compliance
thanos
compliance | thanos | |
---|---|---|
2 | 66 | |
120 | 12,638 | |
0.0% | 0.7% | |
0.0 | 9.6 | |
about 1 year ago | 4 days ago | |
Go | Go | |
Apache License 2.0 | Apache License 2.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
compliance
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Monitoring Microservices with Prometheus and Grafana
Scrape is typically just how people get started and works well for small and medium things, it gets you a long way before you need to consider it.
Prometheus remote_write is what people graduate to, this gets you the rest of the way, and you are correct it's less PITA at scale.
If you're looking for retention your choices are large, there's Cortex (CNCF), Mimir (most Cortex work moved here), Thanos, VictoriaMetrics, TimeScale, Chronosphere, and many others.
All seek to do a similar thing from a distance, they all store metrics (likely from Prometheus) and allow retention and some variety of how to query it (if you want SQL you got it, if you want non-standard functions you go it, if your reads are more important than your writes you got it, if you need a billion active series you got it, etc).
If what you want is "Prometheus but bigger" then the Prometheus project provides a compliance suite that you can run to help you evaluate your options: https://github.com/prometheus/compliance
I work for Grafana Labs, and we have maintainers working for us who have touched Prometheus, Thanos, Cortex and Mimir. Mimir is currently the largest investment we have https://github.com/grafana/mimir and it is 100% compliant with Prometheus (though that is about to be temporarily untrue as Native Histograms is landing in Prometheus soon https://github.com/prometheus/prometheus/milestone/10 and we'll need to add a perfectly compliant support to Mimir to get back to being compliant).
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New managed Prometheus
This sounds great. Are you aware that we are launching the Prometheus compliance progam? You might be interested: https://github.com/cncf/prometheus-conformance
thanos
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Looking for a way to remote in to K's of raspberry pi's...
Monitoring = netdata on each RPi https://www.netdata.cloud/ binded to the vpn interface being scraped into a prometeus thaons https://thanos.io/ setup with grafana to give management the Green all is good screens (very important).
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thanos VS openobserve - a user suggested alternative
2 projects | 30 Aug 2023
- FLaNK Stack Weekly for 24 July 2023
- FLaNK Stack Weekly for 10 July 2023
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Monitoring multiple kubernetes cluster with single Prometheus operator
Sounds like you want something like Thanos
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Is anyone frustrated with anything about Prometheus?
Yes, but also no. The Prometheus ecosystem already has two FOSS time-series databases that are complementary to Prometheus itself. Thanos and Mimir. Not to mention M3db, developed at Uber, and Cortex, then ancestor of Mimir. There's a bunch of others I won't mention as it would take too long.
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Thousandeyes Pricing Model
Long term storage all depends on your needs and sophistication. I use Thanos for our system since it has an extremely flexible scaling system. But there is also Grafana Mimir. They're both similar in that they use Prometheus TSDB format as part of the underlying storage. One nice Thanos advantage is that it does do downsampling in addition to being able to store raw metric data for a long time. It will auto-select downsampled data to make requests faster.
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Monitoring many cluster k8s
You can aggregate all your clusters Prometheus metrics together with a wonderful tool called Thanos. This will allow you to use just a single Grafana instance against Thanos and using a label select which cluster you wish to see metrics from. The downside of this, is that none of the Grafana dashboards from the internet will work as-is. You'll need to customize all of them for Thanos support. The other downside is, you have a single point of failure, and (see next item) you can't customize who can access what in regards to your dev vs production data/metrics/access.
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Best unicorn monitoring system?
Depending on how you want to set things up, you can use Thanos or Mimir to create the single-pane-of-glass view of your data.
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Prometheus vs EFS: I don't know who to believe
You could look at something like Thanos and store your data in S3: https://thanos.io/