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Hystrix is a latency and fault tolerance library designed to isolate points of access to remote systems, services and 3rd party libraries, stop cascading failure and enable resilience in complex distributed systems where failure is inevitable.

Official repository of Trino, the distributed SQL query engine for big data, formerly known as PrestoSQL (https://trino.io)

Hazelcast is a unified real-time data platform combining stream processing with a fast data store, allowing customers to act instantly on data-in-motion for real-time insights.

Bastillion gives you a clean, browser-based way to manage SSH access across all your systems—like a bastion host with a friendly dashboard.

  • ssh
  • bastion-host
  • java
  • javascript

Manifold is a Java compiler plugin, its features include Metaprogramming, Properties, Extension Methods, Operator Overloading, Templates, a Preprocessor, and more.

  • java
  • intellij
  • json
  • template-engine

A distributed data integration framework that simplifies common aspects of big data integration such as data ingestion, replication, organization and lifecycle management for both streaming and batch data ecosystems.

  • data
  • ingestion
  • replication
  • management

Microservices library - scalecube-services is a high throughput, low latency reactive microservices library built to scale. It features: API-Gateways, service-discovery, service-load-balancing, the architecture supports plug-and-play service communication modules and features. built to provide performance and low-latency real-time stream-processing

phase4 - AS4 client and server for integration into existing systems. Specific support for Peppol and CEF eDelivery built-in.

  • as4
  • java
  • eprocurement
  • einvoicing

The Frank!Framework is an easy-to-use, stateless integration framework which allows (transactional) messages to be modified and exchanged between different systems.

  • java
  • system-integration
  • open-source
  • community-driven

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)