ecosystem.Ai Client Pulse Responder scoring runtime and real-time interactions engine.
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This scoring runtime engine and real-time interactions engine.
This container needs to be configured to run in a production environment. Obtain a key from ecosystem.Ai. This container has it's own database configured and can be used to operate as a stand-alone prediction engine.
Basic Startup Options:
docker run --rm -d -p 8091:8091 --env MASTER_KEY=<from ecosystem.Ai> ecosystemai/ecosystem-runtime-solo
Volume to store data:
-v /mydata:/data
Port to access database:
-p 54446:54446
To disable database in container:
--env NO_MONGODB=true
Connect to other ecosystem.Ai containers:
--network ecosystem --net-alias ecosystem-runtime
To add settings to the cli: This example limits the memory usage.
--env CLI_SETTINGS=-XX:MaxPermSize=512m
Set the logging level: Typical settings are INFO, to enable full logging, and ERROR to only report on errors.
--env LOGGING_LEVEL_ROOT=ERROR
Content type
Image
Digest
sha256:0485f992e…
Size
285 MB
Last updated
about 1 month ago
docker pull ecosystemai/ecosystem-runtime-solo