Reducing MTTR with Grafana’s observability stack: Prometheus, Loki, and Tempo
Reducing MTTR with Grafana’s observability stack: Prometheus, Loki, and Tempo
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Reducing MTTR with Grafana’s observability stack: Prometheus, Loki, and Tempo
Reducing MTTR with Grafana’s observability stack: Prometheus, Loki, and Tempo
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While Grafana is well-known for its interoperability with a wide range of data sources and tools, we also offer an opinionated observability stack based on Prometheus, Grafana Loki, and Grafana Tempo. This webinar will demonstrate how working with Prometheus for metrics, Loki for logs, and Tempo for traces together can help you reduce MTTR, understand what is happening in the environment, and be able to not only resolve the immediate issue, but also address the underlying issue so that it does not happen again.
During this webinar you’ll learn about:
- Metrics - Prometheus
- Logs - Loki
- Traces - Tempo
We will show how, within Grafana, you can see an issue first by using metrics, and then quickly look at the logs without having to manually do anything. Finally, you can seamlessly move on to traces to further identify the issue.
Patrick Brennan
Principal Solutions Engineer at Grafana Labs
Patrick Brennan is a Principal Solutions Engineer at Grafana Labs. Prior to joining Grafana, he worked at a number of technology companies including Gremlin, VERITAS Software, and EMC. Patrick has also worked in financial services companies such as JPMorgan Chase, Lazard Frères & Co., and Prudential Financial, where he supported trading and asset management systems.