Maestro Server

Maestro Server is an open source software platform for management and discovery servers, apps and system for Hybrid IT. Can manage small and large environments, be able to visualize the latest multi-cloud environment state.

Demo

To test out the demo, Demo Online

Maestro Server - Scheduler

Scheduler App is accountable to manage and execute internal jobs.

• Schedule jobs, interval or crontab
• Do chain jobs

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Scheduler use apscheduler to control scheduler jobs, Apscheduler documentation <https://apscheduler.readthedocs.io/en/latest/>_

Core API:

• Celery Beat (Mongo Scheduler)
• Worker - Webhook
• Worker - Connections
• Worker - Chain
• Worker - Chain Exec
• Worker - Depleted Job
• Worker - Notify Event

TechStack

• Python <3.6
• Celery
• RabbitMq
• MongoDB

Connect to:

• Maestro Data

Setup

Installation by docker

version: '2'

services:
    scheduler:
        image: maestroserver/scheduler-maestro
        environment:
        - "MAESTRO_DATA_URI=http://data:5000"
        - "CELERY_BROKER_URL=amqp://rabbitmq:5672"
        - "MAESTRO_MONGO_URI=mongodb://localhost"
        - "MAESTRO_MONGO_DATABASE=maestro-client"

    scheduler:
        image: maestroserver/scheduler-maestro-celery
        environment:
        - "MAESTRO_DATA_URI=http://data:5000"
        - "CELERY_BROKER_URL=amqp://rabbitmq:5672"
        - "MAESTRO_MONGO_URI=mongodb://localhost"
        - "MAESTRO_MONGO_DATABASE=maestro-client"

Dev Env

cd devtools/

docker-compose up -d

Configure rabbitmq, data layer app in .env file

MAESTRO_DATA_URI=http://data:5000
MAESTRO_MONGO_URI=mongodb://localhost
MAESTRO_MONGO_DATABASE=maestro-client
CELERY_BROKER_URL="amqp://localhost:5672"
CELERYD_TASK_TIME_LIMIT=30

Install pip dependences

pip install -r requeriments.txt

Run beat

celery -A app.celery beat -S app.schedulers.MongoScheduler --loglevel=info

or 

npm run beat

Run workers

celery -A app.celery worker --loglevel=info

or 

npm run worker

Env variables

Env Variables	Example	Description
MAESTRO_DATA_URI	http://localhost:5010	Data Layer API URL
MAESTRO_REPORT_URI	http://localhost:5005	Report App URL
MAESTRO_DISCOVERY_URI	http://localhost:5000	Discovery App URL
MAESTRO_ANALYTICS_URI	http://localhost:5020	Analytics App URL
CELERY_BROKER_URL	XXXX	Rabbitmq URL
MAESTRO_MONGO_URI	mongodb://localhost	Mongo URI
MAESTRO_MONGO_DATABASE	maestro-client	Mongo Database name
MAESTRO_SECRETJWT_PRIVATE	XXX	Secret Key - JWT private connections
MAESTRO_NOAUTH	XXX	Secret Pass to validate private connections

Contribute

Are you interested in developing Maestro Server, creating new features or extending them?

We created a set of documentation, explaining how to set up your development environment, coding styles, standards, learn about the architecture and more. Welcome to the team and contribute with us.

See our developer guide

Contact

We may be able to resolve support queries via email. Please send me a message here

Donate

I have made Maestro Server with my heart, think to solve a real operation IT problem. Its not easy, take time and resources.

The donation will be user to:

• Create new features, implement new providers.
• Maintenance libs, securities flaws, and technical points.

Sponsor