How Heroku Uses Metrics Within Honeycomb
Sarah Sherbondy and Jeremy Morrell of Heroku join Honeycomb for a conversation on how their team is taking advantage of Honeycomb Metrics. Heroku engineers are searching, visualizing, and comparing raw metrics data alongside observability insights, all in one place. Some key takeaways: - How Heroku instruments metrics about their Otel agents alongside wide events for analysis in Honeycomb - Strategies for monitoring the intersection of high cardinality user/host IDs and aggregate infrastructure data - How Metrics serves as a bridge to help teams across Heroku adopt and find more success in Honeycomb
Metrics in Honeycomb
Debugging performance issues can be diﬃcult without a view of systems data along with your application data. Honeycomb Metrics enables you to explore and correlate metric time series data alongside your event data.
Observability is great for applications, but metrics can be useful for debugging system issues. See how those two debugging workflows integrate in Honeycomb.
Building Observability Metrics With OpenTelemetry
OpenTelemetry provided trace data stability earlier this year. Now, project contributors are enhancing metrics support in OpenTelemetry. This means the OpenTelemetry data model and components, including the Collector and language libraries (APIs and SDKs), are being extended. Full interoperability with Prometheus, a core pillar of metrics support with OpenTelemetry, is also in development. Join in for this session to learn about what we’re building to provide full metrics support and ensure interoperability with Prometheus metrics.