also guides you through interacting and negotiating with businesses and vendors on various technical matters and exploring observability, outages, and why and how to craft an excellent runbook. Finally, you'll learn how to elevate your site reliability engineering career, including certifications and interview tips and questions. By the end of this book, you'll be able to identify and measure reliability, reduce downtime, troubleshoot outages, and enhance productivity to become a true rockstar SRE! What you will learn Get insights into the SRE role and its evolution, starting from Google's original vision Understand the key terms, such as golden signals, SLO, SLI, MTBF, MTTR, and MTTD Overcome the challenges in adopting site reliability engineering Employ reliable architecture and deployments with serverless, containerization, and release strategies Identify monitoring targets and determine observability strategy Reduce toil and leverage root cause analysis to enhance efficiency and reliability Realize how business decisions can impact quality and reliability Who this book is for This book is for IT professionals, including developers looking to advance into an SRE role, system administrators mastering technologies, and executives experiencing repeated downtime in their organizations. Anyone interested in bringing reliability and automation to their organization to drive down customer impact and revenue loss while increasing development throughput will find this book useful. A basic understanding of API and web architecture and some experience with cloud computing and services will assist with understanding the concepts covered. |
| gcp architecture diagram tool: Artificial Intelligence Systems and the Internet of Things in the Digital Era Abdalmuttaleb M.A Musleh Al-Sartawi, Anjum Razzaque, Muhammad Mustafa Kamal, 2021-05-28 This book brings together intelligence systems and the Internet of Things, with special attention given to the opportunities, challenges, for education, business growth, and economic progression of nations which will help societies (economists, financial managers, engineers, ICT specialists, digital managers, data managers, policymakers, regulators, researchers, academics, and students) to better understand, use, and control AI and IoT to develop future strategies and to achieve sustainability goals. EAMMIS 2021 was organized by the Bridges Foundation in cooperation with the Istanbul Medeniyet University, Istanbul, Turkey, on March 19–20, 2021. EAMMIS 2021 theme was Artificial Intelligence Systems and the Internet of Things in the digital era. The papers presented at the conference provide a holistic view of AI education, MIS, cybersecurity, blockchain, Internet of Ideas (IoI), and knowledge management. |
| gcp architecture diagram tool: Business Intelligence with Databricks SQL Vihag Gupta, 2022-09-16 Master critical skills needed to deploy and use Databricks SQL and elevate your BI from the warehouse to the lakehouse with confidence Key FeaturesLearn about business intelligence on the lakehouse with features and functions of Databricks SQLMake the most of Databricks SQL by getting to grips with the enablers of its data warehousing capabilitiesA unique approach to teaching concepts and techniques with follow-along scenarios on real datasetsBook Description In this new era of data platform system design, data lakes and data warehouses are giving way to the lakehouse – a new type of data platform system that aims to unify all data analytics into a single platform. Databricks, with its Databricks SQL product suite, is the hottest lakehouse platform out there, harnessing the power of Apache Spark™, Delta Lake, and other innovations to enable data warehousing capabilities on the lakehouse with data lake economics. This book is a comprehensive hands-on guide that helps you explore all the advanced features, use cases, and technology components of Databricks SQL. You'll start with the lakehouse architecture fundamentals and understand how Databricks SQL fits into it. The book then shows you how to use the platform, from exploring data, executing queries, building reports, and using dashboards through to learning the administrative aspects of the lakehouse – data security, governance, and management of the computational power of the lakehouse. You'll also delve into the core technology enablers of Databricks SQL – Delta Lake and Photon. Finally, you'll get hands-on with advanced SQL commands for ingesting data and maintaining the lakehouse. By the end of this book, you'll have mastered Databricks SQL and be able to deploy and deliver fast, scalable business intelligence on the lakehouse. What you will learnUnderstand how Databricks SQL fits into the Databricks Lakehouse PlatformPerform everyday analytics with Databricks SQL Workbench and business intelligence toolsOrganize and catalog your data assetsProgram the data security model to protect and govern your dataTune SQL warehouses (computing clusters) for optimal query experienceTune the Delta Lake storage format for maximum query performanceDeliver extreme performance with the Photon query execution engineImplement advanced data ingestion patterns with Databricks SQLWho this book is for This book is for business intelligence practitioners, data warehouse administrators, and data engineers who are new to Databrick SQL and want to learn how to deliver high-quality insights unhindered by the scale of data or infrastructure. This book is also for anyone looking to study the advanced technologies that power Databricks SQL. Basic knowledge of data warehouses, SQL-based analytics, and ETL processes is recommended to effectively learn the concepts introduced in this book and appreciate the innovation behind the platform. |
| gcp architecture diagram tool: 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. |
| gcp architecture diagram tool: Proceedings of the International Conference on Enterprise and Industrial Systems (ICOEINS 2023) Mahmud Dwi Sulistiyo, Ryan Adhitya Nugraha, 2024-01-28 This is an open access book. The 2023 INTERNATIONAL CONFERENCE ON ENTERPRISE AND INDUSTRIAL SYSTEMS (ICOEINS 2023) held in 4-5 October 2023 in Bali Indonesia and will be held in a hybrid format. The ICOEINS gather the researchers, inventors, academicians, and students to experience the real opportunity to discuss new issues, tackle complex problems and find advanced enabling solutions that able to shape new trends in Information System and Industrial Engineering. |
| gcp architecture diagram tool: International Aerospace Abstracts , 1999 |
| gcp architecture diagram tool: Documenting Software Architectures Paul Clements, Felix Bachmann, Len Bass, David Garlan, James Ivers, Reed Little, Paulo Merson, Robert Nord, Judith Stafford, 2010-10-05 Software architecture—the conceptual glue that holds every phase of a project together for its many stakeholders—is widely recognized as a critical element in modern software development. Practitioners have increasingly discovered that close attention to a software system’s architecture pays valuable dividends. Without an architecture that is appropriate for the problem being solved, a project will stumble along or, most likely, fail. Even with a superb architecture, if that architecture is not well understood or well communicated the project is unlikely to succeed. Documenting Software Architectures, Second Edition, provides the most complete and current guidance, independent of language or notation, on how to capture an architecture in a commonly understandable form. Drawing on their extensive experience, the authors first help you decide what information to document, and then, with guidelines and examples (in various notations, including UML), show you how to express an architecture so that others can successfully build, use, and maintain a system from it. The book features rules for sound documentation, the goals and strategies of documentation, architectural views and styles, documentation for software interfaces and software behavior, and templates for capturing and organizing information to generate a coherent package. New and improved in this second edition: Coverage of architectural styles such as service-oriented architectures, multi-tier architectures, and data models Guidance for documentation in an Agile development environment Deeper treatment of documentation of rationale, reflecting best industrial practices Improved templates, reflecting years of use and feedback, and more documentation layout options A new, comprehensive example (available online), featuring documentation of a Web-based service-oriented system Reference guides for three important architecture documentation languages: UML, AADL, and SySML |
Google Cloud Platform (GCP) - Sparx Systems
Google Cloud Platform (GCP) provides a suite of Cloud computing services, following their initial Google App offering. Alongside a set of … See more
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Databricks Data Intelligence Platform on GCP 23 Operat. DBs Batch & Streaming Storage tion 3rd party Business Apps Sources Ingest Transform Query / Process Serve Analyse Integrate …
TR-4653: NetApp Private Storage for Google Cloud Platform
The NetApp Private Storage for GCP solution combines computing resources from GCP with NetApp storage deployed at a GCP Dedicated Interconnect location. Connectivity from the …
Google Cloud Platform (GCP) - Sparx Systems
Using GCP diagrams you can model cloud architectures. You can add new elements to the diagram from the Imported GCP Icons, the GCP toolbox or existing elements dragged from the …
Google Cloud Platform (GCP) - Sparx Systems
Using GCP diagrams you can model cloud architectures. You can add new elements to the diagram from the Imported GCP Icons, the GCP toolbox or existing elements dragged from the …
Databricks Data Intelligence Platform
BI Tool AI Functions Delta Lake Catalog & Lineage ETL UniForm Feature Engineering Orchestration Lakehouse Federation External Orchestrator Workflows CI/CD tools DataOps …
Google Cloud Platform (GCP) - Sparx Systems
Oct 3, 2022 · Using GCP diagrams you can model cloud architectures. You can add new elements to the diagram from the Imported GCP Icons, the GCP toolbox or existing elements …
GCP Cloud Architecture Guide - Commvault
Review the Google Cloud Architecture Framework principles with guidance from Commvault and Commvault partner real-world experience. Select the Reference Architecture that meets your …
Gcp Architecture Diagram Tool - cdi.uandes
gcp architecture diagram tool: Facilitating Software Architecture Andrew Harmel-Law, 2024-11-08 The software architect role is evolving. As systems and their interactions with the teams that …
IBM z/OS Mainframe to Google Cloud Platform Reference …
Architecture and the Understanding Google Cloud sections. • Google Cloud Experts: Start with the Understanding IBM z/OS Mainframes section, followed by the Reference Architecture.
GCP Dataflow Architecture - Beam Summit
At a very high level: a user submits a processing pipeline to our managed service, which optimizes it and runs a pool of virtual machines (sometimes called workers) to do the work. …
Google Cloud Architecture Diagram Tool (2024) - mail.cirq.org
Google Cloud Architecture Diagram Tool Alasdair Gilchrist Google Cloud Platform an Architect's Guide Alasdair Gilchrist, Learn fundamental to advanced GCP architectural techniques using …
G o o g l e C l o u d P la tf o r m : H e a l t h c a r e S o l u t io ...
This playbook will provide GCP architecture and solutions examples for implementing g enomics and secondary analysis , patient monitoring , v ariant analysis , radiological image extraction , …
Architecting with Google Cloud Design and Process
• Apply a tool set of questions, techniques and design considerations • Define application requirements and express them objectively as KPIs, SLO's and SLI's • Decompose application …
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In this white paper, we will discuss the architecture of Rubrik Security Cloud, including infrastructure, encryption, where data is stored, and how the data is kept immutable and …
Reference architecture for Google Cloud and commercetools
commercetools and Google strongly recommend Google Cloud Platform (GCP) with its CI/CD tools, API management capabilities, frontends, extensions, etc. In this white paper, we would …
Google Cloud Platform (GCP) - Sparx Systems
Using GCP diagrams you can model cloud architectures. You can add new elements to the diagram from the Imported GCP Icons, the GCP toolbox or existing elements dragged from the …
02 Microservice Design and Architecture v2.0
Build loosely coupled services by implementing a well-designed REST architecture. Design consistent, standard RESTful service APIs. Specifically, you will learn about microservice …
Google Cloud Platform (GCP) - Sparx Systems
Using GCP diagrams you can model cloud architectures. You can add new elements to the diagram from the Imported GCP Icons, the GCP toolbox or existing elements dragged from the …
Security Reference Architectures for Public Clouds Using …
This white paper outlines use cases, architecture diagrams, and a Zero Trust approach that will allow organizations to build the best strategy for a public cloud data center. CloudGuard …
05 Google Cloud and Hybrid Network Architecture v2
In this module, we discuss Google Cloud network architectures, including hybrid architectures. Design VPC networks to optimize for cost, security, and performance. Configure global and …
Databricks Data Intelligence Platform on GCP
Databricks Data Intelligence Platform on GCP 23 Operat. DBs Batch & Streaming Storage tion 3rd party Business Apps Sources Ingest Transform Query / Process Serve Analyse Integrate …
TR-4653: NetApp Private Storage for Google Cloud Platform
The NetApp Private Storage for GCP solution combines computing resources from GCP with NetApp storage deployed at a GCP Dedicated Interconnect location. Connectivity from the …
Google Cloud Platform (GCP) - Sparx Systems
Using GCP diagrams you can model cloud architectures. You can add new elements to the diagram from the Imported GCP Icons, the GCP toolbox or existing elements dragged from the …
Google Cloud Platform (GCP) - Sparx Systems
Using GCP diagrams you can model cloud architectures. You can add new elements to the diagram from the Imported GCP Icons, the GCP toolbox or existing elements dragged from the …
Databricks Data Intelligence Platform
BI Tool AI Functions Delta Lake Catalog & Lineage ETL UniForm Feature Engineering Orchestration Lakehouse Federation External Orchestrator Workflows CI/CD tools DataOps …
