This course introduces a range of practices for advancing service reliability engineering through a mixture of automation, organizational ways of working and business alignment. Tailored for those focused on large-scale service scalability and reliability.
After completing this course, students will have learned:
Practical view of how to successfully implement a flourishing SRE culture in your organization.
The underlying principles of SRE and an understanding of what it is not in terms of anti-patterns, and how you become aware of them to avoid them.
The organizational impact of introducing SRE.
Acing the art of SLIs and SLOs in a distributed ecosystem and extending the usage of Error Budgets beyond the normal to innovate and avoid risks.
Building security and resilience by design in a distributed, zero-trust environment.
How do you implement full stack observability, distributed tracing and bring about an Observability-driven development culture?
Curating data using AI to move from reactive to proactive and predictive incident management. Also, how you use DataOps to build clean data lineage.
Why is Platform Engineering so important in building consistency and predictability of SRE culture?
Implementing practical Chaos Engineering.
Major incident response responsibilities for a SRE based on incident command framework, and examples of anatomy of unmanaged incidents.
Perspective of why SRE can be considered as the purest implementation of DevOps
SRE Execution model
Understanding the SRE role and understanding why reliability is everyone’s problem.
SRE success story learnings