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This is sdutil for seismic dms also known as SDMS v3.

Docker image for airflow deployment

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.

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

Alpine Base Docker Image for working with Python3. This base image will allow for container hardening, security scanning and patching.

This project creates a docker container that includes the AWS-CLI plus some development tools.

A collection of GitLab scripts.

These are mostly one-off scripts, designed to solve a particular problem I'm having at the moment. I try to generalize them slightly. If nothing else, they serve as a template for how to do scripting.

Dockerfiles for java,python services

Alpine Base Docker Image for working with Microsoft Zulu OpenJDK This base image will allow for container hardening, security scanning and patching.

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 Source Management Service enables data source management in the Production DDMS which is together with entity and property - is one of key attribute that defines time-series.

The Entity Management Service provides a set of APIs that enables the user to register OSDU Storage records as entities in Production DDMS, put them into relationships (hierarchies) and discover existing entities based on search criteria. Entities are defined through a type like well, meter, valve or platform. Two entities can have multiple entity relationships of a different types. The entities can be retrieved from the system in graph format with upward or downward graph traversal.