Metrics-Driven Reliability
Learn to define SLIs, SLOs, and error budgets that turn reliability into a measurable, actionable engineering practice.
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Site Reliability Engineer
DEVOPS & LINUX ENGINEERING · ADVANCED LEVEL
Site Reliability Engineering (SRE) Bootcamp
An intensive 2-month, hands-on SRE program that teaches you how to measure, monitor, and defend production reliability in modern cloud-native and Kubernetes environments.
Advanced8 weeks48 hoursOnline
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COURSE HIGHLIGHTS
Real Incident Simulations
Practice alerting, RCA, and blameless postmortems through realistic production incident scenarios, not just theory.
Kubernetes-Native Reliability
Apply advanced Kubernetes patterns like PDBs, affinity rules, and progressive rollouts to build resilient production systems.
YOUR LEVEL
BeginnerIntermediateAdvancedExpert
WHAT YOU WILL BE ABLE TO DO
The skills you will have by the end of this course.
- Define and calculate SLIs, SLOs, SLAs, and error budgets for production services
- Build and interpret observability stacks using Prometheus, Grafana, logs, and traces
- Design effective alerting strategies and manage the full incident lifecycle
- Apply Kubernetes reliability patterns including probes, autoscaling, PDBs, and deployment strategies
- Implement GitOps-based, safe software delivery with rollback and progressive delivery techniques
- Plan disaster recovery strategies and execute chaos engineering and load testing exercises
- Lead root cause analysis and produce blameless postmortems and runbooks
- Leverage AI-assisted tools for troubleshooting, RCA, and incident response
CONDENSED SYLLABUS
See the structure without reading a textbook.
Modules stay collapsed for quick scanning. Open any module to inspect its topics.
01Introduction to Site Reliability Engineering6 lessons+
What is SRE? Evolution from Operations to DevOps to SRE
DevOps vs SRE and Reliability Engineering Principles
Production Mindset and Service Lifecycle
Shared Responsibility Model, Toil, and Automation
SRE Roles and Responsibilities
Lab: Calculate Availability and Identify Toil
02Measuring Service Reliability6 lessons+
Why Reliability Needs Metrics: Availability vs Reliability
Service Level Indicators (SLI) and Objectives (SLO)
Service Level Agreements (SLA) and Error Budgets
MTTD, MTTR, and MTBF
DORA Metrics for Delivery Performance
Lab: Define SLOs and Calculate Error Budgets
03Monitoring & Observability6 lessons+
Monitoring vs Observability and the Three Pillars
Metrics, Logs, and Traces Fundamentals
Golden Signals, RED Method, and USE Method
Metrics Collection with Prometheus
Visualizing System Health with Grafana and Distributed Tracing
Lab: Analyze Dashboards and Detect Bottlenecks
04Alerting & Incident Management6 lessons+
Alerting Principles and Prometheus Alertmanager
Alert Fatigue, Severity, and Prioritization
Incident Lifecycle and Response Process
On-call Best Practices and Blameless Postmortems
Root Cause Analysis and Writing Effective Runbooks
Lab: Simulate Incidents, Perform RCA, and Write a Postmortem
05Kubernetes Reliability Engineering6 lessons+
Self-Healing, Liveness, Readiness, and Startup Probes
Resource Requests, Limits, and Horizontal/Vertical Autoscaling
Pod Disruption Budgets and Scheduling for Reliability
Node Affinity, Anti-Affinity, and Topology Spread Constraints
Reliable Deployment Strategies: Rolling, Blue-Green, Canary
Lab: Troubleshoot Pods, Simulate Node Failure, and Test HPA
06Reliable Software Delivery6 lessons+
CI/CD Reliability and GitOps Principles
Progressive Delivery and Safe Deployment Practices
Rollback vs Roll-forward and Release Management
Configuration and Secret Management
Change Management, Deployment Verification, and Supply Chain Security
Lab: GitOps Sync and Safe Production Release Simulation
07Production Resilience & Disaster Recovery6 lessons+
Disaster Recovery Fundamentals and High Availability Architecture
Backup & Restore, RTO, and RPO
Single Point of Failure and Capacity Planning Review
Load Testing Concepts and Chaos Engineering
Recovery Strategies: Active-Active, Active-Passive, Warm Standby, Pilot Light
Lab: Restore from Backup and Run Chaos Testing Scenarios
08Modern SRE Operations & Production Scenarios6 lessons+
End-to-End Troubleshooting Methodology
Common Production Failures and Case Studies
Cost vs Reliability Trade-offs
AI for SRE: AIOps, AI-assisted Troubleshooting and RCA
SRE Career Roadmap and Continuous Improvement
Capstone Lab: Full Production Incident Simulation
UPCOMING GROUPS
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STARTS
To be announced
Online- Schedule
- To be announced
- Format
- Online
- Duration
- 8 weeks · 48 hours
- Language
- Confirm with advisor
“The program helped me connect individual skills into the way real teams design, build and deliver software.”
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Explore graduate resultsAPPLICATION THROUGH INGRESS PORTAL
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SELECTED TRAININGSite Reliability Engineering (SRE) BootcampOnline
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