Docker for DevSecOps Day 07 - From Downtime to Uptime: Docker Swarm’s Power in Action!

Описание: 📅 Training Summary

🔹 00:00 – 🚀 Kickoff & Session Roadmap
Review of previous Docker session
Objectives for the day: Docker Swarm + High Availability + Self-Healing Containers

🔹 00:26 – 🐳 What is Docker Swarm?
Built-in container orchestration tool in Docker
Ensures containers are 24/7 available
Differentiated from Kubernetes
Added purely for interview readiness

🔹 01:47 – 🔧 Real-Time Docker Run Demo
Container deployed on Azure VM using docker run
App launched via public IP:7070
Immediate browser-based validation

🔹 06:14 – ❌ Container Crash Simulation
Manually stopped container
Website became unreachable → demonstrated downtime risk

🔹 08:31 – 💥 Conflict: Running New App on Same Port
Tried running a different app → Served incorrect site
Highlighted how non-orchestrated Docker can misroute users

🔹 17:34 – 🤖 Need for Automation & Self-Healing
Manual restart not scalable
Introduced Docker Swarm to enable auto-recovery

🔹 20:01 – 🔄 Docker Swarm Setup (Live)
Command: docker swarm init --advertise-addr Private IP
Deployed service via docker service create
Key difference: services vs containers

🔹 23:36 – 🔁 Auto-Recovery Demo
Stopped container → Docker Swarm instantly redeployed it
Showcased true resilience

🔹 27:19 – ⚠️ Server Failure ≠ Container Failure
Killed entire server → Container doesn’t come back
Introduced concept of multi-node Swarm cluster for true HA

🔹 30:49 – 🌐 Multi-Node Cluster Architecture
1 Manager + multiple Worker nodes
Load distributed among all
Access via any node's public IP

🔹 35:12 – 🔐 Manager Failure & Raft Consensus
Covered Raft algorithm → Consensus-based leader election
Recommended: 3–5 manager nodes max for performance

🔹 43:34 – 🎞 Raft Visualization
Shown animated demo of manager election during failure
Explained quorum, leadership, failover

🔹 45:20 – 📈 High Load? Scale it Up!
Used: docker service scale svc1=5
Added more containers → Load spread across nodes
Swarm lacks auto-scaling (Kubernetes supports it)

🔹 48:13 – 🌀 Rolling Updates (Zero Downtime Deployment)
Introduced concept of rolling updates
Safe deployment of new versions without downtime
Supported rollback in case of app crash or failure

🔹 52:38 – ⚔️ Docker Swarm vs Kubernetes
Swarm is Docker-specific
Kubernetes is platform-agnostic, powerful, and industry-standard
Learners encouraged to transition to Kubernetes next

🔹 55:26 – ✅ Wrap-Up & What’s Next
Docker Swarm segment completed
Next Module: Terraform
3 sessions planned, followed by Ansible, Monitoring, and Kubernetes

✅ Key Learnings Recap
Docker Swarm = Built-in orchestration & auto-healing
Service vs Container → Important DevOps difference
Raft consensus ensures fault tolerance in multi-manager setup
Swarm enables scaling, load balancing, and zero-downtime updates
Kubernetes is the future-proof solution for container orchestration
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