Docs: Plugin doc review - backend topics - chunk 5 (#68662)

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* Update docs/sources/developers/plugins/backend/_index.md

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Signed-off-by: Joe Perez <joseph.perez@grafana.com>
Co-authored-by: Giuseppe Guerra <giuseppe.guerra@grafana.com>
Co-authored-by: Clayton Cornell <131809008+clayton-cornell@users.noreply.github.com>
Co-authored-by: David Harris <david.harris@grafana.com>
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2023-05-26 08:17:38 -05:00
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@@ -13,63 +13,85 @@ title: Backend plugins
# Backend plugins
Grafana added support for plugins in version 3.0 and this enabled the Grafana community to create panel plugins and data source plugins. It was wildly successful and has made Grafana much more useful as you can integrate it with anything and do any type of custom visualization that you want.
The Grafana plugin system for backend development allows you to integrate Grafana with virtually anything and offer custom visualizations. This document explains the system's background, use cases, and key features.
However, one limitation with these plugins are that they execute on the client-side (in the browser) which makes it hard to support certain use cases/features, e.g. enable Grafana Alerting for data sources. Grafana v7.0 adds official support for backend plugins which removes this limitation. At the same time it gives plugin developers the possibility to extend Grafana in new and interesting ways, with code running in the backend (server side).
## Background
We use the term _backend plugin_ to denote that a plugin has a backend component. Still, normally a backend plugin requires frontend components as well. This is for example true for backend data source plugins which normally need configuration and query editor components implemented for the frontend.
Grafana added support for _frontend plugins_ in version 3.0 so that the Grafana community could create custom panels and data sources. It was wildly successful and has made Grafana much more useful for our user community.
Data source plugins can be extended with a backend component. In the future we plan to support additional types and possibly new kinds of plugins, such as notifiers for Grafana Alerting and custom authentication to name a few.
However, one limitation of these plugins is that they run on the client side, in the browser. Therefore, they can't support use cases that require server-side features.
Since Grafana v7.0, we have supported server-side plugins that remove this limitation. We use the term _backend plugin_ to denote that a plugin has a backend component. A backend plugin usually requires frontend components as well. For example, some backend data source plugins need query editor components on the frontend.
## Use cases for implementing a backend plugin
The following examples gives you an idea of why you'd consider implementing a backend plugin:
The following examples give some common use cases for backend plugins:
- Enable [Grafana Alerting]({{< relref "../../../alerting/" >}}) for data sources.
- Connect to non-HTTP services that normally can't be connected to from a web browser, e.g. SQL database servers.
- Keep state between users, e.g. query caching for data sources.
- Connect to SQL database servers and other non-HTTP services that normally can't be connected to from a browser.
- Keep state between users, for example, by query caching for data sources.
- Use custom authentication methods and/or authorization checks that aren't supported in Grafana.
- Use a custom data source request proxy, see [Resources]({{< relref "#resources" >}}).
- Use a custom data source request proxy (refer to [Resources]({{< relref "#resources" >}}) for more information).
## Grafana’s backend plugin system
## Grafana backend plugin system
The Grafana backend plugin system is based on the [go-plugin library by HashiCorp](https://github.com/hashicorp/go-plugin). The Grafana server launches each backend plugin as a subprocess and communicates with it over [gRPC](https://grpc.io/). This approach has a number of benefits:
The Grafana backend plugin system is based on HashiCorp's [Go Plugin System over RPC](https://github.com/hashicorp/go-plugin). Our implementation of the Grafana server launches each backend plugin as a subprocess and communicates with it over [gRPC](https://grpc.io/).
- Plugins can’t crash your grafana process: a panic in a plugin doesn’t panic the server.
- Plugins are easy to develop: just write a Go application and run `go build` (or use any other language which supports gRPC).
- Plugins can be relatively secure: The plugin only has access to the interfaces and arguments that are given to it, not to the entire memory space of the process.
### Benefits for plugin development
Grafana's backend plugin system exposes a couple of different capabilities, or building blocks, that a backend plugin can implement:
Grafana's approach has benefits for developers:
- **Stability:** Plugins can't crash your Grafana process: a panic in a plugin doesn't panic the server.
- **Ease of development:** Plugins can be written in any language that supports gRPC (for example, write a Go application and run `go build`).
- **Security:** Plugins only have access to the interfaces and arguments given to them, not to the entire memory space of the process.
### Capabilities of the backend plugin system
Grafana's backend plugin system exposes several key capabilities, or building blocks, that your backend plugin can implement:
- Query data
- Resources
- Health checks
- Collect metrics
- Streaming
### Query data
#### Query data
The query data capability allows a backend plugin to handle data source queries that are submitted from a [dashboard]({{< relref "../../../dashboards/" >}}), [Explore]({{< relref "../../../explore/" >}}) or [Grafana Alerting]({{< relref "../../../alerting/" >}}). The response contains [data frames]({{< relref "../data-frames/" >}}), which are used to visualize metrics, logs, and traces. The query data capability is required to implement for a backend data source plugin.
The query data capability allows a backend plugin to handle data source queries that are submitted from a [dashboard]({{< relref "../../../dashboards/" >}}), [Explore]({{< relref "../../../explore/" >}}) or [Grafana Alerting]({{< relref "../../../alerting/" >}}). The response contains [data frames]({{< relref "../data-frames/" >}}), which are used to visualize metrics, logs, and traces.
### Resources
{{% admonition type="note" %}} Backend data source plugins are required to implement the query data capability.{{%
/admonition %}}
The resources capability allows a backend plugin to handle custom HTTP requests sent to the Grafana HTTP API and respond with custom HTTP responses. Here, the request and response formats can vary, e.g. JSON, plain text, HTML or static resources (files, images) etc. Compared to the query data capability where the response contains data frames, resources give the plugin developer a lot of flexibility for extending and open up Grafana for new and interesting use cases.
#### Resources
The resources capability allows a backend plugin to handle custom HTTP requests sent to the Grafana HTTP API and respond with custom HTTP responses. Here, the request and response formats can vary. For example, you can use JSON, plain text, HTML, or static resources such as images and files, and so on.
Compared to the query data capability, where the response contains data frames, the resources capability gives the plugin developer more flexibility for extending and opening up Grafana for new and interesting use cases.
### Use cases
Examples of use cases for implementing resources:
- Implement a custom data source proxy in case certain authentication/authorization or other requirements are required/needed that are not supported in Grafana's [built-in data proxy]({{< relref "../../http_api/data_source/#data-source-proxy-calls" >}}).
- Return data or information in a format suitable to use within a data source query editor to provide auto-complete functionality.
- Return static resources, such as images or files.
- Send a command to a device, such as a micro controller or IOT device.
- Request information from a device, such as a micro controller or IOT device.
- Implement a custom data source proxy to provide certain authentication, authorization, or other requirements that are not supported in Grafana's [built-in data proxy]({{< relref "../../http_api/data_source/#data-source-proxy-calls" >}}).
- Return data or information in a format suitable for use within a data source query editor to provide auto-complete functionality.
- Return static resources such as images or files.
- Send a command to a device, such as a microcontroller or IoT device.
- Request information from a device, such as a microcontroller or IoT device.
- Extend Grafana's HTTP API with custom resources, methods and actions.
- Use [chunked transfer encoding](https://en.wikipedia.org/wiki/Chunked_transfer_encoding) to return large data responses in chunks or to enable "basic" streaming capabilities.
- Use [chunked transfer encoding](https://en.wikipedia.org/wiki/Chunked_transfer_encoding) to return large data responses in chunks or to enable certain streaming capabilities.
### Health checks
#### Health checks
The health checks capability allows a backend plugin to return the status of the plugin. For data source backend plugins the health check will automatically be called when you do _Save & Test_ in the UI when editing a data source. A plugin's health check endpoint is exposed in the Grafana HTTP API and allows external systems to continuously poll the plugin's health to make sure it's running and working as expected.
The health checks capability allows a backend plugin to return the status of the plugin. For data source backend plugins, the health check is automatically called when a user edits a data source and selects _Save & Test_ in the UI.
### Collect metrics
A plugin's health check endpoint is exposed in the Grafana HTTP API and allows external systems to continuously poll the plugin's health to make sure that it's running and working as expected.
A backend plugin can collect and return runtime, process and custom metrics using the text-based Prometheus [exposition format](https://prometheus.io/docs/instrumenting/exposition_formats/). If you’re using the [Grafana Plugin SDK for Go]({{< relref "grafana-plugin-sdk-for-go/" >}}) to implement your backend plugin, then the [Prometheus instrumentation library for Go applications](https://github.com/prometheus/client_golang) is built-in, and gives you Go runtime metrics and process metrics out of the box. By using the [Prometheus instrumentation library](https://github.com/prometheus/client_golang) you can add custom metrics to instrument your backend plugin.
#### Collect metrics
A metrics endpoint (`/api/plugins/<plugin id>/metrics`) for a plugin is available in the Grafana HTTP API and allows a Prometheus instance to be configured to scrape the metrics.
A backend plugin can collect and return runtime, process, and custom metrics using the text-based Prometheus [exposition format](https://prometheus.io/docs/instrumenting/exposition_formats/). If you're using the [Grafana Plugin SDK for Go]({{< relref "grafana-plugin-sdk-for-go/" >}}) to implement your backend plugin, then the [Prometheus instrumentation library for Go applications](https://github.com/prometheus/client_golang) is built-in. This SDK gives you Go runtime metrics and process metrics out of the box. You can use the [Prometheus instrumentation library](https://github.com/prometheus/client_golang) to add custom metrics to instrument your backend plugin.
The Grafana HTTP API offers an endpoint (`/api/plugins/<plugin id>/metrics`) that allows you to configure a Prometheus instance to scrape the metrics.
#### Streaming
The streaming capability allows a backend plugin to handle data source queries that are streaming. For more information, refer to [Build a streaming data source plugin]({{<relref "../build-a-streaming-data-source-plugin.md">}})