Master in GitOps

Transform your approach to infrastructure and application deployment. Learn to leverage Git as the single source of truth for declarative infrastructure and applications, enabling automated deployments, rollbacks, and continuous delivery with confidence.

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Who Should Enroll?

This course is ideal for:

Prerequisites

Essential GitOps Tools & Technologies Covered

Git / GitHub / GitLab

Kubernetes

Argo CD

Flux CD

Kustomize

Helm

Cloud Providers

CI/CD Tools (Jenkins/GitLab CI)

Policy as Code (OPA)

Secrets Management

Progressive Delivery Tools

Config Management

Our hands-on approach focuses on mastering these powerful tools to implement robust GitOps workflows.

Job Roles After This Course

Comprehensive GitOps Syllabus: Declarative Delivery at Scale!

Module 1.1: GitOps Foundations & Principles

  • Introduction to GitOps: Definition, core principles, benefits (speed, reliability, security).
  • Declarative vs. Imperative Approaches.
  • Git as the Single Source of Truth (SSOT).
  • Desired State vs. Actual State.
  • GitOps Workflow: Pull Request based changes, reconciliation loops.
  • Immutability of deployments.
  • Lab: Setting up a basic Git repository for infrastructure definitions.

Concepts Covered:

  • GitOps Principles, Declarative State, Git as SSOT, Reconciliation.

Expected Outcomes:

  • Understand the fundamental concepts and benefits of GitOps.
  • Differentiate between declarative and imperative approaches.
  • Grasp the GitOps workflow and its advantages for operations.

Module 1.2: Kubernetes Essentials for GitOps

  • Kubernetes Review: Pods, Deployments, Services, Namespaces, ConfigMaps, Secrets.
  • kubectl proficiency: Managing Kubernetes resources.
  • YAML for Kubernetes Manifests.
  • Kubernetes Architecture: Control Plane, Nodes, Kubelet.
  • Introduction to Kubernetes Operators and Custom Resource Definitions (CRDs).
  • Best practices for organizing Kubernetes manifests in Git.
  • Lab: Deploying applications to Kubernetes using raw YAML, managing resources with kubectl.

Tools Covered:

  • Kubernetes, kubectl, YAML.

Expected Outcomes:

  • Solidify Kubernetes fundamentals essential for GitOps.
  • Efficiently manage Kubernetes resources using kubectl and YAML.
  • Prepare Kubernetes manifests for Git-based management.

Module 2.1: Argo CD for Application & Infrastructure Delivery

  • Introduction to Argo CD: Architecture, features, and use cases.
  • Installing and Configuring Argo CD.
  • Argo CD Applications: Defining applications, sources, destinations.
  • Synchronization and Health Checks.
  • Automated Sync, Manual Sync, Rollbacks with Argo CD.
  • Managing multiple environments with Argo CD.
  • Lab: Installing Argo CD, deploying applications with auto-sync, performing rollbacks.

Tools Covered:

  • Argo CD, Kubernetes.

Expected Outcomes:

  • Deploy and manage applications using Argo CD.
  • Implement automated synchronization and rollbacks.
  • Manage applications across different environments efficiently.

Module 2.2: Flux CD for GitOps Automation

  • Introduction to Flux CD: Architecture, features, and comparison with Argo CD.
  • Installing and Bootstrapping Flux CD.
  • Kustomizations and Helm Releases with Flux CD.
  • Image Automation and Image Update Automation (Flux Image Reflector, Image Policy).
  • Flux CD Notifications and Alerting.
  • Managing dependencies and multi-tenancy with Flux CD.
  • Lab: Installing Flux CD, deploying Kustomize/Helm releases, configuring image automation.

Tools & Concepts:

  • Flux CD, Kustomize, Helm, Image Automation.

Expected Outcomes:

  • Implement continuous delivery with Flux CD.
  • Automate image updates and dependency management.
  • Understand Flux CD capabilities for advanced GitOps workflows.

Module 3.1: Configuration Management with Kustomize & Helm

  • Kustomize: Declarative configuration management without templates.
  • Overlays, Bases, Patches, Generators in Kustomize.
  • Helm: Templating Kubernetes manifests with Helm charts.
  • Creating and Managing Helm Charts: Best practices, values, dependencies.
  • Using Kustomize with Helm: Combining strengths.
  • Managing application configurations in Git.
  • Lab: Customizing applications with Kustomize, creating and deploying Helm charts.

Tools Covered:

  • Kustomize, Helm.

Expected Outcomes:

  • Effectively manage Kubernetes configurations using Kustomize for overlays.
  • Create and customize reusable application packages with Helm.
  • Combine Kustomize and Helm for complex deployment scenarios.

Module 3.2: GitOps for CI/CD & Progressive Delivery

  • Git-driven CI/CD Pipelines: Triggering builds from Git pushes.
  • Separation of Concerns: CI vs. CD in a GitOps world.
  • Progressive Delivery: Canary Deployments, Blue/Green Deployments, Feature Flags.
  • Implementing Progressive Delivery with GitOps tools (Argo Rollouts, Flagger).
  • Automated Rollbacks based on health checks and metrics.
  • Monitoring and Observability for GitOps deployments.
  • Lab: Setting up a CI pipeline to push changes to Git, implementing a canary deployment with Argo Rollouts.

Tools & Concepts:

  • Argo Rollouts, Flagger, Jenkins/GitLab CI/GitHub Actions, Prometheus/Grafana.

Expected Outcomes:

  • Integrate GitOps with traditional CI pipelines.
  • Implement advanced progressive delivery strategies.
  • Automate safe rollouts and rollbacks based on operational data.

Module 4.1: Advanced GitOps & Security

  • Multi-Cluster GitOps: Managing applications across multiple Kubernetes clusters.
  • Multi-Tenancy in GitOps: Securely separating environments and teams.
  • Policy as Code with OPA (Open Policy Agent) in GitOps workflows.
  • Secrets Management in GitOps: External Secrets, Sealed Secrets.
  • Security Best Practices for Git Repositories (branch protection, access control).
  • Auditing and Compliance in GitOps environments.
  • Lab: Deploying applications to multiple clusters, implementing policy enforcement with OPA, managing secrets securely.

Tools & Concepts:

  • OPA, External Secrets, Sealed Secrets, Git security features, Multi-Cluster Management.

Expected Outcomes:

  • Manage complex GitOps setups across multiple clusters and teams.
  • Implement policy-driven guardrails for deployments.
  • Handle secrets securely within GitOps workflows.

Module 4.2: GitOps Maturity & Ecosystem

  • GitOps for Infrastructure (beyond Kubernetes): Terraform, CloudFormation (conceptual).
  • GitOps for Databases and Data Pipelines (conceptual).
  • Testing in GitOps: Integration and End-to-End Testing strategies.
  • GitOps Maturity Model: Levels and progression.
  • Troubleshooting Common GitOps Issues.
  • Future Trends in GitOps and Cloud Native.
  • Capstone Project: Design and implement a full GitOps solution for a complex application, including multi-environment deployment, progressive delivery, and security best practices.

Concepts & Tools:

  • GitOps Maturity Model, Testing Strategies, Future Trends, Cloud Native Ecosystem.

Expected Outcomes:

  • Apply GitOps principles to a broader set of infrastructure and applications.
  • Understand and improve GitOps maturity within an organization.
  • Troubleshoot and resolve common GitOps deployment issues.
  • Design and implement a complete, robust GitOps system for real-world scenarios.

Our comprehensive modules ensure you gain the deep understanding and practical skills required to excel as a GitOps specialist.

Student Testimonials

"This GitOps course is a game-changer! I can now manage our Kubernetes deployments with unparalleled confidence and automation thanks to Argo CD."

- Priya Sharma

"Learning about Flux CD and its image automation capabilities was incredibly insightful. It's revolutionizing our CI/CD pipelines."

- David Lee

"Vishwa Sir's expertise in Kustomize and Helm, and how they fit into GitOps, made complex configuration management so clear. Highly recommended!"

- Sophie Dubois

"The progressive delivery module with Argo Rollouts was mind-blowing. We're now implementing safe, automated canary deployments in production."

- Mark Johnson

"As an SRE, this course helped me deepen my understanding of declarative infrastructure and how to truly leverage Git as the source of truth for everything."

- Elena Petrova

"Thanks to Vishwa Sir's practical approach and the detailed labs, I'm now confidently implementing GitOps for multi-cluster environments. The capstone project sealed my understanding."

- Raj Patel

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