The Site Reliability Engineering (SRE) Certification Course is designed to equip professionals with the skills and methodologies needed to build, scale, and maintain highly reliable and resilient systems. This program bridges the gap between software development and IT operations by focusing on automation, monitoring, incident management, and performance optimization. Through a blend of theoretical concepts and hands-on labs, learners will master modern practices such as service-level objectives (SLOs), service-level indicators (SLIs), error budgets, and chaos engineering. By completing this course, participants will be prepared to implement Google’s SRE principles, streamline DevOps workflows, and ensure system reliability at scale, making them valuable assets in today’s cloud-driven organizations.
Module 1: Introduction to Site Reliability Engineering History & evolution of SRE (Google’s SRE model) SRE vs. DevOps: similarities & differences Core principles: reliability, automation, scalability Roles & responsibilities of an SRE.
Module 2: Service-Level Objectives & Error Budgets Understanding SLAs, SLOs, and SLIs Defining and measuring reliability targets Error budgets: balancing reliability with innovation Real-world case studies.
Module 3: Monitoring & Observability Metrics, logging, and tracing fundamentals Implementing observability frameworks Tools: Prometheus, Grafana, ELK Stack, Datadog Building dashboards & alerting systems.
Module 4: Incident Management & Postmortems Incident detection, escalation, and on-call rotations Root cause analysis & troubleshooting Writing effective postmortems Tools: PagerDuty, Opsgenie, ServiceNow.
Module 5: Automation & Infrastructure as Code (IaC) Automating infrastructure provisioning IaC with Terraform, Ansible, Puppet, and Chef Automating routine operational tasks CI/CD integration with SRE.
Module 6: Cloud-Native Reliability Designing reliable cloud architectures Multi-cloud & hybrid cloud reliability practices Cloud monitoring: AWS CloudWatch, Azure Monitor, GCP Stackdriver Scaling and failover strategies.
Module 7: Containers & Orchestration for Reliability Docker fundamentals for reliability Kubernetes for workload orchestration & scaling Service mesh for traffic reliability (Istio, Linkerd) Helm for automated deployments.
Module 8: Chaos Engineering & Resilience Testing Introduction to chaos engineering principles Tools: Chaos Monkey, Gremlin, LitmusChaos Failure injection & system stress testing Building fault-tolerant systems.
Module 9: Performance Engineering & Capacity Planning Performance testing tools (JMeter, Locust, k6) Load balancing & traffic routing Scalability patterns & resource optimizationCost optimization in cloud reliability.
Module 10: Security, Compliance & Future of SRE Reliability and security integration (DevSecOps + SRE) Secrets management (Vault, Consul, etcd) Compliance standards (ISO, GDPR, HIPAA) Emerging trends: AI-driven SRE, predictive monitoring.
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Email: coursedivine@gmail.com
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