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Releases: RADAR-base/radar-helm-charts

cc-schema-registry-proxy-0.4.0

13 Jan 12:57
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A Helm chart for Confluent Cloud schema registry proxy. This proxy service is used when RADAR-base platform is used with Confluent Cloud based schema registry. It forwards requests to schema registry with an additonal basic authentication header with Confluent Cloud schema registry credentials. This service will be enabled if cc.enabled = true.

catalog-server-0.7.0

13 Jan 12:57
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A Helm chart for RADAR-base catalogue server. This application creates RADAR-base topics in Kafka, registers schemas in Schema Registry and keeps a catalog of available source types.

app-config-frontend-2.2.0

13 Jan 12:57
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A Helm chart for the frontend application of RADAR-base application config (app-config).

app-config-1.4.0

13 Jan 12:57
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A Helm chart for RADAR-base application config (app-config) backend service which is used as mobile app configuration engine with per-project and per-user configuration.

data-dashboard-backend-0.3.8

03 Jan 08:39
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API for data in the data dashboard

common-2.27.0

26 Dec 12:29
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A Library Helm Chart for grouping common logic between bitnami charts. This chart is not deployable by itself.

radar-output-1.1.0

19 Dec 05:24
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A Helm chart for RADAR-base output restructure service. This application reads data from intermediate storage and restructure the data into project-> subject-id-> data topic -> data split per hour. This service offers few options to choose the source and target of the pipeline.

radar-oura-connector-0.1.0

19 Dec 13:57
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A Helm chart for RADAR-base oura connector. This application collects data from participants via the Oura Web API.

radar-fitbit-connector-0.6.0

19 Dec 13:57
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A Helm chart for RADAR-base fitbit connector. This application collects data from participants via the Fitbit Web API.

radar-timescaledb-0.1.0

18 Dec 13:51
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TimescaleDB is an open-source time-series database optimized for fast ingest and complex queries, built as an extension to PostgreSQL. It leverages PostgreSQL's reliability and ecosystem while adding time-series specific optimizations and features, such as automatic partitioning and compression.