Pipeline as Code: Continuous Delivery with Jenkins, Kubernetes, and Terraform

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Pipeline as Code - Continuous Delivery with Jenkins, Kubernetes, and Terraform - video edition [TutsNode.com] - Pipeline as Code
  • 58-Chapter 12 Maintaining multiple Lambda environments.mp4 (70.0 MB)
  • 19-Chapter 4 Discovering Jenkins plugins.mp4 (69.3 MB)
  • 38-Chapter 8 Improving quality with code analysis.mp4 (68.5 MB)
  • 35-Chapter 7 Configuring SSH authentication with Jenkins.mp4 (67.9 MB)
  • 07-Chapter 2 Pipeline as code with Jenkins.mp4 (67.4 MB)
  • 06-Chapter 1 Using essential CI_CD tools.mp4 (65.7 MB)
  • 41-Chapter 9 Deploying a Docker private registry.mp4 (63.6 MB)
  • 54-Chapter 11 Discovering Jenkins X.mp4 (63.1 MB)
  • 55-Chapter 12 Lambda-based serverless functions.mp4 (62.8 MB)
  • 03-Chapter 1 Microservices.mp4 (61.9 MB)
  • 12-Chapter 3 Defining Jenkins architecture.mp4 (61.0 MB)
  • 27-Chapter 6 Configuring a GCP network with Terraform.mp4 (60.8 MB)
  • 16-Chapter 4 Baking machine images with Packer.mp4 (60.1 MB)
  • 51-Chapter 11 Automating continuous deployment flow with Jenkins.mp4 (59.3 MB)
  • 39-Chapter 8 Integrating SonarQube Scanner with Jenkins.mp4 (59.2 MB)
  • 05-Chapter 1 Defining continuous integration.mp4 (59.1 MB)
  • 17-Chapter 4 Baking a machine image.mp4 (58.4 MB)
  • 42-Chapter 9 Tagging Docker images the right way.mp4 (57.4 MB)
  • 08-Chapter 2 Blue Ocean plugin.mp4 (57.2 MB)
  • 26-Chapter 6 Deploying HA Jenkins on multiple cloud providers.mp4 (56.8 MB)
  • 04-Chapter 1 Cloud native.mp4 (56.5 MB)
  • 32-Chapter 7 Defining a pipeline as code for microservices.mp4 (56.4 MB)
  • 40-Chapter 9 Building Docker images within a CI pipeline.mp4 (56.2 MB)
  • 52-Chapter 11 Migrating Docker Compose to K8s manifests with Kompose.mp4 (55.8 MB)
  • 23-Chapter 5 Setting up a self-healing Jenkins master.mp4 (55.8 MB)
  • 63-Chapter 13 Streaming logs with Filebeat.mp4 (54.8 MB)
  • 14-Chapter 3 Architecting Jenkins for scale in AWS, part 2.mp4 (54.0 MB)
  • 33-Chapter 7 Defining multibranch pipeline jobs.mp4 (53.5 MB)
  • 60-Chapter 13 Collecting continuous delivery metrics.mp4 (53.2 MB)
  • 37-Chapter 8 Automating code linter integration with Jenkins.mp4 (53.2 MB)
  • 15-Chapter 3 Preparing the AWS environment.mp4 (51.7 MB)
  • 22-Chapter 5 VPC subnets.mp4 (51.5 MB)
  • 65-Chapter 14 Configuring GitHub OAuth for Jenkins.mp4 (51.1 MB)
  • 13-Chapter 3 Architecting Jenkins for scale in AWS, part 1.mp4 (50.8 MB)
  • 30-Chapter 6 DigitalOcean.mp4 (50.2 MB)
  • 56-Chapter 12 Creating deployment packages.mp4 (48.5 MB)
  • 53-Chapter 11 Packaging Kubernetes applications with Helm.mp4 (48.2 MB)
  • 28-Chapter 6 Microsoft Azure.mp4 (47.9 MB)
  • 43-Chapter 9 Writing a Jenkins declarative pipeline.mp4 (47.2 MB)
  • 61-Chapter 13 Monitoring Jenkins cluster health.mp4 (46.2 MB)
  • 36-Chapter 8 Running automated tests with Jenkins.mp4 (44.6 MB)
  • 48-Chapter 10 Integrating Jenkins with Slack notifications.mp4 (44.0 MB)
  • 09-Chapter 2 Understanding multibranch pipelines.mp4 (43.7 MB)
  • 64-Chapter 14 Jenkins administration and best practices.mp4 (43.0 MB)
  • 34-Chapter 7 Git and GitHub integration.mp4 (42.7 MB)
  • 29-Chapter 6 Deploying a Jenkins master virtual machine.mp4 (42.0 MB)
  • 67-Chapter 14 Running Jenkins locally as a Docker container.mp4 (42.0 MB)
  • 10-Chapter 2 Test-driven development with Jenkins.mp4 (41.7 MB)
  • 66-Chapter 14 Backing up and restoring Jenkins.mp4 (41.0 MB)
  • 62-Chapter 13 Centralized logging for Jenkins logs with ELK.mp4 (41.0 MB)
  • 21-Chapter 5 Provisioning an AWS VPC.mp4 (40.6 MB)
  • 44-Chapter 10 Cloud-native applications on Docker Swarm.mp4 (39.9 MB)
  • 49-Chapter 10 Implementing the Jenkins delivery pipeline.mp4 (39.7 MB)
  • 50-Chapter 11 Dockerized microservices on K8s.mp4 (39.6 MB)
  • 46-Chapter 10 Defining a continuous deployment process, part 1.mp4 (38.3 MB)
  • 02-Chapter 1 What’s CI_CD.mp4 (38.3 MB)
  • 24-Chapter 5 Dynamically autoscaling the Jenkins worker pool.mp4 (37.3 MB)
  • 47-Chapter 10 Defining a continuous deployment process, part 2.mp4 (36.8 MB)
  • 57-Chapter 12 Updating Lambda function code.mp4 (36.3 MB)
  • 25-Chapter 5 Autoscaling scaling policies.mp4 (35.4 MB)
  • 18-Chapter 4 Baking the Jenkins master AMI.mp4 (32.5 MB)
  • 20-Chapter 5 Discovering Jenkins as code with Terraform.mp4 (30.9 MB)
  • 45-Chapter 10 Running a distributed Docker Swarm cluster.mp4 (29.7 MB)
  • 59-Part 4. Managing, scaling, and monitoring Jenkins.mp4 (5.3 MB)
  • 11-Part 2. Operating a self-healing Jenkins cluster.mp4 (5.1 MB)
  • 01-Part 1. Getting started with Jenkins.mp4 (5.0 MB)
  • 31-Part 3. Hands-on CI_CD pipelines.mp4 (4.9 MB)
  • TutsNode.com.txt (0.1 KB)
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Description


Description

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!

Published 9/2021



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Pipeline as Code: Continuous Delivery with Jenkins, Kubernetes, and Terraform

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3.2 GB
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Pipeline as Code: Continuous Delivery with Jenkins, Kubernetes, and Terraform

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