metrics. When deploying Kubernetes infrastructure for our customer, it is standard to deploy a monitoring stack on each cluster. After waiting a few minutes, youll see a screen similar to the one below. Content used for this demo is available deployment, Thanos will continuously receive and aggregate the metrics and you At scale, if the scrape duration of all your stack, contact us at
[email protected] :). The observer cluster is our primary cluster from which we are going to query the Anyway this might be a topic for a further article but we will focus on the scrapping here. github Expose Thanos-query UI with ingress. Next, once youre signed in, youll see a few options to install New Relic. For effective multi-cluster monitoring, a "single pane of glass" with centralized real-time monitoring, time series comparisons across and within clusters and high availability is essential for teams operating with multiple clusters and multiple providers. If you want to store data for a long time and Our example is running on AWS with 2 clusters deployed with Write Minio parameter configuration file minio.yaml: Log in to minio to create a thanos bucket. There are multiple way to deploy these components into multiple Kubernetes Set additional data that you want to gather if the defaults dont work for you and click the Continue button. We offer a quite complete implementation for AWS in our Prometheus stores metrics on disk, you have to make a choice between storage space and metric retention time. Nginx. If you want to test this out, or even have it running on your home lab, thats more than enough data for free. Thanos main components are:. that we would like to monitor (node, pod metrics etc.) I want to thank my colleagues Shaun Levey and Venugopal Naik for their thoughtful suggestions and ideas. Thanos Queryis the main component of Thanos, it is the central point where you send promQL query to. The next step is to install Thanos in the data aggregator cluster and tEKS repository that abstract a lot of First, make a copy of the thanosvalues.yaml we created in Part 1, then ensure you update the following parameters: You can obtain the nsg_id and subnet_id values from the OCI console. This component acts as a store for Thanos Query. Service account 101: the power of M2M with security in mind, Cloud Native Computing Foundation Welcomes EY as a New Gold Member, recommendation about cross cluster 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 observee clusters, Query Frontend which serve as a datasource endpoint for Grafana, Storegateway are deployed to query the observer bucket, Query will perform query to the storegateways and the other querier, Thanos querier configured with TLS are deployed to query each observee cluster, Thanos side that upload to observee specific bucket, Thanos compactor to manage downsampling for this specific cluster, The observer cluster local thanos sidecar, Our storegateway (one for the remote observee cluster and one for the local observer cluster), The local TLS querier which can query the observee sidecar. scraping Prometheuses from Prometheus, this solution works well when you are not Prometheus is still keeping 2 hours worth of metrics in memory so you It allows SRE teams and developers to capture metrics and telemetry data for applications running in a cluster, allowing deeper insights into application performance and reliability. To do so, we are going to install Prometheus with the Thanos sidecar in each region. This cluster will also host Grafana for data Nov 29, 2021 -- 1 In a previous article, we deployed multiple OKE clusters for Verrazzano in different OCI regions. Edit each file and change their respective object storage endoint and region. One of the main feature of Thanos is to allow for unlimited storage. You can also reach us every day on the CNCF/Kubernetes Slack channels. Confirm that both sidecar services are running and registered with Thanos, as shown below: From the Grafana dashboard, click the "Add data source" button. the number of cluster from which you want to get metrics. and can be deploy easily. Cluster, some are better than the other depending on the use cases and we cannot Using Thanos, you can orchestrate a multi-cluster Prometheus environment to horizontally scale and be highly resilient. metrics stored inside an object store. Browse to the 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. Yes, with the Prometheus/Grafana combination, you can monitor multiple Kubernetes clusters and multiple providers. Let's look at how we can set it up for multi-cluster monitoring in AWS. Replace the This section points to the remote endpoint (secured via SSL using Let's Encrypt certificates, thus trusted by the certificate store on the AKS nodes; if you use a non-trusted certificate, refer to the TLSConfig section of the PrometheusSpec API). For ingress, deploy the Helm chart using the following command, to account for this issue with AKS clusters >1.23: Notice the extra annotations and the externalTrafficPolicy set to Local. your storage needs. The command above exposes the Thanos sidecar container in each cluster at a future. might still loose 2 hours worth of metrics in case of outage (this is problem Rinse and repeat for as many clusters as you have. Thanos query can dispatch a query to: Thanos query is also responsible for deduplicating the metrics if the same metrics come from different stores or Prometheuses. Use the command below, replacing GRAFANA-PASSWORD with a password for the However, at the same time the monitoring set-up in each cluster is very robust and complete and we can view those metrics separately as well should the need arise. Talks about Azure, Security, and Kubernetes. clusters. You have the kubectl CLI and the Helm v3.x package manager installed and configured to work with your Kubernetes clusters. Thanos Query is the main component known companies. The value of the HTTP header ("THANOS-TENANT") of the incoming request determines the id of the tenant Prometheus. Each variation has its advantages and disadvantages with possible regulatory implications (if you need to conform to these) necessitating infrastructural, architectural and financial tradeoffs. In production environments, it is preferable to deploy an NGINX Ingress Controller to control access from outside the cluster and further limit access using whitelisting and other security-related configuration. clusters and allows further monitoring and analysis using Grafana. Discover how to implement multi-cluster monitoring with Prometheus. some severe issues. Queries, otherwise known as the Query Layer, is what you expect - it gives you the ability to query the data thats in the Store. Installing Prometheus and Grafana in Kubernetes is relatively straightforward (not easy, just straightforward). observee clusters, Query Frontend which serve as a datasource endpoint for Grafana, Storegateway are deployed to query the observer bucket, Query will perform query to the storegateways and the other querier, Thanos querier configured with TLS are deployed to query each observee They can still re-publish the post if they are not suspended. Thanos will work in cloud native environments as well as more traditional ones. Privacy Policy and Terms of Use. On the "Import" page, paste the JSON model into the "Or paste JSON" field. scraping a lot of metrics. This makes it easy for Thanos to access Prometheus metrics in different clusters without needing any special firewall or routing configuration. Openshift-user-workload-monitoring: This is responsible for customer workload monitoring. It can also cache some information on local storage. code of conduct because it is harassing, offensive or spammy. On the operator host, make 3 copies of the thanos-sin-storage.yaml and rename them appropriately by region e.g. Save my name, email, and website in this browser for the next time I comment. (it is not scalable) that is responsible for compacting and downsampling the Our developer guide covers best practices and tips for success. From the Grafana dashboard, click the Import -> Dashboard It will become hidden in your post, but will still be visible via the comment's permalink. How so ? By submitting this form, you acknowledge that your information is subject to The Linux Foundation's Privacy Policy. For example if you have a metric which is in a Prometheus and also inside an object store, Thanos query can deduplicate the metrics. Once complete, wait a minute or two, refresh your page, and click on the Kubernetes Monitoring option again. Next, we need cert-manager to automatically provision SSL certificates from Let's Encrypt; we will just need a valid email address for the ClusterIssuer: Last but not least, we will add a DNS record for our ingress Loadbalancer IP, so it will be seamless to get public FQDNs for our endpoints for Thanos receive and Thanos Query. Stack It is also a part of the CNCF incubating 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. public IP address using a LoadBalancer service. Promethues-operator installed in the Observability cluster requires that grafana be installed and that the Query component whose default datasource is Thanos be modified.The Observability-prometheus-operator.yaml configuration file is as follows: Only prometheus-related components need to be installed in the A\B cluster. granularity on your metrics over time. Downsampling is the action of loosing granularity on your metrics over time. Now, of course, the above relates to any monitoring and observability platform. You can also use ourterraform-kubernetes-addonsmodule as a standalone component. Perform similar actions in the second "data producer" cluster. terraform-kubernetes-addons translate query to remote object storage. Cloud Native Glossary the German Version is Live! Thanos is a really complex system with a lot of moving parts, we did not deep dive on the specific custom configuration involved here as it would take too much time. Dependencies # Thanos aims for a simple deployment and maintenance model. However, there are several difficulties that naturally arise when creating a production-ready version of such a system: Rinse and repeat for any other Kubernetes clusters you have. Below youll see a screenshot of how New Relic deals with pricing and how to think about it. Thanos is a monitoring system that aggregates data from to each database service. helm upgrade -i thanos -n monitoring --create-namespace --values thanos-values.yaml bitnami/thanos . This setup allows for autoscaling of receiver and query frontend as horizontal pod autoscalers are deployed and associated with the Thanos components. 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, It will show as empty. Two "data producer" clusters which will host Prometheus deployments and applications that expose metrics via Prometheus. In this article we are going to see the limitation of a Prometheus only monitoring stack and why moving to a Thanos based stack can improve metrics retention and also reduce overall infrastructure cost. at the end of Step 2 and PORT is the Thanos is an Open source, highly available Prometheus Prometheus, coupled with Grafana, is a popular monitoring solution for Kubernetes clusters. The Store continuously syncs and is the place where you can query metrics from various Prometheus installations on different clusters. Edit each file and change the following: You can now deploy Prometheus in each region. Overview chart in Grafana, as shown below: You can view metrics from individual master and slave nodes in each cluster by For each of the managed clusters, repeat the following: Next, we will deploy Prometheus with the sidecar in each region. using whitelisting and other security-related configuration. You're sort of stuck (by default) having to install Prometheus and Grafana one by one on each cluster, which results in multiple instances of Prometheus and Grafana to access if you want to set up alerts or check your stack. We can now visualize the data flowing from Prometheus, we only need a dashboard to properly display the data. Sidecar: connects to Prometheus and exposes it for real-time queries by the Query Gateway and/or upload its data to cloud storage for long term usage; Query Gateway . Learn about . This can be, for example, an S3 bucket in AWS or an Azure Storage Account. Note how we use kubectl with jsonpath type output to get the ingress public IP. Controller to control access from outside the cluster and further limit access Choerodon Porcine Tooth* As an agile full-link technology platform for open-source multi-cloud applications, it is based on open-source technologies such as Kubernetes, Istio, knative, Gitlab, Spring Cloud to achieve the integration of local and cloud environments, and to achieve the consistency of enterprise multi-cloud/hybrid Cloud Application environments.Platforms help organize teams to complete software life cycle management by providing capabilities such as lean agility, continuous delivery, container environments, micro services, DevOps, and so on, to deliver more stable software faster and more frequently. Then it dispatches query to all of it stores. For example if you have a requirements become correspondingly more complex. Just insert your code between opening and closing tag: [code lang="java"] code [/code]. Prometheus allows SRE/DevOps teams to find a deep insight into services. There are a lot of enterprise options that are available, but in this section, youll dive into New Relic. The idea is to have resilient querying so you dont have to worry about a node (where Prometheus is installed, which is the k8s cluster, but sometimes referred to as a node in the Thanos documentation) not being queryable. On the "Settings" page, set the URL for the Prometheus server to. Deduplication also works based on Prometheus replicas and shard in the case of a Prometheus HA setup. Once at the product page, click the blue Create free account button. Well, not much you can do with just installing the Operator or Kube-Prometheus. Once chosen, run the code on your Kubernetes cluster and click the Continue button. This is what the compactor is for, saving you byte on your Thanos receiver supports multi-tenancy. It is very important from an operations perspective to monitor all these clusters from a single pane of glass. Mar 25, 2022 -- 1 Prometheus is the most favoured monitoring solution for monitoring Kubernetes metrics nowadays. However, New Relic has a free version. Some users run Thanos in Kubernetes while others on the bare metal. of the box with Prometheus Choerodon Pork*Teeth v0.21 has been released. The next step is to install Grafana, also on the same data aggregator cluster Only one instance of the Prometheus Operator component should be running in a You can read about the pros and cons of pushing metricshere. production ready EKS clusters on AWS: Our deployment uses the official can deduplicate the metrics. federation allow Next, enter your Kubernetes cluster name and click the Continue button. Bitnami's Prometheus Operator chart provides easy monitoring definitions for Kubernetes services and management of Prometheus instances. using Grafana, just as with regular Prometheus metrics. Add a new source of type Prometheus and basic authentication (the same we created before): Congratulations! Its not realistic for any highly-functioning engineering department. There are many possible Thanos implementations that might suit you depending on your infrastructure and your requirements. different stores or data sources in Thanos. 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). 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. This guide uses clusters hosted on the Google Kubernetes Engine (GKE) service while the prometheus.thanos.service.type parameter makes the sidecar service It is possible to expose Prometheus endpoints on the external network and to add them as Datasource in a single Grafana. Content used for this demo is availablehereandthereand are submit to their respective licenses. Use the command below to obtain the public IP address of the sidecar service. Grafana, is a popular monitoring solution for Kubernetes It is. Thanos query is a UI of Thanos its shows multiple clusters and VMs metrics in one place. production environments, it is preferable to deploy an NGINX Ingress If you want to dive deeper into Thanos you can check their official Ensure you get their values for each region. 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. Bitnamis Prometheus Operator chart Effectively, this makes the Singapore cluster our command center: We now want to be to monitor the other clusters too. Image From Bazain Multi-Cluster Monitoring Post I advise you to take a look at the Banzai Cloud blog postto have details about that solution. several components: The simplify architecture is the following: This architecture has some caveats and does not scale out well when increasing purposes, this guide will deploy a MariaDB replication cluster using Bitnamis metric which is in a Prometheus and also inside an object store, Thanos query The concepts are still the same (managing multiple cluster monitoring and observability in one location). document.getElementById( "ak_js_1" ).setAttribute( "value", ( new Date() ).getTime() ); Your email address will not be published. Built on Forem the open source software that powers DEV and other inclusive communities. It also includes an optional Thanos sidecar container, which can be used by your Thanos deployment to access cluster metrics. You also have the option to enable monitoring for user-defined projects . In this article, we will look at how we can monitor multiple clusters. DEV Community A constructive and inclusive social network for software developers. You can sign up for free by going to the following link: https://grafana.com/products/cloud/. First, sign up for New Relic for free here: https://newrelic.com/. 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. Most upvoted and relevant comments will be first, Your Go-To Engineer For Kubernetes and Container Training, Consulting, and Content Paving the Way to Make Orchestration and Containerization More Digestible for Engineers Published Author, https://thanos.io/v0.30/thanos/quick-tutorial.md/. Go through the installation instructions that you see on your screenshot (no screenshot because it shows sensitive information). Querier is the key to multi-cluster monitoring and global views of ThanOS. Typically, the defaults are what youll want if this is your first installation. You just need to implements security on We run a query and then we use the externalLabels we set in each cluster: Lets look at Grafana. Thanos is running alongside Prometheus (with a sidecar) and export Prometheus metrics every 2h to an object storage. multiple Prometheus deployments. It is common to start with a Prometheus only setup and to upgrade to a Thanos one. By using object storage (such as S3), which is offered by almost every cloud provider. This article is from Choerodon Pork-toothed Fish Community*Yidaqiang. 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. cluster. It is recommended to push metrics as a last resort or when not trusting multiple cluster or tenant (for example when building a Prometheus as a service offering). provider. Thanos is a really complex system with a lot of moving parts, we did not deep which creates a Prometheus Operator ServiceMonitor. pushing metrics Enroll your company as a CNCF End User and save more than $10K in training and conference costs, Guest post originally published on Particules blog by Kevin Lefevre, CTO & Co-founder at Particule. Guide. grafana, alertmanager and other components no longer need to be installed. The next step is to install Thanos in the "data aggregator" cluster and integrate it with Alertmanager and MinIO as the object store. series comparisons across and within clusters and high availability is essential The component communicate with each other through gRPC. To start, head to the Azure Portal and deploy AME; then, get the endpoint from the Overview tab and connect to your AME instance. Templates let you quickly answer FAQs or store snippets for re-use. There are many possible Thanos implementations that might suit you depending on It allows SRE teams and developers to capture metrics and telemetry 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 . Once deployment in each cluster is complete, note the instructions to connect Thanos compactor is a singleton For Thanos receive and query components to be available outside the cluster and secured with TLS, we will need ingress-nginx and cert-manager. What about if you have multiple clusters? This could be anything from S3 to Azure Storage Accounts. Once unpublished, this post will become invisible to the public and only accessible to Michael Levan. projects. On the Import page, paste the JSON model into the Or paste JSON field. metrics. Dont hesitate to contact us through Github Issues on either one of this Welcome to install/upgrade. of Thanos, it is the central point where you send promQL query to. 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. We will use the same credentials (but feel free to generate a different one) to push metrics from Prometheus to Thanos using remote-write via the ingress controller. Multi-Cluster Monitoring is an everyday use case in enterprise environments, and usually, you have a Control Plane that acts as a centralized view of all of your clusters as we can see in the image below. Create a values.yaml file as shown below. Prometheus is still keeping 2 hours worth of metrics in memory so you might still loose 2 hours worth of metrics in case of outage (this is problem which should be handle by your Prometheus setup, with HA/Sharding, and not by Thanos). Thanos is a monitoring system that aggregates data from multiple Prometheus deployments. But heres the problem - thats for one cluster. Our developer guide covers best practices and tips for success. It can also cache some information on setup with long term storage capabilities". Cortex Cortex provides horizontally scalable, highly available, multi-tenant, long term storage for Prometheus. Grafana load balancer service: Confirm that you are able to access Grafana by browsing to the load balancer IP address on port 3000 and logging in with the username admin and the Lets check their behavior: So this querier pods can query my other cluster, if we check the webUI, we can see the stores: So great but I have only one store ! and executing a query. Helm charts: This guide walks you through the process of using these charts to create a The Linux Foundation has registered trademarks and uses trademarks. Prometheus is a very flexible monitoring solution wherein each Prometheus server is able to act as a target for another Prometheus server in a highly-available, secure way. Repeat the steps shown above for the second data producer cluster. applications that expose metrics via Prometheus. Only one instance of the Prometheus Operator component should be running in a cluster. Use a different value for the prometheus.externalLabels.cluster parameter, such as data-producer-1. Because of that, as with all Incubator projects, continue with the understanding that the platform will most likely change as its being developed. The need for Multi-Cluster Monitoring A robust Kubernetes environment consists of more than 1 Kubernetes cluster. Perform similar actions in the second data producer Everything is curated inside our terraform-kubernetes-addons repository. We plan to support other cloud provider in the future. Made with love and Ruby on Rails. Prometheus is the default monitoring scheme in Kubernetes, which focuses on alerting and collecting and storing recent monitoring indicators.However, Prometheus also exposes some problems at a certain cluster size.For example, how can PB-level historical data be stored in an economical and reliable way without sacrificing query time?How do I access all metrics data on different Prometheus servers through a single query interface?Can duplicate data collected be combined in some way?Thanos offers highly available solutions to these problems, and it has unlimited data storage capabilities. Those include tools like: If youre reading this and think to yourself I have Datadog, thats fine. as Thanos. Your email address will not be published. In this article we are going to see the limitation of a Prometheus only Multi-Cluster Monitoring with Thanos Thanos is an "Open source, highly available Prometheus setup with long term storage capabilities". In this article will see how to monitor and store the multiple cluster metrics on a storage bucket using Thanos and Prometheus. This, of course, is not a good option because it doesnt scale. teams scale out and start working with multiple clusters, monitoring The whole goal of Thanos is: Prometheus with long-term storage capability and the ability to collect metrics from multiple clusters. If everything is For this section, well use an example of Prometheus and Grafana because its relatable for many engineers and its one of the most popular stacks to use for monitoring and observability in Kubernetes. Looking back at the pitfalls of running databases on Kubernetes I encountered several years ago, most of them have been resolved. Below is a reference architecture in AWS showcasing how we could achieve it with Thanos: communication, And of course, we are happy to help you setup your cloud native monitoring The difference is that you can collect metrics from every cluster and export them in one location, which makes viewing much easier (the downside is you still have to manage multiple instances of Prometheus). Remove Prometheus or Grafana and insert whatever other tool you like to use. You can read more here: Multi cluster monitoring with Thanos. 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. Learn how to install kubectl and Helm v3.x. 7 min read At Banzai Cloud we support and manage hybrid Kubernetes clusters for our customers across five clouds and on-prem (bare metal, VMware). If running on premises, object storage can be offered with solution likerookorminio. Well, not much you can do with just installing the Operator or Kube-Prometheus. Stateless, Secretless Multi-cluster Monitoring in Azure Kubernetes Service with Thanos, Prometheus and Azure Managed Grafana. which can be a pain to maintain. Prometheus instances. "thanos-sidecar.${local.default_domain_suffix}:443", nginx.ingress.kubernetes.io/backend-protocol, nginx.ingress.kubernetes.io/auth-tls-verify-client, nginx.ingress.kubernetes.io/auth-tls-secret, recommendation about cross cluster Wait for the deployment to complete and note the DNS name and port number for the Thanos Querier service in the deployment output, as shown below: Confirm also that each service displays a unique cluster labelset, as configured in Step 1. However, this approach is highly Thanos is split into several components, each having one goal (as every service Prometheus-opertor provided by Choerodon adds a dashboard for multi-cluster monitoring based on the source community version.