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Pipeline as Code: Continuous Delivery with Jenkins, Kubernetes, and Terraform
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ISBN10: 1617297542
ISBN13: 9781617297540
Publisher: Manning Publications
Published: Oct 26 2021
Pages: 528
Weight: 1.89
Height: 1.02 Width: 7.32 Depth: 9.13
Language: English
ISBN13: 9781617297540
Publisher: Manning Publications
Published: Oct 26 2021
Pages: 528
Weight: 1.89
Height: 1.02 Width: 7.32 Depth: 9.13
Language: English
Start thinking about your development pipeline as a mission-critical application. Discover techniques for implementing code-driven infrastructure and CI/CD workflows using Jenkins, Docker, Terraform, and cloud-native services. In Pipeline as Code, you will master: Building and deploying a Jenkins cluster from scratch
Writing pipeline as code for cloud-native applications
Automating the deployment of Dockerized and Serverless applications
Containerizing applications with Docker and Kubernetes
Deploying Jenkins on AWS, GCP and Azure
Managing, securing and monitoring a Jenkins cluster in production
Key principles for a successful DevOps culture Pipeline as Code is a practical guide to automating your development pipeline in a cloud-native, service-driven world. You'll use the latest infrastructure-as-code tools like Packer and Terraform to develop reliable CI/CD pipelines for numerous cloud-native applications. Follow this book's insightful best practices, and you'll soon be delivering software that's quicker to market, faster to deploy, and with less last-minute production bugs. About the technology
Treat your CI/CD pipeline like the real application it is. With the Pipeline as Code approach, you create a collection of scripts that replace the tedious web UI wrapped around most CI/CD systems. Code-driven pipelines are easy to use, modify, and maintain, and your entire CI pipeline becomes more efficient because you directly interact with core components like Jenkins, Terraform, and Docker. About the book
In Pipeline as Code you'll learn to build reliable CI/CD pipelines for cloud-native applications. With Jenkins as the backbone, you'll programmatically control all the pieces of your pipeline via modern APIs. Hands-on examples include building CI/CD workflows for distributed Kubernetes applications, and serverless functions. By the time you're finished, you'll be able to swap manual UI-based adjustments with a fully automated approach! What's inside Build and deploy a Jenkins cluster on scale
Write pipeline as code for cloud-native applications
Automate the deployment of Dockerized and serverless applications
Deploy Jenkins on AWS, GCP, and Azure
Grasp key principles of a successful DevOps culture About the reader
For developers familiar with Jenkins and Docker. Examples in Go. About the author
Mohamed Labouardy is the CTO and co-founder of Crew.work, a Jenkins contributor, and a DevSecOps evangelist. Table of Contents PART 1 GETTING STARTED WITH JENKINS
1 What's CI/CD?
2 Pipeline as code with Jenkins
PART 2 OPERATING A SELF-HEALING JENKINS CLUSTER
3 Defining Jenkins architecture
4 Baking machine images with Packer
5 Discovering Jenkins as code with Terraform
6 Deploying HA Jenkins on multiple cloud providers
PART 3 HANDS-ON CI/CD PIPELINES
7 Defining a pipeline as code for microservices
8 Running automated tests with Jenkins
9 Building Docker images within a CI pipeline
10 Cloud-native applications on Docker Swarm
11 Dockerized microservices on K8s
12 Lambda-based serverless functions
PART 4 MANAGING, SCALING, AND MONITORING JENKINS
13 Collecting continuous delivery metrics
14 Jenkins administration and best practices
Automating the deployment of Dockerized and Serverless applications
Containerizing applications with Docker and Kubernetes
Deploying Jenkins on AWS, GCP and Azure
Managing, securing and monitoring a Jenkins cluster in production
Key principles for a successful DevOps culture Pipeline as Code is a practical guide to automating your development pipeline in a cloud-native, service-driven world. You'll use the latest infrastructure-as-code tools like Packer and Terraform to develop reliable CI/CD pipelines for numerous cloud-native applications. Follow this book's insightful best practices, and you'll soon be delivering software that's quicker to market, faster to deploy, and with less last-minute production bugs. About the technology
Treat your CI/CD pipeline like the real application it is. With the Pipeline as Code approach, you create a collection of scripts that replace the tedious web UI wrapped around most CI/CD systems. Code-driven pipelines are easy to use, modify, and maintain, and your entire CI pipeline becomes more efficient because you directly interact with core components like Jenkins, Terraform, and Docker. About the book
In Pipeline as Code you'll learn to build reliable CI/CD pipelines for cloud-native applications. With Jenkins as the backbone, you'll programmatically control all the pieces of your pipeline via modern APIs. Hands-on examples include building CI/CD workflows for distributed Kubernetes applications, and serverless functions. By the time you're finished, you'll be able to swap manual UI-based adjustments with a fully automated approach! What's inside Build and deploy a Jenkins cluster on scale
Write pipeline as code for cloud-native applications
Automate the deployment of Dockerized and serverless applications
Deploy Jenkins on AWS, GCP, and Azure
Grasp key principles of a successful DevOps culture About the reader
For developers familiar with Jenkins and Docker. Examples in Go. About the author
Mohamed Labouardy is the CTO and co-founder of Crew.work, a Jenkins contributor, and a DevSecOps evangelist. Table of Contents PART 1 GETTING STARTED WITH JENKINS
1 What's CI/CD?
2 Pipeline as code with Jenkins
PART 2 OPERATING A SELF-HEALING JENKINS CLUSTER
3 Defining Jenkins architecture
4 Baking machine images with Packer
5 Discovering Jenkins as code with Terraform
6 Deploying HA Jenkins on multiple cloud providers
PART 3 HANDS-ON CI/CD PIPELINES
7 Defining a pipeline as code for microservices
8 Running automated tests with Jenkins
9 Building Docker images within a CI pipeline
10 Cloud-native applications on Docker Swarm
11 Dockerized microservices on K8s
12 Lambda-based serverless functions
PART 4 MANAGING, SCALING, AND MONITORING JENKINS
13 Collecting continuous delivery metrics
14 Jenkins administration and best practices
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