
Advanced Site Reliability Engineering: Mastering Scalability, Automation, and Resilience
This advanced course focuses on deepening the knowledge and skills required to build and maintain highly reliable, scalable, and resilient systems. Participants will explore advanced SRE practices, including automation, chaos engineering, observability, multi-cloud strategies, predictive maintenance with machine learning, and advanced incident management. The course equips learners with practical tools and techniques to manage complex systems and ensure the highest levels of availability and performance.
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Course Duration:
36 hours
Level:
Advanced

Course Objectives
• Master advanced SRE principles and practices for large-scale systems.
• Implement sophisticated SLOs, SLIs, and SLAs for complex services.
• Design and maintain high-availability, fault-tolerant systems.
• Automate infrastructure management and incident response workflows.
• Apply chaos engineering to test system resilience.
• Use machine learning for predictive maintenance and failure prevention.
• Develop strategies for managing multi-cloud and hybrid cloud environments.
• Strengthen security practices in distributed systems.
Prerequisites
• Solid understanding of core SRE principles and practices.
• Familiarity with cloud computing (AWS, GCP, or Azure).
• Experience with infrastructure automation tools like Terraform, Ansible, or Kubernetes.
• Basic knowledge of monitoring, observability, and incident management.
• Experience with software development and system administration.
