Infrastructure orchestration from local to your cloud
- go
- backend
- microservices
- encore
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Infrastructure orchestration from local to your cloud
Provides a simple way to run Selenium Grid with Chrome, Firefox, and Edge using Container Platform, making it easier to perform browser automation at scale
TranslatedOpen-source manuscript of 《深入理解 AI Infra:量化分析与系统设计》 (In-Depth Understanding of AI Infra: Quantitative Analysis and System Design), by 李博杰 (Li Bojie): starting from hardware constraints and model architecture, it quantitatively derives the system design of LLM inference and training. Includes the full text of the book, a PDF, and companion calculation tools and experiments
A Cloud Native traffic orchestration system. (CNCF Project)
A feature complete and high performance multi-group Raft library in Go.
Fullstack Workspace for Humans & Machines
IoT Platform Framework
Distributed Big Data Orchestration Service
Raft library for maintaining a replicated state machine
A platform for packaging and launching blockchain infra. Think docker compose for blockchain
[Go]Distributed Actor/Grain framework for Golang with goodies
A Go library for master-less peer-to-peer autodiscovery and RPC between HTTP services
Spawn - Actor Mesh
Distributed C++ services from embedded to enterprise
A lightweight Peer to Peer Service Bus
An implementation of the Raft distributed consensus protocol, verified in Coq using the Verdi framework
A library that implements the outboxer pattern in go
Ratus is a RESTful asynchronous task queue server. It translated concepts of distributed task queues into a set of resources that conform to REST principles and provides a consistent HTTP API for various backends.
From Idea to Execution - Manage your trading operation across a distributed cluster
Serverless ML Framework
A one-stop solution for moderating discussions and Q&As.
High-performance Distributed Command Pattern (DCP) for Go
distributed data sync with operational transformation/transforms
The legacy distributed object storage server developed by PitchPoint Solutions can store billions of large and small files using minimal resources. Object data is stored in replicated volumes implemented like Facebooks Haystack Object Store. Object metadata which essentially maps an object name to a volume position is stored in an elasticsearch index. (Development by PitchPoint Solutions has been discontinued)