As applications move quickly through development cycles we often overlook observability for rapid troubleshooting and bug fixes. Ops teams have similar challenges when platforms don’t provide enough observability context. The pragmatic view is that all systems and applications must have tooling to provide and analyze telemetry data. How can Dev and Ops teams capture adequate samples of telemetry data for deep analysis?

Are metrics enough or can we benefit from tracing data using it to debug issues?
Where should observability be instrumented: in code, in infrastructure, or both?
How can we leverage observability micro-frameworks alongside Zipkin, Jaeger & Kiali to assist with performance debugging?

This session deeply defines a variety of metrics to solidify how applications behave while picking up patterns to add scale and resilience. The speakers will explain telemetry and tracing and demonstrate this functionality at the application code level and within K8s using a service mesh.