Implement, automate, build, operate, and optimize databases and other data-persistent technologies efficiently by leveraging the right set of DevOps best practices Key Features Implement core operational capabilities via automated pipelines, including testing and rollbacks Create infrastructure, deploy software, test execution, and monitor operations using the as-code strategy Automate common implementation patterns for databases with declarative orchestration frameworks Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionIn today's rapidly evolving world of DevOps, traditional silos are a thing of the past. Database administrators are no longer the only experts; site reliability engineers (SREs) and DevOps engineers are database experts as well. This blurring of the lines has led to increased responsibilities, making members of high-performing DevOps teams responsible for end-to-end ownership. This book helps you master DevOps for databases, making it a must-have resource for achieving success in the ever-changing world of DevOps. You’ll begin by exploring real-world examples of DevOps implementation and its significance in modern data-persistent technologies, before progressing into the various types of database technologies and recognizing their strengths, weaknesses, and commonalities. As you advance, the chapters will teach you about design, implementation, testing, and operations using practical examples, as well as common design patterns, combining them with tooling, technology, and strategies for different types of data-persistent technologies. You’ll also learn how to create complex end-to-end implementation, deployment, and cloud infrastructure strategies defined as code. By the end of this book, you’ll be equipped with the knowledge and tools to design, build, and operate complex systems efficiently.What you will learn Apply DevOps best practices to data-persistent technologies Get to grips with architectural-level design and implementation Explore the modern data journey and data modeling with database technology Master the operation of large-scale systems with zero-touch automation Achieve speed, resilience, security, and operability at different scales Design DevOps teams with end-to-end ownership models Who this book is for This book is for newcomers as well as seasoned SREs, DevOps engineers, and system engineers who are interested in large-scale systems with a heavy focus on data-persistent technologies. Database administrators looking to level up in the world of DevOps will also find this book helpful. Experience with cloud Infrastructure, basic development, and operations will help you get the most out of this book.

The infrastructure-as-code revolution in IT is also affecting database administration. With this practical book, developers, system administrators, and junior to mid-level DBAs will learn how the modern practice of site reliability engineering applies to the craft of database architecture and operations. Authors Laine Campbell and Charity Majors provide a framework for professionals looking to join the ranks of today’s database reliability engineers (DBRE). You’ll begin by exploring core operational concepts that DBREs need to master. Then you’ll examine a wide range of database persistence options, including how to implement key technologies to provide resilient, scalable, and performant data storage and retrieval. With a firm foundation in database reliability engineering, you’ll be ready to dive into the architecture and operations of any modern database. This book covers: Service-level requirements and risk management Building and evolving an architecture for operational visibility Infrastructure engineering and infrastructure management How to facilitate the release management process Data storage, indexing, and replication Identifying datastore characteristics and best use cases Datastore architectural components and data-driven architectures

Learn how DBAs in a DevOps environment manage data platforms and change requests to support and optimize continuous integration, delivery, testing, and deployment in the application development life cycle. On the Dev side, DBAs evaluate change requests to ensure compliance with organizational best practices and guard against degradation of database performance and the validity of dependent objects. On the Ops side, DBAs perform release and troubleshooting activities in support of the application, manage the data platform’s access and security, and monitor and maintain performance of the databases that they have designed and provisioned. DevOps, DBAs, and DBaaS investigates the complex intersection between DBA functions and DevOps processes. DevOps teams traditionally viewed DBAs as process outliers who disrupt and retard SDLC timelines. At each touch point, veteran DBA Mike Cuppett shows how DBAs can most effectively contribute to decreasing release cycle times and improving product resiliency by applying automation, orchestration, and DBaaS solutions to database administration in ways that dovetail with DevOps requirements and metrics. At a high level, Cuppett demonstrates the importance of leveling silo walls in the IT supply chain and of measuring application performance holistically by reference to satisfaction of customer requirements and end-user experience. At a technical level, he drills into topics and case studies on diagnosing and resolving problems commonly encountered by DBAs and DevOps teams when meshing database management with application delivery. What You Will Learn: Understand techniques and best practices at all points of collaboration between DBAs and DevOps teams in product development Use tools for measuring DBA inputs to DevOps processes by using the holistic criteria of end-user experience and business requirement Integrate open source database technologies with DevOps Know when to decouple application and database layers and move to DBaaS models Overcome language and mindset barriers between DBAs and DevOps teams Who This Book Is For: DBAs who are leaning toward or already involved with DevOps and DevOps engineers, team leaders, developers and product managers who are already working with DBAs or planning to integrate DBAs in DevOps teams. The secondary readership is executives and managers in companies that practice DevOps.

Refactoring has proven its value in a wide range of development projects–helping software professionals improve system designs, maintainability, extensibility, and performance. Now, for the first time, leading agile methodologist Scott Ambler and renowned consultant Pramodkumar Sadalage introduce powerful refactoring techniques specifically designed for database systems. Ambler and Sadalage demonstrate how small changes to table structures, data, stored procedures, and triggers can significantly enhance virtually any database design–without changing semantics. You’ll learn how to evolve database schemas in step with source code–and become far more effective in projects relying on iterative, agile methodologies. This comprehensive guide and reference helps you overcome the practical obstacles to refactoring real-world databases by covering every fundamental concept underlying database refactoring. Using start-to-finish examples, the authors walk you through refactoring simple standalone database applications as well as sophisticated multi-application scenarios. You’ll master every task involved in refactoring database schemas, and discover best practices for deploying refactorings in even the most complex production environments. The second half of this book systematically covers five major categories of database refactorings. You’ll learn how to use refactoring to enhance database structure, data quality, and referential integrity; and how to refactor both architectures and methods. This book provides an extensive set of examples built with Oracle and Java and easily adaptable for other languages, such as C#, C++, or VB.NET, and other databases, such as DB2, SQL Server, MySQL, and Sybase. Using this book’s techniques and examples, you can reduce waste, rework, risk, and cost–and build database systems capable of evolving smoothly, far into the future.

Apply DevOps principles to your database workflow. Learn how to build an automated CI/CD release pipeline for SQL databases with Visual Studio Team Services and Azure.

If you work with SQL Server, dbatools is a lifesaver. This book will show you how to use this free and open source PowerShell module to automate just about every SQL server task you can imagine—all in just one month! In Learn dbatools in a Month of Lunches you will learn how to: Perform instance-to-instance and customized migrations Automate security audits, tempdb configuration, alerting, and reporting Schedule and monitor PowerShell tasks in SQL Server Agent Bulk-import any type of data into SQL Server Install dbatools in secure environments Written by a group of expert authors including dbatools creator Chrissy LeMaire, Learn dbatools in a Month of Lunches teaches you techniques that will make you more effective—and efficient—than you ever thought possible. In twenty-eight lunchbreak lessons, you’ll learn the most important use cases of dbatools and the favorite functions of its core developers. Stabilize and standardize your SQL server environment, and simplify your tasks by building automation, alerting, and reporting with this powerful tool. About the technology For SQL Server DBAs, automation is the key to efficiency. Using the open-source dbatools PowerShell module, you can easily execute tasks on thousands of database servers at once—all from the command line. dbatools gives you over 500 pre-built commands, with countless new options for managing SQL Server at scale. There’s nothing else like it. About the book Learn dbatools in a Month of Lunches teaches you how to automate SQL Server using the dbatools PowerShell module. Each 30-minute lesson introduces a new automation that will make your daily duties easier. Following the expert advice of dbatools creator Chrissy LeMaire and other top community contributors, you’ll learn to script everything from backups to disaster recovery. What's inside Performing instance-to-instance and customized migrations Automating security audits, best practices, and standardized configurations Administering SQL Server Agent including running PowerShell scripts effectively Bulk-importing many types of data into SQL Server Executing advanced tasks and increasing efficiency for everyday administration About the reader For DBAs, accidental DBAs, and systems engineers who manage SQL Server. About the author Chrissy LeMaire is a GitHub Star and the creator of dbatools. Rob Sewell is a data engineer and a passionate automator. Jess Pomfret and Cláudio Silva are data platform architects. All are Microsoft MVPs. Table of Contents 1 Before you begin 2 Installing dbatools 3 The dbatools lab 4 A gentle introduction to dbatools commands 5 Writing to SQL Server 6 Finding SQL Server instances on your network 7 Inventorying your SQL estate 8 Registered Servers 9 Logins and users 10 Backups 11 Restore 12 Snapshots 13 Install and update SQL Server 14 Preparing for disaster 15 Performing your first advanced SQL Server instance migration, part 1 16 Performing your first advanced SQL Server instance migration, part 2 17 High availability and disaster recovery 18 PowerShell and SQL Server Agent 19 SQL Server Agent administration 20 Creating and working with SQL Server Agent objects 21 Data masking 22 DevOps automation 23 Tracing SQL Server activity 24 Security and encryption 25 Data compression 26 Validating your estate with dbachecks 27 Working in the cloud 28 dbatools configurations and logging 29 Never the end