Hashicorp Packer In Production

Set up automated workflows to keep systems and applications consistent globally, regardless of architecture, cloud, or container runtime Purchase of the print or Kindle book includes a free PDF eBook Key Features Automate building and modifying complex software images across multiple OSs and container engines Minimize cost by keeping your systems ready across multiple architectures, including ARM and future RISC-V processors Speed up your time to market by building and testing apps using upstream and future releases Book Description Creating machine images can be time-consuming and error-prone when done manually. HashiCorp Packer enables you to automate this process by defining the configuration in a simple, declarative syntax. This configuration is then used to create machine images for multiple environments and cloud providers. The book begins by showing you how to create your first manifest while helping you understand the available components. You'll then configure the most common built-in builder options for Packer and use runtime provisioners to reconfigure a source image for desired tasks. You'll also learn how to control logging for troubleshooting errors in complex builds and explore monitoring options for multiple logs at once. As you advance, you'll build on your initial manifest for a local application that'll easily migrate to another builder or cloud. The chapters also help you get to grips with basic container image options in different formats while scaling large builds in production. Finally, you'll develop a life cycle and retention policy for images, automate packer builds, and protect your production environment from nefarious plugins. By the end of this book, you'll be equipped to smoothen collaboration and reduce the risk of errors by creating machine images consistently and automatically based on your defined configuration. What you will learn Build and maintain consistent system images across multiple platforms Create machine images that can be used in multiple environments Write a spec for a local Packer virtual machine in JSON and HCL Build a container image with Packer in different formats Automate Packer with continuous delivery pipelines Discover how to customize Packer by writing plugins Who this book is for This book is for DevOps engineers, Cloud engineers, and teams responsible for maintaining platform and application images for enterprise private, hybrid, or multi-cloud environments. Familiarity with operating systems and virtualization concepts, with or without using a cloud provider, is a prerequisite.

Set up automated workflows to keep systems and applications consistent globally, regardless of architecture, cloud, or container runtime Purchase of the print or Kindle book includes a free PDF eBook Key Features: Automate building and modifying complex software images across multiple OSs and container engines Minimize cost by keeping your systems ready across multiple architectures, including ARM and future RISC-V processors Speed up your time to market by building and testing apps using upstream and future releases Book Description: Creating machine images can be time-consuming and error-prone when done manually. HashiCorp Packer enables you to automate this process by defining the configuration in a simple, declarative syntax. This configuration is then used to create machine images for multiple environments and cloud providers. The book begins by showing you how to create your first manifest while helping you understand the available components. You'll then configure the most common built-in builder options for Packer and use runtime provisioners to reconfigure a source image for desired tasks. You'll also learn how to control logging for troubleshooting errors in complex builds and explore monitoring options for multiple logs at once. As you advance, you'll build on your initial manifest for a local application that'll easily migrate to another builder or cloud. The chapters also help you get to grips with basic container image options in different formats while scaling large builds in production. Finally, you'll develop a life cycle and retention policy for images, automate packer builds, and protect your production environment from nefarious plugins. By the end of this book, you'll be equipped to smoothen collaboration and reduce the risk of errors by creating machine images consistently and automatically based on your defined configuration. What You Will Learn: Build and maintain consistent system images across multiple platforms Create machine images that can be used in multiple environments Write a spec for a local Packer virtual machine in JSON and HCL Build a container image with Packer in different formats Automate Packer with continuous delivery pipelines Discover how to customize Packer by writing plugins Who this book is for: This book is for DevOps engineers, Cloud engineers, and teams responsible for maintaining platform and application images for enterprise private, hybrid, or multi-cloud environments. Familiarity with operating systems and virtualization concepts, with or without using a cloud provider, is a prerequisite.

Continuous delivery adds enormous value to the business and the entire software delivery lifecycle, but adopting this practice means mastering new skills typically outside of a developer’s comfort zone. In this practical book, Daniel Bryant and Abraham Marín-Pérez provide guidance to help experienced Java developers master skills such as architectural design, automated quality assurance, and application packaging and deployment on a variety of platforms. Not only will you learn how to create a comprehensive build pipeline for continually delivering effective software, but you’ll also explore how Java application architecture and deployment platforms have affected the way we rapidly and safely deliver new software to production environments. Get advice for beginning or completing your migration to continuous delivery Design architecture to enable the continuous delivery of Java applications Build application artifacts including fat JARs, virtual machine images, and operating system container (Docker) images Use continuous integration tooling like Jenkins, PMD, and find-sec-bugs to automate code quality checks Create a comprehensive build pipeline and design software to separate the deploy and release processes Explore why functional and system quality attribute testing is vital from development to delivery Learn how to effectively build and test applications locally and observe your system while it runs in production

Introductory book designed for SysAdmins, Operations staff, Developers and DevOps who are interested in building images using the open source tool Packer.

Kubernetes has become the dominant container orchestrator, but many organizations that have recently adopted this system are still struggling to run actual production workloads. In this practical book, four software engineers from VMware bring their shared experiences running Kubernetes in production and provide insight on key challenges and best practices. The brilliance of Kubernetes is how configurable and extensible the system is, from pluggable runtimes to storage integrations. For platform engineers, software developers, infosec, network engineers, storage engineers, and others, this book examines how the path to success with Kubernetes involves a variety of technology, pattern, and abstraction considerations. With this book, you will: Understand what the path to production looks like when using Kubernetes Examine where gaps exist in your current Kubernetes strategy Learn Kubernetes's essential building blocks--and their trade-offs Understand what's involved in making Kubernetes a viable location for applications Learn better ways to navigate the cloud native landscape

Docker is rapidly changing the way organizations deploy software at scale. However, understanding how Linux containers fit into your workflow—and getting the integration details right—is not a trivial task. With the updated edition of this practical guide, you’ll learn how to use Docker to package your applications with all of their dependencies and then test, ship, scale, and support your containers in production. This edition includes significant updates to the examples and explanations that reflect the substantial changes that have occurred over the past couple of years. Sean Kane and Karl Matthias have added a complete chapter on Docker Compose, deeper coverage of Docker Swarm mode, introductions to both Kubernetes and AWS Fargate, examples on how to optimize your Docker images, and much more. Learn how Docker simplifies dependency management and deployment workflow for your applications Start working with Docker images, containers, and command line tools Use practical techniques to deploy and test Docker containers in production Debug containers by understanding their composition and internal processes Deploy production containers at scale inside your data center or cloud environment Explore advanced Docker topics, including deployment tools, networking, orchestration, security, and configuration

Flexibility and security. Two characteristics that cannot be compromised in the age of multi-cloud and DevOps, yet most secrets management tools were designed around the idea that both cannot be achieved together. Enter HashiCorp Vault, built around the philosophy that securing secrets is more effective when the interaction of a secrets management service aligns with other DevOps tools available today. Vault has quickly become the de-facto solution in secrets management over recent years, finding its way into many Global 2000 companies. This book will cover multiple aspects of Vault, from planning the service, architectural design, and deployment of Vault, to managing the service once it is up and running. With a combined 40 years of experience working in technology and more than three years working specifically with Vault, Bryan and Dan walk users through the process of designing and building a production-ready Vault service.