Observability and Visualizing Data with Grafana

The Cloudcast

Ronald McCollum (@RonaldMcCollam, Solutions Engineering @GrafanaLabs) talks about updates in the observability space and learning more about Grafana and data visualization.

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SHOW NOTES:

• Grafana (homepage)
• Getting Started with Grafana Book by Ronald

Topic 1 - Welcome to the show. Before diving into today’s discussion, tell us a little about your background.
Topic 2 - We last talked about Grafana back in 2019 and 2020. Observability continues to be a hot topic, how are you seeing the open-source community and open-source tools evolve in this space?
Topic 3 - We always hear about Grafana as a visualization tool. Grafana AND something (Grafana and Prometheus, Grafana and (insert logging/observability tool here). Is that still a fair assessment? Where does Grafana fit in a modern cloud-native observability stack these days?
Topic 4 - When you are speaking to folks out there, where does the data visualization story resonate the most in the organization, and does it become at times political and cultural (meaning cultural changes need to happen)? There can be an ROI/Business case to be made; developers integrations that will need to happen, SRE operations changes, etc. How do you get something that likely spans many different parts of the organization on board?
Topic 5 - Anytime I think about observability I think in two stages. Identification of the problem and resolution of the problem. Some tools address one or the other, and some attempt to do both. Where does Grafana fit on this continuum?
Topic 6 - I have to ask the AI question. How has AI changed or in your opinion will change observability and visualization in the near future?
Topic 7 - You’ve literally written the book on Grafana so this is a softball question. For those who are interested, how would you recommend they get started with Grafana
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章

1. Observability and Visualizing Data with Grafana (00:00:00)

2. [Ad] Out-of-the-box insights from digital leaders (00:16:25)

3. (Cont.) Observability and Visualizing Data with Grafana (00:17:03)