multi cluster monitoring with thanos

Scaling Prometheus Using Thanos - OpsRamp scraping a lot of metrics. Its just with a different tool. About OpenShift Container Platform monitoring OpenShift Container Platform includes a preconfigured, preinstalled, and self-updating monitoring stack that provides monitoring for core platform components. Downsampling is the action of loosing granularity on your metrics over time. Let's look at how we can set it up for multi-cluster monitoring in AWS. Frontend acts a frontend Grafana has a SaaS version, which does have a paid model, but also a free model (theres a cap on the amount of metrics that can be consumed in the free version). write but this is still not the topic of this article. In the previous section, the example was given to portray Prometheus and Grafana installations. for teams operating with multiple clusters and multiple providers. Thanos Thanos is an open source, highly available Prometheus setup with long term storage and querying capabilities. stateless. Helm charts: This guide walks you through the process of using these charts to create a Thanos is an Open source, highly available Prometheus Multi Cluster Monitoring With Thanos In AWS - Harshad Ranganathan Set additional data that you want to gather if the defaults dont work for you and click the Continue button. While remote writing is a Thanos is split into several components, each having one goal (as every service This can be, for example, an S3 bucket in AWS or an Azure Storage Account. In that scenario, Thanos also provides long-term . tEKS, our all in one solution to deploy On the "Import" page, paste the JSON model into the "Or paste JSON" field. JSON Observability is paramount to every distributed system and it's becoming increasingly complicated in a cloud native world where we might deploy multiple ephemeral clusters and we want to keep their metrics beyond their lifecycle span. Ensure you get their values for each region. selecting a different host in the Host drop down of the dashboard, as shown If you run kubectl get all -n newrelic on the Kubernetes cluster, youll see a ton of Resources being deployed. database administrator account and replication account password respectively. Use a monitoring stack and why moving to a Thanos based stack can improve metrics Sidecar: Connect Prometheus and expose Prometheus to Querier/Query for real-time query, and upload Prometheus data to cloud storage for long-term storage; Querier/Query: Implements the Prometheus API and aggregates data from underlying components such as Sidecar, or Store Gateway, which stores gateways; Store Gateway: Expose data content from cloud storage; Compactor: Compress and downsample data from cloud storage; Receiver: Get data from Prometheus'remote-write WAL (Prometheus remote pre-write log) and expose it or upload it to cloud storage. Conclusions . Explore cloud native concepts in clear and simple language no technical knowledge required! Thanos will work in cloud native environments as well as more traditional ones. scraping Prometheuses from Prometheus, this solution works well when you are not This component act as a store for Thanos Query. You can now start seeing monitoring and observability data for your cluster. Multi-Cluster Monitoring with Prometheus, Thanos & Grafana - VMware Modify your Kubernetes context to reflect the cluster on which you wish to install Thanos. Replace the KEY placeholder with a hard-to-guess value and the SIDECAR-SERVICE-IP-ADDRESS-X placeholders with the public IP addresses of the Thanos sidecar containers in the "data producer" clusters. The component communicate with each other through gRPC. Edit each file and change the following: You can now deploy Prometheus in each region. The next step is to install Thanos in the data aggregator cluster and However, we are getting the metrics for only 1 cluster. It deploys its own . Grafana load balancer service: Confirm that you are able to access Grafana by browsing to the load balancer By submitting this form, you acknowledge that your information is subject to The Linux Foundation's Privacy Policy. We can update the list of stores as well (note that I now have only 2 managed regions because I messed up the Tokyo cluster while testing something else): Change the context to admin and run helm update: If you access Thanos Query, you can now see 2 queries, 1 store and no sidecar: Lets use Thanos to find the amount of memory allocated and still in use by each cluster. Use the command below, replacing GRAFANA-PASSWORD with a password for the and are submit to their respective licenses. Choose the Kubernetes option. which can be a pain to maintain. The only dependencies are: Once unpublished, all posts by thenjdevopsguy will become hidden and only accessible to themselves. Thanos can be deployed multiple times (each associated with different storage accounts as needed) each with a different ingress to separate at the source the metrics . production ready EKS clusters on AWS: Our deployment uses the official In a future post, we will hopefully look at these. Beside out of the box integration with Azure, AME is a fully functional Grafana deployment that can be used to monitor and graph different sources, including Thanos and Prometheus. The deployment architecture diagram for this article is as follows: thanos currently supports object storage services from most cloud vendors, please refer to thanos object storage .This article uses minio instead of S3 object storage.To facilitate the installation of minio in the Observability cluster. If everything is configured correctly, you should see a success message like the one below. sidecar services are running and registered with Thanos, as shown below: Confirm also that each service displays a unique cluster labelset, as configured in Step 1. (it is not scalable) that is responsible for compacting and downsampling the Thanos Query is the main component Effectively, this makes the Singapore cluster our command center: We now want to be to monitor the other clusters too. Replace the MARIADB-ADMIN-PASSWORD and MARIADB-REPL-PASSWORD placeholders with the database administrator account and replication account password respectively. pushing metrics part in this article. The observer cluster is our primary cluster from which we are going to query the other clusters: A CA is generated for the observer cluster: Observee clusters are Kubernetes clusters with minimal Prometheus/Thanos installation that are going to be queried by the Observer cluster. This component acts as a store for Thanos Query. Achieve Multi-tenancy in Monitoring with Prometheus & Thanos Receiver Thanos - Highly available Prometheus setup with long term storage Thanos is split into several components, each having one goal (as every service should be ). If you want to dive deeper into Thanos you can check their officialkube-thanosrepository and also theirrecommendation about cross cluster communication, And of course, we are happy to help you setup your cloud native monitoring stack, contact us atcontact@particule.io. You should see your activity in each cluster reflected in the MySQL Once you sign up, choose the Monitor Kubernetes option on the GET STARTED page. specifying values for the USER-PASSWORD, USER-NAME and DB-NAME placeholders. labels per Prometheus instance - these labels are useful to differentiate Two "data producer" clusters which will host Prometheus deployments and applications that expose metrics via Prometheus. been made compatible with multicluster. prometheusvalues-sydney.yaml etc. Kubernetes multi-cluster monitoring with Prometheus and inlets The diagram above shows an architecture where we have multiple "Client" clusters on the left. module as a standalone component. from a central Observer cluster. Prometheus stores metrics on disk, you have to make a choice between storage Stateless, Secretless Multi-cluster Monitoring in Azure Kubernetes - foojay You can read about the pros and cons of pushing metricshere. Leave all other values at their default. Stateless, Secretless Multi-cluster Monitoring in Azure Kubernetes Service with Thanos, Prometheus and Azure Managed Grafana. Learn about deploying a Kubernetes cluster on different cloud platforms. on the scrapping here. from yesterday. Thanos main components are:. You will use this IP address in the next step. Then it dispatches query to all of it stores. It gives you a declarative way to manage Kubernetes resources and confirms that the current state is the desired state. like rook or minio. Also in production environnement Prometheus is often run Installing Prometheus and Grafana in Kubernetes is relatively straightforward (not easy, just straightforward). them as Datasource in a single Grafana. . Grafana: fancy dashboards. Well, not much you can do with just installing the Operator or Kube-Prometheus. Storing metrics data for long term use requires it to be stored in a way that is optimized for that use. How so ? Learn how to install kubectl and Helm v3.x. There are three primary components (that are decoupled) in Thanos: Metric sources are the instances of Prometheus that are running on each cluster. Grafana application: Wait for the deployment to complete and obtain the public IP address for the Use the command below to obtain the public IP address of the sidecar service. For further actions, you may consider blocking this person and/or reporting abuse. Perform similar actions in the second data producer Cluster, some are better than the other depending on the use cases and we cannot Dont hesitate to contact us through Github Issues on either one of this It can also cache some information on local storage. on top of each other. MySQL Overview dashboard in the Percona GitHub repository The Let's go thru the relevant sections of the values file: (replace the user_assigned_id with the object id of your kubeletIdentity, for more information about AKS identities, check out this article) This section instructs the Thanos Store Gateway and Compactor to use an Azure Blob store, and to use the kubelet identity to access it. Rinse and repeat for as many clusters as you have. Looking back at the pitfalls of running databases on Kubernetes I encountered several years ago, most of them have been resolved. First, create a bucket called thanos in each region. different value for the prometheus.externalLabels.cluster parameter, such as Thanos query exposes a Prometheus compatible endpoints. Introducing the Thanos Operator | Cisco Tech Blog Or specify another language. The directory structure is the following inside the thanos demo folder: This allow for DRY(Dont Repeat Yourself) infrastructure and to easily scale the Once unsuspended, thenjdevopsguy will be able to comment and publish posts again. Wait for the deployment to complete and note the DNS name and port number for translate query to remote object storage. helm repo add bitnami https://charts.bitnami.com/bitnami, endpoint: {{ include "thanos.minio.fullname" . Create a Multi-Cluster Monitoring Dashboard with Thanos - Bitnami Bitnami's Prometheus Operator chart provides easy monitoring definitions for Kubernetes services and management of Prometheus instances. For example if you have a offering). Click the Kubernetes cluster explorer button. One "data aggregator" cluster which will host Thanos and aggregate the data from the data producers. Thanos is running alongside Prometheus (with a sidecar) and export Prometheus metrics every 2h to an object storage. But heres the problem - thats for one cluster. In Part 1, we looked at some of the reasons we want to use Thanos, a highly available solution with long term storage capabilities for Prometheus. It is also a part ofthe CNCF incubating projects. This guide uses clusters hosted on the Google Kubernetes Engine (GKE) service One of the main feature of Thanos is to allow for unlimited storage. The drawback of this solution is that you cannot make calculation based on different data sources. Well, not much you can do with just installing the Operator or Kube-Prometheus. metrics come from different stores or Prometheuses. You can read more here: Multi cluster monitoring with Thanos. The installation and configuration varies between cloud, so it seemed like the best option to paste the installation here: https://thanos.io/v0.30/thanos/quick-tutorial.md/. cluster or tenant (for example when building a Prometheus as a service space and metric retention time. After you select 1 cluster, you should see the values in the various panels change: Now, we can monitor the performance of various resources in OCI across many regions, VCNs and even tenancies simultaneously. Next, youll see several options that are available for Kubernetes. Querier receives HTTP's PROMQL query, the component is responsible for data query aggregation, the query process is as follows: In short, it is to collect the data required to evaluate the query from the base StoreApi, evaluate the query and return the result. For demonstration purposes, this guide will deploy a MariaDB replication cluster using Bitnami's MariaDB Helm chart in each "data producer" cluster and display the metrics generated by each MariaDB service in Grafana. of Thanos, it is the central point where you send promQL query to. Prometheus Multi-Cluster monitoring using Prometheus Agent Mode Now that youve looked at the pricing model, lets dive into the installation. Privacy Policy and Terms of Use. below: You can now continue adding more applications to your clusters. This is what the compactor is for, saving you byte on your object storage and therefore saving you $. Add the Bitnami charts repository to Helm: Install the Prometheus Operator in the first "data producer" cluster using the command below: The prometheus.thanos.create parameter creates a Thanos sidecar container, while the prometheus.thanos.service.type parameter makes the sidecar service available at a public load balancer IP address. Ok, we kinda cheated in the title: you do need one credential at least for this setup, and it's the one to access the Prometheus API exposed by Thanos from Azure Managed Grafana. Templates let you quickly answer FAQs or store snippets for re-use. The observer cluster is our primary cluster from which we are going to query the provides easy monitoring definitions for Kubernetes services and management of only setup and to upgrade to a Thanos one. MARIADB-ADMIN-PASSWORD and MARIADB-REPL-PASSWORD placeholders with the as Thanos. clusters. Once unpublished, this post will become invisible to the public and only accessible to Michael Levan. Create a values.yaml file as shown below. Perform similar actions in the second "data producer" cluster. and also to cache the query result (either in memory or in a memcached). Using Thanos, you can orchestrate a multi-cluster Prometheus environment to horizontally scale and be highly resilient. stack, contact us at contact@particule.io :). MariaDB Helm chart in each data producer cluster and display the metrics Consider we have multiple kubernetes clusters (e.g. Two data producer clusters which will host Prometheus deployments and using Grafana, just as with regular Prometheus metrics. Warning of the box with Prometheus Here is what you should see: From the Grafana dashboard, click the Add data source button. much time. Basically this is the component that allows you to query an enable Prometheus metrics and a Prometheus Operator ServiceMonitor for each Our example is running on AWS with 2 clusters deployed withtEKS, our all in one solution to deploy production ready EKS clusters on AWS: Our deployment uses the officialkube-prometheus-stackandbitnami thanos chart. All rights reserved. We will show in a future post how to add a variable to a Grafana dashboard to properly select and filter cluster views. If you want to store data for a long time and running on a Cloud Provider, block storage can be expensive if you store terabyte of data on it. kube-thanos repository and also This data can then be inspected and analyzed For example you may want to keep your metrics for 2 or 3 year but you do not need so many data points as your metrics from yesterday. .compat.objectstorage.region.oraclecloud.com, helm install prometheus bitnami/kube-prometheus \, helm upgrade thanos bitnami/thanos -f thanosvalues.yaml, we have deployed 4 OKE clusters 1 each in Singapore, Sydney, Mumbai and Tokyo OCI regions, in a multi-cluster setup, Verrazzano has the concept of Admin and Managed clusters, we made the Singapore cluster to be the admin cluster and the other regions to be managed clusters, https://artifacthub.io/packages/helm/bitnami/thanos/8.1.2, https://www.infracloud.io/blogs/thanos-ha-scalable-prometheus/, https://particule.io/en/blog/thanos-monitoring/, https://betterprogramming.pub/set-up-thanos-with-multi-tenancy-to-power-up-your-prometheus-70123e6ea555. from the data producers. Everything is curated inside ourterraform-kubernetes-addonsrepository. To learn more about the topics discussed in this guide, use the links below: //prometheus-operator-alertmanager.monitoring.svc.cluster.local:9093, absent(up{prometheus="monitoring/prometheus-operator"}), deploying a Kubernetes cluster on different cloud platforms, MySQL Overview dashboard in the Percona GitHub repository, Secure Kubernetes Services with Ingress, TLS and Let's Encrypt, Step 1: Install the Prometheus Operator on each cluster, Step 4: Configure Grafana to use Thanos as a data source. Stores are, as described above, an object store where you can save the metrics. clusters and allows further monitoring and analysis using Grafana. Monitoring OpenShift Container Platform 4.6 - Red Hat Customer Portal Note here that although Prometheus is deployed in the same cluster as Thanos for simplicity, it sends the metrics to the ingress FQDN, thus it's trivial to extend this setup to multiple, remote clusters and collect their metrics into a single, centralized Thanos receive collector (and a single blob storage), with all metrics correctly tagged and identifiable. communication, Another Thanos query (they can be stacked), Thanos sidecar that upload to observee specific bucket, this CA will be trusted by the observee clusters ingress sidecar, TLS certs are generated for Thanos querier components that will query the clusters. It is very important from an operations perspective to monitor all these clusters from a single pane of glass. Kube-Prometheus is almost like a ready to go installation of Prometheus and Grafana. Catch up on the latest happenings and technical insights from #TeamCloudNative, Media releases and official CNCF announcements, CNCF projects and #TeamCloudNative in the media, Read transparent, in-depth reports on our organization, events, and projects, Edge Native Applications Principles Whitepaper Japanese translation, KubeCon + CloudNativeCon + Open Source Summit China 2023, Cloud Native Network Function Certification (Beta). The object storage endpoint has the following format: Recall that we had also installed kubectx and for our multi-cluster purpose, we had equated 1 cluster to 1 context. At scale, if the scrape duration of all your Modify your Kubernetes context to reflect the cluster on which you wish to install Thanos. the complexity (mostly the mTLS part) and allow to do lot of customizations. For each of the managed clusters, repeat the following: Next, we will deploy Prometheus with the sidecar in each region. You cant have fifty (50) clusters running 50 instances of Prometheus and 50 instances of Grafana.
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multi cluster monitoring with thanos 2023