helm: added raster helm charts#105
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Pull request overview
Adds new umbrella Helm charts for Raster’s core, export, ingestion, and serving stacks, each wiring together multiple service sub-charts with configurable values.yaml defaults to enable modular deployments.
Changes:
- Introduced 4 new wrapper charts (
core,export,ingestion,serving) with dependency definitions and enablement conditions. - Added initial
values.yamlconfigurations for the Raster service components in each stack. - Included optional observability-related configuration (e.g., nginx/uwsgi exporters, redis metrics).
Reviewed changes
Copilot reviewed 8 out of 8 changed files in this pull request and generated 13 comments.
Show a summary per file
| File | Description |
|---|---|
| charts/raster-core/Chart.yaml | New wrapper chart defining Raster core component dependencies. |
| charts/raster-core/values.yaml | Default configuration for core services (catalog manager, job tracker, polygon parts manager, cleaner, files-server, nginx-s3-gateway). |
| charts/raster-export/Chart.yaml | New wrapper chart defining Raster export component dependencies and aliases. |
| charts/raster-export/values.yaml | Default configuration for export services (gpkg-merger, trigger, overseer, polygon-parts-worker). |
| charts/raster-ingestion/Chart.yaml | New wrapper chart defining Raster ingestion component dependencies. |
| charts/raster-ingestion/values.yaml | Default configuration for ingestion services (gpkg-merger, mapproxy-api, cache-seeder, ingestion-trigger, overseer, geoserver-api, polygon-parts-worker). |
| charts/raster-serving/Chart.yaml | New wrapper chart defining Raster serving component dependencies including redis. |
| charts/raster-serving/values.yaml | Default configuration for serving services (pycsw, mapproxy, pp-geoserver, redis) including exporter settings. |
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| image: | ||
| repository: raster/polygon-parts-worker | ||
| tag: v2.3.0 | ||
| instanceType: &instanceType "export" |
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| - name: polygon-parts-worker | ||
| version: 2.3.0 | ||
| condition: polygon-parts-worker.enabled | ||
| alias: exporter-polygon-parts-worker |
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| prometheusExporter: | ||
| enabled: true | ||
| image: | ||
| repository: common/nginx/nginx-prometheus-exporter | ||
| tag: 1.4.1 |
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| prometheusExporter: | ||
| enabled: true | ||
| image: | ||
| repository: common/nginx/nginx-prometheus-exporter | ||
| tag: 1.4.1 |
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| uwsgiExporter: | ||
| image: | ||
| repository: "timonwong/uwsgi-exporter" | ||
| tag: "latest" |
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| jobDefinitions: | ||
| tasks: | ||
| validation: | ||
| reportsDownloadPath: "/validation-reports" |
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| jobDefinitions: | ||
| tasks: | ||
| validation: | ||
| reportsDownloadPath: "/validation-reports" |
| exportTasksFlow: | ||
| - init | ||
| - tilesExporting | ||
| # - polygon-parts # disabled by deisgn until we will support it |
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| uwsgiExporter: | ||
| image: | ||
| repository: "timonwong/uwsgi-exporter" | ||
| tag: "latest" |
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| uwsgiExporter: | ||
| image: | ||
| repository: "timonwong/uwsgi-exporter" | ||
| tag: "latest" |
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This pull request introduces new Helm charts and their corresponding
values.yamlfiles for the core Raster services, as well as for the export, ingestion, and serving components. These charts define the deployment structure, dependencies, and configuration for each service, enabling modular and configurable deployments of the Raster platform.The most important changes are:
New Helm charts for Raster services:
raster-core,raster-export,raster-ingestion, andraster-servingHelm charts, each with aChart.yamlspecifying service dependencies, versions, and OCI repositories for sub-charts. [1] [2] [3] [4]Service configuration and customization:
values.yamlfiles for each chart, allowing configuration of images, versions, environment variables, and service-specific settings for all core components (e.g., catalog manager, job tracker, polygon-parts-manager, files-server, nginx-s3-gateway, gpkg-merger, overseer, pycsw, mapproxy, redis, pp-geoserver, etc.). [1] [2] [3] [4]Dependency management and conditional deployment:
conditionfield) and supports aliasing of sub-charts, enabling flexible deployment scenarios and easier maintenance. [1] [2] [3] [4]Support for monitoring and metrics:
Service-specific environment and operational parameters: