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maestroserver/scheduler-maestro

By maestroserver

•Updated almost 5 years ago

Schedule App - Maestro Server

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maestroserver/scheduler-maestro repository overview

⁠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

⁠Installation by docker
docker run -e "MAESTRO_DATA_URI=http://data:5000" -e "CELERY_BROKER_URL=amqp://rabbitmq:5672" maestroserver/scheduler-maestro

docker run -e "MAESTRO_DATA_URI=http://data:5000" -e "CELERY_BROKER_URL=amqp://rabbitmq:5672" maestroserver/scheduler-maestro-celery

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

    scheduler_worker:
        image: maestroserver/scheduler-maestro-celery
        environment:
        - "MAESTRO_DATA_URI=http://data:5000"
        - "MAESTRO_DISCOVERY_URI=http://discovery:5000"
        - "MAESTRO_ANALYTICS_URI=http://analytics:5020"
        - "MAESTRO_REPORT_URI=http://reports:5005"
        - "CELERY_BROKER_URL=amqp://rabbitmq:5672"
        - "MAESTRO_MONGO_URI=localhost"
        - "MAESTRO_MONGO_DATABASE=maestro-client"
⁠Env variables
Env VariablesExampleDescription
MAESTRO_DATA_URIhttp://localhost:5010⁠Data Layer API URL
MAESTRO_DISCOVERY_URIhttp://localhost:5000⁠Discovery App URL
MAESTRO_ANALYTICS_URIhttp://localhost:5020⁠Analytics App URL
MAESTRO_REPORT_URIhttp://localhost:5005⁠Report App URL
CELERY_BROKER_URLXXXXRabbitmq URL
MAESTRO_MONGO_URIlocalhostMongo URI
MAESTRO_MONGO_DATABASEmaestro-clientMongo Database name
⁠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

Tag summary

Content type

Image

Digest

Size

60.7 MB

Last updated

almost 5 years ago

docker pull maestroserver/scheduler-maestro