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Useful if you plan to deploy ThingsBoard on AWS.
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RabbitMQ is recommended if you don’t have much load and you already have experience with this messaging system.ĪWS SQS is a fully managed message queuing service from AWS. However, some providers also have managed services for Kafka. It is also useful if you like to stay independent from your cloud provider. It is useful for both on-prem and private cloud deployments. This queue is used on the most of ThingsBoard production environments now. Kafka is recommended for production deployments. It is useful for development(PoC) environments and is not suitable for production deployments or any sort of cluster deployments.
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In Memory queue implementation is built-in and default.
DOCKER INSTALL MAC COMMAND LINE HOW TO
How to choose the right queue implementation? ThingsBoard is able to use various messaging systems/brokers for storing the messages and communication between ThingsBoard services. You can choose any other images with different databases (see above). In this instruction thingsboard/tb-postgres image will be used. Note: Not recommended for any evaluation or production usage and is used only for development purposes and automatic tests. Thingsboard/tb - single instance of ThingsBoard with embedded HSQLDB database. The most performant and recommended option but requires at least 4GB of RAM. Thingsboard/tb-cassandra - single instance of ThingsBoard with Cassandra database. Recommended option for small servers with at least 1GB of RAM and minimum load (few messages per second). Thingsboard/tb-postgres - single instance of ThingsBoard with PostgreSQL database. Runningĭepending on the database used there are three type of ThingsBoard single instance docker images: In this Docker Tutorial – Docker Commands, we have learnt about all docker commands with examples.Don’t forget to add your linux user to the docker group. docker rmi java-applicationĭeleted: sha256:0be5de5c6f51ffceb18078c42d6e11d94cf844ac1e06841c9bf993a9718cc325ĭeleted: sha256:7b122f46772561d5ccd27c5d5a9524c9de4071f3a22234fb2eaa709d42e874b8ĭeleted: sha256:2de3fc280f40633a189f24c154faa7c136ba8afbffb9238b8342f06b8bb5d461 Docker Container Commands Show Running Containers $ docker ps docker psĬONTAINER ID IMAGE COMMAND CREATED STATUS PORTS NAMES Show All Containers $ docker ps -a docker ps -aĬONTAINER ID IMAGE COMMAND CREATED STATUS PORTS NAMESħ43.6.033ea0 java-application "java HelloWorld" 2 minutes ago Exited (0) 2 minutes ago awesome_hopperģb76a109a28f java-application "java HelloWorld" 5 minutes ago Exited (0) 5 minutes ago nostalgic_colden Show Latest Created Container $ docker ps -l docker ps -lħ43.6.033ea0 java-application "java HelloWorld" 4 minutes ago Exited (0) 4 minutes ago awesome_hopper Stop Container $ docker stop docker stop 743.6.033ea0ħ43.6.033ea0 Remove Container $ docker rm docker rm 743.6.033ea0 When you list the docker images, you get the image id under IMAGE ID column. Java-application.tar Remove a Docker image $ docker rmi tar file $ docker save -o docker save -o /home/arjun/java-application.tar cd ls java-appl* HelloWorld from Java Application running in Docker. Successfully tagged Run a Docker image $ docker run docker run java-application Removing intermediate container 8fccd7a65ce1
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Removing intermediate container 9c9eb847d3e1 Removing intermediate container 839d56d42bdf Step 3/5 : WORKDIR /home/arjun/workspace/docker/java Removing intermediate container 7568d6b873a2 Sending build context to Docker daemon 3.072kB The directory should contain Dockerfile, from which you are running the command in Terminal. Hello-world latest c54a2cc56cbb 14 months ago 1.85kB Create a Docker Image $ docker build -t. Python latest 26acbad26a2c 5 days ago 690MB