thanos
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thanos | k0s | |
---|---|---|
66 | 32 | |
12,530 | 2,629 | |
1.1% | 10.5% | |
9.6 | 9.8 | |
5 days ago | about 6 hours ago | |
Go | Go | |
Apache License 2.0 | GNU General Public License v3.0 or later |
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.
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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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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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.
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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.
k0s
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Seeking Guidance for Transitioning to Kubernetes and SRE/DevOps for traditional infrastructure team
I am myself studying it and going through the official documentation and toying with k8s flavors like kind, k3s and k0s.
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I was so excited to join this community
There's a whole community of hobbyists building Raspberry Pi clusters, porting things to work on various Arm processors, exploring and contributing to minimalist distros like k0s and microk8s, etc.
- Blog: KWOK: Kubernetes WithOut Kubelet
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KWOK : mettre en place un cluster de milliers de nœuds en quelques secondes …
root@localhost:~# curl -sSLf https://get.k0s.sh | sudo sh Downloading k0s from URL: https://github.com/k0sproject/k0s/releases/download/v1.25.4+k0s.0/k0s-v1.25.4+k0s.0-amd64 k0s is now executable in /usr/local/bin root@localhost:~# k0s install controller --single root@localhost:~# k0s start root@localhost:~# k0s status Version: v1.25.4+k0s.0 Process ID: 1064 Role: controller Workloads: true SingleNode: true Kube-api probing successful: true Kube-api probing last error: root@localhost:~# k0s kubectl cluster-info Kubernetes control plane is running at https://localhost:6443 CoreDNS is running at https://localhost:6443/api/v1/namespaces/kube-system/services/kube-dns:dns/proxy To further debug and diagnose cluster problems, use 'kubectl cluster-info dump'. 443/TCP 97s root@localhost:~# k0s kubectl get nodes -o wide NAME STATUS ROLES AGE VERSION INTERNAL-IP EXTERNAL-IP OS-IMAGE KERNEL-VERSION CONTAINER-RUNTIME localhost Ready control-plane 100s v1.25.4+k0s 172.105.131.23 Ubuntu 22.04.1 LTS 5.15.0-47-generic containerd://1.6.9 root@localhost:~# curl -LO https://storage.googleapis.com/kubernetes-release/release/v1.25.4/bin/linux/amd64/kubectl && chmod +x kubectl && mv kubectl /usr/bin/ % Total % Received % Xferd Average Speed Time Time Time Current Dload Upload Total Spent Left Speed 100 42.9M 100 42.9M 0 0 75.2M 0 --:--:-- --:--:-- --:--:-- 75.3M root@localhost:~# k0s kubeconfig admin > ~/.kube/config root@localhost:~# type kubectl kubectl is hashed (/usr/bin/kubectl) root@localhost:~# kubectl get po,svc -A NAMESPACE NAME READY STATUS RESTARTS AGE kube-system pod/kube-proxy-clxh7 1/1 Running 0 3m56s kube-system pod/kube-router-88x25 1/1 Running 0 3m56s kube-system pod/coredns-5d5b5b96f9-4xzsl 1/1 Running 0 4m3s kube-system pod/metrics-server-69d9d66ff8-fxrt7 1/1 Running 0 4m2s NAMESPACE NAME TYPE CLUSTER-IP EXTERNAL-IP PORT(S) AGE default service/kubernetes ClusterIP 10.96.0.1 443/TCP 4m20s kube-system service/kube-dns ClusterIP 10.96.0.10 53/UDP,53/TCP,9153/TCP 4m8s kube-system service/metrics-server ClusterIP 10.98.18.100 443/TCP 4m2s
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vcluster as a Service
I use k0s btw ,and it is fantastic.
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Any Kubernetes provider you could recommend me?
Here is link number 1 - Previous text "k0s"
k0s is a good Kubernetes distribution.
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Some thoughts on cert-manager moving from Bazel to Make
So for example, in my own personal infra repos and for projects I do, Make orchestrates Pulumi, dnscontrol (Holy shit is that tool underrated), ansible, k0s/k0sctl (I run that distro), and all the kubernetes stuff.
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Is the Synology NAS able to run a Kubernetes Cluster ?
I wasn’t able to run Kubernetes in NAS last time I tried it. https://github.com/k0sproject/k0s/issues/1184. As for public access you don’t want to do it for security reasons and instead rely on vpn. Tailscale and ZeroTier are easy to setup.
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Cloudflare Uses HashiCorp Nomad
actually that is not really true - i strongly urge you to try out http://k3s.io/ or https://k0sproject.io/
these are full-fledged, certified k8s distributions that run on raspberry pi as well as all the way in production.
https://www.youtube.com/results?search_query=raspberry+pi+k3...
What are some alternatives?
mimir - Grafana Mimir provides horizontally scalable, highly available, multi-tenant, long-term storage for Prometheus.
k3s - Lightweight Kubernetes
VictoriaMetrics - VictoriaMetrics: fast, cost-effective monitoring solution and time series database
cortex - A horizontally scalable, highly available, multi-tenant, long term Prometheus.
promscale - [DEPRECATED] Promscale is a unified metric and trace observability backend for Prometheus, Jaeger and OpenTelemetry built on PostgreSQL and TimescaleDB.
k3d - Little helper to run CNCF's k3s in Docker
microk8s - MicroK8s is a small, fast, single-package Kubernetes for datacenters and the edge.
kind - Kubernetes IN Docker - local clusters for testing Kubernetes
Telegraf - The plugin-driven server agent for collecting & reporting metrics.
istio - Connect, secure, control, and observe services.
Gravitational Teleport - Protect access to all of your infrastructure
prometheus - The Prometheus monitoring system and time series database.