ThousandEyes Grafana Dashboard

Extract data from the ThousandEyes REST API and visualize it on your customized Grafana Dashboard. Deploy Grafana, InfluxDBv2 and the Python connector script within a few minutes.

Supported Functions

• Get historic data (custom time range) and pull new data (set your own interval) from your ThousandEyes tests.
• Grafana, a sample Dashboard-template and InfluxDBv2 are already pre-configured
• Collected data is persistent! It will remain untouched even after the containers will be restarted.
• Currently Supported Tests:
  • (Web) Page load
  • (Web) HTTP server
  • (Network) End-to-End metrics
  • (Network) Path visualization

Visuals

Prepare: Create Label (optional), clone git-repo, change settings in config.py

Run: Start containers, copy and insert testId into Grafana

Dashboard-Template Screenshots

Installation

Prerequisites

• git, Docker/Docker-compose installed

Installation Steps

1. Clone repository

git clone https://github.com/flopach/thousandeyes-grafana-dashboard.git

2. Change your desired settings in the docker/py_connector/config.py file.

3. Start all containers from the docker/ directory. This may take some minutes.

docker-compose up

More useful commands:

• Run as daemon mode: docker-compose up -d
• Stops containers: docker-compose down
• Build again the containers (when you changed the Python scripts): docker-compose build

Configuration

Configure: config.py

Simply open docker/py_connector/config.py in any text-editor to set your desired configuration.

• Create OAuth Bearer Token: Account Settings > Users and Roles >> User API Tokens
• 2 data selection options:
  • Default: py_connector will add ALL HTTP-Server and Page-Load tests
  • Option: py_connector will add ONLY tests with the defined label
• time window
• pull interval

Example: When you've created a ThousandEyes page-load test (see below), you will receive data from 4 views:

Configure: Dashboards

Login to Grafana dashboard and configure your dashboard modules by inserting the ThousandEyes testId. Additionally, use the query editor from the InfluxDB UI as a help to create and copy the Flux language syntax snippet.

Login Grafana - http://localhost:3000

• username: admin
• password: admin123

Login InfluxDB - http://localhost:8086

• username: admin
• password: admin123

Configure: docker-compose.yml (optional)

If you are not familiar with Docker compose, go ahead to check the documentation. Basically, 4 containers will be spun up:

• InfluxDBv2: data will be stored outside of the container
• InfluxDBv2 CLI setup instance: Will setup the other InfluxDBv2 container if it is not setup yet
• Grafana Dashboard: configuration settings will be stored outside of the container
• Py connector: Python connector scripts (stored in the py_connector folder)

Good to knows

- InfluxDB Setup Error

When you have already started docker-compose and are re-starting the containers, this error is normal:

influxdb_setup_1  | Error: instance at "http://influxdb:8086" has already been setup
influxdb_setup_1  | See 'influx setup -h' for help
influxdb_setup_1 exited with code 1

- Changing the settings in config.py

When you have already started docker-compose once and would like to change the settings, you need to re-build the py_connector container:

docker-compose build

Versioning

1.0 (Sep 2021) - Initial version

License

This project is licensed under the Cisco Samplel Code License 1.1 - see the LICENSE.md file for details

Further Links

• Cisco DevNet Website