Kubernetes – Observability Engineering


Modern and cutting edge strategies to address the challenges with Kubernetes, as it is a complexity with its control plane and the container runtime layer and the Observability of its health, performance, stability and reliability in other words the real time golden signals and distributed tracing.

Session Outline
Discuss the below various latest and cutting edge strategies for Implementing Observability for Kubernetes

Implementing Cluster Health and readiness checks
Distributed Systems Tracing with Kubernetes
Collecting Kubernetes control plane and cluster Logs
Predictive analysis with Kubernetes Logs
Telemetry setup for Kubernetes Observability
SLO’s and Automated action against Observability metrics

Background Knowledge
Basics on Containers and MicroServices


Ravi Kumar Buragapu is a Sr. Engineering Leader - Reliability and Observability Engineering at Adobe Systems Inc.
Ravi is a strategic thinker and technology leader with a strong background in Artificial Intelligence, Machine Learning, Systems Engineering, Site Reliability Engineering, Infrastructure Architecture, and DevOps Engineering.
He is heading Platform and Reliability Engineering Center Of Excellence in building cutting edge strategies for End-2-End Resiliency of applications and Infrastructure.

Open Data Science




Open Data Science
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Cambridge, MA 02142

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