Project Name Objective Tools Used 1. Linux Health Monitoring Automation Automate performance tracking and alerting Bash, Cron, Mailx 2. Observability Stack Implementation Build a monitoring and logging stack Prometheus, Grafana, Loki 3. Kubernetes Reliability Project Implement self-healing microservices Docker, K8s, Helm 4. Incident Response Simulation Handle outage and perform postmortem PagerDuty, Slack 5. Capstone SRE Project End-to-end CI/CD, monitoring, incident, and recovery Jenkins, K8s, Terraform, Grafana

Site Reliability Engineering (SRE)

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Site Reliability Engineering (SRE) training focuses on building skills in production reliability, monitoring, automation & incident response using Google SRE principles. It teaches how to maintain scalable, resilient systems across cloud-native environments like AWS, Azure, GCP & Kubernetes. This training is important because companies rely on SREs to ensure uptime, performance & efficient operations. Ideal for DevOps Engineers, System Administrators, Cloud Engineers & anyone aiming for reliability-focused engineering roles.

Total Duration of Training : 60 Hours – 40 Hours Practical Training
& 20 hours Projects & Assignments Guidance
Includes: 50+ Assignments | 5 Real-World Projects
| Interview & Certification Preparation
Batch type : Weekdays/Weekends
Mode of Training : Classroom/Online/Corporate Training

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Overview

The Syllabus

Curriculum Designed by Experts

Module 1: SRE Fundamentals and Principles

Duration: 4 Hours
Topics:
• What is SRE? Di`erence between SRE, DevOps, and SysAdmin
• Google SRE Philosophy (SLI, SLO, SLA)
• Error Budgets and Reliability Targets
• Toil Reduction and Automation Principles
• Incident Lifecycle Management
Assignments:
• Define SLIs, SLOs, and SLAs for a sample web application.
• Identify sources of toil in an existing process.
Mini Project: Create an SRE charter for a mock organization.

Module 2: Linux System Administration for SREs

Duration: 6 Hours
Topics:
• Core Linux commands for monitoring & performance
• Process management, log analysis, and system health
• Automation with Bash scripting
• User management, security, and service monitoring
Assignments:
• Write scripts to check CPU, memory, and disk usage with alerts.
Project 1: Linux Server Health Monitoring Automation

Module 3: Version Control and CI/CD Integration

Duration: 5 Hours
Topics:
• Git and GitHub fundamentals for SRE
• CI/CD concepts: Continuous Integration, Deployment & Rollback
• Integrating CI/CD pipelines (Jenkins / GitHub Actions / GitLab CI)
• Infrastructure as Code (IaC) principles
Assignments:
• Build a Jenkins pipeline that tests, builds, and deploys a containerized app.
Mini Project: Setup CI/CD pipeline with rollback for a web application.

Module 4: Monitoring, Logging, and Observability

Duration: 8 Hours
Topics:
• Monitoring Concepts: Metrics, Logs, Traces, Events
• Tools Overview: Prometheus, Grafana, Loki, ELK Stack
• Building Dashboards and Alerting Rules
• Blackbox vs Whitebox Monitoring
• Log Aggregation and Distributed Tracing (Jaeger/OpenTelemetry)
Assignments:
• Create a Prometheus + Grafana dashboard for application metrics.
Project 2: Observability Stack Implementation — Build full monitoring pipeline with alerts.

Module 5: Cloud Infrastructure Reliability (AWS / Azure / GCP)

Duration: 6 Hours
Topics:
• Cloud infrastructure basics: Compute, Network, Storage
• Load Balancing and Auto Scaling concepts
• Availability Zones and High Availability patterns
• Reliability and Disaster Recovery Design
• SRE best practices for cloud deployment
Assignments:
• Design a 3-tier fault-tolerant AWS architecture.
Mini Project: Deploy and monitor an application across multiple regions.

Module 6: Containerization and Orchestration (Docker & Kubernetes)

Duration: 8 Hours
Topics:
• Docker fundamentals (images, containers, volumes, networks)
• Kubernetes architecture (Pods, ReplicaSets, Deployments, Services)
• Managing workloads in production clusters
• Kubernetes Monitoring with Prometheus & Grafana
• Troubleshooting and Cluster Autoscaling
Assignments:
• Deploy a multi-container app to Kubernetes and monitor it.
Project 3: Kubernetes Reliability Project — Set up an auto-healing Kubernetes cluster.

Module 7: Automation and Infrastructure as Code

Duration: 6 Hours
Topics:
• Configuration Management with Ansible
• IaC with Terraform — provisioning and maintaining cloud infrastructure
• Infrastructure Drift Detection and Auto-healing Systems
• Secrets Management (Vault, AWS Secrets Manager)
Assignments:
• Write a Terraform script to deploy EC2 + S3 setup with Ansible postconfiguration.
Mini Project: Build automated cloud provisioning for a staging environment.

Module 8: Incident Management and On-Call Practices

Duration: 5 Hours
Topics:
• Incident response lifecycle (Detection → Diagnosis → Resolution → Postmortem)
• Root Cause Analysis (RCA) & Postmortem Writing
• Incident Runbooks and Playbooks
• PagerDuty / Opsgenie Integration
• ChatOps with Slack and MS Teams
Assignments:
• Write an incident playbook for application downtime scenario.
Project 4: Incident Simulation Exercise — Simulate outage and perform postmortem review.

Module 9: Reliability Metrics and Capacity Planning

Duration: 5 Hours
Topics:
• Understanding and calculating MTTR, MTTF, MTBF
• Capacity forecasting with historical data
• Load and stress testing (k6 / JMeter)
• Cost Optimization and Reliability Trade-o`s
Assignments:
• Conduct a stress test on a web app and generate a reliability report.

Module 10: Security and Compliance for SRE

Duration: 4 Hours
Topics:
• Security in CI/CD pipelines
• Vulnerability Scanning (Trivy, Clair)
• Least Privilege and IAM Policies
• Compliance Monitoring (CIS Benchmarks, SOC2 readiness)
Assignments:
• Implement IAM-based least privilege roles for DevOps pipeline.

Module 11: SRE Tools Ecosystem

Duration: 3 Hours
Topics:
• Overview of popular SRE tools:
o Prometheus, Grafana, Loki, Jaeger
o Terraform, Ansible
o PagerDuty, OpsGenie
o Kubernetes, Helm
• Choosing the right tools for your environment
Lab: Tool comparison and use-case mapping

Module 12: Capstone Project and Job Preparation

Duration: 4 Hours
Topics:
• Real-time Case Study: Building a Production-Ready Environment
• Resume and Portfolio Building for SRE roles
• 100+ Interview Questions with Hands-on Scenario Practice
Capstone Project:
End-to-End SRE Implementation for a Cloud-Native Web App
Includes:
• CI/CD pipeline setup
• Monitoring (Prometheus + Grafana)
• Automated scaling & healing (Kubernetes)
• Incident simulation and alerting (Opsgenie + Slack)
• Postmortem documentation and dashboard analytics

PROJECTS OVERVIEW

Project Name	Objective	Tools Used
1. Linux Health Monitoring Automation	Automate performance tracking and alerting	Bash, Cron, Mailx
2. Observability Stack Implementation	Build a monitoring and logging stack	Prometheus, Grafana, Loki
3. Kubernetes Reliability Project	Implement self-healing microservices	Docker, K8s, Helm
4. Incident Response Simulation	Handle outage and perform postmortem	PagerDuty, Slack
5. Capstone SRE Project	End-to-end CI/CD, monitoring, incident, and recovery	Jenkins, K8s, Terraform, Grafana

Assignments Summary

• 50+ hands-on exercises covering:
o CI/CD and rollback automation
o Error budget and SLO analysis
o Terraform cloud provisioning
o Kubernetes observability setup
o Incident postmortem writing
o Reliability dashboard creation

Learning Outcomes

By the end of this course, you’ll be able to:
✅ Design and maintain highly reliable, observable, and scalable systems
✅ Define and implement SLIs, SLOs, and SLAs
✅ Automate system operations with Ansible, Terraform, and CI/CD
✅ Build observability pipelines using Prometheus, Grafana, and ELK
✅ Manage incidents and perform postmortems professionally
✅ Deploy, monitor, and scale Kubernetes-based applications
✅ Be ready for roles like SRE, DevOps Engineer, or Cloud Reliability Engineer

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Site Reliability Engineering (SRE) Course Certification With Training In Bangalore

Q: Module 1: SRE Fundamentals and Principles

Duration: 4 Hours Topics: • What is SRE? Di`erence between SRE, DevOps, and SysAdmin • Google SRE Philosophy (SLI, SLO, SLA) • Error Budgets and Reliability Targets • Toil Reduction and Automation Principles • Incident Lifecycle Management Assignments: • Define SLIs, SLOs, and SLAs for a sample web application. • Identify sources of toil in an existing process. Mini Project: Create an SRE charter for a mock organization.

Q: Module 2: Linux System Administration for SREs

Duration: 6 Hours Topics: • Core Linux commands for monitoring & performance • Process management, log analysis, and system health • Automation with Bash scripting • User management, security, and service monitoring Assignments: • Write scripts to check CPU, memory, and disk usage with alerts. Project 1: Linux Server Health Monitoring Automation

Q: Module 3: Version Control and CI/CD Integration

Duration: 5 Hours Topics: • Git and GitHub fundamentals for SRE • CI/CD concepts: Continuous Integration, Deployment & Rollback • Integrating CI/CD pipelines (Jenkins / GitHub Actions / GitLab CI) • Infrastructure as Code (IaC) principles Assignments: • Build a Jenkins pipeline that tests, builds, and deploys a containerized app. Mini Project: Setup CI/CD pipeline with rollback for a web application.

Q: Module 4: Monitoring, Logging, and Observability

Duration: 8 Hours Topics: • Monitoring Concepts: Metrics, Logs, Traces, Events • Tools Overview: Prometheus, Grafana, Loki, ELK Stack • Building Dashboards and Alerting Rules • Blackbox vs Whitebox Monitoring • Log Aggregation and Distributed Tracing (Jaeger/OpenTelemetry) Assignments: • Create a Prometheus + Grafana dashboard for application metrics. Project 2: Observability Stack Implementation — Build full monitoring pipeline with alerts.

Q: Module 5: Cloud Infrastructure Reliability (AWS / Azure / GCP)

Duration: 6 Hours Topics: • Cloud infrastructure basics: Compute, Network, Storage • Load Balancing and Auto Scaling concepts • Availability Zones and High Availability patterns • Reliability and Disaster Recovery Design • SRE best practices for cloud deployment Assignments: • Design a 3-tier fault-tolerant AWS architecture. Mini Project: Deploy and monitor an application across multiple regions.

Q: Module 6: Containerization and Orchestration (Docker & Kubernetes)

Duration: 8 Hours Topics: • Docker fundamentals (images, containers, volumes, networks) • Kubernetes architecture (Pods, ReplicaSets, Deployments, Services) • Managing workloads in production clusters • Kubernetes Monitoring with Prometheus & Grafana • Troubleshooting and Cluster Autoscaling Assignments: • Deploy a multi-container app to Kubernetes and monitor it. Project 3: Kubernetes Reliability Project — Set up an auto-healing Kubernetes cluster.

Q: Module 7: Automation and Infrastructure as Code

Duration: 6 Hours Topics: • Configuration Management with Ansible • IaC with Terraform — provisioning and maintaining cloud infrastructure • Infrastructure Drift Detection and Auto-healing Systems • Secrets Management (Vault, AWS Secrets Manager) Assignments: • Write a Terraform script to deploy EC2 + S3 setup with Ansible postconfiguration. Mini Project: Build automated cloud provisioning for a staging environment.

Q: Module 8: Incident Management and On-Call Practices

Duration: 5 Hours Topics: • Incident response lifecycle (Detection → Diagnosis → Resolution → Postmortem) • Root Cause Analysis (RCA) & Postmortem Writing • Incident Runbooks and Playbooks • PagerDuty / Opsgenie Integration • ChatOps with Slack and MS Teams Assignments: • Write an incident playbook for application downtime scenario. Project 4: Incident Simulation Exercise — Simulate outage and perform postmortem review.

Q: Module 9: Reliability Metrics and Capacity Planning

Duration: 5 Hours Topics: • Understanding and calculating MTTR, MTTF, MTBF • Capacity forecasting with historical data • Load and stress testing (k6 / JMeter) • Cost Optimization and Reliability Trade-o`s Assignments: • Conduct a stress test on a web app and generate a reliability report.

Q: Module 10: Security and Compliance for SRE

Duration: 4 Hours Topics: • Security in CI/CD pipelines • Vulnerability Scanning (Trivy, Clair) • Least Privilege and IAM Policies • Compliance Monitoring (CIS Benchmarks, SOC2 readiness) Assignments: • Implement IAM-based least privilege roles for DevOps pipeline.

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