📦 Tiny Observability
qryn + clickhouse on arm64/aarch64
2 min read
War of Giants
There are quite a few amazing benchmarks out there where popular observability giants fight each other with more and less probable cloud scenarios scaling with 7,000 CPU cores and 30 TiB of RAM. Don't try to imagine the costs involved - AWS might charge a penny for your thoughts! 💵
What about tiny setups?
Most observability systems are ultimately designed for the cloud - their own, usually - and while excelling at war games, they often neglect the low-fi hackers trying to run everything on their arm cardboard servers for fun and to push the low end limits.
Our platform targets both mega and micro deployments, through the lightweight qryn JS version designed to run anywhere, including low power resources 🚀
We test on Deta Micros, Glitch Projects, Dynos, Edge workers... and Raspberries!
Let's Install the complete qryn stack on aarch64 platforms
- RaspberryPi 4 or clone (aarch64)
- ARMv8 64-Bit OS (DietPI or Raspbian)
- nodejs 16.x
- clickhouse 22.x arm64
- grafana 9.x
Install ClickHouse (aarch64)
Install ClickHouse and define the default user
curl -O 'https://builds.clickhouse.com/master/aarch64/clickhouse' && chmod a+x ./clickhouse ./clickhouse install
Start the ClickHouse service:
sudo clickhouse start
Install NodeJS (aarch64)
Install nodejs 16 using the official installation script
curl -sSL https://deb.nodesource.com/setup_16.x | sudo bash - sudo apt install -y nodejs
Install qryn using the chosen ClickHouse
npm install -g qryn @pastash/pastash @pastash/output_loki
CLICKHOUSE_AUTH="default:password" \ CLICKHOUSE_SERVER="localhost" \ CLICKHOUSE_DB="qryn" \ pm2 start qryn --name "qryn"
Install Grafana (aarch64)
We're now ready to install Grafana using the
wget https://dl.grafana.com/oss/release/grafana_9.1.6_arm64.deb sudo dpkg -i grafana_9.1.6_arm64.deb
Configure Grafana to use qryn as the datasource for
Since everything is local, we'll use
localhost:3100 as the target for all of them
For more details, please refer to our full provisioning example
That's it! You are ready to start qryn 🎉
That's alright! The above procedure is available as a shell script
It's now time for ingesting and querying your logs, metrics and traces using our general documentation and examples.
Have fun and feel free to share your experience with our community!
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