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Magnum is an OpenStack API service developed by the OpenStack Containers Team making container orchestration engines such as Docker and Kubernetes available as first class resources in OpenStack. Magnum uses Heat to orchestrate an OS image which contains Docker and Kubernetes and runs that image in either virtual machines or bare metal in a cluster configuration.

Interesante. Utilizan puppet en la construcción de las imagenes In recent months we've received a lot of questions about how Puppet Enterprise works with containers. We have some really helpful resources for using Docker (like the Puppet Approved module), and I'd also like to point you toward the awesome talks given at this year's PuppetConf.

"A minimal init system for Linux containers"

"HDF (Hierarchical Data Format) technologies are relevant when the data challenges being faced push the limits of what can be addressed by traditional database systems, XML documents, or in-house data formats. Leveraging the powerful HDF products and the expertise of The HDF Group, organizations realize substantial cost savings while solving challenges that seemed intractable using other data management technologies. Many HDF adopters have very large datasets, very fast access requirements, or very complex datasets. Others turn to HDF because it allows them to easily share data across a wide variety of computational platforms using applications written in different programming languages. Some use HDF to take advantage of the many open-source and commercial tools that understand HDF. Similar to XML documents, HDF files are self-describing and allow users to specify complex data relationships and dependencies. In contrast to XML documents, HDF files can contain binary data (in many representations) and allow direct access to parts of the file without first parsing the entire contents. HDF, not surprisingly, allows hierarchical data objects to be expressed in a very natural manner, in contrast to the tables of relational database. Whereas relational databases support tables, HDF supports n-dimensional datasets and each element in the dataset may itself be a complex object. Relational databases offer excellent support for queries based on field matching, but are not well-suited for sequentially processing all records in the database or for subsetting the data based on coordinate-style lookup."

"Titan is a scalable graph database optimized for storing and querying graphs containing hundreds of billions of vertices and edges distributed across a multi-machine cluster. Titan is a transactional database that can support thousands of concurrent users executing complex graph traversals."

"Pachyderm is a complete data analytics solution that lets you efficiently store and analyze your data using containers. We offer the scalability and broad functionality of Hadoop, with the ease of use of Docker."

Scaladoc Index Much like Hoogle for Haskell, Scalex lets you find Scala functions quickly. Names and Types Searches can be either textual (a list of words), or by type (a type signature) or both. A search is considered a text search unless it contains a combination of text and symbols, or if it starts with :. To search for both a type and a name, place a : between them, for example size: List[A] => Int Example queries map Search for the text map list map Search for the text list and the text map list[a] => (a => boolean) => list[a] Search for the type List[A] => (A => Boolean) => List[A] : list[a] => a Search for the type List[A] => A conserve: List[a] => (a => b) => List[b] Search for the text conserve and the type List[A] => (A => B) => List[B]

"Our project (titled xstream)  concentrated on evaluation of XPath over XML streams. This research area contains multiple challenges resulting  from both the richness  of the language and the requirement of having only a single  pass over the data. We modified and extended one of the known algorithms, TurboXPath  [4], a tree-based IBM algorithm. We also  provide extensive comparative analysis between  TurboXPath and XSQ [5], currently the most advanced of  finite automata (FA)-based algorithms."

Scala macros to generate wiring code for class instantiation. DI (e.g. guice) container replacement.

"Graph for Scala is intended to provide basic graph functionality that seamlessly fits into the Scala standard collections library. Like the other members of scala.collection, Graph for Scala is an in-memory container that exposes a user-friendly interface without sacrificing functionality or flexibility. Graph for Scala also has ready-to-go implementations of JSON-Import/Export and Dot-Export - more popular graph serialization formats are coming soon. In addition, other powerful tools such as graph databases emulation and distributed graph processing are due to be supported."

"Service Component Architecture (SCA) is a set of specifications which describe a model for building applications and systems using a Service-Oriented Architecture (SOA). SCA extends and complements prior approaches to implementing services, and SCA builds on open standards such as Web services. SCA is based on the idea that business function is provided as a series of services, which are assembled together to create solutions that serve a particular business need. These composite applications can contain both new services created specifically for the application and also business function from existing systems and applications, reused as part of the composition. SCA provides a model both for the composition of services and for the creation of service components, including the reuse of existing application function within SCA compositions. SCA aims to encompass a wide range of technologies for service components and for the access methods which are used to connect them. For components, this includes not only different programming languages, but also frameworks and environments commonly used with those languages. For access methods, SCA compositions allow for the use of various communication and service access technologies that are in common use, including, for example, Web services, messaging systems and Remote Procedure Call (RPC)."

"New Relic open sourced Centurion, a deployment tool for Docker used internally to run their production infrastructure. Centurion takes containers from a Docker registry and runs them on a fleet of hosts with the correct environment variables, host volume mappings, and port mappings, supporting rolling deployments out of the box."

"Docker is fast becoming one of the hottest technologies under development. Released just a year ago, the open source project for creating virtualised application containers has already caused major cloud players, from Red Hat to Google, to rethink how applications can be delivered, run, and managed, especially in cloud environments."

"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."

"This page contains tables of known HTML rel values from specifications, formats, proposals, brainstorms, and non-trivial POSH usage in the wild. In addition, dropped and rejected values are listed at the end for comprehensiveness. usage: see how is 'rel' used. Regarding rev, see: should 'rev' even be used. This page is also the official rel registry ([1][2]). Add new and proposed rel values to the following section: HTML5 link type extension "

"Weave creates a virtual network that connects Docker containers deployed across multiple hosts." Muchos buenos features para armar redes dinámicas de contenedores en distintos hosts/redes físicos/as.