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Real-time monitor and web admin for Asynq distributed task queue

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Asynqmon

Asynqmon is a web based tool for monitoring and administrating Asynq queues and tasks.

Compatibility

Current version of Asynqmon is compatible with Asynq v0.15 or above.

Install

Release binaries

You can download the release binary for your system from the releases page.

Docker image

To pull the docker image:

# Pull the latest image
docker pull hibiken/asynqmon

# Or specify the image by tag
docker pull hibiken/asynqmon[:tag]

Building from source

To build Asynqmon from source code, first ensure that have a working Go environment with version 1.16 or greater installed. You also need Node.js and Yarn installed in order to build the frontend assets.

Download the source code and then run:

make build

The asynqmon binary should be created in the current directory.

Building docker image

To build docker image locally, run:

make docker

Run

To use the defaults, simply run and open http://localhost:8080.

# with a local binary
./asynqmon

# with docker
docker run --rm \
    --name asynqmon \
    -p 8080:8080 \
    hibiken/asynqmon

By default, Asynqmon web server listens on port 8080 and connects to a Redis server listening on 127.0.0.1:6379.

Pass flags to specify port, redis server address, etc.

# with a local binary
./asynqmon --port=3000 --redis_addr=localhost:6380

# with docker (connect to redis-server running on the host machine)
docker run --rm \
    --name asynqmon \
    -p 3000:3000 \
    hibiken/asynqmon --port=3000 --redis_addr=host.docker.internal:6380

# with docker (connect to redis-server running in a docker container)
docker run --rm \
    --name asynqmon \
    --network dev-network \
    -p 8080:8080 \
    asynqmon --redis_addr=dev-redis:6379

To see all available flags, run

# with a local binary
./asynqmon --help

# with docker
docker run hibiken/asynqmon --help

Next, go to localhost:8080 and see Asynqmon dashboard:

Screenshot

License

Asynqmon is released under the MIT license. See LICENSE.

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Real-time monitor and web admin for Asynq distributed task queue

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