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"WiredX is an X Window System server, written in pure JavaTM. WiredX enables you to allow access to UNIX/X applications from all web browsers with Java2 Plug-in and WiredX-Lite enables you to allow access to UNIX/X applications from web browsers(without Java Plug-in), IE, Netscape."

"Snappy is a compression/decompression library. It does not aim for maximum compression, or compatibility with any other compression library; instead, it aims for very high speeds and reasonable compression. For instance, compared to the fastest mode of zlib, Snappy is an order of magnitude faster for most inputs, but the resulting compressed files are anywhere from 20% to 100% bigger. On a single core of a Core i7 processor in 64-bit mode, Snappy compresses at about 250 MB/sec or more and decompresses at about 500 MB/sec or more. Snappy is widely used inside Google, in everything from BigTable and MapReduce to our internal RPC systems. (Snappy has previously been referred to as "Zippy" in some presentations and the likes.)"

"LZ4 is a very fast lossless compression algorithm, providing compression speed at 300 MB/s per core, scalable with multi-cores CPU. It also features an extremely fast decoder, with speeds up and beyond 1GB/s per core, typically reaching RAM speed limits on multi-core systems."

"Batman.js is a framework for building rich web applications with CoffeeScript or JavaScript. App code is concise and declarative, thanks to a powerful system of view bindings and observable properties. The API is designed with developer and designer happiness as its first priority."

"Shark is a large-scale data warehouse system for Spark designed to be compatible with Apache Hive. It can execute Hive QL queries up to 100 times faster than Hive without any modification to the existing data or queries. Shark supports Hive's query language, metastore, serialization formats, and user-defined functions, providing seamless integration with existing Hive deployments and a familiar, more powerful option for new ones."

"Abstract algebra for Scala. This code is targeted at building aggregation systems (via Scalding or Storm). It was originally developed as part of Scalding's Matrix API, where Matrices had values which are elements of Monoids, Groups, or Rings. Subsequently, it was clear that the code had broader application within Scalding and on other projects within Twitter."

"Configuration library for JVM languages. Overview implemented in plain Java with no dependencies extensive test coverage supports files in three formats: Java properties, JSON, and a human-friendly JSON superset merges multiple files across all formats can load from files, URLs, or classpath good support for "nesting" (treat any subtree of the config the same as the whole config) users can override the config with Java system properties, java -Dmyapp.foo.bar=10 supports configuring an app, with its framework and libraries, all from a single file such as application.conf parses duration and size settings, "512k" or "10 seconds" converts types, so if you ask for a boolean and the value is the string "yes", or you ask for a float and the value is an int, it will figure it out. JSON superset features: comments includes substitutions ("foo" : ${bar}, "foo" : Hello ${who}) properties-like notation (a.b=c) less noisy, more lenient syntax substitute environment variables This library limits itself to config files. If you want to load config from a database or something, you would need to write some custom code. The library has nice support for merging configurations so if you build one from a custom source it's easy to merge it in."

"HPaste unlocks the rich functionality of HBase for a Scala audience. In so doing, it attempts to achieve the following goals: Provide a strong, clear syntax for querying and filtration Perform as fast as possible while maintaining idiomatic Scala client code -- the abstractions should not show up in a profiler! Re-articulate HBase's data structures rather than force it into an ORM-style atmosphere. A rich set of base classes for writing MapReduce jobs in hadoop against HBase tables. Provide a maximum amount of code re-use between general Hbase client usage, and operation from within a MapReduce job. Use Scala's type system to its advantage--the compiler should verify the integrity of the schema. Be a verbose DSL--minimize boilerplate code, but be human readable!"

"Typesafe's Director of Engineering, Viktor Klang, equips you with tools and strategies for dealing for system failures."

"NSQ is a realtime message processing system designed to operate at bitly's scale, handling billions of messages per day."

Dapper, a Large-Scale Distributed Systems Tracing Infrastructure

Muy lindo y accesible ejemplito para conocer Akka y sus posibilidades.

"OpenStack and Docker will continue to dominate the open source cloud discussion. But Docker may prove to gain the most as it is also breeding a diverse ecosystem of open source projects. OpenStack is primarily contained (no pun intended) to the development of its own cloud operating system. It does integrate with OpenShift, for example, but for the most part the different groups within OpenStack do the lion's share of development. Docker's influence is such that it is affecting the overall open source community. The projects that are closely tied to Docker, such as Ansible, will continue to grow as developers seek tools to use with the fast growing container technology."

"OpenShift 3.x System Design"

"Zipkin is a distributed tracing system. It helps gather timing data needed to troubleshoot latency problems in microservice architectures."

"A Go web development eco-system, designed to make the life of a Go web developer easier."

"Spinnaker is an open source, multi-cloud continuous delivery platform for releasing software changes with high velocity and confidence. Created at Netflix, it has been battle-tested in production by hundreds of teams over millions of deployments. It combines a powerful and flexible pipeline management system with integrations to the major cloud providers."

"Athens provides a server for Go Modules that you can run. It serves public code and your private code for you, so you don't have to pull directly from a version control system (VCS) like GitHub or GitLab."

"Drone is a Continuous Delivery system built on container technology. Drone uses a simple YAML configuration file, a superset of docker-compose, to define and execute Pipelines inside Docker containers."