COURSE OUTLINE

·      Day 1: SRE Principles, Metrics & Incident Management

·      Day 2: Observability + Containers

o  Topic: Monitoring and Observability Deep Dive

§ Description: Covers full stack metrics (infra + app); instrumentation and business KPIs.

Ø Mode: Lecture

o  Topic: Prometheus & Grafana Lab

§ Description: Collect metrics, build dashboards, and set up custom alerts.

Ø Mode: Hands-on Lab

o  Topic: Distributed Tracing & Log Aggregation

§ Description: Trace microservices across requests; use ELK or Datadog for correlation.

Ø Mode: Live Demo

o  Topic: Containerization with Docker

§ Description: Build and run containerized apps; image layering and registry management.

Ø Mode: Hands-on Lab

·      Day 3: Kubernetes + Application Reliability

o  Topic: Kubernetes for SREs

§ Description: Pods, services, rolling updates, auto-healing, readiness/liveness probes.

Ø Mode: Hands-on Lab

o  Topic: Advanced Kubernetes: Helm, HPA, Node Affinity

§ Description: Automate deployments, manage scaling and placement for reliability.

Ø Mode: Hands-on Lab

o  Topic: Progressive Delivery (Blue/Green, Canary)

§ Description: Control release risk through staged deployment strategies.

Ø Mode: Tool Demo + Use Case Design

o  Topic: Application Reliability Patterns

§ Description: Timeouts, retries, bulkheads, fallbacks; demo using a fault-injected app.

Ø Mode: Workshop + Code Review

·      Day 4: Automation + Chaos Engineering

o  Topic: Automation with Python & Bash

§ Description: Write scripts for health checks, failover triggers, and Slack integrations.

Ø Mode: Hands-on Lab

o  Topic: Chaos Engineering Theory

§ Description: Understanding controlled failures, hypotheses, and safety checks.

Ø Mode: Lecture + Group Exercise

o  Topic: Chaos Tools: Chaos Mesh / Gremlin lab

§ Description: Simulate pod failures, latency injection, and auto-recovery.

Ø Mode: Hands-on Lab

o  Topic: Lab: Resilience Testing a Microservice

§ Description: Inject chaos and monitor system behavior with dashboards and alerts.

Ø Mode: Hands-on Lab

·      Day 5: DB, Capstone, and Final Review

o  Topic: Database Management and Failover

§ Description: Scaling, tuning, read replicas, automated failover strategies.

Ø Mode: Lecture + SQL Lab

o  Topic: Release Engineering & Deployment Governance

§ Description: How to enforce policies, approvals, and rollback strategies for safe deploys.

Ø Mode: Case Study

o  Topic: Capstone: Design a Resilient Cloud-Native System

§ Description: Teams architect a production-ready system with SLIs/SLOs, observability, CI/CD, and resilience patterns.

Ø Mode: Workshop

o  Topic: Team Presentations + Expert Review

§ Description: Feedback from instructors on system design, trade-offs, and tooling.

Ø Mode: Presentation + Group Feedback

OPTIONAL ADD-ONS OR CUSTOMIZATION

·      Executive Briefing Track (1-day): For CIOs and VPs — focused on reliability ROI, staffing models, OKRs, and governance.

·      Tool-Specific Deep Dives: Jenkins Advanced, Terraform Enterprise, Kubernetes Security, AWS Fault Injection Simulator.

·      Post-Training Assessment & Certification: Knowledge check, capstone grading, and certificate of completion.