Group items tagged

Es un chiste no? :)

El título lo pregunta, no lo afirma. ¿por qué decis que la prueba está mal hecha?

Si, bueno, donde puse "dice" quise decir "pregunta". Se pregunta si apache 2.4 es mas rápido que nginx, como una cosa novedosa, ya que es sabido lo contrario para versiones anteriores de apache, y que los devs de apache salieron a decir que el 2.4 es mas rápido que nginx. La prueba parece floja por varios lados... en los comentarios se mencionan varias cuestiones. Paradójicamente lo que sí es creíble es la conclusión, independientemente de la prueba. Aunque contradice las declaraciones de los devs de apache.

"Apache Rave a new web and social mashup engine that aggregates and serves web widgets. Rave is targeted as engine for internet and intranet portals and integrates Apache Shindig & Apache Wookie to provide OpenSocial & W3C widget support, respectively."

Apache Sqoop is a tool designed for efficiently transferring bulk data between Apache Hadoop and structured datastores such as relational databases. Sqoop successfully graduated from the Incubator in March of 2012 and is now a Top-Level Apache project: More information The Apache Sqoop team is pleased to announce the release of Sqoop 1.4.1-incubating from the Apache Incubator, which is the second incubator release.

Qué buena noticia!

"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. "

"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."

"The motivation for adding security to Apache Hadoop actually had little to do with traditional notions of security in defending against hackers since all large Hadoop clusters are behind corporate firewalls that only allow employees access. Instead, the motivation was simply that security would allow us to use Hadoop more effectively to pool resources between disjointed groups. Larger clusters are much cheaper to operate and require fewer copies of duplicated data."

mod_spdy is an open-source Apache module that adds support for the SPDY protocol to the Apache HTTPD server. This allows for faster page loading and more efficient bandwidth utilization when loading https URLs in SPDY-enabled browsers.

Voy a organizar algunas pruebas en ambientes nuestros para tener herramientas como para pedir la instalación en producción, ya que siempre son reticentes a "cosas nuevas". Gracias por la data!

"Apache Giraph is an iterative graph processing system built for high scalability. For example, it is currently used at Facebook to analyze the social graph formed by users and their connections. Giraph originated as the open-source counterpart to Pregel, the graph processing architecture developed at Google and described in a 2010 paper. Both systems are inspired by the Bulk Synchronous Parallel model of distributed computation introduced by Leslie Valiant. Giraph adds several features beyond the basic Pregel model, including master computation, sharded aggregators, edge-oriented input, out-of-core computation, and more. With a steady development cycle and a growing community of users worldwide, Giraph is a natural choice for unleashing the potential of structured datasets at a massive scale."

Delegation tokens play a critical part in Apache Hadoop security, and understanding their design and use is important for comprehending Hadoop's security model.

"In October 2014, Databricks participated in the Sort Benchmark and set a new world record for sorting 100 terabytes (TB) of data, or 1 trillion 100-byte records. The team used Apache Spark on 207 EC2 virtual machines and sorted 100 TB of data in 23 minutes."

"Apache Wookie is a Java server application that allows you to upload and deploy widgets for your applications; widgets can not only include all the usual kinds of mini-applications, badges, and gadgets, but also fully-collaborative applications such as chats, quizzes, and games."

"What is Aurora? Platforms like Twitter operate across tens of thousands of machines, with hundreds of engineers deploying software daily. In this type of environment, automation is critical. Aurora is software that keeps services running in the face of many types of failure, and provides engineers a convenient, automated way to create and update these services. To accomplish this, Aurora leverages the Apache Mesos cluster manager, which provides information about the state of the cluster. Aurora uses that knowledge to make scheduling decisions. For example, when a machine experiences failure Aurora automatically reschedules those previously-running services onto a healthy machine in order to keep them running."

"Apache Flink is an open source platform for distributed stream and batch data processing."

"Apache OpenWhisk (Incubating) is a serverless, open source cloud platform that executes functions in response to events at any scale."

"Apache Hama is a pure BSP (Bulk Synchronous Parallel) computing framework on top of HDFS (Hadoop Distributed File System) for massive scientific computations such as matrix, graph and network algorithms. Today, many practical data processing applications require a more flexible programming abstraction model that is compatible to run on highly scalable and massive data systems (e.g., HDFS, HBase, etc). A message passing paradigm beyond Map-Reduce framework would increase its flexibility in its communication capability. Bulk Synchronous Parallel (BSP) model fills the bill appropriately. Some of its significant advantages over MapReduce and MPI are: * Supports message passing paradigm style of application development * Provides a flexible, simple, and easy-to-use small APIs * Enables to perform better than MPI for communication-intensive applications * Guarantees impossibility of deadlocks or collisions in the communication mechanisms"

"Clocker features: Automatically create and manage multiple Docker hosts in cloud infrastructure Intelligent container placement, providing: resilience fault tolerance easy scaling maximum resource utilisation of hosts maximum application performance Use of any public or private cloud as the underlying infrastructure for Docker Hosts Deployment of existing Brooklyn/CAMP blueprints to Docker locations, without modification."

"OpenID Connect Relying Party and OAuth 2.0 Resource Server for Apache HTTP Server 2.x"