We've seen both continuing improvements in and an uptick in adoption of , the monitoring and time series database tool originally developed by Soundcloud. Prometheus primarily supports a pull-based HTTP model but it also supports alerts, making it an active part of your operational toolset. As of this writing, Prometheus 2.0 is in prerelease, and continues to evolve. Prometheus developers have focused their efforts on core time series databases and the variety of metrics available. Grafana has become the dashboard visualization tool of choice for Prometheus users and support for Grafana ships with the tool. Our teams also find that Prometheus monitoring nicely complements the indexing and search capabilities of an Elastic Stack.
SoundCloud has recently open sourced its monitoring and alerting toolkit, . Developed in reaction to difficulties with in its production systems, Prometheus primarily supports a pull-based HTTP model (although a more Graphite-like push model is also supported). It also goes further by supporting alerts, making it an active part of your operational toolset. As of this writing, Prometheus is still only in release 0.15.1 but is evolving rapidly. We¡¯re glad to see the recent product focus on core time-series DB and multidimensional indexing capabilities while allowing for export to a wider variety of front-end graphing tools.
SoundCloud have recently open sourced a Graphite replacement, . Developed as a reaction to difficulties with Graphite in their production systems, Prometheus works differently to Graphite, by primarily supporting a pull-based HTTP model (although a more Graphite-like push model is also supported). It also goes beyond Graphite by being built to support alerting based on captured metrics, so it becomes a much more active part of your operational toolset. Some caution should be used in adopting new technology in the production monitoring space, but early reports are that SoundCloud are happy using it in production, and Docker are also contributing to ongoing development.
