Vikram Venkataraman

At scale, container environments generate metrics and logs that increase both cost and noise for engineering teams. This session explores architectural strategies for managing observability data across containerized workloads using OpenTelemetry.

Your Amazon ECS deployment just failed: new tasks will not launch, traffic is not shifting, and your team needs to ship an update now. In this code talk, we live-troubleshoot real failures step by step, showing how to diagnose the root cause, recover the service, and build guardrails that prevent repeat failures.

Join this session to learn about and see examples of using the OpenTelemetry SDK and the AWS Distro for OpenTelemetry (ADOT) Collector to collect signals from a variety of environments.

The richness of open-source monitoring tools can be overwhelming. This session is intended to help you identify the best monitoring tools by three key dimensions: metrics, logs, and traces.

Designing highly available applications can be a long journey with a great deal of trial and error. Being able to ask questions about your system’s health in unpredictable ways and capture small signals of performance degradation and poor end user experience can help you succeed on this path.

Observability can be hard to achieve due to sheer system complexity. Whether in data centers or in the cloud, to achieve operational excellence and meet business objectives, you need to understand how your systems are performing.