DevOps for Databases (eBook)

In 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.

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Implement, automate, build, operate, and optimize databases and other data-persistent technologies efficiently by leveraging the right set of DevOps best practicesKey FeaturesImplement core operational capabilities via automated pipelines, including testing and rollbacksCreate infrastructure, deploy software, test execution, and monitor operations using the as-code strategyAutomate common implementation patterns for databases with declarative orchestration frameworksPurchase of the print or Kindle book includes a free PDF eBookBook 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 learnApply DevOps best practices to data-persistent technologiesGet to grips with architectural-level design and implementationExplore the modern data journey and data modeling with database technologyMaster the operation of large-scale systems with zero-touch automationAchieve speed, resilience, security, and operability at different scalesDesign DevOps teams with end-to-end ownership modelsWho this book is forThis 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.]]>