Pipeline as Code
- 9h 41m 3s
- Mohamed Labouardy
- Manning Publications
- 2021
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
- 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
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 audiobook:
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!
About the listener:
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.
PLEASE NOTE: When you purchase this title, the accompanying PDF will be available in your Audible Library along with the audio.In this Audiobook
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Chapter 1 - What’s CI/CD?
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Chapter 2 - Pipeline as code with Jenkins
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Chapter 3 - Defining Jenkins architecture
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Chapter 4 - Baking machine images with Packer
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Chapter 5 - Discovering Jenkins as code with Terraform
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Chapter 6 - Deploying HA Jenkins on multiple cloud providers
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Chapter 7 - Defining a pipeline as code for microservices
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Chapter 8 - Running automated tests with Jenkins
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Chapter 9 - Building Docker images within a CI pipeline
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Chapter 10 - Cloud-native applications on Docker Swarm
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Chapter 11 - Dockerized microservices on K8s
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Chapter 12 - Lambda-based serverless functions
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Chapter 13 - Collecting continuous delivery metrics
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Chapter 14 - Jenkins administration and best practices
