Axiom Demo

The quickest way to try out Axiom for yourself is to run our desktop demo which allows you to run an entire Axiom deployment, including data-shippers, right on your desktop via Docker.

By running this demo, you will have an Axiom instance, Postgresql, Minio plus some data-shipper containers. The demo makes it simple to check out many of Axiom's features as well as compatibility with data-shippers and API-based tools.

The Axiom Demo configuration is open source and we would love your feedback and ideas to make it better!

Running the Demo

This requires Docker and docker-compose to be installed:

git clone https://github.com/axiomhq/axiom-demo.git
cd axiom-demo
docker-compose up -d

Open your browser to :8080 and log in with these credentials:

Email: demo@axiom.co
Password: axiom-d3m0

For api access (i.e. with the cli) there is a personal access token: xapt-274dc2a2-5db4-4f8c-92a3-92e33bee92a8.

See stopping the stack for instructions to tear it down again.

CLI

In addition to the frontend you can play around with the Axiom CLI.

On macOS/Linux you can use Homebrew to install it with:

brew tap axiomhq/tap
brew install axiom

See the CLI installation docs for other installation methods.

Authorize the CLI

Log into your axiom-demo deployment like this:

echo xapt-274dc2a2-5db4-4f8c-92a3-92e33bee92a8 | axiom auth login --url="http://localhost:8080" --alias="axiom-demo" -f

Using the CLI

Run axiom --help to see what commands are supported. Here are a few examples:

# List all datasets
axiom dataset list

# Get detailed information about a single dataset
axiom dataset info minio-traces

# List dataset stats
axiom dataset stats

# Stream logs into your terminal
axiom stream postgres-logs

# Create a dataset
axiom dataset create --name my-dataset --description "My dataset"

# Ingest into a dataset
axiom ingest my-dataset < file.json

Stopping the Demo

Run docker-compose stop to stop the stack, docker-compose start to start it again.

If you want to clean up, run docker-compose down -v to remove all containers and volumes. The docker images will persist on your machine unless you manually delete them.