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https://github.com/kodless/leek

Celery Tasks Monitoring Tool
https://github.com/kodless/leek

celery distributed flower monitor monitoring-tool python queue rabbitmq redis task worker

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Celery Tasks Monitoring Tool

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# Leek




Leek Celery Monitoring Tool


Celery Tasks Monitoring Tool


Documentation: https://tryleek.com



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### What is Leek?

Leek is a celery tasks monitoring tool, the main difference between Leek and other monitoring tools is that Leek can
connect to and monitor many brokers with a single container whereas other tools can monitor only a single broker at a
time.

Also leek supports environments branching, multiple applications, Google SSO, charts, issues monitoring, advanced
filtering and search, indexation and persistence, slack notifications and provides an awesome UI for a better user
experience.

Leek came to remediate the issues found with other celery monitoring tools and provide a reliable results and cool
features to ease the process of monitoring your celery cluster, finding and respond to issues quickly.

### What Leek is not?

Leek is not a celery tasks/workers control tool and you cannot use leek to revoke/terminate/start tasks, restart your
workers fleet, or manage your brokers. however control features could be supported with future releases.

Leek is not a package that can be installed/imported but a full stack application published as a docker image.

### Features

As opposed to many other alternatives, leek came to fix the issues existing in other tools and offer many other cool
features that does not exist in other tools:

- `Google SSO` - you can connect to leek using GSuite accounts for organizations and standard GMail accounts for
individuals.

- `Multi brokers support` - other monitoring tools can connect to only one broker at a time, which enforces you to
deploy many instances to monitor them all. however, Leek with its Agent, it can monitor tasks from multiple brokers with
only a single instance of leek.

- `Multi ENVs support` - when connecting Leek agent to brokers, you can specify an environment tag for that broker and
each event sent from that broker will be tagged with that environment name, allowing you to split celery events into
qa, stg, prod subsets so later you can filter task by environment name.

- `Enhanced storage` - unlike other alternatives that stores the events in volatile RAM, celery events are indexed to
elasticsearch to offer persistence and fast retrieval/search.

- `Beatiful UI` - unlike other alternatives which are either a command line tool or have an ugly UI, Leek offers a
great user experience thanks to its beautiful well designed UI.

- `Notification` - you can define notification rules that will trigger a slack notification to inform you about critical
events, the notification triggers rules can match against task state, task name exclusion/exclusions, environment name,
and runtime upper bound.

- `Monitor Issues` - Leek can also monitor issues by aggregating the failed tasks by exception name, and for each
exception it will calculate occurrences, recovered, pending, failed and critical exceptions.

- `Charts` - Leek generate multiple charts giving you an idea about the application state, these chart includes:
tasks states distribution, tasks queues distribution, top 5 executed tasks, top 5 slow tasks, tasks execution over time,
tasks queue over time, tasks failure over time ...

- `Filter by anything` - unlike other alternatives that doesn't provide a good support for filters, leek provides a wide
range of filters.

- `Tasks control` - for now leek can retry tasks only, more tasks/workers control features may be introduced in the
future.

### Running a local demo

To experiment with leek, you can run one of these demo docker-compose files:
- [RabbitMQ Demo](https://github.com/kodless/leek/blob/master/demo/docker-compose-rmq-no-auth.yml)

```bash
curl -sSL https://raw.githubusercontent.com/kodless/leek/master/demo/docker-compose-rmq-no-auth.yml > docker-compose.yml
docker-compose up
```

- [Redis Demo](https://github.com/kodless/leek/blob/master/demo/docker-compose-redis-no-auth.yml)

```bash
curl -sSL https://raw.githubusercontent.com/kodless/leek/master/demo/docker-compose-redis-no-auth.yml > docker-compose.yml
docker-compose up
```

This is an example of a demo, that includes 4 services:

- Leek main application
- A RabbitMQ or Redis broker
- An elasticsearch node
- Demo celery client (publisher)
- Demo celery workers (consumer)

- After running the services with `docker-compose up`, wait for the services to start and navigate to
http://0.0.0.0:8000.

- Create an application with the same name as in `LEEK_AGENT_SUBSCRIPTIONS`, which is `leek`.

- Enjoy the demo

```yaml
version: "2.4"
services:
# Main app
app:
image: kodhive/leek
environment:
# General
- LEEK_API_LOG_LEVEL=WARNING
- LEEK_AGENT_LOG_LEVEL=INFO
# Components
- LEEK_ENABLE_API=true
- LEEK_ENABLE_AGENT=true
- LEEK_ENABLE_WEB=true
# URLs
- LEEK_API_URL=http://0.0.0.0:5000
- LEEK_WEB_URL=http://0.0.0.0:8000
- LEEK_ES_URL=http://es01:9200
# Authentication
- LEEK_API_ENABLE_AUTH=false
# Subscriptions
- |
LEEK_AGENT_SUBSCRIPTIONS=
[
{
"broker": "amqp://admin:admin@mq//",
"broker_management_url": "http://mq:15672",
"backend": null,
"exchange": "celeryev",
"queue": "leek.fanout",
"routing_key": "#",
"org_name": "mono",
"app_name": "leek",
"app_env": "prod",
"prefetch_count": 1000,
"concurrency_pool_size": 2,
"batch_max_size_in_mb": 1,
"batch_max_number_of_messages": 1000,
"batch_max_window_in_seconds": 5
}
]
- LEEK_AGENT_API_SECRET=not-secret
ports:
- 5000:5000
- 8000:8000
depends_on:
mq:
condition: service_healthy

# Just for local demo!! (Test worker)
worker:
image: kodhive/leek-demo
environment:
- BROKER_URL=pyamqp://admin:admin@mq:5672
depends_on:
mq:
condition: service_healthy

# Just for local demo!! (Test client)
publisher:
image: kodhive/leek-demo
environment:
- BROKER_URL=pyamqp://admin:admin@mq:5672
command: >
bash -c "python3 publisher.py"
depends_on:
mq:
condition: service_healthy

# Just for local demo!! (Test broker)
mq:
image: rabbitmq:3.8.9-management-alpine
environment:
- RABBITMQ_DEFAULT_USER=admin
- RABBITMQ_DEFAULT_PASS=admin
- "RABBITMQ_SERVER_ADDITIONAL_ERL_ARGS=-rabbit log [{console,[{level,error}]}]"
ports:
- 15672:15672
- 5672:5672
healthcheck:
test: [ "CMD", "nc", "-z", "localhost", "5672" ]
interval: 2s
timeout: 4s
retries: 20

# Just for local development!! (Test index db)
es01:
image: elasticsearch:7.10.1
container_name: es01
environment:
- node.name=es01
- cluster.name=es-docker-cluster
- cluster.initial_master_nodes=es01
- bootstrap.memory_lock=true
- "ES_JAVA_OPTS=-Xms512m -Xmx512m"
command: ["elasticsearch", "-Elogger.level=ERROR"]
healthcheck:
test: ["CMD-SHELL", "curl --silent --fail localhost:9200/_cluster/health || exit 1"]
interval: 30s
timeout: 30s
retries: 3
ulimits:
memlock:
soft: -1
hard: -1
nofile:
soft: 65535
hard: 65535
ports:
- 9200:9200
```

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[coc]: https://github.com/kodless/leek/blob/master/CODE_OF_CONDUCT.md

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