DataCROP Farro demo deployment

This is a Farro DataCROP version demo deployment instance. It deploys a full-fledged DataCROP infrastructure consisted from 1 stack and 12 containers simulating one edge and one cloud deployment.

REQUIREMENTS

• Docker-CE

Start everything.

Run the following command.

docker-compose -f farro-demo.yml -p farro-demo up -d

Make sure everything has started.

Wait.

Run the following command.

docker ps --filter name=farro-demo --format "table {{.Image}}\t{{.Names}}"

Make sure you see the following.

IMAGE                                        NAMES
faredge/analytics-dashboard:1.0.1            farro-demo_analytics-dashboard_1
faredge/edge-analytics-engine:1.0.3          farro-demo_edge-analytics-engine_1
faredge/open-api-for-analytics:1.0.3         farro-demo_open-api-for-analytics_1
faredge/data-router-and-preprocessor:1.0.3   farro-demo_data-router-and-preprocessor_1
confluentinc/cp-enterprise-kafka:5.0.0       farro-demo_streams_1
aksakalli/mqtt-client:latest                 farro-demo_message-echoer_1
faredge/mqtt-random-data-publisher:1.0.3     farro-demo_random-data-publisher_1
faredge/model-repository:1.0.3               farro-demo_model-repository_1
mongo:3.6.4                                  farro-demo_edge-storage_1
confluentinc/cp-zookeeper:5.0.0              farro-demo_configuration_1
mongo:3.6.4                                  farro-demo_cloud-storage_1
eclipse-mosquitto:latest                     farro-demo_messages_1

Make sure everything works.

Go to http://localhost:8000.

Select Overview from the menu on the left.

Make sure you see the following.

• There is 1 edge gateway.
• There are 2 data kinds.
• There are 2 data interfaces.
• There are 2 data source definitions.
• There is 1 analytics processor definition.
• There are 3 data sources.
• There is 1 analytics instance.

Select Analytics instances from the menu on the left.

Make sure the state of the single instance is Stopped.

Press the |> button.

Make sure the state of the single instance has changed to Running.

Select Data from the menu on the left.

Select Bob temperature in JSON over Kafka from the Data source drop-down.

Make sure that you see new values coming in every 10 seconds.

Select Bob temperature (again) in JSON over Kafka from the Data source drop-down.

Make sure that you see new values coming in every 10 seconds.

Stop everything.

Run the following command.

docker-compose -f farro-demo.yml -p farro-demo down

Clean everything up.

Run the following command (at your own risk).

docker system prune --volumes