Docker, Kubernetes, Terraform, ArgoCD & Grafana
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🎓 Attended 2 Free Classes 📅

⏰ Everyday, Same Time

🔬 Course Overview: This comprehensive course is designed to provide in-depth knowledge and hands-on expertise in containerization, orchestration, infrastructure as code, continuous delivery, and monitoring. The course is ideal for DevOps professionals, developers, and IT engineers looking to master these modern technologies and apply them to real-world scenarios.


🛠️ Module 1: Introduction to Docker

Duration: 2 weeks

  • Overview of Containers and Virtualization
  • Traditional vs. Containerized Environments
  • Benefits of Containerization
  • Docker Architecture
  • Docker Daemon, CLI, and Registry
  • Image and Container Concepts
  • Docker Installation and Setup
  • Installing Docker on Linux/Windows/Mac
  • Post-installation configurations
  • Working with Docker Images
  • Creating, Managing, and Sharing Images
  • Docker Hub and Private Registries
  • Docker Networking and Storage
  • Bridge, Host, and Overlay Networks
  • Data Persistence with Volumes and Bind Mounts
  • Docker Compose
  • Multi-container Applications
  • YAML Configuration Files
  • 🔧 Hands-on Labs
  • Building and Running Dockerized Applications
  • Debugging Containers


🌐 Module 2: Mastering Kubernetes (K8s)

Duration: 4 weeks

  • Kubernetes Fundamentals
  • Overview and Architecture
  • Key Components: API Server, Scheduler, Controller, etc.
  • Setting up Kubernetes
  • Minikube and Kind for Local Development
  • Cluster Setup on Cloud Platforms (EKS, AKS, GKE)
  • Kubernetes Resources and Objects
  • Pods, ReplicaSets, Deployments, and Services
  • ConfigMaps, Secrets, and Namespaces
  • Kubernetes Networking
  • Cluster Networking Concepts
  • Ingress Controllers and Load Balancers
  • Kubernetes Storage
  • Persistent Volumes (PV) and Persistent Volume Claims (PVC)
  • Storage Classes
  • Scaling and Auto-healing
  • Horizontal Pod Autoscaler (HPA)
  • Self-healing Mechanisms
  • Kubernetes Security
  • Role-Based Access Control (RBAC)
  • Network Policies
  • 🔧 Hands-on Labs
  • Deploying and Managing Applications
  • Monitoring and Debugging Resources


🏢 Module 3: Terraform for Infrastructure as Code (IaC)

Duration: 3 weeks

  • Introduction to Infrastructure as Code (IaC)
  • Traditional vs. IaC Approaches
  • Benefits and Use Cases
  • Terraform Basics
  • Installation and Setup
  • Core Concepts: Providers, Resources, and State
  • Writing Terraform Configurations
  • Terraform Syntax and HCL
  • Creating Reusable Modules
  • State Management
  • Remote State Backends
  • Locking and State Drift Management
  • Terraform Cloud and Workspaces
  • Collaboration Features
  • Workspace Best Practices
  • Terraform with Kubernetes
  • Deploying Kubernetes Resources
  • Managing Cloud Infrastructure for K8s Clusters
  • 🔧 Hands-on Labs
  • Building Scalable Cloud Infrastructure
  • Automating Deployments with Terraform


🌐 Module 4: Continuous Delivery with ArgoCD

Duration: 2 weeks

  • Introduction to GitOps
  • Understanding GitOps Principles
  • Benefits of GitOps in CI/CD
  • ArgoCD Overview
  • Architecture and Key Features
  • Installation and Setup
  • Application Deployment with ArgoCD
  • Creating and Managing Applications
  • Sync Policies and Strategies
  • Advanced ArgoCD Features
  • Automated Rollbacks and Rollouts
  • Monitoring and Alerts
  • Integrating ArgoCD with Kubernetes
  • Using Helm and Kustomize
  • Securing ArgoCD Access
  • 🔧 Hands-on Labs
  • Setting up GitOps Pipelines
  • Managing Multi-environment Deployments


🔧 Module 5: Monitoring and Visualization with Grafana

Duration: 2 weeks

  • Introduction to Monitoring and Observability
  • Importance of Observability in Modern Applications
  • Metrics, Logs, and Traces
  • Grafana Basics
  • Overview and Installation
  • Configuring Grafana Dashboards
  • Data Sources and Integrations
  • Prometheus, Loki, and Other Data Sources
  • Querying with PromQL
  • Alerting and Notifications
  • Setting up Alerts
  • Integrating with Slack, Email, and PagerDuty
  • Advanced Visualization Techniques
  • Custom Dashboards and Panels
  • Grafana Plugins
  • 🔧 Hands-on Labs
  • Setting Up Monitoring for Kubernetes Clusters
  • Creating Dashboards for Application Metrics


🔬 Capstone Projects

Duration: 4 weeks

  1. 💼 Capstone Project 1: Deploying a Scalable E-commerce Application
  • Objective: Containerize a multi-tier e-commerce application and deploy it on Kubernetes using Terraform.
  • Tasks:
  • Build Docker images for frontend, backend, and database.
  • Use Terraform to provision a Kubernetes cluster in the cloud.
  • Deploy and manage the application using Kubernetes manifests.
  • Monitor application performance with Grafana.
  1. 💼 Capstone Project 2: Implementing GitOps for a Microservices Architecture
  • Objective: Set up a CI/CD pipeline for a microservices application using ArgoCD.
  • Tasks:
  • Containerize microservices and push them to a container registry.
  • Configure ArgoCD to deploy the microservices to a Kubernetes cluster.
  • Implement automated rollbacks and rollouts.
  • Visualize deployment metrics with Grafana.
  1. 💼 Capstone Project 3: Real-Time Monitoring and Alerting for a Kubernetes Cluster
  • Objective: Configure end-to-end monitoring for a Kubernetes cluster.
  • Tasks:
  • Set up Prometheus and Grafana for metrics collection and visualization.
  • Create dashboards to monitor node health, application performance, and network traffic.
  • Configure alerting rules for critical scenarios such as resource exhaustion or application crashes.
  • Demonstrate real-time alerts via Slack or email.


🛠️ Tools Covered:

  • Docker, Docker Compose
  • Kubernetes (Minikube, EKS, AKS, GKE)
  • Terraform
  • ArgoCD
  • Grafana
  • Prometheus

🔰 Prerequisites:

  • Basic knowledge of Linux and command-line tools
  • Familiarity with version control systems (e.g., Git)
  • Understanding of basic networking concepts

🎉 Outcome: By the end of the course, participants will be equipped to:

  • Design and implement containerized applications.
  • Automate deployments with Kubernetes and Terraform.
  • Set up and manage GitOps pipelines with ArgoCD.
  • Monitor and optimize infrastructure and applications using Grafana.

🎓 Certification: Participants who successfully complete the course and capstone project will receive a certificate of completion.

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