Docker, Kubernetes, Observability & Microservices
A Complete Beginner's Guide
4-day live program across two weekends — build a real-time microservices project with Docker, Kubernetes on-prem (kubeadm), Helm, Prometheus, Grafana, and a full observability stack.
A comprehensive 4-day beginner-friendly live program spread across two weekends. You will containerize real microservices with Docker, set up a production-grade Kubernetes cluster on-premises using kubeadm, manage deployments with Helm 3, build a full observability stack with Prometheus and Grafana, and deploy an end-to-end microservices project on AWS EC2 (Ubuntu 22.04).
One-Time Fee
Early bird price ₹3,499 valid till Tuesday — ₹3,999 after that.
4 Days · 10+ Hours (Live, Hands-on)
What's Included?
Why This Webinar Matters 🚀
Most DevOps courses teach tools in isolation. This program shows you how the entire modern DevOps ecosystem fits together — from writing a Dockerfile to monitoring live production traffic in Grafana. You'll leave with a real end-to-end project deployed on Kubernetes, experience every layer of the stack, and have the confidence to work on production systems from day one.
Every Tool You Will Learn & Use 🛠️
MODULE 10 — Real-Time Microservices Project 🏗️
Cloud-Native E-Commerce Platform: 5 independent microservices deployed on Kubernetes, fully monitored with Prometheus & Grafana — demonstrating everything from Modules 1–9 working together.
frontend-svc (React + Nginx)
Web UI for browsing products & checkout
product-svc (Node.js + Express)
Product catalog REST API
cart-svc (Python + Flask)
Shopping cart — uses Redis for sessions
order-svc (Spring Boot Java)
Order processing, publishes to RabbitMQ
notification-svc (Node.js worker)
Consumes RabbitMQ, sends email events
mongodb (StatefulSet)
Persistent product & order storage
redis (Deployment)
Cart session cache
rabbitmq (StatefulSet)
Async messaging between order & notification services
What You'll Learn in This Session 📘
End-to-End Project Modules 📚
8 hands-on steps — from Dockerfile to live Grafana dashboards
Step 1 — Containerize
Write multi-stage Dockerfiles for all 5 services and push images to Docker Hub (or ECR)
Step 2 — Kubernetes manifests
Create Deployment + Service YAMLs for each microservice, StatefulSets for MongoDB & RabbitMQ, and PVCs for persistent data
Step 3 — ConfigMaps & Secrets
Externalize DB URIs, RabbitMQ credentials, and JWT keys
Step 4 — Ingress
Install Nginx Ingress Controller and route shop.example.com → frontend-svc, api.example.com/products → product-svc, etc.
Step 5 — Helm chart
Package the entire app as a single Helm chart with values.yaml controlling replicas, image tags, and resource limits
Step 6 — Autoscaling
Apply HPA to product-svc and order-svc (scale 2→10 pods at 70% CPU)
Step 7 — Observability
Expose /metrics endpoints, configure ServiceMonitor CRDs, and import a custom Grafana dashboard showing request rate, error rate, and p95 latency per microservice
Step 8 — Load test & verify
Run a load generator (k6/hey) and watch HPA scale pods and Grafana dashboards light up in real time
Outcomes 🎯
Who This Session Is For 👥
No prior DevOps experience required.
What You'll Get 🎁
Schedule & Logistics
Ready to Join This Webinar?
4 Days · 10+ Hours (Live, Hands-on). Live, hands-on learning. Production-ready workflows.4-day live program across two weekends — build a real-time microservices project with Docker, Kubernetes on-prem (kubeadm), Helm, Prometheus, Grafana, and a full observability stack.
One-Time Fee
₹3,499
4 Days · 10+ Hours (Live, Hands-on)
Visit our Hyderabad office
Flat No.403, Nandini Residency, 15/A Addagutta Society - HMT Hills Rd, near JNTU, Addagutta Society, Jal Vayu Vihar, Kukatpally, Hyderabad, Telangana 500085
