thanos grafana dashboard

You can learn more about it by reading the Quarkus MicroProfile Metrics guide. Here is what you should see: At this point, you can start deploying applications into your "data producer" clusters and collating the metrics in Thanos and Grafana. Here I’ve specified AWS US West 2 (Oregon) in my URL, but you might be running in a different region. This level of compatibility is part of our roadmap for InfluxDB 2.0 Open Source (OSS). string. https://github.com/povilasv/thanos/blob/monitoring/docs/getting_started.md#dashboards. That is exactly what you can do with the MicroProfile Metrics Generator, a new open source tool that I created to dynamically generate Grafana dashboards for any MicroProfile project by capturing and monitoring all of your project metrics. Scaling Kubernetes Deployments with InfluxDB & Flux Read More », Join Us for InfluxDays North America 2020 Read More », Downsampling with InfluxDB v2.0 Read More », Your email address will not be published. We have prepared a small demo with example dashboards for you to get a sneak peek of what can be done. The path to the json file containing the Grafana dashboard to import or export. @brancz hmm we can definitely add some Thanos mixin, but not everyone is using these so far, so maybe would be nice to have in example just pure importable "ugly" Grafana JSONs as a first thing. We will use openshift-oauth-proxy to protect our Prometheus instances so unauthenticated users cannot see our metrics. So, say that you have a running MicroProfile app with MicroProfile Metrics enabled, listening at http://localhost:8080. Different projects use different names for metrics, however, so it is often necessary (and tedious) to handcraft the metrics for each project. slug of the dashboard. ├── dashboard.jsonnet └── grafonnet-lib 1 directory, 1 file You've cloned Grafonnet and you've create a file called, dashboard.jsonnet. This suggestion has been applied or marked resolved. Follow these steps: From the Grafana dashboard, click the "Add data source" button. Since Thanos Querier can pull metrics from other querier instances, you can pull metrics across clusters and visualize them in Grafana dashboards. That being said, Prometheus is also considered an excellent choice for monitoring both containerized and non-containerized workloads. As an example, every MicroProfile vendor must expose the memory.usedHeap metric, which displays the amount of Java heap memory available for an app at any point in time. compaction: last 15m You will see something like the screenshot in Figure 1. privacy statement. Easily create and share a comprehensive monitoring solution. This data can then be inspected and analyzed using Grafana, just as with regular Prometheus metrics. This integration is available today with the launch of Grafana 7.1. At the moment of this writing the Thanos Store Gateway requires of anyuid for work on OCP 4, we are going to create a service account with such privileges: Download the file store-gateway.yaml containing the required definitions for deploying the Store Gateway. https://github.com/povilasv/thanos/blob/monitoring/docs/monitoring/monitoring.md, https://github.com/povilasv/thanos/blob/monitoring/docs/getting_started.md#dashboards, https://docs.google.com/document/d/1A9xvzwqnFVSOZ5fD3blKODXfsat5fg6ZhnKu9LK3lB4/edit. Cheers, Hey @VR6Pete, the plan is to get this merged add some alerts and then work on monitoring mixin, which would be environment agnostic ;). Here is what you should see: Step 4: Configure Grafana to use Thanos as a data source. 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 configured password. As you may know, the Cluster Managed Prometheus instances include the oauth proxy to perform authentication and authorization, in order to be able to authenticate we need a ServiceAccount that can GET all namespaces in the cluster. Run your apps using 20.0.0.11. You will use this IP address in the next step. Learn about deploying a Kubernetes cluster on different cloud platforms. After a few seconds we should see the Thanos Receive pod up and running: Now we can publish our Thanos receive instance using an OpenShift Route: Since our Thanos Receive instance requires clients to provide a Bearer Token in order to authenticate and be able to send metrics, we need to create two ServiceAccounts (one per cluster) and give them the proper rights so they can authenticate against the oauth-proxy. Details about how we use cookies and how you may disable them are set out in our Privacy Statement. Perform similar actions in the second "data producer" cluster. Vendors also have the option to expose vendor-specific metrics such as internal cache statistics. Legal Secondly, I want theses dashboards to be in GitHub, so that people can create issues & pull requests, update them (`git pull`) and help me maintain them. * Add Thanos Grafana dashboards * Fixes after review * Fixes after review zexuanhuang added a commit to zexuanhuang/thanos that referenced this pull request Jun 27, 2018 Add Thanos Grafana dashboards ( thanos-io#380 ) … Do more in your Grafana dashboard queries. New InfluxDB datasource supports both InfluxQL and Flux. To view the YugabyteDB dashboard, search for the word ‘YugabyteDB’ by going to the ‘Search’ menu on the left (the magnifying glass icon).

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