☵Cloud & K8s

KubernetesAWS / GCP / AzureTerraformGitOps

Learn Cloud Computing and Kubernetes to deploy, scale, and manage containerized applications in production. From cloud fundamentals to advanced orchestration and infrastructure as code.

Free Tutorial

Learn Cloud & Kubernetes - Container Orchestration at Scale

Master cloud computing and Kubernetes for modern application deployment. Learn to provision cloud infrastructure on AWS, GCP, and Azure, orchestrate containers with Kubernetes, manage deployments with Helm and ArgoCD, automate infrastructure with Terraform, and build production-ready cloud-native applications.

Prerequisites

Before learning Cloud & Kubernetes, you should have a solid understanding of Docker containers, basic command-line skills, and familiarity with web application development.

Docker & DevOps Tutorial Node.js Tutorial

What You'll Learn

✓ Cloud computing fundamentals & service models
✓ AWS, GCP, and Azure core services
✓ Kubernetes architecture & core objects
✓ Pods, Deployments & rolling updates
✓ Services, Ingress & networking
✓ Helm charts & package management
✓ Terraform & Infrastructure as Code
✓ GitOps with ArgoCD
✓ RBAC, security & service accounts
✓ Monitoring, autoscaling & cost optimization

Course Topics

Lesson 1

Beginner

15 min

Cloud Computing Fundamentals

Understand the core concepts of cloud computing, service models (IaaS, PaaS, SaaS), deployment models, and how the cloud transforms infrastructure management

Master essential AWS services including EC2, S3, IAM, VPC, Lambda, RDS, and CloudFront for building scalable cloud applications

Explore Google Cloud Platform's essential services including Compute Engine, Cloud Storage, BigQuery, Cloud Run, and GKE

Learn Microsoft Azure's key services including Virtual Machines, Blob Storage, Azure Functions, AKS, and Azure DevOps

Kubernetes Fundamentals

Understand Kubernetes architecture, core concepts, the control plane, worker nodes, and how container orchestration works at scale

Deep dive into Kubernetes Pods, Deployments, ReplicaSets, rolling updates, rollback strategies, and lifecycle management

Services and Networking

Master Kubernetes Services (ClusterIP, NodePort, LoadBalancer), DNS, network policies, and inter-pod communication

ConfigMaps and Secrets

Learn how to manage application configuration and sensitive data in Kubernetes using ConfigMaps, Secrets, and external secret managers

Understand Kubernetes storage with PersistentVolumes, PersistentVolumeClaims, StorageClasses, and StatefulSets for data persistence

Master Helm, the Kubernetes package manager — create, install, upgrade, and manage Helm charts for reproducible deployments

Implement Role-Based Access Control in Kubernetes with Roles, ClusterRoles, RoleBindings, and security best practices

Horizontal Pod Autoscaling

Configure Horizontal Pod Autoscalers (HPA) and Vertical Pod Autoscalers (VPA) for automatic scaling based on metrics

Configure Kubernetes Ingress resources and controllers for HTTP routing, TLS termination, path-based routing, and load balancing

Understand Kubernetes Service Accounts, token management, workload identity, and how to securely authenticate applications within the cluster

Namespaces and Resource Quotas

Organize clusters with Namespaces, enforce resource limits with ResourceQuotas and LimitRanges, and implement multi-tenancy

Master essential kubectl commands, context management, output formatting, debugging techniques, and productivity tips

Kubernetes Monitoring

Set up comprehensive monitoring with Prometheus, Grafana, alerting, logging with the EFK stack, and observability best practices

Cloud-Native & 12-Factor Apps

Apply the 12-Factor App methodology to build cloud-native applications that are portable, scalable, and resilient

Learn HashiCorp Terraform fundamentals — providers, resources, variables, outputs, state management, and your first infrastructure deployment

Infrastructure as Code

Deep dive into IaC principles, Terraform modules, workspaces, state management, and advanced patterns for managing infrastructure at scale

GitHub Actions Advanced

Build advanced CI/CD pipelines with GitHub Actions for Kubernetes deployments, Docker builds, Terraform automation, and multi-environment workflows

Implement GitOps principles using ArgoCD for declarative, Git-based continuous delivery to Kubernetes clusters

Understand container registries (ECR, GCR, ACR, GHCR, Docker Hub), image management, security scanning, and registry best practices

Cloud Cost Optimization

Strategies for reducing cloud and Kubernetes costs — right-sizing, spot instances, reserved capacity, autoscaling, and FinOps practices

Multi-Cloud Strategies

Design and implement multi-cloud architectures, avoid vendor lock-in, use abstraction layers, and manage complexity across cloud providers

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Frequently Asked Questions

What is Kubernetes?

Kubernetes (K8s) is an open-source container orchestration platform that automates the deployment, scaling, and management of containerized applications. Originally developed by Google, Kubernetes handles tasks like load balancing, service discovery, automated rollouts and rollbacks, self-healing, and secret management across clusters of machines.

What is the difference between Docker and Kubernetes?

Docker is a containerization platform that packages applications into portable containers, while Kubernetes is an orchestration platform that manages and coordinates those containers at scale. Docker handles building and running individual containers, whereas Kubernetes manages clusters of containers across multiple hosts, handling scheduling, scaling, networking, and high availability.

What are the main cloud providers?

The three major cloud providers are Amazon Web Services (AWS), Google Cloud Platform (GCP), and Microsoft Azure. AWS has the largest market share and broadest service offering. GCP excels in data analytics and machine learning. Azure integrates well with Microsoft enterprise tools. Each provider offers managed Kubernetes services: EKS (AWS), GKE (GCP), and AKS (Azure).

What is Infrastructure as Code?

Infrastructure as Code (IaC) is the practice of managing and provisioning computing infrastructure through machine-readable configuration files rather than manual processes. Tools like Terraform, AWS CloudFormation, and Pulumi allow you to version control your infrastructure, automate deployments, ensure consistency across environments, and enable GitOps workflows for reliable infrastructure management.

Ready to Learn Cloud & Kubernetes?

Begin your cloud journey with cloud computing fundamentals. You'll learn what cloud computing is, how service models work, and how to get started with AWS, GCP, and Azure.

Start Learning Cloud & Kubernetes →