This plugin can connect to any REST API and present the data to grafana. Go to BigQuery API and Enable the API: Create a … A REST API based on Flask for serving Pandas Dataframes to Grafana. Enable APIs. A Grafana datasource integrates with one GCP Project. Turn any website into beautiful grafana dashboards. JSON Datasource is built on top of the Simple JSON Datasource. Configuring the datasource. You can use CSV,JSON and GraphQL endpoints. Click Generate now to create an API key. This way, a native Python application can be used to directly supply data to Grafana both easily and powerfully. On the Data Sources / New page, enter a name for the data source, then select the type Azure Data Explorer Datasource. Click on the 'Save and Test' button at the bottom of the screen to save your new data source… Grafana Infinity Datasource. Otherwise for simple use cases, you can use Infinity datasource.This is generic implementation for making API requests from Grafana. We have provided a sample dashboard that shows common deployment metrics. Without the expected response, Grafana won't add your data source and will pop up a "HTTP ERROR Bad Gateway" message. Anyone with previous experience? If you want to visualize data from multiple GCP Projects then you can give the service account permissions in each project or create one datasource per GCP Project. The Octopus datasource has two properties: The Octopus server; The Octopus API key; The Octopus datasource configuration. In Settings > Connection details, enter the name of your cluster in the form https://{ClusterName}.{Region}.kusto.windows.net. Copy and paste the API key somewhere safe, as this is the only time you will see it. Select Add data source. Enter the API key in prometheus.yml in the space labeled Password and save the file. Importing the sample dashboard. JSON API Grafana Datasource. Click Log In on the Grafana card. Install Report Bug Github Author Install Report Bug Github ... Inline Data Source. In Grafana, on the left menu, select the gear icon then Data Sources. If our backend responds, Grafana will confirm that the test worked. The JSON Datasource executes requests against arbitrary backends and parses JSON response into Grafana dataframes. Open the side menu by clicking the Grafana icon in the top header; In the side menu click Data Sources; Click the + Add data source in the top header; Select DeviceHive from the Type dropdown; Configure the datasource. Use URLs as datasource. It has refactored code, additional features and active development. But graphing is arguably one Zabbix’s weak points; it still builds static images while other enterprise and consumer applications have set end users’ expectations for graph visualization and interactivity very high. Stack Overflow. Get the data from any public url. Grafana must be restarted to load the new configuration and to then load the Octopus plugin. Here’s what the datasource configuration looks like: And here’s the Flask webserver logs showing Grafana’s GET request: 172.17.0.2 - - [15/Apr/2018 14:56:49] "GET / HTTP/1.1" 200 - And finally, here’s the Python code that is provides the / endpoint. Hi, You can use grafana JSON data source as @mefraimsson explained for specific use cases.. For example: NinjaRMM API Everywhere this is brought up online, the only answer seems to be "use the simple JSON data source", but that only seems to work if your API implents /query which is not a requirement of REST API, and also I'm not sure how you would send the authentication tokens using … It was inspired by and is compatible with the simple json datasource. Very new to Grafana, wondering how I could pull data from an application that uses REST API. This is used to test whether your API is running. This will open your Grafana Cloud instance. Zabbix is an open-source monitoring solution that provides metrics collection, dynamic indexes, alerting, dashboards, and an API for external integration. Do infinite things with Grafana. I'm trying to figure out a way to create a data-source plugin which can communicate with an external REST API and provide relevant data to draw a panel. Use the inline datasource for ad-hoc queries and for static data analysis. Go back to the main portal page.