Metrics help users understand how their applications are performing, and if they are healthy. Examples of common metrics include response metrics like latency and error rate, system metrics like cpu and memory consumption, as well as any other type of telemetry desired.
Actions and insights can then be derived from these metrics like setting Service Levels, Error Budgets, as well as triggering alerts.
Metrics are an important tool for all users across the DevOps spectrum. From pure developers who should understand the performance impact of changes they are making, as well as pure operators who are responsible for keeping production services online.
The target workflow includes a few important use cases:
Next up is the ability to support multiple queries per chart, which is an important building block to improve our charting dashboard.
This allows multiple time series to be represented in the same chart, that require different queries to generate. For example showing both the p95 and p99 buckets in the same chart.
Datadog and New Relic are the top two competitors in this space.
Gartner does a review of APM products in their APM Magic Quadrant.
We are working to set up meetings with analysts to gather their feedback.
Not yet, but accepting merge requests to this document.
Not yet, but accepting merge requests to this document.
Not yet, but accepting merge requests to this document.
