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Thanos.io

Open source, highly available Prometheus setup with long term storage capabilities.

Thanos.io Reviews and details

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  • Thanos.io Landing page
    Landing page //
    2022-11-21

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Social recommendations and mentions

We have tracked the following product recommendations or mentions on various public social media platforms and blogs. They can help you see what people think about Thanos.io and what they use it for.
  • 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). Source: 5 months ago
  • Monitoring multiple kubernetes cluster with single Prometheus operator
    Sounds like you want something like Thanos. Source: 11 months ago
  • 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. Source: 11 months ago
  • 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... Source: about 1 year ago
  • 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... Source: about 1 year ago
  • 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. Source: about 1 year ago
  • 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/. Source: over 1 year ago
  • Top CNCF Projects to look out for in 2023
    Thanos belongs in Observability and Analysis / Monitoring as it is based on Prometheus, a monitoring CNCF project. It makes it easier to scale Prometheus horizontally and obtain a global view of data from several Prometheus servers. Thanos promises high availability and virtually unlimited historical data storage. This year, it got in the top 5 CNCF projects with the most contributors. - Source: dev.to / over 1 year ago
  • What opensource tools have changed your company culture?
    This is a reasonably small setup, but having multiple deployment zones means you will need Prometheus plus a centralizing overlay. For example Thanos or Mimir. Source: over 1 year ago
  • Monitoring Microservices with Prometheus and Grafana
    I really don't get why "scrape the prometheus endpoint" is a go-to now, push model seems to be way less PITA to manage at scale. > If you get serious about Prometheus, eventually you will want longer data retention, checkout https://thanos.io/ Any idea how it compares with https://victoriametrics.com/ ? We're slowly looking for a replacement for InfluxDB (as 1.8 is essentially on life support), the low disk... - Source: Hacker News / over 1 year ago
  • Monitoring Microservices with Prometheus and Grafana
    If you get serious about Prometheus, eventually you will want longer data retention, checkout https://thanos.io/ Also sometimes you'll have some sort of a batch job, or a cron that can't be scrapped the regular way, checkout Prometheus Pushgateway https://prometheus.io/docs/practices/pushing/. - Source: Hacker News / over 1 year ago
  • What do you guys use for outage monitoring / incident reporting?
    If you don't have the budget or have a decent size team, go with Prometheus and Grafana. Be mindful to do the research, the storage for Prometheus needs to be well designed for scalability. We wanted at some point to implement this Thanos but we didn't have the bandwidth to do so. Source: over 1 year ago
  • Lenpaste - open source analogue of pastebin.com
    I think for the purpose of this application the speed is negligible, but you could even scale s3 which is a common pattern to match the performance of storing files in a database. I would be very curious to see the speeds of a database vs. Object storage. There's a reason applications like Mimir and Thanos use s3 for storing 10s of millions of Prometheus metrics at scale. Source: almost 2 years ago
  • Building a distributed lab with an observability stack
    For a homelab I think prometheus + grafana is easy to get started and scales well. There are lots of ways to set up the architecture. Prometheus can write to a directory on a filesystem, it can be set to write to a remote server, and there are other projects to integrate object storage (s3, minio, etc) or influxdb for long term storage and downsampling. Source: almost 2 years ago
  • How i can determine S3 Bucket size about Prometheus with Thanos Sidecar??
    Please let me know or give some hints with prometheus.io or thanos.io. Source: almost 2 years ago
  • Stateless, Secretless Multi-cluster Monitoring in Azure Kubernetes Service with Thanos, Prometheus and Azure Managed Grafana
    This solution builds upon well-established Cloud Native Computing Foundation (CNCF) open source projects like Thanos and Prometheus,together with a new managed services, Azure Managed Grafana, recently released in public preview. It allows for ephemeral clusters to still have updated metrics without the 2-hours local storage of metrics in the classic deployment of Thanos sidecar to Prometheus. - Source: dev.to / almost 2 years ago
  • Need help building a Prometheus environment
    Without knowing your infrastructure it's hard to advise how to run Prometheus but the general advice will work of it's best to run Prometheus in pairs. I personally don't federate my Prometheus servers and use Thanos to complete my HA setup. Source: almost 2 years ago
  • Scalable and HighAvailability way to monitor cloud infrastructure with Prometheus?
    Prometheus is VERY scalable, and is ideally run in Kubernetes. Resource consumption is really tied to storage. If you need 30 days (or more of storage) look at other storage engines to 'offload' that data. Two very popular ones are Thanos and mimir . You can also tune down the frequency of scrapes to cut down on resource consumption (Do you need to know how full your disk is every 15 seconds, or is 60 seconds... Source: almost 2 years ago
  • 7 Open Source Cloud Native Tools That Aren’t Kubernetes
    That’s where Thanos comes in. As the GitHub README states, “Thanos is a set of components that can be composed into a highly available metric system with unlimited storage capacity, which can be added seamlessly on top of existing Prometheus deployments.” Managing storage is often a big pain point with metrics collection, so unlimited storage capacity sounds fantastic, and Thanos also adds high availability to... - Source: dev.to / almost 2 years ago
  • Audio visual SNMP monitoring
    I am currently running a cluster of Prometheus servers with over 200 million unique metrics at a rate of almost 10 million samples per second ingestion. (Zabbix calls this NVPS) We use Thanos as a "single pane of glass" query and storage layer. Source: almost 2 years ago
  • Tell HN: By default, New Relic will start collecting production log data on 5/3
    You can also use Thanos (https://thanos.io/) for storing Prometheus metrics into S3. The design is pretty similar to Loki (which Thanos predates), separated into services so you can nicely horizontally scale your ingestion path separately from your read path depending on workloads. - Source: Hacker News / about 2 years ago

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