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This project is the home for required helm charts to install OSDU on Azure.

OSDU platform pre-shipping activities - This repository contains KT sessions, work demos, postman collections to support User Acceptance Testing for milestone releases

This project provides Java client libraries for using OSDU core services.

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

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

Wellbore Domain Data Management Services including type-safe entity access and optimized accessors for bulk data such as logs, trajectories, checkshots.

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.

Open Subsurface Data Universe (OSDU) Wellbore-DDMS Worker is a python back-end service used internally by the OSDU Wellbore DDMS. It provides an internal API for accessing Wellbore bulk data.

The Geospatial Consumption Zone (GCZ) is a project spawned by the OSDU Geomatics Workstream to streamline the management and consumption of geospatial data in OSDU by client applications.

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 Service provides functionality for fetching stored time-series by entity, property, source and date-time span. The time-series are handled in a bi-temporal approach, where the version time is the time where the fact has been stored and the physical time where the transaction has happened.

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.

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

Typescript client for open-etp-server, including REST API

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.

OSDU platform pre-shipping activities - This repository contains KT sessions, work demos, postman collections to support User Acceptance Testing for milestone releases

The Stream Storage Core (or internal) Service is a set of low level APIs for time-series data streams management.