Docker

It started as the "I want one song, not a commitment" tool: Lidarr's great for albums, but grabbing a single track you heard on the radio shouldn't require navigating menus or pulling an artist's entire discography. Search, tap, done; that's still the heart of it.

It has since grown well past that brief. Watched Playlists and Watched Artists keep your library current on their own, checking nine playlist platforms plus MusicBrainz for new singles so you don't have to remember to. Multi-source search now reaches proper lossless Monochrome and Soulseek alongside YouTube and SoundCloud; Album mode handles the odd full release; track upgrades, provenance auditing, and multi-user support round out the rest. It's not trying to become Lidarr (see below); it just turns out "grab one song" was the thin end of a much bigger wedge.

Local environment setup using Kafka, ksqlDB, AKHQ, and Schema Registry. Ready-to-use, Docker-based configurations and scripts to run the environment for data engineering workflows, microservices, and ETL pipelines.

https://github.com/cyber-vivo-w1ry4/cyberw1ry4-LAB/forks https://github.com/fadliwiryawirawan-development/cyberw1ry4/forks https://github.com/cyber-vivo-w1ry4/cyberw1ry4-Payment-ecommerce-moneychanger/forks https://github.com/cyber-vivo-w1ry4/CyberSecurity/forks

A containerised & opinionated C/C++ build system

Writing Spring applications in Kotlin, with the framework's first-class support.

This GitLab project is not meant to be cloned or used directly.

Its contents are synchronized from the ./SeedProject/ directory of the CMagneto Framework repository and are automatically pushed by the CMagneto CI Bot.

This project exists solely as infrastructure for the seed project:

Docker image registry; CI runner for seed project pipelines; package registry for built installation artifacts.

CMagneto is a framework and seed (template) project for bootstrapping CMake-based C++ projects. It provides out-of-the-box setup for tooling, third-party dependency handling, legal files, testing, packaging, and CI.

Distributed geospatial data pipeline using Apache Spark and Apache Sedona to analyze NYC taxi demand hotspots from millions of trip records.

This has moved to https://gitlab.com/ginfra/ The Ginfra developer and operations platform for easy dev, test and deployment. now with kubernetes and AI. And now the WWWHerd AI web workflow application at https://wwwherd.com/

Containerized stack of 1C:Enterprise v8 server + PostgreSQL Pro for 1C

E-commerce backend built with Java 17 + Spring Boot 3, Clean Architecture, Kafka, Elasticsearch, MySQL, JWT auth and observability (Filebeat + Elasticsearch).

A web app that captures and interprets visual data, providing a framed perspective on the insights gained through object detection, segmentation, and pose estimation.

Unified project demonstrating both batch analytics and real-time streaming pipelines with Apache Spark:

Batch (PySpark/Jupyter): Processed S&P 500 stock data, applied transformations, and ran distributed computations.

Streaming (Spark + Kafka): Built a streaming pipeline to consume Kafka topics, process messages in real-time, and visualize outputs.

Deployed using Docker and Jupyter for reproducibility.

This is a docker container setup for ApiOpenStudio developers.

Mimosa CMS - legacy version