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This hands-on Site Reliability Engineering tutorial takes you from absolute beginner to your first working project in SRE. Follow each step sequentially — by the end, you will have practical skills and a foundation to build upon for job-ready proficiency.
What you will build: A complete working project using Site Reliability Engineering tools and best practices.
Prerequisites
Linux command line, basic networking, one programming language (Python/Go/Bash)
What You Will Learn
- Core concepts and terminology of SRE
- Setting up your development/work environment from scratch
- Hands-on implementation following industry best practices
- Building a real project step-by-step
- Troubleshooting common issues beginners face
- Next steps for advancing toward job-ready skills
Site Reliability Engineering Tutorial: Step-by-Step
Step 1: Define SLOs for Your Service
Start by identifying your service’s critical user journeys (e.g., login, checkout, search). For each journey, define an SLI (measurable indicator) — like request latency at p99 or success rate. Set an SLO target (e.g., 99.9% of requests complete in <300ms). Calculate the error budget: 0.1% = ~43 minutes of allowed downtime per month. Document this in a one-page SLO document.
Step 2: Set Up Prometheus Monitoring
Deploy Prometheus using Helm: helm install prometheus prometheus-community/kube-prometheus-stack. This installs Prometheus, Grafana, Alertmanager, and node exporters. Instrument your application with client libraries to expose custom metrics (request count, latency histograms, error rates). Verify metrics at /metrics endpoint and in Prometheus targets UI.
Step 3: Build Grafana Dashboards for Golden Signals
Create a dashboard with four panels for the Google SRE golden signals: Latency (histogram quantiles — p50, p95, p99), Traffic (requests per second), Errors (error rate as percentage), Saturation (CPU, memory, disk utilisation). Use PromQL queries. Add SLO target lines as thresholds. This single dashboard tells you if your service is healthy at a glance.
Step 4: Configure Alert Rules Based on Burn Rate
Instead of threshold alerts (CPU > 80%), use burn-rate alerting. Create two windows: fast burn (2% of monthly error budget consumed in 1 hour → page immediately) and slow burn (5% consumed in 6 hours → create ticket). Write PromQL recording rules for error budget consumption rate. This reduces alert fatigue by only paging for real SLO threats.
Step 5: Deploy a Service on Kubernetes with Health Checks
Write a Kubernetes deployment with: readiness probe (is the pod ready to receive traffic?), liveness probe (should Kubernetes restart this pod?), resource requests/limits, pod disruption budget (min available during maintenance), and horizontal pod autoscaler. These configurations enable self-healing and automatic scaling — core SRE principles implemented in infrastructure.
Step 6: Implement Infrastructure as Code with Terraform
Define your infrastructure in Terraform HCL files: provider configuration, resource definitions (VMs, networks, load balancers), variables for environment differences, outputs for reference. Use terraform plan to preview changes and terraform apply to deploy. Store state remotely (S3/GCS). This makes infrastructure reproducible, version-controlled, and reviewable.
Step 7: Run an Incident Simulation (Game Day)
Plan a controlled failure injection: kill a pod, add network latency, or exhaust disk space. Define the hypothesis (‘our auto-scaling handles 3x traffic’). Execute during business hours with the team ready. Observe: did monitoring detect it? Did alerts fire? Did self-healing activate? Did the runbook work? Document findings in a post-mortem format with action items.
Step 8: Write a Blameless Post-Mortem
After any incident (real or simulated), write a post-mortem: Timeline (what happened when), Impact (users affected, duration, data loss), Root Cause (technical explanation), Contributing Factors (what made it worse), Action Items (preventive measures with owners and deadlines). Share widely. Focus on systemic improvements, not individual blame. This builds organizational learning.
Common Mistakes Beginners Make
- Skipping the fundamentals: Rushing to advanced topics without understanding core concepts leads to confusion later
- Not practising hands-on: Reading without doing builds false confidence — type every command yourself
- Copy-pasting without understanding: Always understand WHY something works, not just that it works
- Not reading error messages: Error messages tell you exactly what went wrong — read them carefully
- Working in isolation: Join communities, ask questions, and learn from others’ experiences
What to Learn Next
After completing this tutorial, you have a solid foundation. To become job-ready, you need:
- Deeper understanding of advanced patterns and production scenarios
- 2–3 portfolio projects demonstrating real-world application
- Certification preparation for industry-recognised credentials
- Interview preparation with mock interviews and system design practice
Accelerate Your Learning with Structured Training
Site Reliability Engineering Training at SkilBrill covers everything in this tutorial and goes significantly deeper — with live instructor guidance, production-style labs, capstone projects, and placement support. The structured programme gets you job-ready faster than self-learning alone.
Available in classroom (Chennai), live online, and hybrid modes. Call +91 8610964691 or WhatsApp to discuss your goals and enrol.
