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go-fastdfs is a distributed file system and object storage server designed for building private cloud storage. It provides a FastDFS compatible storage implementation that manages clusters of storage nodes to handle large-scale file uploads and downloads.
The main features of sjqzhang/go-fastdfs are: Distributed Storage, Private Cloud Storage, Distributed File Systems, Distributed Data Replication, FastDFS Compatible Storages, HTTP File Management, HTTP Storage Interfaces, Inter-Node Data Synchronization.
Projects with overlapping indexed features include: happyfish100/fastdfs — FastDFS is a distributed file system and object store designed as a high-capacity file server. It functions as a… hazelcast/hazelcast — Hazelcast is a distributed data platform that combines an in-memory data grid with a stream processing engine to… awesome-selfhosted/awesome-selfhosted — This project is a community-curated directory of open-source software designed for deployment in private server… imazen/imageflow — Imageflow is a high-performance image manipulation library and composition engine available as a C-compatible library,… gluster/glusterfs — GlusterFS is a software-defined distributed file system and scale-out storage cluster that aggregates disk resources… pokeb/asi-http-request — This project is an Objective-C HTTP networking library that provides an object-oriented wrapper for CFNetwork to…
FastDFS is a distributed file system and object store designed as a high-capacity file server. It functions as a cluster storage manager that saves, syncs, and accesses large volumes of unstructured data across a network of distributed servers. The system uses unique identifiers for file retrieval and indexing instead of traditional hierarchical naming to avoid metadata bottlenecks. It manages file attributes through key-value metadata mapping and employs a distributed replication model to ensure high availability and data redundancy across storage groups. The project provides capabilities f
Hazelcast is a distributed data platform that combines an in-memory data grid with a stream processing engine to support real-time analytics and event-driven applications. It functions as a partitioned, distributed key-value store that replicates data across cluster nodes to provide low-latency access and high availability. The platform also serves as a distributed SQL query engine, allowing users to execute standard SQL statements against both in-memory datasets and external data sources. What distinguishes Hazelcast is its use of a distributed consensus subsystem to maintain strongly consis
This project is a community-curated directory of open-source software designed for deployment in private server environments and home labs. It serves as a comprehensive resource for discovering independent, self-hosted alternatives to mainstream cloud services, enabling users to maintain full data ownership and control over their digital infrastructure. The directory is structured through a hierarchical taxonomy that organizes a vast collection of applications into logical categories, ranging from media management and data analytics to private communication and team productivity tools. It dis
Imageflow is a high-performance image manipulation library and composition engine available as a C-compatible library, a command-line image processor, and a dynamic image processing server. It provides the means to decode, encode, and apply complex visual transformations to images through programmatic interfaces, JSON job files, or on-the-fly URL query strings. The system distinguishes itself through a graph-based processing pipeline that allows for single-pass multi-format encoding, generating multiple image sizes and formats from a single decode to reduce overhead. It further features a res