Month 3 — Kubernetes, AWS Cloud & Monitoring

Complete, step-by-step, industry-level explanation of Orchestration & Cloud concepts

1. Kubernetes (K8s) — Complete Explanation

Kubernetes (K8s) is an orchestration platform that helps you run and manage containers at scale. It automates deployment, scaling, load balancing, storage management, and self-healing.

1.1 Kubernetes Architecture (In Simple Terms)

1.2 Core Kubernetes Objects

Sample Commands

kubectl get pods
kubectl get deployments
kubectl apply -f deployment.yml
kubectl describe pod myapp-pod
    

1.3 Helm Charts

Helm is a package manager for Kubernetes. It bundles YAML files and simplifies deployments.

1.4 Stateful Workloads

Used for apps like databases that require persistent storage.

Official Kubernetes Docs:
https://kubernetes.io/docs/

2. AWS Cloud — Foundational + Practical Knowledge

AWS (Amazon Web Services) is the world’s leading cloud platform. In DevOps, AWS is commonly used for hosting apps, CI/CD pipelines, monitoring, databases, virtual machines, etc.

2.1 AWS EC2 (Virtual Servers)

2.2 AWS S3 (Storage Service)

2.3 AWS IAM (Identity & Access Management)

2.4 AWS VPC (Networking)

2.5 AWS RDS (Managed Database Service)

AWS Official Docs:
https://docs.aws.amazon.com/

3. Monitoring — Complete Observability Stack

3.1 Prometheus

3.2 Grafana

3.3 ELK / EFK Stack

Elasticsearch + Logstash (or Fluentd) + Kibana.

Monitoring References:
Prometheus: https://prometheus.io/docs/
Grafana: https://grafana.com/docs/
Elastic: https://www.elastic.co/guide/index.html