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The Partition Service dynamically pulls the correct connection information at runtime to connect to the correct partition.

Docs: https://osdu.pages.opengroup.org/platform/system/partition

Google Cloud Infrastructure provisioning scripts and templates.

Terraform module for deploying and managing OSDU services on Google Cloud Platform using Helm charts. Provides automated deployment and configuration of microservices in GKE (Google Kubernetes Engine) clusters.

Legal service is to help ensure data compliance with legal data governance when dealing with data in the Data Ecosystem by managing legal tags

Docs: https://osdu.pages.opengroup.org/platform/security-and-compliance/legal

This project contains the Production and Reservoir Data Management micro-services which, along with the associated relational data model, as part of Halliburton's contribution.

Repository for the Rock & Fluid Sample DDMS services for OSDU.

The Storage Service handles metadata ingestion in OSDU.

Docs: https://osdu.pages.opengroup.org/platform/system/storage

The Search Service supports full-text search on string fields, range queries on date, numeric or string fields, along with geo-spatial search.

Docs: https://osdu.pages.opengroup.org/platform/system/search-service

Contains the organization and governance material for PMC and associated projects.

Docker image for airflow deployment

The Time-series Management Service allows users to ingest time-series bulk data as a array of data points. The data can be written for set of entities, properties and source. User access is restricted through entitlements. The data ingested supports bi-temporality.

The Time-series Publisher Core (or internal) Service is a part of time-series ingestion pipeline. Processes ingestion messaging queue and prepares data for Time-series Storage Core Service.

The Property Discovery Service features enables the user to query and scan through the catalog of the available set of properties using various search criteria.

The Time-series Storage Core (or internal) Service is a final step in time-series ingestion pipeline. Processes published ingestion messages and stores data to the Time-series Storage.

Time-series Query Core (or internal) Service provides low level APIs for fetching data streams from Time-series Store.