Building scalable OSS observability with Mimir, Loki, Tempo, and Pyroscope | ObservabilityCON 2023
Grafana
@grafanaAbout
Welcome to the official Grafana Labs channel! You’ll find tutorials about the Grafana LGTM Stack (Loki for logs, Grafana for visualizations, Tempo for traces, and Mimir for metrics); demos of the latest features in our fully managed Grafana Cloud platform; highlights from all our major events, and much, much more. Grafana Labs, the company behind the open observability cloud, is founded on the principles of open source, open standards, open ecosystems, and open culture. Grafana Cloud, our fully managed observability platform, is flexible and built for scale, enabling organizations to see, understand, and act on their data so they can move at the speed of their ambitions. Today, more than 25 million users and 7,000+ customers – including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce – rely on Grafana Labs to make their software run better. We are 100% remote with 1,400+ team members across 40+ countries. Learn more at grafana.com.
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Video Description
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)
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