At the end of the course, the following learning objectives are expected to be achieved:
1. Practical view of how to successfully implement a flourishing Observability culture in your organization
2. The underlying principles of Observability and an understanding why monitoring on its own will not provide the required results in microservices based containerized environments
3. Understanding the three pillars of Observability
4. Adopting open Telemetry standards helps achieve innovation and distributed tracing in a seamless manner
5. Observability Maturity Model and the measurement of practical observability
6. Implementing full stack Observability and distributed tracing will enable a DevSecOps culture
7. Curating Observability using AI to move from reactive to proactive and predictive incident management. Also, how you use DataOps to build a clean data lineage of observable data.
8. Implementing Network, Container level Observability and why is security a first class citizen in building the Observability culture
9. What is Time based Topology, and how does it add value in Observability for a distributed environment
10. The Data paradox,and how we address data issues using a systematic approach (DataOps) to build a clean Observability pipeline
11. How do we feedforward DevSecOps wisdom into Observability
12. Observability practices for DevSecOps and SRE
