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ceph

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  Analyzed about 11 hours ago

Ceph is a distributed network file system designed to provide excellent performance, reliability, and scalability. Ceph fills two significant gaps in the array of currently available file systems: 1. Robust, open-source distributed storage — Ceph is released under the terms of the LGPL, which ... [More] means it is free software (as in speech and beer). Ceph will provide a variety of key features that are generally lacking from existing open-source file systems, including seamless scalability (the ability to simply add disks to expand volumes), intelligent load balancing, and efficient, easy to use snapshot functionality. 2. Scalability — Ceph is built from the ground up to seamlessly and gracefully scale from gigabytes to petabytes and beyond. Scalability is considered in terms of ... [Less]

1.86M lines of code

249 current contributors

1 day since last commit

16 users on Open Hub

Very High Activity
5.0
 
I Use This

hazelcast

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  Analyzed about 1 hour ago

Hazelcast is a clustering and highly scalable data distribution platform for Java. Features: Distributed implementations of java.util.{Queue, Set, List, Map} Distributed implementation of java.util.concurrency.locks.Lock Distributed implementation of java.util.concurrent.ExecutorService ... [More] Distributed MultiMap for one-to-many relationships Distributed Topic for publish/subscribe messaging Transaction support and J2EE container integration via JCA Socket level encryption support for secure clusters Synchronous (write-through) and asynchronous (write-behind) persistence Second level cache provider for Hibernate Monitoring and management of the cluster via JMX Dynamic HTTP session clustering Support for cluster info and membership events Dynamic discovery Dynamic scaling Dynamic partitioning with backups Dynamic fail-over Hazelcast is for you if you want to share data/state among many servers (e.g. web session sharing) cache your data (distributed cache) for better performance cluster your application provide secure communication among servers partition your in-memory data send/receive messages among applications distribute workload onto many servers take advantage of parallel processing provide fail-safe data management Hazelcast is pure Java. JVMs that are running Hazelcast will dynamically cluster. Although by default Hazelcast will use multicast for discovery, it can also be configured to only use TCP/IP for enviroments where multicast is not available or preferred. Communication among cluster members is always TCP/IP with Java NIO beauty. Default configuration comes with 1 backup so if one node fails, no data will be lost. It is as simple as using java.util.{Queue, Set, List, Map}. Just add the hazelcast.jar into your classpath and start coding. A test application comes with the Hazelcast distribution that simulates the queue, set, map and lock APIs. You may want to watch the following 12 minute screencast to quickly get started. [Less]

1.45M lines of code

66 current contributors

about 9 hours since last commit

15 users on Open Hub

Very High Activity
5.0
 
I Use This

Kazoo Platform

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  Analyzed about 14 hours ago

Kazoo is a scalable, distributed, cloud-based telephony platform that allows you to build powerful telephony applications with a rich set of APIs. Designed to handle anything from large carrier to small countries, the Whistle infrastructure can do it all. There are no lock-ins and the software is ... [More] open-source to give you complete freedom. Services include: - Complete redundancy and failover between data centers - Complete replication of all data - Use of Map/Reduce algorithms inside NoSQL databases - Multi-master replication and caching of registrations, active channels and call lookups - Load balancing built-in - Event driven messaging for managing and using calls - A complete REST interface for implementing call flow features [Less]

327K lines of code

43 current contributors

about 1 month since last commit

15 users on Open Hub

Very Low Activity
5.0
 
I Use This

Firewall Builder

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  Analyzed about 12 hours ago

Firewall Builder consists of a GUI and set of policy compilers for various firewall platforms. It helps users maintain a database of objects and allows policy editing using simple drag-and-drop operations. The GUI and policy compilers are completely independent, which provides for a consistent ... [More] abstract model and the same GUI for different firewall platforms. It currently supports iptables, ipfilter, ipfw, OpenBSD pf, Cisco PIX, and FWSM. [Less]

571K lines of code

2 current contributors

9 months since last commit

13 users on Open Hub

Very Low Activity
5.0
 
I Use This

Homer SIP Capture

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  Analyzed about 12 hours ago

HOMER is a robust, carrier-grade, scalable SIP Capture system and Monitoring Application with HEP/HEP2, IP Proto4 (IPIP) encapsulation & port mirroring/monitoring support right out of the box, ready to process & store insane amounts of signaling with instant search, end-to-end analysis and ... [More] drill-down capabilities for ITSPs, VoIP Providers and Trunk Suppliers using SIP signaling [Less]

60.8K lines of code

2 current contributors

9 months since last commit

10 users on Open Hub

Very Low Activity
5.0
 
I Use This

JGroups

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  Analyzed about 11 hours ago

JGroups is a toolkit for reliable multicast communication. (Note that this doesn't necessarily mean IP Multicast, JGroups can also use transports such as TCP). It can be used to create groups of processes whose members can send messages to each other. The main features include * Group ... [More] creation and deletion. Group members can be spread across LANs or WANs * Joining and leaving of groups * Membership detection and notification about joined/left/crashed members * Detection and removal of crashed members * Sending and receiving of member-to-group messages (point-to-multipoint) * Sending and receiving of member-to-member messages (point-to-point) [Less]

124K lines of code

13 current contributors

1 day since last commit

10 users on Open Hub

Moderate Activity
4.75
   
I Use This

Apache Flink

Claimed by Apache Software Foundation Analyzed about 10 hours ago

Apache Flink is a framework and distributed processing engine for stateful computations over unbounded and bounded data streams. Flink has been designed to run in all common cluster environments, perform computations at in-memory speed and at any scale. Learn more about Flink at http://flink.apache.org/

2.11M lines of code

323 current contributors

about 23 hours since last commit

9 users on Open Hub

Very High Activity
5.0
 
I Use This

ClusterShell

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Claimed by CEA Analyzed about 12 hours ago

ClusterShell is a event-based python library to execute commands on local or distant cluster nodes in parallel depending on the selected engine and worker mechanisms.

20.9K lines of code

6 current contributors

3 months since last commit

7 users on Open Hub

Very Low Activity
4.6
   
I Use This

Lustre

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  Analyzed about 12 hours ago

Lustre is a scalable, secure, robust, highly-available cluster file system.

667K lines of code

66 current contributors

15 days since last commit

6 users on Open Hub

Very High Activity
4.0
   
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Apache Storm

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Claimed by Apache Software Foundation Analyzed about 6 hours ago

Storm is a free and open source distributed realtime computation system. Storm makes it easy to reliably process unbounded streams of data, doing for realtime processing what Hadoop did for batch processing. Storm is simple, can be used with any programming language. Storm is fast: a benchmark ... [More] clocked it at over a million tuples processed per second per node. It is scalable, fault-tolerant, guarantees your data will be processed, and is easy to set up and operate. Storm integrates with the queueing and database technologies you already use. A Storm topology consumes streams of data and processes those streams in arbitrarily complex ways, repartitioning the streams between each stage of the computation however needed. [Less]

353K lines of code

45 current contributors

3 days since last commit

6 users on Open Hub

Moderate Activity
5.0
 
I Use This