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DRBL (Diskless Remote Boot in Linux) is a solution to managing the deployment of the GNU/Linux operating system across many clients. Imagine the time required to install GNU/Linux on 40, 30, or even 10 client machines individually! DRBL allows for the configuration all of your client computers by installing just one server machine. DRBL provides a diskless or systemless environment for client machines. It works on Debian, Ubuntu, Mandriva, Red Hat, Fedora, CentOS and SuSE. DRBL uses distributed hardware resources and makes it possible for clients to fully access local hardware.

Asombroso: un paper de 1994 de investigadores de Sun en el cual concluyen que "RPC" está roto de varias maneras y que no se puede arreglar con ninguna implementación. Ummm... ¿de qué año era CORBA? ¿de qué año era EJB?

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

Listo... M$ subido al vagón de Docker... palo y a la bolsa. ¿Quién queda afuera? "Oct. 15, 2014 - Microsoft Corp. and Docker Inc., the company behind the fast-growing Docker open platform for distributed applications, on Wednesday announced a strategic partnership to provide Docker with support for new container technologies that will be delivered in a future release of Windows Server. Developers and organizations that want to create container applications using Docker will be able to use either Windows Server or Linux with the same growing Docker ecosystem of users, applications and tools."

"Quest Data Connector for Oracle and Hadoop is a freeware plug-in to Cloudera's Distribution including Apache Hadoop that allows for fast and scalable data transfer between Hadoop and Oracle. Attributes: Transfer data to and from Oracle up to 5 times faster than Sqoop alone. Can easily transfer data to and from Oracle that has no primary key or was not stored in primary key order. Reduces overhead on the Oracle instance: Upwards of 80% reduction in CPU consumption. Up to 95% reduction in IO time. Allows other Oracle workloads to simultaneously run seamlessly without disruption. SLA-driven commercial support available when used as a part of Cloudera Enterprise."

"CoreOS is a Linux distribution that has been rearchitected to provide features needed to run modern clustered infrastructure stacks. The strategies and architectures that influence CoreOS allow companies like Google, Facebook and Twitter to run their services at scale with high resilience. We've implemented them correctly so you don't have to endure the slow, learn-as-you-go infrastructure building process. CoreOS can run on your existing hardware or on most cloud providers. Clustering works across platforms, making it easy to migrate parts of your gear over to CoreOS, or to switch cloud providers while running CoreOS."

"Hipache (pronounce hɪ'pætʃɪ) is a distributed proxy designed to route high volumes of http and websocket traffic to unusually large numbers of virtual hosts, in a highly dynamic topology where backends are added and removed several times per second. It is particularly well-suited for PaaS (platform-as-a-service) and other environments that are both business-critical and multi-tenant."

"MaestroNG, an orchestrator of Docker-based deployments. The original Maestro was developed as a single-host orchestrator for Docker-based deployments. Given the state of Docker at the time of its writing, it was a great first step towards orchestration of deployments using Docker containers as the unit of application distribution. Docker having made significant advancements since then, deployments and environments spanning across several hosts are becoming more and more common and are in the need for some orchestration. Based off ideas from the original Maestro and taking inspiration from Docker's links feature, MaestroNG makes the deployment and control of complex, multi-host environments using Docker containers possible and easy to use. Maestro of course supports declared dependencies between services and makes sure to honor those during environment bring up. MaestroNG is, for now, a command-line utility that allows for automatically managing the orchestrated deployment and bring up of a set of service instance containers that compose an environment on a set of target host machines."

"A Scala productivity framework for Hadoop."

"Faunus is a property graph analytics engine based on Hadoop. A breadth-first version of the graph traversal language Gremlin operates on a vertex-centric property graph data structure. Faunus can be extended with new operations written using MapReduce and Blueprints."

"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."

"Apache Phoenix is a SQL skin over HBase delivered as a client-embedded JDBC driver targeting low latency queries over HBase data. Apache Phoenix takes your SQL query, compiles it into a series of HBase scans, and orchestrates the running of those scans to produce regular JDBC result sets. The table metadata is stored in an HBase table and versioned, such that snapshot queries over prior versions will automatically use the correct schema. Direct use of the HBase API, along with coprocessors and custom filters, results in performance on the order of milliseconds for small queries, or seconds for tens of millions of rows."

"Shark is a large-scale data warehouse system for Spark designed to be compatible with Apache Hive. It can answer Hive QL queries up to 100 times faster than Hive without modification to the existing data nor queries. Shark supports Hive's query language, metastore, serialization formats, and user-defined functions."