Claude Code in CI/CD Pipelines: Automating Development with Headless Mode
Integrate Claude Code into CI/CD pipelines using headless mode - automate code reviews, fix lint errors, generate documentation, and triage issues without human intervention.
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Integrate Claude Code into CI/CD pipelines using headless mode - automate code reviews, fix lint errors, generate documentation, and triage issues without human intervention.
Learn how to conduct effective pull request reviews. Cover CODEOWNERS, review automation, constructive feedback, and building a healthy review culture.
Master Kubernetes Services for exposing applications. Learn ClusterIP, NodePort, LoadBalancer, and ExternalName types, plus service discovery and DNS.
Secure Kubernetes clusters with RBAC. Learn Roles, ClusterRoles, RoleBindings, ServiceAccounts, and security best practices.
Deep dive into Kubernetes Pods - the smallest deployable unit. Learn pod lifecycle, multi-container patterns, resource management, and best practices.
Master Kubernetes storage with PersistentVolumes, PersistentVolumeClaims, StorageClasses, and StatefulSets for stateful applications.
Master essential Kubernetes patterns including Sidecar, Init Container, Ambassador, and Adapter. Learn when and how to apply each pattern.
Control pod-to-pod communication with NetworkPolicy. Learn ingress/egress rules, namespace isolation, and network security patterns.
Organize Kubernetes clusters with Namespaces and control resource consumption with ResourceQuota and LimitRange for multi-tenant environments.
Learn the fundamentals of Kubernetes, including its architecture, core components, and why it has become the standard for container orchestration.
Master Kubernetes Ingress for HTTP/HTTPS routing. Learn about Ingress controllers, path-based routing, TLS termination, and popular implementations.
Master Helm for Kubernetes application deployment. Learn charts, templates, values, repositories, and release management.
Configure liveness, readiness, and startup probes to keep applications healthy. Learn lifecycle hooks for graceful startup and shutdown.
Master Kubernetes Deployments and ReplicaSets for managing pod replicas, rolling updates, rollbacks, and scaling strategies in production environments.
Learn to manage application configuration in Kubernetes using ConfigMaps and Secrets. Covers environment variables, volume mounts, and best practices.
Master kubectl, the Kubernetes command-line tool. Learn essential commands for managing clusters, pods, deployments, and debugging applications.
Master the fundamentals of GitHub Actions workflows. Learn YAML syntax, triggers, jobs, steps, and how to create your first automated CI/CD pipeline.
Learn how to secure your GitHub Actions workflows. Cover secrets management, GITHUB_TOKEN permissions, supply chain security, and protection against common vulnerabilities.
Learn how to create and use reusable workflows in GitHub Actions to eliminate duplication across repositories and teams. Master inputs, secrets, outputs, and best practices.
Learn how to use matrix strategy in GitHub Actions to run parallel builds across multiple OS versions, language versions, and configurations efficiently.
Master CI/CD with GitHub Actions. Learn about environments, OIDC authentication, deployment strategies like Blue-Green and Canary, and production-ready workflows.
Understand the difference between git merge and rebase. Learn when to use each, how to handle conflicts, and best practices for maintaining a clean Git history.
Learn how to use Git hooks to automate code quality checks. Cover pre-commit, commit-msg, pre-push hooks, and modern tools like Husky and lint-staged.
Compare GitHub Flow, Git Flow, and Trunk-Based Development. Learn how to choose the right branching strategy based on your team size, release cadence, and project needs.
Learn how to write Dockerfiles to create custom container images. Master essential instructions like FROM, RUN, COPY, CMD, and ENTRYPOINT.
Master Docker data persistence with volumes, bind mounts, and tmpfs. Learn when to use each type and best practices for managing stateful containers.
Learn Docker Swarm for orchestrating containers across multiple hosts. Master cluster setup, services, stacks, overlay networks, and deployment strategies.
Comprehensive guide to Docker security - namespaces, capabilities, seccomp profiles, rootless containers, image scanning, and secrets management.
Master Docker networking - understand bridge, host, and none networks, port mapping, container DNS, and how to design secure multi-tier architectures.
Learn multi-stage builds to create smaller, more secure Docker images by separating build dependencies from runtime environments.
Set up comprehensive monitoring and logging for Docker containers using Prometheus, Grafana, cAdvisor, and the ELK Stack.
Learn the fundamentals of Docker and containerization - why containers exist, how they differ from VMs, and the core architecture that makes Docker work.
Master Docker images - learn how the layered filesystem works, proper tagging conventions, and how to work with registries effectively.
Advanced techniques for optimizing Docker images - layer caching, .dockerignore, base image selection, and best practices for production-ready containers.
Master Docker debugging techniques - container logs, exec commands, network troubleshooting, and common problem solutions.
Master essential Docker container operations - running containers, viewing logs, executing commands, inspecting state, and lifecycle management.
Learn Docker Compose for defining and running multi-container applications. Master docker-compose.yml, services, networks, volumes, and environment management.
Build automated CI/CD pipelines for Docker applications using GitHub Actions. Learn image building, testing, security scanning, and deployment strategies.
Learn how to create custom GitHub Actions using Docker containers, JavaScript, or composite actions. Build reusable automation that can be shared across projects.
Learn how to monitor and log Docker containers using Prometheus, Grafana, ELK Stack, and cAdvisor for production-ready observability.