Event

<p>Observability data isn’t typically blended with the data that your Analysts are working with. These data types are typically stored in entirely separate databases, and interrogated through different tools.</p> <p>But that needn’t be the case. At Grafana Labs we’ve started blending this data together, to answer questions that we or our customers have, such as: - How much revenue did that downtime cost me? - How did latency impact on sales last Black Friday? - Which customers were impacted by that incident, and which ones are the highest priority to follow up with?</p> <p>The FOSS projects we’re combining to get there are: - The LGTM stack (github.com/grafana) for Observability - Cube core (cube.dev/docs/product/getting-started/core) for Semantic Layer - dbt core (github.com/dbt-labs/dbt-core) for transforming SQL data - Grafana itself to blend, visualise and even alert on the end-result</p> <p>During this talk I’ll describe how you too can fit these pieces together and use them to answer similar questions for your own context.</p>