moitoi-docker-hive 0.1.10

MoiToi Docker Hive is simple dockrized containers manager

MoiToi Docker Hive

MoiToi Docker Hive is simple docker containers orchestrator, which deploys services as containers and spreads the workloads between number of nodes and acting as cluster.

• Free software: MIT license

• Documentation: https://moitoi-docker-hive.readthedocs.io.

Features

Images

Following images is deployed on first cluster init

Image	Description
mdh_lb	NGINX load balancer image
mdh_backend	Backend image
mdh_elsa	REST API and load balancer config handler
mdh_grafana	Grafana instance
mdh_prom	Prometheus instance
mdh_statsd	Proetheus stats exporter

Every service instance have a Telegraf entrypoint scraped by Prometheus instance. Prometheus data is visualized by Grafana instance

Endpoints

/Service

params

• cluster_id - mdhxx…..

• add_service - Initializes new cluster with one backned node and monitoring infra

• add_node - add’s node to cluster

• rm_node - removes node from cluster

• GET - Without params it will return all clusters and nodes

• POST - Creates new cluster as specified in JSON input.

  { "clusters": "1",
    "replicas" : "1" }

• PUT/PATCH - Updates cluster as specified in JSON input with with cluster_id param.

  { "replicas" : "2" }

• DELETE - Delete cluster cluster cluster_id is specified

/State

params

• cluster_id - mdhxx…..

• GET - Without params it will return all clusters and node states. With cluser_id returns cluster state

/Grafana

Grafana interface. Default admin password is specified is first 10 characters of cluster_id

ToDo

• More documentation

• Increase security level by adding authentitcation

• Decrease docker socket access for ELSA. Currently its fully exposed for all services.

• Remote provider for example VMWare, XEN, etc

• Implement tests

Credits

This package was created with Cookiecutter and the audreyr/cookiecutter-pypackage project template.

History

0.1.0 (2019-12-17)

• First release on PyPI.

0.1.8 (2019-12-30)

• First pre-production release

• GH->CI-Travis->PyPi chain usage