Not an answer but yet-another-project to manage grafana dashboards. Not a big deal if Min/Max cover the expected range. We therefore choose a slightly higher threshold of 25 to still be within the green color. The more interesting metrics for queues however are error rate and per-item processing time. In this session, members of the Grafana team will introduce exciting developments that simplify as code working styles. Surely you still want alerts for symptoms in infrastructure/platform/network, particularly if the company reaches a scale where those are handled by separate teams, but those alerts then may not need highest priority ("P1")while business-critical symptoms like failing payments of your customers should be P1 alerts. To make the most out of Grafana, you must put your dashboards and configuration in version control. Some small tips and their solution, some with jsonnet examples. Email update@grafana.com for help. Had I known of grafana-dash-gen, I probably wouldnt have written grafanalib. You can still repeat your visualizations for each cluster, or query for by (cluster) if it proves helpfulbut probably rather on low-level dashboards. Other improvements include a new approach to packaging observability resources, making it easy to install and upgrade dashboards and alerts as a single unit; and new tooling that allows you to store your dashboards in GitHub while enjoying the versatility of the Grafana UI, thus making Grafana, Prometheus, and other tools first-class citizens in your DevOps automation workflows. For example, p50 (median), p95 and p99 percentiles are often useful. Mind subtle differences between the built-in choices, e.g. Scope & Features What I wanted to do is a set of dashboards that. They luckily all work the same way for configuration: local files. Email update@grafana.com for help. GrafYAML from Red Hats OpenStack team: https://docs.openstack.org/infra/grafyaml/ Which is understandable, because manually editting the end result and then uploading give the desired result. You have to adapt this article yourself to your respective setup. That means lots of lines, colors, and points to look at before getting your question answered: "is this normal or do we have a problem, and where?". For example, you can grep for metric names or other things that do not exist anymore in your software, and delete those dashboards or visualizations from the code. Employees usually do not open the user settings page, for example to choose light/dark mode or their timezone preference, resulting in inconsistent customer and incident communication regarding dates and times. If you have clusters A and B, of which one serves traffic at a time and the other one is the passive backup, you should not be required to know by heart which cluster is active. The grid position must be specified explicitly: See Panel size and position documentationwidth is split in 24 columns, height is 30 pixels each. Prometheus query: sum by (payment_method, error_type) (increment(payment_errors_total[2m])), Legend: {{payment_method}} / {{error_type}}. Set the category and title of each dashboard so that non-production ones show a clear hint. Templatizing dashboard- splitting the dashboard to smaller entities- rows, panels and targets. We very much enjoy using it here at Weaveworks, and weve already merged many patches from external contributors to support cases that dont matter very much to us here. Panel targets configuration in the template: (! README.md Temporal Grafana Dashboards This repository contains community-driven Grafana dashboards that can be used for monitoring Temporal Server and SDK metrics. Lets set up the generation of our dashboard from code. Does Grafana expose environment variables of alerts, for me to create my own dashboard and views? Deployment means that you have to make the JSON files available to Grafana in some directory. You should experiment a little so that in healthy times, your dashboard remains green. Many metrics only produce non-negative numbers. Once your Grafana dashboards are in a Git repository, everything just becomes simpler. A sample Kubernetes-style Grizzly configuration for creating a dashboard looks like this: Grizzly is best suited for users who are either using Jsonnet to manage Grafana resources or prefer a Kubernetes-style YAML definition of their Grafana resources. I do the repetition based on placeholders context. Bad: "Error rate". By default, hovering over a graph with many series shows them in a box in alphabetical order of the display label, e.g. Provisioning- data sources, notification channels etc. 3) Update the template in code base (git). So, were going to cheat. For other organizational concepts, it might be SREs or infrastructure engineers. Example usage: Alternatively, --ext-code-file seems also a viable option, but I have no experience with it (see external blog post Grafana dashboards and Jsonnet which showcases this parameter). Who is this recommended for? Maybe Grafana could consider adding a "Table of contents" feature to jump around quickly on a dashboard, using a navigation sidebar. The Max setting also defines the upper bound of the graph which is shown as part of the Stat visualization, so if values are higher, the line will cross the top of the Y axis and therefore becomes invisible. Once coded, a dashboard should go through review, and it is very likely that most changes reuse homegrown jsonnet functions instead of reinventing each dashboard from scratch. Posted: February 22, 2023 | 12 min read | Jose Vicente Nunez (Sudoer) Photo by Carlos Muza on Unsplash Here is an example how to consistently show Argo CD sync events on your dashboards. A graph (nowadays called Time series visualization) for our example metric, showing payment method and error type combinations, looks like this: Cool graph, right? Grafana Dashboard getting deleted from Grafana and recreating infinitely with message version updated. I do not explain here how to integrate it with your specific CI tool, but that should be easy if it works locally. Row context. We use kind to simulate a production Kubernetes cluster. Yes, you heard right! Auto-deletion of manually authored changes: Remember my term Deleteday from above? Wasssssuuup! This new version will keep up-to-date with new features in Grafana as they are introduced. In our cluster, we run gfdatasource as a sidecar in our grafana pods, but you dont have to do it like that. We need jsonnet libraries for the outputs we want to generate. Particularly when you have split into several engineering teams or even have a platform infrastructure / DevOps / SRE team, specific monitoring depending on the teams' respective responsibility makes a lot of sense. Combine rate with sum or sum by. There are many links to Grafana documentation and other tools within this article. Installation and maintenance of the observability stack does not belong in this article. A counter in Prometheus represents a value that can only increase. Will probably just start hacking something out with grafanalib and python requests, but would be nice to see an official API client or similar well-trodden path to generating and uploading dashboards. I recommend you use 12 or 24 columns width for readability on small screens, and set a reasonable, consistent height for all visualizations on a dashboard. And once you have developed a dashboard, it is easy to improve in small increments, similar to software code. Create a high-level overview dashboard. Beware however that log text tends to change much more frequently than metric names, and how much slower and more expensive it is to query logs. So I dont assume knowledge of any specific language. Grizzly supports moving dashboards within Grafana instances and also retrieves information about already provisioned Grafana resources. Grafana Cloud is the easiest way to get started with metrics, logs, traces, and dashboards. If the PLACE_HOLDER_CARTESIAN appears in Rows title- generate multiple blocks of panels. Red and green may not be the best options, but I do not have the experience to give help here. It must at least have: See the Grafana documentation to learn more. I am working from Germany and keep seeing confusion between CET/CEST once daylight saving time toggles, and sometimes even do such mistakes myself. For example, the customers with the highest concurrency of API requests. Integrate this with your CI pipeline, et voil, you have a GitOps workflow! This makes code review a pain, and makes it hard to keep your dashboards consistent. Visualization > Y Axis > Decimals: For seconds (s) or other time unit, use 0 decimals, as Grafana automatically shows the appropriate text "ms"/"s"/"min", so the .0 decimal after each axis label is useless. Moving panel IDs upstream to saltstack (and its pillar data, being fed from a Django model) is not desirable. As you can see in the configuration, we use k8s-sidecar to automatically collect all dashboard JSON files into one directory for use by Grafana. on-call engineers during an incident). Powered by Discourse, best viewed with JavaScript enabled, https://docs.openstack.org/infra/grafyaml/, https://github.com/Showmax/grafana-dashboards-generator. The colors could be adapted to show both low range and high range as red, with green for the expected, normal range. Ive written an article about how I solved the upscale API based automation for our website management platform. Especially when the cloud resources do vary slightly between the two environments. This must be visible in visualizations and alert messages. Exactly one value is showntypically a number or human description. On top of dashboards, you can leverage alerts, logs and tracing which together form a simple and helpful look at your stuff, if done rightor a complicated mess like your legacy software code, if done wrong . As explained before, use Calculation > Last if only the latest value is relevantyou do not care about the Average API concurrency over 3 hours while debugging an incident, right? First write a minimal dashboard as code and save as dashboards/payment-gateway.jsonnet: The last command outputs a valid Grafana dashboard as JSON. Since the Last setting does not average at all, your query should do that instead of sampling a single raw value: Prometheus queries such as increment(the_metric[2m]), or rate(the_metric[2m]) if you prefer a consistent unit to work with, will average for you. If you want details on how I set up the rendering of the file, feel free to send a message. Example where auto positioning is harder to implement. This UID can not be set statically, but can be retrieved via API call. However, you cannot just write dashboards as plain JSON as a human. Id be totally in favour of some sort of consolidation. You can hardcode x/y absolute values to your liking, but that is a hassle since you do not want to develop a user interface in an absolute grid, right? And I dont really care about the IDs as long as it works. In such case, group them into rows. A monorepo keeps all observability-related things in one place. grafonnet-lib also looks like an option. Also, do not confuse the order of magnitude: if your data is provided in seconds, do not choose Time / milliseconds since that would show falsified values. Like for the logging rate of your systems, you might want to check for large metrics sporadically, or you may run into unnecessary cost and performance issues. This is cumbersome and should be avoided for the start, unless you really need such a strong distinction by time. [grafana.singlestat.new(Similar to the grafana.dashboard, we . Managing dashboards isnt the simplest process users have to work with long JSONs, which can become difficult to review and update as well. Ideally, this would be maintained as part of Grafana itself. Open your Grafana instance and find the dashboard by its title. Template- JSON file with place holders to be populated with relevant data. Show health at a glance, with a simple indicator that the human eyes can quickly consume (e.g. Training for incidents anyway mostly happens through practice. The Grafonnet library is the official way to develop dashboards using the Jsonnet language. Placeholder- string in a template to be replaced with actual data. Since we switch to blue color from 16%, we get Max = 25 * 100% / 16% = 156. I am going to talk about Data representation. Are people interested in trying to work in that direction? You will surely have different environments, such as dev/staging/prod. The eyes have to scan the whole rendered graph, potentially containing multiple lines on varying bounds of the Y axis. Why? Did I mention I'm a beta, not like the fish, but like an early test version. time window of every deployment), since people will forget the procedure, get the timezone wrong, and it only adds an unnecessary burden which should be automated. Ensure you are still pointing KUBECONFIG to the desired Kubernetes cluster, and test dashboard deployment like so: Head over to the Grafana instance running in Kubernetes, and you see that the dashboard was already loaded. Grafana dashboards best practices and dashboards-as-code April 21, 2022 Grafanais a web-based visualization tool for observability, and also part of a whole stack of related technologies, all based on open source. Grafana reads dashboards from a directory structure. Even if you use WYSIWYG editing and storage, the dashboard is stored as Grafana-specific JSON, not transferable at all to other providers. disk full 0-100%) and want to have a consistent display. Go to setting Display > Hover tooltip > Sort order and adjust to your liking (e.g. Instead of jb, you could also use Git submodules, but probably will regret it after adding more dependenciesI did not test that alternative. A sample Terraform configuration for creating a dashboard looks like this: To get started, see the quickstart guides for the Grafana Terraform provider or check out the providers documentation. This only works with Grafana OSS so Grafana Cloud users wont be able to use it. Or it may be multiple technical departments (operations + engineering). That is where dashboards come into play. For our example of an error metric, you want to know if it goes above a threshold, and sum(rate()) does not strictly require distinction by cluster in the high-level visualizations. Do not replicate the panel. For fine-grained analysis, it also often makes sense to create a separate, detailed (low-level) dashboard for each component. Grafana Tutorial: Automating Common Grafana Actions Grafana Dashboards-as-Code For Newcomers We can set up Grafana in various ways: via Ansible on a single server, with containers on Docker or Kubernetes, manually run on the companys historic Raspberry Pi in the CEOs closet, etc. Spike: design doc, tasks define, sizing, and team review of the Dashboard As Code #31047 sizing: 5; For solution 1. we would decrease export dashboard size by removing the default values prototype: Remove default values from dashboard JSON model frontend integration #13887 sizing 13. integrate the solution into Grafana code with frontend changes. After compiling $ jsonnet -o output.json input.jsonnet , the result can be imported into Grafana. Sign up once to watch this recording and you'll have access to all GrafanaCONline sessions. We have found that the ability to define site-specific functions that encode local standards and best practices is key. The Grafana provisioning documentation describes how to use a local directory which Grafana will watch and load dashboards from. I did try reduce to 32, 24, 16 and 8 panels, with 8 in the first row it works, but when I start adding more it gets chaotic. They can include graphs, charts and other displays that make it easy to analyze information. If PLACE_HOLDER_CARTESIAN appears only in targets dictionary then generate multiple targets in the single panel. Even if you use jsonnet, you should use variables instead of filling a hardcoded value into each query. At Weave, we have Grafana dashboards for all of our microservices. My code is not open source (yet). In contrast, a gauge can take an arbitrary value. It will be the first page you open when you get called for an incident. Well demo all the highlights of the major release: new and updated visualizations and themes, data source improvements, and Enterprise features. I dont have any coherent plan, but perhaps these assorted thoughts will help move things along. Representing the entities in the code objects- allows to manipulate their contents, replication and positioning. The article is all about live monitoring of a service/system which could have incidents at any time. As mentioned, I think a good solution survives without training, but instead has proper and concise documentation, and the code speaks for itself. This workflow gives you results within seconds and you only need to refresh in your browser to see saved changes. You may also have the rare case of "too high and too low are both bad" metrics, e.g. Some of the tools we are covering in this guide include Grafana Terraform provider, Grafana Ansible collection, Grafonnet for dashboards, Grizzly, Grafana APIs with GitHub Actions, and Crossplane. Resources for configuration management are available for Grafana through the Ansible collection for Grafana. See pseudo coded setup. Create dashboards solely through code, to avoid having a mess of manually created, unreviewed, inconsistent dashboards after a few weeks, and the need for a company-wide "tooling switch" after a few months or years, only to clean up all of that. Dashboards, dashboards everywhere (as code) | by Dani Baeyens Next, store the following script as watch.sh: Run the script, passing the source files as argument. If you want human descriptions instead of numbers, you can also use the override feature (Field > Value mappings, or for specific fields: Overrides > [create an override] > Add override property > Value Mappings / No value), for instance to replace 0 with the text "no errors". The script listens for changes to the source file and then overwrites the dashboard in your Grafana instance with an API request. Currently using Terraform for provisioning, YAML for Kubernetes manifests (maybe Helm soon, but Helm counts as a language for these purposes), grafanalib for dashboards, Ansible playbooks for configuring nodes, etc. Dashboards are the typical first solution that even small companies or hobbyists can use to quickly get insights of their running software, infrastructure, network, and other data-generating things such as edge devices. Hi, have any of you found a way to force the grid_position of the panels json file to be forced in the dashboard? Prometheus Dashboard 12. Business Intelligence Dashboard 13. We want to load the committed, generated dashboards. But when we generate multiple targets from a single RefID (see cartesian replacement) the alert pointing this specific RefID has to be replicated accordingly. Metadata in a row context can give you more granular control in the specific block of panels. Product-unrelated dashboards, such as monitoring for Kubernetes clusters or infrastructure, can go into a separate category. With jsonnet, use grafana.graphPanel.new(sort="decreasing") (not documented as of 2022-04). It depends on your company how many of those make sense. If you have microservices of the same type, as in this example one service per payment method, the metrics really mean the same thing.
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