Site Reliability Engineering Certified Professional (SRECP)

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₹ 49,999
[Fixed — No Negotiations]
4.8/5Rating
100 hrs4 Hrs/Day
3500+Participants
25+SRE Tools

Site Reliability Engineering Certified Professional Training

The Site Reliability Engineering Certified Professional (SRECP) certification is designed for infrastructure engineers, DevOps practitioners, operations leads, and software engineers who want to master the discipline of SRE — building and operating highly reliable, scalable, and observable systems. This 100-hour program covers the complete SRE body of knowledge: defining and measuring SLOs, SLAs, and SLIs; managing error budgets to balance reliability and velocity; structured incident management and on-call practices; blameless postmortem culture; toil reduction through automation; chaos engineering with Gremlin and LitmusChaos; and capacity planning and performance engineering. Participants gain hands-on expertise with 25+ SRE tools including Prometheus, Grafana, OpenTelemetry, PagerDuty, Gremlin, and LitmusChaos.

What is the SRECP Certification?

The Site Reliability Engineering Certified Professional (SRECP) certification validates an individual's ability to apply SRE principles to build, operate, and improve the reliability of production systems. Originating from Google's pioneering SRE model, modern SRE practice has evolved into a discipline that spans observability engineering, reliability goal-setting, systematic incident response, chaos engineering for resilience testing, and data-driven capacity planning. SRECP holders demonstrate fluency in the full SRE toolkit — from writing PromQL queries and configuring Grafana dashboards to running GameDays with chaos experiments and performing postmortems that drive lasting systemic improvements. The certification is recognized by engineering organizations worldwide as a mark of reliability engineering excellence.

Course Feature

  • Comprehensive SRE Curriculum: Covers SRE culture, SLOs, error budgets, observability, incident management, postmortems, toil reduction, chaos engineering, and capacity planning.
  • Hands-On Labs: Practical labs with Prometheus, Grafana, OpenTelemetry, PagerDuty, Gremlin, LitmusChaos, and capacity modeling tools in production-like environments.
  • Expert-Led Training: Instructors with production SRE experience at scale deliver both Google SRE methodology and modern enterprise SRE implementation patterns.
  • Live Project Work: End-to-end SRE implementation projects — from defining SLOs and building observability stacks to running chaos experiments and conducting postmortems.
  • Case Studies: Real-world SRE implementations from large-scale web services, financial platforms, and cloud-native companies demonstrating measurable reliability improvements.
  • Certification Exam Preparation: Mock exams, scenario-based practice, and study guides to prepare for the SRECP examination with confidence.
  • Flexible Learning Options: Online and in-person formats with self-paced video access for review and lab replay between live sessions.
  • Community Access: A professional network of SRE practitioners for ongoing support, incident pattern sharing, and career development discussions.

Training Objectives

  • Master SRE Principles: Understand the SRE organizational model, shared ownership of reliability between Dev and Ops, and the SRE book's core practices.
  • Define SLOs/SLAs/SLIs: Write meaningful SLIs and SLOs for user-facing and internal services, and translate them into error budgets that drive prioritization decisions.
  • Monitoring & Observability: Configure Prometheus for metrics collection, design Grafana dashboards for SLO tracking, and implement distributed tracing with OpenTelemetry.
  • Incident Management: Establish incident response processes with clear severity levels, escalation paths, on-call rotation management, and tooling with PagerDuty.
  • Postmortem Culture: Facilitate blameless postmortems, write effective incident reviews, and implement action item tracking to drive systemic reliability improvements.
  • Toil Reduction & Automation: Identify and quantify operational toil, automate repetitive tasks, and measure the impact of automation on engineering capacity.
  • Chaos Engineering: Design and run chaos experiments using Gremlin and LitmusChaos to proactively identify weaknesses in production systems before incidents occur.
  • Capacity Planning: Apply demand forecasting, load testing, and resource modeling to make data-driven capacity decisions for both cost efficiency and reliability.
  • Performance Engineering: Profile system bottlenecks, optimize latency and throughput, and implement performance budgets aligned to SLOs.
  • Exam Readiness: Complete structured mock exams and scenario-based exercises to pass the SRECP certification exam.
Target Audience

This program is designed for infrastructure engineers, DevOps engineers, platform engineers, and software engineers who manage or contribute to production system reliability. It is also ideal for operations leads transitioning to SRE roles, incident commanders seeking structured methodology, and managers who oversee on-call teams and reliability programs. Prior experience with Linux, networking basics, and any monitoring tool is recommended. No prior SRE experience is required.

Training Methodology
  • Instructor-led live sessions covering SRE theory, Google SRE principles, and modern enterprise SRE implementation patterns
  • Hands-on Prometheus and Grafana labs: configuring scrapers, writing PromQL queries, and building SLO dashboards
  • OpenTelemetry lab: instrumenting a sample application for traces, metrics, and logs with collector pipeline configuration
  • Incident management simulation: tabletop exercises with PagerDuty routing, escalation, and postmortem facilitation
  • Chaos engineering lab: running Gremlin attacks and LitmusChaos experiments in a Kubernetes sandbox environment
  • Self-paced video tutorials and downloadable lab guides for all 25+ tools covered
  • Capstone project: full SRE implementation for a sample production service including SLO definition, observability stack, on-call runbooks, and chaos testing plan
Training Materials
  • Detailed course slides and eBooks covering all 9 SRECP modules with annotations and diagrams
  • Prometheus configuration examples, PromQL cheat sheet, and recording rule templates
  • Grafana dashboard JSON templates for SLO tracking, error budget burn rate, and latency distribution
  • OpenTelemetry collector configuration examples and instrumentation code snippets
  • Incident management runbook templates, severity classification matrices, and on-call schedule guides
  • Postmortem document templates and facilitation guides for blameless reviews
  • Gremlin scenario playbooks and LitmusChaos experiment YAML definitions
  • Capacity planning worksheet templates and load testing guides with k6 and Locust
  • Mock exams and scenario bank aligned to SRECP certification exam objectives

Agenda of SRECP — Site Reliability Engineering Certified Professional

  • What is SRE? Google's Origin Story and Modern Enterprise Adoption
  • SRE vs. DevOps vs. Platform Engineering: Roles and Responsibilities
  • The SRE Organizational Model: Embedded vs. Centralized SRE Teams
  • SRE Book Deep Dive: Core Chapters and Key Principles for Practitioners
  • Hands-On: SRE Maturity Assessment and Roadmap for a Sample Organization

  • Service Level Indicators: Choosing the Right Metrics for User Happiness
  • Service Level Objectives: Setting Meaningful Targets and Avoiding the 100% Trap
  • Service Level Agreements: Legal and Business Implications of Reliability Commitments
  • Error Budgets: Calculating, Tracking, and Using Error Budgets to Drive Decisions
  • Hands-On: Writing SLIs and SLOs for a Web Service and Computing Its Error Budget

  • The Three Pillars of Observability: Metrics, Logs, and Traces
  • Prometheus Architecture: Scrapers, Exporters, AlertManager, and Recording Rules
  • PromQL: Writing Queries for Latency, Error Rate, Saturation, and SLO Burn Rate
  • Grafana: Building SLO Dashboards, Heatmaps, and Alerting Rules
  • OpenTelemetry: Instrumenting Applications for Distributed Tracing with Jaeger or Tempo
  • Hands-On: Deploying a Full Observability Stack and Building an SLO Dashboard

  • Incident Lifecycle: Detection, Triage, Mitigation, Resolution, and Review
  • Severity Classification: P0–P4 Frameworks and Escalation Matrix Design
  • On-Call Best Practices: Rotation Design, Alert Quality, and Reducing Alert Fatigue
  • PagerDuty Configuration: Services, Escalation Policies, and On-Call Schedules
  • Hands-On: Simulating an Incident with PagerDuty Alerting, Runbook Execution, and Status Page Updates

  • Blameless Culture: Psychological Safety and Moving from Blame to Learning
  • Postmortem Structure: Timeline, Root Cause Analysis, Impact Assessment, and Action Items
  • Five Whys and Fishbone Diagrams for Systematic Root Cause Analysis
  • Tracking Action Items: Ownership, Deadlines, and Follow-Through in Postmortems
  • Hands-On: Facilitating a Blameless Postmortem for a Sample Production Incident

  • Defining Toil: Characteristics, Sources, and Impact on Engineering Capacity
  • Measuring Toil: Quantifying Hours and Business Cost of Repetitive Operational Work
  • Automation Strategies: Runbook Automation, Self-Healing Systems, and Operator Patterns
  • SRE Capacity Rule: Keeping Toil Below 50% and Engineering Time Above Minimum Threshold
  • Hands-On: Identifying and Automating a Toil-Heavy Operational Task with Ansible and Python

  • Chaos Engineering Principles: Hypothesis-Driven Experiments and Blast Radius Control
  • Gremlin Platform: Attack Types, Scenarios, Scheduling, and Result Analysis
  • LitmusChaos: ChaosEngine, ChaosExperiments, and Integration with Kubernetes Workflows
  • GameDay Design: Planning, Executing, and Reviewing Resilience Testing Events
  • Hands-On: Running a CPU Spike and Network Latency Experiment with Gremlin and a Pod Delete Chaos Experiment with LitmusChaos

  • Capacity Planning Fundamentals: Demand Forecasting, Resource Modeling, and Lead Times
  • Load Testing with k6 and Locust: Writing Scripts, Running Tests, and Analyzing Results
  • Bottleneck Analysis: CPU, Memory, I/O, and Network Saturation Diagnosis
  • Performance Budgets: Defining and Enforcing Latency and Throughput Targets Aligned to SLOs
  • Hands-On: Conducting a Load Test, Identifying a Bottleneck, and Generating a Capacity Plan

  • SRECP Exam Format: Question Types, Scoring, and Time Management Strategies
  • Scenario Review: High-Impact SRE Scenarios Commonly Tested in Certification Exams
  • Mock Exam Session 1: Full Practice Exam with Answer Discussion
  • Mock Exam Session 2: Second Full Practice Exam with Focus Areas for Improvement
  • Final Q&A and Certification Guidance from Instructor

PROJECT

Participants complete 3 real-time capstone projects: (1) building a full SLO framework with Prometheus, Grafana error budget dashboards, and AlertManager burn rate alerts for a sample web service; (2) designing and executing a chaos engineering GameDay with Gremlin and LitmusChaos, including pre-game hypothesis documentation and post-game review; (3) conducting a capacity planning exercise with k6 load testing, bottleneck analysis, and a resource scaling recommendation. All projects are scoped to simulate real production SRE work.

INTERVIEW

As part of this program, you will receive a complete SRE interview preparation kit — crafted from 200+ years of combined industry experience and insights from thousands of DevOpsSupport learners worldwide. The kit covers SLO definition exercises, incident response scenario questions, postmortem facilitation exercises, system design questions for highly reliable distributed systems, and behavioral interview guides for SRE, Platform Engineer, and Infrastructure Lead roles.

Our Course in Comparison

FeaturesDevOpsSupportOthers
Full SRE Lifecycle Coverage (SLOs to Chaos Engineering)
Hands-On Labs: Prometheus, Grafana, OTel, Gremlin, LitmusChaos
Incident Management Simulation with PagerDuty
Postmortem Facilitation Practice
Lifetime LMS Access
25+ SRE Tools Coverage
Interview Kit (Q&A)
Training Notes & Runbook Templates
Chaos Engineering GameDay Design
Capacity Planning & Performance Engineering Module

Frequently Asked Questions

The Site Reliability Engineering Certified Professional (SRECP) validates expertise in SRE principles and practices — including SLO definition, error budget management, observability, incident management, blameless postmortems, chaos engineering, and capacity planning for production systems.

Ideal for infrastructure engineers, DevOps engineers, platform engineers, and software engineers who manage or contribute to production reliability. Operations leads transitioning to SRE roles and incident commanders seeking structured methodology will also benefit greatly.

The course covers Prometheus, Grafana, OpenTelemetry, Jaeger, PagerDuty, Gremlin, LitmusChaos, k6, Locust, Ansible, and various SRE process tooling — over 25 tools in total across observability, incident management, chaos engineering, and capacity planning.

The program spans 100 hours of structured training, typically delivered at 4 hours per day over 25 days. Flexible scheduling and self-paced video access are available for learners balancing training with active on-call rotations and work commitments.

Participants should have Linux administration proficiency, basic networking knowledge, and experience with any monitoring tool. Familiarity with Docker and Kubernetes is beneficial. Prior SRE experience is not required — the program covers SRE from first principles to advanced implementation.

The exam includes multiple-choice questions, scenario-based questions, and practical exercises covering all 9 modules. Candidates are assessed on SLO design, PromQL query writing, incident response decision-making, chaos experiment design, and capacity planning analysis.

The certification is valid for 3 years. As SRE tooling and practices evolve — particularly in observability and chaos engineering — recertification ensures your expertise remains current. A recertification exam is available at a reduced cost.

SRECP supports roles including Site Reliability Engineer, Platform Engineer, Infrastructure Lead, DevOps Engineer, Observability Engineer, On-Call Engineer, and Reliability Architect. It is increasingly required for senior SRE positions at technology companies and enterprises with critical availability requirements.

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