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 est une base de données de séries temporelles multi-tenant et un magasin de métriques distribué conçu pour la télémétrie évolutive. Il sert de backend compatible avec Prometheus, fournissant un stockage à long terme et un moteur de requête évolutif pour des volumes massifs de données de séries temporelles. Le système est construit pour l'observabilité multi-tenant, isolant les données de télémétrie et les limites de ressources pour des équipes ou organisations indépendantes au sein d'un cluster unique. Il assure une haute disponibilité et durabilité en fragmentant et répliquant les données sur un cluster distribué, utilisant le stockage objet pour la persistance afin d'éliminer les dépendances aux bases de données externes. Le projet couvre de vastes capacités, incluant l'agrégation globale de métriques pour l'analyse inter-régions et l'exécution de requêtes distribuées via la parallélisation et la mise en cache. Il intègre également des outils d'observabilité tels que l'alerte fédérée, la surveillance synthétique et des flux de travail de résolution d'incidents pilotés par l'IA pour accélérer le dépannage. Les contrôles administratifs incluent des quotas de ressources par tenant, des surcharges de ressources par utilisateur et le shuffle-sharding pour l'isolation des charges de travail.

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