internal :host-gateway"Īlso we're setting the volumes as well where you can see we're mounting other servicesĭnsmasq is used to act as a DHCP server inside the container so we can reference these extra hosts inside the container The docker filesĭocker files for our services are really simple and they actually might be redundant and we can even use docker compose directly for this, but for better and clear control we went with docker files Īnd we're also setting the extra hosts so that services can communicate to each other inside the same container extra_hosts: mg_docker/DockerfileĬontext is changed so we can refer to other services which exist on the parent directory of this one. / and since the context is changed we're referring to the docker file with this dockerfile. Now for the main service it has more configuration as you can see, but good thing to notice is that the context is set with context. Important thing to note here is the networks aliases for each service because that's how the services are going to communicate between each other, a good example for this is elasticsearch container aliases: networks:Īnd we're using this alias in kibana container passing it to it's configuration as environment variables environment:ĮLASTICSEARCH_URL: http: //mrgeek_elasticsearch:9200 ELASTICSEARCH_HOSTS: http: //mrgeek_elasticsearch:9200 config directory were it has sub-directories for each service it has its own configuration files plus its own Dockerfile as you can see here: mg_docker/ The first 4 services have common attributes as you can see all of their config we get from a. /mg_file_upload/:/var/app/mg_file_upload/ config/ejabberd/conf/:/opt/ejabberd/conf/ # Nginx configuration from our nginx-edge repo # define parent directory as context so we can get things from other config/nginx/ssl/:/usr/share/kibana/config/ssl/ options:/usr/share/kibana/config/node.options options:/usr/share/elasticsearch/config/jvm.optionsĮLASTICSEARCH_URL: http: //mrgeek_elasticsearch:9200 ELASTICSEARCH_HOSTS: http: //mrgeek_elasticsearch:9200 ports: yml:/usr/share/elasticsearch/config/elasticsearch.yml # Mongo data to be persistent between reboots The compose file version: "3.2" services: Similarly, the following program receives messages from the queue and prints them on the screen:ĪMQP (Advanced Message Queuing Protocol) support is based on the RabbitMQ Java Client and supports AMQP up to 0.9.1.Ĭloudkick used a variety of open source software projects in the construction of its management platform, including: Django, Cassandra, Twisted Python, and RabbitMQ.On the last part, i talked about my try using Kubernetes to orchestrate our local development environment and how it was no good at least at this stage since there was a lot of problems related to mounted volumes, and how pods are communicating so it made more sense to switch to a simpler orchestrator which is Docker Compose. This section gives sample programs written in Python for sending and receiving messages using a queue. Rabbit Technologies Ltd., originally developed RabbitMQ. The following code fragment establishes a connection, makes sure the recipient queue exists, then sends a message and finally closes the connection. The source code is released under the Mozilla Public License. The project became part of Pivotal Software in May 2013. Rabbit Technologies started as a joint venture between LShift and CohesiveFT in 2007, and was acquired in April 2010 by SpringSource, a division of VMware. Client libraries to interface with the broker are available for all major programming languages. The RabbitMQ server is written in the Erlang programming language and is built on the Open Telecom Platform framework for clustering and failover. RabbitMQ is open source message broker software (sometimes called message-oriented middleware) that implements the Advanced Message Queuing Protocol (AMQP).
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