Prometheus
44 likes
Prometheus is an open-source systems monitoring and alerting toolkit originally built at SoundCloud. Since its inception in 2012, many companies and organizations have adopted Prometheus, and the project has a very active developer and user community.
Cost / License
- Free
- Open Source
Platforms
- Mac
- Windows
- Linux
- Cloudron
- Docker Hub
Features
Highlights All activities
Prometheus News & Activities
Recent News
- Fla published news article about Swift (programming language)
Recent activities
- humble-advisor liked Prometheus
PVRLabs added Prometheus as alternative to StatLite
Praveen-K-B added Prometheus as alternative to Parseable- Peter added Prometheus as alternative to Keel Infranexis
- Fripix liked Prometheus
- Hamze Zare commented on Prometheus
Runs behind Grafana in our monitoring stack, scraping node-exporter and cAdvisor across our containers. The pull-based model is simple to reason about and PromQL is genuinely powerful once it clicks, though the query syntax has a real learning curve compared to just writing SQL. One thing that caught us early: default retention and scrape intervals can eat disk faster than expected on a small VPS if you're not watching cardinality - worth tuning that before it becomes a problem rather than...
- Hamze Zare liked Prometheus
Layer-IT added Prometheus as alternative to LogPulse.io- tardyjeromejt-sys added Prometheus as alternative to LuxkernOS
frenkyjuss added Prometheus as alternative to StillOnline
xenmaster's devops systems
This list is inspired by the Kamran Ahmed's "2020 Developer Roadmap," now at roadmap.sh
Without further ado, my take on the most important technologies to learn for dev-ops in 2020!
OpenSource
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Comments and Reviews
Runs behind Grafana in our monitoring stack, scraping node-exporter and cAdvisor across our containers. The pull-based model is simple to reason about and PromQL is genuinely powerful once it clicks, though the query syntax has a real learning curve compared to just writing SQL. One thing that caught us early: default retention and scrape intervals can eat disk faster than expected on a small VPS if you're not watching cardinality - worth tuning that before it becomes a problem rather than after.
Simple. Fast. Scales fantastically. Lots of support. Not good for keeping historical data. No downsampling. Only good for real time data, seek other time series databases if you want to store with a specific timestamp.
A really good product, simple, powerful, the best metrics tool ... and ... open source free !!