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Pipeline as code: continuous delivery with jenkins, kubernetes, and terraform, mohamed...

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Описание

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. \n \nIn Pipeline as Code, you will master: \n \nBuilding and
deploying a Jenkins cluster from scratch \nWriting pipeline as code for cloud-
native applications \nAutomating the deployment of Dockerized and Serverless
applications \nContainerizing applications with Docker and Kubernetes
\nDeploying Jenkins on AWS, GCP and Azure \nManaging, securing and monitoring
a Jenkins cluster in production \nKey principles for a successful DevOps
culture \n \nPipeline 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. \n \nAbout the technology \nTreat 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. \n \nAbout
the book \nIn 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! \n
\nWhat's inside \n \nBuild and deploy a Jenkins cluster on scale \nWrite
pipeline as code for cloud-native applications \nAutomate the deployment of
Dockerized and serverless applications \nDeploy Jenkins on AWS, GCP, and Azure
\nGrasp key principles of a successful DevOps culture \n \nAbout the reader
\nFor developers familiar with Jenkins and Docker. Examples in Go. \n \nAbout
the author \nMohamed Labouardy is the CTO and co-founder of Crew.work, a
Jenkins contributor, and a DevSecOps evangelist. \n \nTable of Contents \n
\nPART 1 GETTING STARTED WITH JENKINS \n1 What’s CI/CD? \n2 Pipeline as code
with Jenkins \nPART 2 OPERATING A SELF-HEALING JENKINS CLUSTER \n3 Defining
Jenkins architecture \n4 Baking machine images with Packer \n5 Discovering
Jenkins as code with Terraform \n6 Deploying HA Jenkins on multiple cloud
providers \nPART 3 HANDS-ON CI/CD PIPELINES \n7 Defining a pipeline as code
for microservices \n8 Running automated tests with Jenkins \n9 Building Docker
images within a CI pipeline \n10 Cloud-native applications on Docker Swarm
\n11 Dockerized microservices on K8s \n12 Lambda-based serverless functions
\nPART 4 MANAGING, SCALING, AND MONITORING JENKINS \n13 Collecting continuous
delivery metrics \n14 Jenkins administration and best practices

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