Description

Course Description:

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.

Key Features of Course Divine:

• Collaboration with E‑Cell IIT Tirupati
• 1:1 Online Mentorship Platform
• Credit-Based Certification
• Live Classes Led by Industry Experts
• Live, Real-World Projects
• 100% Placement Support
• Potential Interview Training
• Resume-Building Activities

Career Opportunities After Site Reliability Engineering (SRE) Certification Course:

• Site Reliability Engineer (SRE)
• DevOps Engineer
• Cloud Reliability Engineer
• Infrastructure Engineer
• Platform Engineer
• Systems Engineer
• Monitoring & Observability Specialist
• Incident Response Engineer
• Automation Engineer
• Reliability Consultant
• Engineering Manager (SRE/DevOps)
• Cloud Operations Specialist

Essential Skills you will DevelopSite Reliability Engineering (SRE) Certification Course:

• System Reliability & Scalability
• SLOs, SLIs, and Error Budgets
• Automation & Infrastructure as Code (IaC)
• Monitoring & Observability
• Incident Management & Troubleshooting
• Cloud Platforms & Reliability
• Chaos Engineering
• CI/CD Pipeline Optimization
• Capacity Planning & Load Balancing
• Security & Compliance in Reliability
• Collaboration & Communication
• Problem-Solving & Critical Thinking
• Performance Tuning & Optimization
• Resilience Engineering Mindset
• Cost Optimization & Efficiency

Toolos Covere:

• Infrastructure as Code (IaC):
• Containerization & Orchestration:
• Monitoring & Observability:
• Logging & Tracing:
• CI/CD & Automation:
• Cloud Platforms & Reliability Tools:
• Collaboration & Incident Management:
• Chaos Engineering Tools:
• Version Control & Collaboration:
• Performance Testing & Load Testing:
• Configuration & Secrets Management:
• Security & Compliance Tools

Syllabus:

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.

Industry Projects:

• Real-Time Monitoring & Alerting System
• Incident Management Simulation
• Infrastructure Automation with IaC
• Kubernetes Reliability Deployment
• Chaos Engineering Experiment
• Cloud Reliability Architecture
• Log Aggregation & Observability Pipeline
• Performance Testing & Capacity Planning

 Who is this program for?

• Software Engineers & Developers
• DevOps & Cloud Engineers
• System & Infrastructure Administrators
• IT Operations & Support Engineers
• Site Reliability Engineers (Beginner to Intermediate)
• Platform Engineers
• Cloud Architects
• Solution Designers
• Engineering Managers & Team Leads
• Students & Fresh Graduates
• Computer Science/IT.
• Technology Consultants & Freelancers

How To Apply:

Mobile: 9100348679

Email: coursedivine@gmail.com