Awesome GitHub RepositoriesObject-Storage Persistence

Thanos is a distributed metrics query engine and monitoring scalability suite designed to provide a unified interface for aggregating data from multiple Prometheus servers and clusters. It functions as a high availability monitoring backend that eliminates single points of failure by deduplicating data from replicated instances. The system enables long-term retention by persisting time-series data to cloud-native object storage, allowing for unlimited historical archiving beyond the limits of local disks. It further optimizes this storage through a downsampling and retention manager that comp

Lance is a versioned columnar data format and storage engine designed as a multimodal AI lakehouse. It serves as a vector database storage engine and a cloud object store dataset manager, organizing images, video, audio, and embeddings into a unified format optimized for machine learning workflows. The project distinguishes itself by combining a columnar layout for structured data with a specialized blob store for large multimodal tensors. It implements a hybrid search engine that integrates vector similarity search, full-text search, and SQL analytics on a single dataset, supported by a stor

Mimir es una base de datos de series temporales multi-inquilino y un almacén de métricas distribuido diseñado para telemetría escalable. Sirve como un backend compatible con Prometheus, proporcionando almacenamiento a largo plazo y un motor de consultas escalable para volúmenes masivos de datos de series temporales. El sistema está construido para la observabilidad multi-inquilino, aislando datos de telemetría y límites de recursos para equipos u organizaciones independientes dentro de un mismo clúster. Asegura alta disponibilidad y durabilidad mediante el sharding y la replicación de datos a través de un clúster distribuido, utilizando almacenamiento de objetos para la persistencia y eliminar dependencias de bases de datos externas. El proyecto cubre capacidades de amplio alcance, incluyendo la agregación global de métricas para análisis entre regiones y la ejecución de consultas distribuidas mediante paralelización y caché. También integra herramientas de observabilidad como alertas federadas, monitoreo sintético y flujos de trabajo de resolución de incidentes impulsados por IA para acelerar la resolución de problemas. Los controles administrativos incluyen cuotas de recursos por inquilino, anulaciones de recursos por usuario y shuffle-sharding para el aislamiento de cargas de trabajo.

Helix DB is a distributed graph database and knowledge graph platform that persists nodes and edges on object storage for durable and unlimited scaling. It operates as an ACID-compliant system, ensuring data consistency through serializable snapshot isolation during concurrent operations. The project distinguishes itself by combining a vector search engine and a property graph, utilizing hybrid vector and full-text search to locate entry points for graph traversals. It enables dynamic graph querying through a domain-specific language, allowing complex logic and recursive queries to be execute

SlateDB is a cloud-native key-value store and distributed database engine that utilizes a log-structured merge-tree architecture. It serves as a transactional storage layer designed to persist data directly to cloud object storage. The engine differentiates itself by optimizing read performance for remote storage through the use of bloom filters and multi-level block caching. It employs a single-writer multi-reader model and provides the ability to create zero-copy clones via copy-on-write checkpointing. The system supports atomic transactions, range queries, and snapshot-based concurrency c

Serverless Registry is a container registry service implemented as a serverless application. It provides a platform for hosting and managing container images by leveraging distributed object storage and edge computing to handle image layers and metadata. The project distinguishes itself by utilizing edge-side request proxying and lazy pull-through caching to manage external image dependencies. By fetching and persisting remote images on demand, it improves availability and access speeds for container runtimes. The system also employs chunked stream processing to manage large image layers, ens