https://github.com/metrico/qryn-coroot

Tutorial: qryn + coroot eBPF based Monitoring and Troubleshooting
https://github.com/metrico/qryn-coroot

coroot ebpf observability prometheus qryn telemetry

Last synced: about 2 months ago
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Tutorial: qryn + coroot eBPF based Monitoring and Troubleshooting

• Host: GitHub
• URL: https://github.com/metrico/qryn-coroot
• Owner: metrico
• Created: 2022-12-03T12:39:34.000Z (about 2 years ago)
• Default Branch: main
• Last Pushed: 2024-03-12T12:02:06.000Z (10 months ago)
• Last Synced: 2024-03-12T13:30:08.604Z (10 months ago)
• Topics: coroot, ebpf, observability, prometheus, qryn, telemetry
• Homepage: https://blog.qryn.dev/coroot-qryn-turn-telemetry-into-answers
• Size: 25.4 KB
• Stars: 4
• Watchers: 3
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        


# qryn + coroot

[Blog Tutorial](https://blog.qryn.dev/coroot-qryn-turn-telemetry-into-answers): [qryn](https://qryn.dev) + [coroot](https://coroot.com/docs/coroot-community-edition) 

Coroot is a _qryn compatible_ open-source monitoring and troubleshooting tool for microservice architectures.

In this tutorial we'll use Coroot and [Coroot Node-agent](https://coroot.com/docs/metric-exporters/node-agent) to collect system and application metrics using eBPF.

## Requirements

- [qryn](https://qryn.dev) or [qryn.cloud](https://qryn.cloud)

- [grafana](https://grafana.com)

- Docker, docker-compose

## Usage

The provided `docker-compose` will spin up coroot, coroot-agent and vector scraper pointed at your qryn instance

```

export QRYN_URL=http://qryn:3100/prom/remote/write

docker-compose up -d

```

### Coroot UI

#### Configuration

On your first usage, create a new project and point it at your **qryn** API endpoint _(prometheus protocol)_



#### Usage

Once metrics are collected, they will automatically display in the coroot user interface. Happy times!