Course Overview: Advanced Observability and Site Reliability Engineering (SRE)
The Advanced Observability and Site Reliability Engineering (SRE) course is designed for professionals who wish to master the principles and practices of building resilient, scalable, and high-performing IT systems. Focusing on modern environments such as microservices, cloud-native architectures, and distributed systems, this course blends Observability concepts with SRE methodologies to enhance system reliability and streamline incident management. Participants will explore advanced techniques and tools to foster a culture of reliability, proactively manage incidents, and optimize system performance in complex IT infrastructures.

Course Objectives

• Develop a deep understanding of Observability and its critical role in managing modern IT systems.
• Explore the three core pillars of Observability—metrics, logs, and traces—and their implementation in microservices and containerized environments.
• Implement open standards like OpenTelemetry for distributed tracing and telemetry data collection.
• Apply the Observability Maturity Model to assess and improve observability practices within an organization.
• Integrate full-stack observability and distributed tracing into DevSecOps workflows to enhance security and compliance.
• Leverage AI-driven operations (AIOps) for predictive insights, reducing downtime and enabling proactive incident management.
• Implement network and container-level observability, focusing on optimizing performance and ensuring security.
• Understand the role of time-based topology in monitoring distributed systems and its impact on observability.
• Apply DataOps principles to establish clean, efficient observability data pipelines for better insights and decision-making.
• Use SRE and DevOps principles to optimize system performance and reliability through effective observability practices.

Course Outline

Day 1: Introduction to Advanced Observability and SRE

• Overview of Observability and SRE principles in modern IT environments.
• Introduction to the foundational concepts of Observability: the importance of metrics, logs, and traces.
• Key SRE practices for achieving high availability and reliability.

Day 2: Leveraging Open Source Tools for Observability and Service Mapping

• Utilizing open-source tools for observability to monitor and troubleshoot systems effectively.
• Creating and managing service maps to visualize system dependencies and performance bottlenecks.
• Understanding how topology and DataOps principles help build an efficient observability pipeline.

Day 3: AIOps, Security, and Network Observability

• Integrating AIOps into observability practices for proactive monitoring and issue resolution.
• Enhancing security through observability: monitoring, detection, and response in distributed systems.
• Best practices for network observability to ensure optimal performance and security.

Day 4: Incident Management, Chaos Engineering, and SRE Principles

• Effective incident response strategies and the role of chaos engineering in building resilient systems.
• Deep dive into SRE principles, including service level objectives (SLOs), error budgets, and capacity planning.
• Developing a culture of reliability through continuous monitoring and rapid response to incidents.

Day 5: Hands-on Exercises and Certification Preparation

• Practical, hands-on exercises for applying Observability and SRE concepts to real-world scenarios.
• Review of key concepts and practical tools covered throughout the course.
• Preparation for certification exams, including practice tests and discussion of exam objectives.

Conclusion
Upon completion of the Advanced Observability and SRE course, participants will possess the skills needed to drive observability initiatives in complex, distributed IT environments. They will be able to implement proactive incident management strategies, integrate observability into DevSecOps pipelines, and apply AI-driven insights to ensure the reliability, performance, and security of their systems. This course prepares professionals to lead efforts in building resilient, scalable systems that are both highly reliable and efficiently managed.