However, looking back at the previous articles, we need to remember an important distinction: Prometheus is an Observability tool (including collection, storage, and query) that uses a metric model designed to suit its own needs. OpenTelemetry: Common Groundīoth systems allow you to collect and transform metrics (although Open Telemetry is much more flexible as a transformation pipeline).
#OPENTELEMETRY PROMETHEUS EXPORTER HOW TO#
OpenTelemetry’s promise of creating a unified standard among traces, logs, and metrics with enough flexibility to model and interact with other approaches is tempting many developers.Īfter working with both frameworks, our goal with this blog post is to compare the two, show you how to transform one into the other, and share some thoughts on which may be more appropriate, depending on your use case. While Prometheus has been the current standard for monitoring your systems, OpenTelemetry is quickly gaining ground, especially in the cloud-native landscape, which was traditionally Prometheus’ stronghold. We decided to round off the series by comparing the metrics in both tools because we believe this is a choice you’ll need to make sooner rather than later. First, we deep-dived into the four types of Prometheus metrics then, we examined how metrics work in OpenTelemetry and finally, we are now putting the two together-explaining the differences, similarities, and integration between the metrics in both systems. Welcome to the third and final post of our series about metrics. Guest post originally published on Timescale’s blog by James Blackwood-Sewell
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