“Stop just deploying—start scaling with 99.9% reliability. Our SRE course is designed to bridge the gap between development and operations. Learn to build fault-tolerant systems, automate ‘toil,’ and manage global-scale infrastructure using Google’s SRE principles. Master the art of keeping systems alive and thriving under pressure.”
- Duration: 9 months
- Focus: High Availability & Zero Downtime
- Tools: Prometheus, Grafana, K8s, Chaos Mesh
- Outcome: Industry-Recognized SRE Training
- Month 1: Advanced Linux & Networking. * Go beyond basic commands. Master LVM, systemd, kernel tuning, SSH hardening, and deep networking (TCP/UDP, DNS, Load Balancing).
- Month 2: Programming (Python & Java).
Python: Focus on automation scripts, OS module, and interacting with APIs.
Java: Understand the JVM, build lifecycles, and how Java apps consume resources (memory/CPU). - Month 3: Frontend & Build Tools (React/Angular + Maven).
Learn how to build and package apps. You don’t need to be a designer, but you must know how to containerize a React/Angular build and manage Java dependencies with Maven.
- Month 4: CI/CD & Configuration (Jenkins + Ansible).
Build pipelines in Jenkins (Declarative Pipelines).
Use Ansible to automate server setups so you never have to “manually” install a package again. - Month 5: Containerization (Docker + Kubernetes).
Docker: Image optimization and multi-stage builds.
K8s: Pods, Services, Deployments, ConfigMaps, and Secrets. This is the heart of modern SRE. - Month 6: Infrastructure as Code (Terraform + Cloud).
Pick AWS or Azure (start with one).
Use Terraform to provision VPCs, EC2/VMs, and S3 buckets. Never click buttons in the UI; write code instead.
- Month 7: Advanced Cloud & Multi-Cloud.
Deep dive into the second cloud provider (AWS/Azure).
Focus on Managed Kubernetes (EKS/AKS) and Serverless functions. - Month 8: AI-Powered DevOps & Prompting:
Prompt Engineering: Learn to use LLMs to debug logs, generate Terraform code, and explain complex K8s errors.
AI for SRE: Explore AIOps tools. Use Python to build basic monitoring scripts that use AI APIs (like OpenAI or Anthropic) to analyze system health. - Month 9: Capstone Project & SRE Principles.
Project: Deploy a full-stack app (Java/React) on K8s via Terraform/Jenkins, with automated monitoring and an AI-driven log analyzer.
Study SLIs, SLOs, and Error Budgets (The Google SRE way).
