Cloud computing

Despite many uncertainties in cloud computing, one truth is evident: costs will always tend to go up unless youre actively engaged in the process. Whether youre new to managing cloud spend or a seasoned pro, this book will clarify the often misunderstood workings of cloud billing fundamentals and provide expert strategies on creating a culture of cloud cost management in your organization.Drawing on real-world examples of successes and failures of large-scale cloud spenders, this book outlines a road map for building a culture of FinOps in your organization. Beginning with the fundamental concepts required to understand cloud billing concepts, youll learn how to enable an efficient and effective FinOps machine.Learn how the cloud works when it comes to financial managementSet up a FinOps team and build a framework for making spend efficiency a priorityExamine the anatomy of a cloud bill and learn how to manage itGet operational recipes for maximizing cloud efficiencyUnderstand how to motivate engineering teams to take cost-saving actionsExplore the FinOps lifecycle: Inform, Optimize, and OperateLearn the DNA of a highly functional cloud FinOps culture

Know how to use the new capabilities and cloud integrations in SQL Server 2022. This book covers the many innovative integrations with the Azure Cloud that make SQL Server 2022 the most cloud-connected edition ever. The book covers cutting-edge features such as the blockchain-based Ledger for creating a tamper-evident record of changes to data over time that you can rely on to be correct and reliable. You'll learn about built-in Query Intelligence capabilities to help you to upgrade with confidence that your applications will perform at least as fast after the upgrade than before. In fact, you'll probably see an increase in performance from the upgrade, with no code changes needed. Also covered are innovations such as contained availability groups and data virtualization with S3 object storage.New cloud integrations covered in this book include Microsoft Azure Purview and the use of Azure SQL for high availability and disaster recovery. The book covers Azure Synapse Link with its built-in capabilities to take changes and put them into Synapse automatically.Anyone building their career around SQL Server will want this book for the valuable information it provides on building SQL skills from edge to the cloud. What You Will LearnKnow how to use all of the new capabilities and cloud integrations in SQL Server 2022Connect to Azure for disaster recovery, near real-time analytics, and securityLeverage the Ledger to create a tamper-evident record of data changes over timeUpgrade from prior releases and achieve faster and more consistent performance with no code changesAccess data and storage in different and new formats, such as Parquet and S3, without moving the data and using your existing T-SQL skillsExplore new application scenarios using innovations with T-SQL in areas such as JSON and time seriesWho This Book Is ForSQL Server professionals who want to upgrade their skills to the latest edition of SQL Server; those wishing to take advantage of new integrations with Microsoft Azure Purview (governance), Azure Synapse (analytics), and Azure SQL (HA and DR); and those in need of the increased performance and security offered by Query Intelligence and the new Ledger

This professional guide to Java-based cloud native apps DevOps dives deeper into building and deploying production ready cloud native apps using the increasingly popular open source Eclipse MicroProfile framework, Jakarta EE 10 APIs and the most popular Kubernetes container orchestration tool.After a quick overview of Jakarta EE and MicroProfile, Pro Cloud Native Java EE Apps starts you on your way by walking you through a cloud-native Jakarta EE-based application case study that will be forged piece-by-piece over the course of the book. Next, you'll interject dependencies and data persistence capabilities as microservices to go with the case study app that you are building.  Next, you'll employ the REST API using Jakarta REST APIs and the MicroProfile RESTClient. You'll also explore ways to add resilience to your app, keep count with metrics, check on your app's health, secure your app, and test and complete your production-ready cloud-native app.  Finally, you'll dive into migrating a monolith to become a production ready cloud-native app.  After reading this book, you'll be able to build your own production ready cloud-native Java app using Jakarta EE and MicroProfile. What You Will LearnBuild and deploy a production-ready cloud-native Java app using MicroProfile, Jakarta EE and KubernetesMigrate a monolith app to become a cloud-native appEmploy Jakarta EE APIs such as Persistence, CDI and moreLeverage the MicroProfile frameworkExplore configurations, resilience, metrics, health, security, and more for your cloud-native appsWho This Book Is ForThose software developers and programmers with at least some prior experience using Jakarta EE, MicroProfile. At least some prrior Java experience is expected.

Learn to use the Ansible open source IT automation tool to automate your VMware infrastructure. This book contains all of the obvious and not-so-obvious best practices of Ansible automation. Each lesson summarizes a specific use case for the modern VMware infrastructure and is focused on a single module from the most important parameter, including  live demo of code and real-life usage.You'll configure the Ansible Controller to interact with VMware infrastructure using the "e;community.VMware"e; Ansible documentation collection and the appropriate Python libraries. Next, learn how to automate the creation of a virtual machine manually and from a template, start and stop using the shutdown and forced-power off a Virtual Machine, take and delete and snapshot, add a new hard disk and expand a currently attached hard disk, as well as gather information for data centers, clusters, host systems, and virtual machines.By the end of this book, you'll be well-versed in efficiently maintaining a VMware infrastructure with Ansible Automation. You'll also be able to save time and reduce manual errors using simple human-readable automation technology.What You'll LearnAutomate your VMware infrastructure using Ansible codeInstall Ansible in operating systems such as RedHat, Ubuntu, Fedora, etc.Write and execute your first Ansible Playbook code Troubleshoot the most common error messagesWho This Book Is For  IT professionals of every industry who would like a jargon-free understanding of Ansible technology, including VMware, Linux, and Windows Systems Administrators, DevOps professionals, thought leaders, and infrastructure-as-code enthusiasts.

Apply best practices for deploying and administering HCL Workload automation (HWA) to meet the automation requirements of the digitally transformed platform. This book will provide detailed architecture and deployment options to achieve this goal.Workload automation focuses on real-time processing, predefined event-driven triggers, and situational dependencies. It offers centralized control of managing multiple tasks, making it possible to schedule enterprise-wide tasks. You'll see how it supports the timely completion of tasks and is beneficial for processes that need to happen at a specific time or need to occur as a result of another event. HWA increases efficiency, reduces the turnaround time for workflows, and reduces errors along with delays in end-to-end processes. You'll review proven ways to deliver batch optimization and modernization requirements, and see how solutions can be aligned with the DevSecOps delivery model. Workload Automation Using HWA presents information on how to use the tool and has numerous use cases and implementation procedures to guide every workload automation deployment requirement.  What You'll LearnAutomate and integrate your complex workload, workflow, and business processes across automation platforms, ERP systems, and business applicationsUnderstand event-driven batch automationPractice alignment of the workload automation solution with the DevSecOps principlesWho This Book Is ForSolution Architects, Infrastructure Architects, Technical Architects, Enterprise Architects, Workload Automation Tool Administrators or SME's, Schedulers, Application owners, Automation Specialists, Service Delivery Managers

This book takes developers on a journey into the cloud with Docker and Kubernetes. It walks you through the basics of Docker containers, how they are built, run, and published, and how the Kubernetes system allows you to use containers to better manage a cloud native application. Additionally, it walks you through various issues in cloud architecture, and how to design a cloud architecture that will work with your application and your team. The book takes a unique approach, getting you immersed in each subject with tutorials, then building up your technical knowledge, and finally backing up and thinking about more big-picture issues. Part one introduces Docker, building and working with Docker images, and covering best practices for Docker Containers. Part two covers the practicalities of "cloud native¿ and managing a Kubernetes application, including a full working example. The last part covers the design of cloud and microservice architectures, includingthe use of enterprise message queues, multi-site configurations and the common values that such architectures follow.This approach accelerates learning and keeps you moving forward without leaving you behind. The appendices also contain a wealth of worthwhile reference material for routine cloud application management.What You Will LearnUnderstand Docker and containerizationGain insight into what Kubernetes isMaster essential cloud architecture design principlesDesign and implement notes for building cloud architecturesWho This Book Is ForPrimarily developers who are moving to the cloud and want to get a sense of the environment they are getting into, and developers who want to move into a larger role of cloud architecture.

Gain insights into the different challenges that can be solved using Go, with a focus on containers, Linux, security, networking, user interfaces and other relevant cloud based topics. This book reviews the necessary tools to create container-based cloud solutions with Go, a programming language that was born out of the need to address scalable, high availability cloud computing architecture needs inside Google. Go, also known as Golang, has been adopted across different industries and products with many popular Open Source projects that power cloud computing technologies such as Docker and Kubernetes being written with Go. As the complexity of cloud technology increases, so does the need for people to understand how things work under-the-hood and to fix them when they¿re broken. What You Will LearnUnderstand how the various components of a container-based system worksTackle complex technical issues using GoIntegrate tools that can be used as part of your daily operational needsBuild system-based productsWho This Book Is For Developers and Engineers familiar with Go who want to know how different parts of the system work and who want to write command line tools. It will also be beneficial to programmers who already have a system-level understanding and want to use Go to build tools for existing projects and applications.

Learn the fundamentals of serverless applications and how to take advantage of time-tested Amazon Web Services (AWS) to build scalable apps. This book shows you how to work with the key features of your applications with minimum code, simple CLI commands and one-click deployments. You'll see how to manage authentication, standard UI components, database storage, filesystem, CI/CD pipeline and more. You'll also examine the architecture, strengths, scalability, and limitations of serverless, and how to use AWS Amplify effectively. You will use tools including React, Cognito, GraphQL, DynamoDB, Kinesis, and Sagemaker.AWS Amplify is the fastest and easiest way to build serverless web and mobile apps at scale, comprising tools and services that work independently and can be wired together to build scalable apps.You will:Build GraphQL and REST APIsModel data with Amplify DatastoresSet up a CI/CD pipeline with AmplifyRecord and make sense of user data analytics with KinesisBoost your application with AI/ML capability using Sagemaker

Know how to track changes and key events in your SQL Server databases in support of application troubleshooting, regulatory compliance, and governance. This book shows how to use key features in SQL Server ,such as SQL Server Audit and Extended Events, to track schema changes, permission changes, and changes to your data. You'll even learn how to track queries run against specific tables in a database. Not all changes and events can be captured and tracked using SQL Server Audit and Extended Events, and the book goes beyond those features to also show what can be captured using common criteria compliance, change data capture, temporal tables, or querying the SQL Server log. You will learn how to audit just what you need to audit, and how to audit pretty much anything that happens on a SQL Server instance. This book will also help you set up cloud auditing with an emphasis on Azure SQL Database, Azure SQL Managed Instance, and AWS RDS SQL Server. You don't need expensive, third-party auditing tools to make auditing work for you, and to demonstrate and provide value back to your business. This book will help you set up an auditing solution that works for you and your needs. It shows how to collect the audit data that you need, centralize that data for easy reporting, and generate audit reports using built-in SQL Server functionality for use by your own team, developers, and organization's auditors.  What You Will LearnUnderstand why auditing is important for troubleshooting, compliance, and governanceTrack changes and key events using SQL Server Audit and Extended EventsTrack SQL Server configuration changes for governance and troubleshootingUtilize change data capture and temporal tables to track data changes in SQL Server tablesCentralize auditing data from all your databases for easy querying and reportingConfigure auditing on Azure SQL, Azure SQL Managed Instance, and AWS RDS SQL Server Who This Book Is ForDatabase administrators who need to know what's changing on their database servers, and those who are making the changes; database-savvy DevOps engineers and developers who are charged with troubleshooting processes and applications; developers and administrators who are responsible for generating reports in support of regulatory compliance reporting and auditing

Gain a foundational understanding of SRE and learn its basic concepts and architectural best practices for deploying Azure IaaS, PaaS, and microservices-based resilient architectures.The book starts with the base concepts of SRE operations and developer needs, followed by definitions and acronyms of Service Level Agreements in real-world scenarios. Moving forward, you will learn how to build resilient IaaS solutions, PaaS solutions, and microservices architecture in Azure. Here you will go through Azure reference architecture for high-available storage, networking and virtual machine computing, describing Availability Sets and Zones and Scale Sets as main scenarios. You will explore similar reference architectures for Platform Services such as App Services with Web Apps, and work with data solutions like Azure SQL and Azure Cosmos DB. Next, you will learn automation to enable SRE with Azure DevOps Pipelines and GitHub Actions. Yoüll also gain an understanding of how an open culture around post-mortems dramatically helps in optimizing SRE and the overall company culture around managing and running IT systems and application workloads. Yoüll be exposed to incent management and monitoring practices, by making use of Azure Monitor/Log Analytics/Grafana, which forms the foundation of monitoring Azure and Hybrid-running workloads.As an extra, the book covers two new testing solutions: Azure Chaos Studio and Azure Load Testing. These solutions will make it easier to test the resilience of your services.After reading this book, you will understand the underlying concepts of SRE and its implementation using Azure public cloud.What Will You Learn:Learn SRE definitions and metrics like SLI/SLO/SLA, Error Budget, toil, MTTR, MTTF, and MTBFUnderstand Azure Well-Architected Framework (WAF) and Disaster Recovery scenarios on AzureUnderstand resiliency and how to design resilient solutions in Azure for different architecture types and servicesMaster core DevOps concepts and the difference between SRE and tools like Azure DevOps and GitHubUtilize Azure observability tools like Azure Monitor, Application Insights, KQL or GrafanaUnderstand Incident Response and Blameless Post-Mortems and how to improve collaboration using ChatOps practices with Microsoft toolsWho Is This Book For:IT operations administrators, engineers, security team members, as well as developers or DevOps engineers.

Build scalable ETL data pipelines in the cloud using Azure Data Factory's Mapping Data Flows. Each chapter of this book addresses different aspects of an end-to-end data pipeline that includes repeatable design patterns based on best practices using ADF's code-free data transformation design tools. The book shows data engineers how to take raw business data at cloud scale and turn that data into business value by organizing and transforming the data for use in data science projects and analytics systems. The book begins with an introduction to Azure Data Factory followed by an introduction to its Mapping Data Flows feature set. Subsequent chapters show how to build your first pipeline and corresponding data flow, implement common design patterns, and operationalize your result. By the end of the book, you will be able to apply what you've learned to your complex data integration and ETL projects in Azure. These projects will enable cloud-scale big analytics and data loading and transformation best practices for data warehouses.What You Will LearnBuild scalable ETL jobs in Azure without writing codeTransform big data for data quality and data modeling requirementsUnderstand the different aspects of Azure Data Factory ETL pipelines from datasets and Linked Services to Mapping Data FlowsApply best practices for designing and managing complex ETL data pipelines in Azure Data FactoryAdd cloud-based ETL patterns to your set of data engineering skillsBuild repeatable code-free ETL design patternsWho This Book Is ForData engineers who are new to building complex data transformation pipelines in the cloud with Azure; and  data engineers who need ETL solutions that scale to match swiftly growing volumes of data

Learn about the basics of cloud computing through the eyes of a little otter who, with the help of a clouded leopard, searches for an easier life in The Cloud. With hand-drawn imagery that was inspired by Winnie the Pooh, and gentle storytelling that is meant to be both playful and educational, readers of all ages will walk away with memorable explanations of key concepts, including: multi-cloud, public/private/hybrid clouds, fully-managed environments, elastic scalability, and more.

Acing the Certified Kubernetes Administrator Exam is a fun, friendly guide to preparing for the CKA. If you are familiar with Kubernetes, this book will ensure you are ready to pass in just one month of study. If you are brand new, this is the perfect primer to get you started on your Kubernetes journey. The book pulls back the curtain on Kubernetes, explaining its complexities and relating its components to tech you probably already know. You will quickly get a Kubernetes cluster up and running, learn about common REST methods through the lens of Kubernetes, and master load balancing and networking--all vital skills to master for the CKA exam. Each chapter is accompanied by carefully designed exercises that simulate working in the terminal, just like you will face in the CKA. By the time you've finished reading, you will be confident and ready for exam day. About the reader For readers who know the basics of containers and Linux admin. No Kubernetes experience is required.

Preparing for your SAP Extension Suite development associate exam? Make the grade with this certification study guide! From user interfaces to security, this guide will review the key technical knowledge you need to pass the test. Explore test methodology, key concepts for each topic area, and practice questions and answers. Your path to SAP Extension Suite certification begins here! Highlights include:1) Exam C_CPE_132) SAP S/4HANA3) SAP Extension Suite 4) SAP Integration Suite 5) SAP API Business Hub6) SAP Business Application Studio7) SAP Business Technology Platform (SAP BTP)8) SAP Fiori9) APIs10) Continuous integration and continuous delivery (CI/CD)11) Extensibility12) Security

The low cost of getting started with cloud services can easily evolve into a significant expense down the road. That's challenging for teams developing data pipelines, particularly when rapid changes in technology and workload require a constant cycle of redesign. How do you deliver scalable, highly available products while keeping costs in check? With this practical guide, author Sev Leonard provides a holistic approach to designing scalable data pipelines in the cloud. Intermediate data engineers, software developers, and architects will learn how to navigate cost/performance trade-offs and how to choose and configure compute and storage. You'll also pick up best practices for code development, testing, and monitoring. By focusing on the entire design process, you'll be able to deliver cost-effective, high-quality products. This book helps you: Reduce cloud spend with lower cost cloud service offerings and smart design strategies Minimize waste without sacrificing performance by rightsizing compute resources Drive pipeline evolution, head off performance issues, and quickly debug with effective monitoring Set up development and test environments that minimize cloud service dependencies Create data pipeline code bases that are testable and extensible, fostering rapid development and evolution Improve data quality and pipeline operation through validation and testing

If your organization plans to modernize services and move to the cloud from legacy software or a private cloud on premises, this book is for you. Software developers, solution architects, cloud engineers, and anybody interested in cloud technologies will learn fundamental concepts for cloud computing, migration, transformation, and development using Microsoft Azure. Author and Microsoft MVP Jonah Carrio Andersson guides you through cloud computing concepts and deployment models, the wide range of modern cloud technologies, application development with Azure, team collaboration services, security services, and cloud migration options in Microsoft Azure. You'll gain insight into the Microsoft Azure cloud services that you can apply in different business use cases, software development projects, and modern solutions in the cloud. You'll also become fluent with Azure cloud migration services, serverless computing technologies that help your development team work productively, Azure IoT, and Azure cognitive services that make your application smarter. This book also provides real-world advice and best practices based on the author's own Azure migration experience.

Kubernetes is an essential tool for anyone deploying and managing cloud-native applications. Kubernetes in Action, Second Edition is a fully-updated and comprehensive guide to developing and running applications in a Kubernetes environment. It lays out a complete introduction to container technologies and containerized applications along with practical tips for efficient deployment and operation. This revised edition of the bestselling original contains new coverage of the Kubernetes architecture, including the Kubernetes API, and a deep dive into managing a Kubernetes cluster in production.

The book establishes the concept of cloud manufacturing and describes the technological system behind it. The authors discuss key technologies such as resources sensation and access, service-oriented architecture, cloud service management and evaluation, and interface visualization. With abundant case studies, the book is an essential reference for researchers and engineers in manufacturing and information management.

Trust the best-selling Cert Guide series from Pearson IT Certification to help you learn, prepare, and practice for exam success. They are built with the objective of providing assessment, review, and practice to help ensure you are fully prepared for your certification exam.AWS Certified Solutions Architect - Associate (SAA-C03) Cert Guide presents you with an organized test preparation routine using proven series elements and techniques. Do I Know This Already? quizzes open each chapter and enable you to decide how much time you need to spend on each section. Exam topic lists make referencing easy. Chapter-ending Exam Preparation Tasks help you drill on key concepts you must know thoroughly.Master AWS Certified Solutions Architect - Associate (SAA-C03) exam topicsAssess your knowledge with chapter-opening quizzesReview key concepts with exam preparation tasksPractice with realistic exam questions in the practice test softwareAWS Certified Solutions Architect - Associate (SAA-C03) Cert Guide from Pearson IT Certification prepares you to succeed on the exam by directly addressing the exam's official objectives as stated by Amazon. Leading Cloud expert Mark Wilkins shares preparation hints and test-taking tips, helping you identify areas of weakness and improve both your conceptual knowledge and hands-on skills.This complete study package includesA test-preparation routine proven to help you pass the examsDo I Know This Already? quizzes, which enable you to decide how much time you need to spend on each sectionChapter-ending Key Topic tables, which help you drill on key concepts you must know thoroughlyThe powerful Pearson Test Prep Practice Test software, complete with hundreds of well-reviewed, exam-realistic questions, customization options, and detailed performance reportsAn online, interactive Flash Cards application to help you drill on Key Terms by chapterA final preparation chapter, which guides you through tools and resources to help you craft your review and test-taking strategiesStudy plan suggestions and templates to help you organize and optimize your study timeWell regarded for its level of detail, study plans, assessment features, and challenging review questions and exercises, this study guide helps you master all the topics on the AWS Certified Solutions Architect - Associate (SAA-C03) exam, includingSecure Architectures: Secure access to AWS resources, secure workloads and applications, data security controlsResilient Architectures: Scalable and loosely coupled architectures, highly available and fault-tolerant architecturesHigh-Performing Architectures: High-performing and scalable storage solutions; high-performing and elastic compute solutions; high-performing database solutions, scalable network architecture, data ingestion, and transformations solutionsCost-Optimized Architectures: Cost-optimized storage solutions, compute solutions, and database solutions; cost-effective network architectures

Google Anthos in Action comes directly from the Anthos team at Google. This comprehensive book takes a true DevOps mindset, considering Google-tested patterns for how an application is designed, built, deployed, managed, monitored, and scaled. In a cloud-centric world, all deployment is becoming hybrid deployment. Anthos is a modern, Kubernetes-based cloud platform that enables you to run your software in multi cloud, hybrid, or on-premises deployments using the same operations tools and approach. With powerful automation features, it boosts your efficiency along the whole development lifecycle. Google Anthos in Action demystifies Anthos with practical examples of Anthos at work and invaluable insights from the Google team that built it. Developers will love how having a consistent platform across clouds brings a massive performance boost by standardizing the application across deployment targets, as well as how Anthos makes it easy to modernize legacy applications to cloud native infrastructure. Operations pros will appreciate how simple it is to integrate Anthos with CI/CD pipelines, automate security and policy management, and work with enterprise-level Kubernetes. Each concept is fully illustrated with exercises and hands-on examples, so you can see the power of Anthos in action.

The software development ecosystem is constantly changing, providing a constant stream of new tools, frameworks, techniques, and paradigms. Over the past few years, incremental developments in core engineering practices for software development have created the foundations for rethinking how architecture changes over time, along with ways to protect important architectural characteristics as it evolves. This practical guide ties those parts together with a new way to think about architecture and time.

Why is Google Analytics 4 the most modern data model available for digital marketing analytics? Because rather than simply report what has happened, GA4's new cloud integrations enable more data activationlinking online and offline data across all your streams to provide end-to-end marketing data. This practical book prepares you for the future of digital marketing by demonstrating how GA4 supports these additional cloud integrations.Author Mark Edmondson, Google Developer Expert for Google Analytics and Google Cloud, provides a concise yet comprehensive overview of GA4 and its cloud integrations. Data, business, and marketing analysts will learn major facets of GA4's powerful new analytics model, with topics including data architecture and strategy, and data ingestion, storage, and modeling. You'll explore common data activation use cases and get guidance on how to implement them.You'll learn:How Google Cloud integrates with GA4The potential use cases that GA4 integrations can enableSkills and resources needed to create GA4 integrationsHow much GA4 data capture is necessary to enable use casesThe process of designing dataflows from strategy though data storage, modeling, and activation