In this video, we cover the latest and greatest news about the scalability and performance of the open source telemetry backends that make up the Grafana LGTM Stack: Grafana Mimir for Prometheus metrics, Grafana Loki for logs, and Grafana Tempo for traces.

Learn about our newest OSS database, Grafana Pyroscope for continuous profiling, which provides insights into resource usage and latency down to the code level. You'll also find out what to expect from Loki 3.0. Finally, find out how to correlate profiles with metrics, logs, and traces for a more holistic view of system health and performance.

Chapters
0:00: Introduction: Hello world!
2:10: The cost of siloed observability at scale
3:30: The "true" definition of observability

5:00 Using the full observability toolkit

6:07 How to find anomalies in metrics trends

9:33 The history of Loki

11:38 Loki 3.0 is coming - here's what to expect

15:07 Query acceleration (flagship feature of Loki 3.0)

20:45 How to find where latency and errors originate across many services with traces

29:55 How to find root causes of issues at the code level

37:20 Profiling: Debugging an incident (Demo)