DevOps Mastery: Jenkins, Kubernetes, Docker & ArgoCD - 2026

Learn how Groovy string interpolation works in Jenkins pipeline jobs, using double-quoted strings to evaluate variables inside ${name}, and understand why single quotes print the raw text.

Parameterize Jenkins pipeline and freestyle jobs with a choice parameter for branches master, feature one, and feature two. Use params for runtime interpolation to build the selected branch.

Install and run SonarQube on a Linux machine by setting Java eight as default, downloading the binary, and starting the server. Access web interface on port 9000 with admin credentials.

Publish java source code to SonarQube for static analysis via Jenkins and SonarQube scanner plugin; configure the server, generate a token, run Maven, and view the quality gate.

Mark a Jenkins pipeline as failed when SonarQube quality gate fails by waiting for quality gate status, checking it via scripted groovy, and notifying via Slack.

Integrate declarative Jenkins pipelines with git checkout, using pipeline syntax from a source code management system and GitHub credentials, while understanding checkout behavior and avoiding duplicate checkouts.

Learn to build java-based maven applications with declarative pipelines by adding maven to PATH via an environment block, checkout code, and run mvn clean package to produce a war.

Learn to set custom build display names in Jenkins declarative pipelines by leveraging the currentBuild global variable to display app name followed by the build number.

Explore Jenkins security by managing users, permissions, and authorization. Learn how default admin access can be restricted by switching security realms and integrating with Active Directory.

Explore a complete ci cd workflow with git, Jenkins, Ansible, and Docker, building a Maven war, pushing a Docker image, and deploying to a dev server.

Learn how to create and reuse code with Jenkins shared libraries, including folder structure (vars, src, resources), Git setup, and configuring global pipeline libraries for reuse across jobs.

Kubernetes orchestrates docker containers and automates application deployments with a single command. It schedules replicas across nodes, enables autoscaling, maintains the cluster, and automatically recovers containers when nodes fail.

Set up a Kubernetes cluster on AWS using Kops, including creating IAM role, S3 bucket for cluster state, and Route 53 hosted zone, then deploy a pod with kubectl.

Learn to build ci/cd pipelines on Kubernetes using a Jenkins declarative pipeline, building and pushing NodeJS Docker images with dynamic tags from the latest git commit.

Learn to deploy dockerized applications to a Kubernetes cluster via a Jenkins pipeline, dynamically updating image tags in pods.yaml and services.yaml, and exposing them with an AWS load balancer.