Monitoring, Observability & Reliability Engineering (SRE Best Practices)

In an era where software systems are expected to be always available, resilient, and scalable, Site Reliability Engineering (SRE) has emerged as a discipline that bridges software engineering and operations to achieve service excellence. This 5-day enterprise training program focuses on SRE principles, monitoring, and observability — empowering teams to measure, analyze, and enhance system reliability. Participants will learn how to define and monitor SLIs/SLOs/SLAs, automate incident response, and implement observability practices using modern tools such as Prometheus, Grafana, ELK Stack, and OpenTelemetry. The course combines hands-on technical learning with business-aligned reliability strategies, helping enterprises build sustainable and efficient SRE practices.

Objectives of the Training

Understand the principles of Site Reliability Engineering and its alignment with DevOps.
Learn the fundamentals of observability, metrics, logging, and tracing.
Design and monitor SLIs, SLOs, and SLAs for business-critical services.
Gain expertise in using Prometheus, Grafana, and ELK Stack for observability.
Implement incident management, alerting, and postmortem best practices.
Learn automation strategies for reliability, capacity planning, and performance tuning.

Prerequisites

Basic understanding of cloud infrastructure and application deployment.
Familiarity with DevOps, CI/CD pipelines, and system administration.
Knowledge of Linux, containers, and networking concepts is beneficial.

What You Will Learn

SRE foundations and the culture of reliability engineering.
Designing metrics-driven observability systems.
Hands-on setup and configuration of monitoring and logging tools.
Root cause analysis, incident response, and blameless postmortems.
Implementing performance optimization and error budget policies.
Aligning reliability goals with business and customer outcomes.

Target Audience

This course is designed for SREs, DevOps Engineers, Cloud Architects, IT Operations Managers, and System Administrators responsible for ensuring reliability and performance in modern software systems. It is also suitable for technical leads and engineering managers seeking to establish or enhance their organization’s SRE practices.

Detailed 5-Day Curriculum

Day 1 – Foundations of SRE and Observability (6 Hours)

Session 1: Introduction to SRE – History, Culture, and Google’s SRE Framework.
Session 2: Key Concepts – SLIs, SLOs, and SLAs Explained.
Session 3: Observability vs. Monitoring – Understanding the Difference and Integration.
Hands-on: Defining SLIs and SLOs for a Sample Web Application.

Day 2 – Monitoring and Metrics Collection (6 Hours)

Session 1: Monitoring Architecture and Key Metrics – Availability, Latency, and Error Rates.
Session 2: Prometheus Deep Dive – Data Model, Queries, and Alerting Rules.
Session 3: Visualization with Grafana – Building Dashboards and Alerts.
Workshop: Setting Up End-to-End Monitoring with Prometheus and Grafana.

Day 3 – Logging, Tracing, and Advanced Observability (6 Hours)

Session 1: Centralized Logging with ELK Stack (Elasticsearch, Logstash, Kibana).
Session 2: Distributed Tracing with Jaeger and OpenTelemetry.
Session 3: Log Correlation, Root Cause Analysis, and Anomaly Detection.
Hands-on: Integrating Logging and Tracing into a Kubernetes Application.

Day 4 – Reliability Engineering Practices and Automation (6 Hours)

Session 1: Error Budgets and Reliability Metrics – Balancing Speed and Stability.
Session 2: Incident Management, Alert Fatigue Reduction, and Blameless Postmortems.
Session 3: Reliability Automation – Self-Healing Systems and Auto-Remediation.
Workshop: Implementing Error Budget Policies and Automating Alert Responses.

Day 5 – Performance, Capacity, and Capstone Project (6 Hours)

Session 1: Performance Optimization and Capacity Planning Techniques.
Session 2: Capstone Project – Designing an Observability Framework for a Cloud-Native Application.
Session 3: Future of SRE – AIOps, Chaos Engineering, and Resilience-as-a-Service.
Panel Discussion: Building a Culture of Continuous Reliability Across Teams.

Capstone Project

Participants will design and implement a full observability and reliability framework for a simulated cloud-native application. The project includes setting up monitoring, defining SLOs, configuring alerts, and conducting a postmortem analysis after a simulated incident. By the end of the project, participants will demonstrate mastery in aligning reliability engineering with business and operational objectives.

Future Trends in SRE, Observability, and Reliability

The future of reliability engineering lies in intelligent automation, predictive analytics, and adaptive systems. AIOps (Artificial Intelligence for IT Operations) and Machine Learning models are increasingly used for anomaly detection, event correlation, and proactive remediation. Chaos Engineering is also gaining prominence as a practice to validate system resilience. Enterprises that integrate observability, automation, and continuous learning into their reliability programs will achieve unparalleled stability and agility in their digital operations.