"Google Container Registry provides secure, private Docker image storage on Google Cloud Platform.
While Docker provides a central registry to store public images, you may not want your images to be accessible to the world. In this case, you must use a private registry.
The Google Container Registry runs on Google Cloud Platform, so can be relied upon for consistent uptime and security. The registry can be accessed through an HTTPS endpoint, so you can pull images from any machine, whether it's a Google Compute Engine instance or your own hardware."
"Everything at Google, from Search to Gmail, is packaged and run in a Linux container," explained Eric Brewer, vice president of infrastructure at the Internet search giant, in announcing the open sourcing of Kubernetes. "Each week we launch more than 2 billion container instances across our global data centers, and the power of containers has enabled both more reliable services and higher, more-efficient scalability."
"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.)"
Data.js is a data representation framework for Javascript. It is being developed in the context of Substance, a web-based document authoring and publishing engine. It took some inspiration from various existing libraries such as the Google Visualization API or Underscore.js.
You can report bugs and discuss features on the GitHub issues page, on Freenode IRC in the #_substance chann el, post questions to the Google Group, or send tweets to @_substance.
With Data.js you can:
Model your domain data using a simple graph-based object model that can be serialized to JSON.
Traverse your graph, including relationships using a simple API.
Manipulate and query data on the client (browser) or on the server (Node.js) by using exactly the same API.
Free and Open Source Java project which brings together almost all the modern web tools: JsHint, CssLint, JsMin, Google Closure compressor, YUI Compressor, UglifyJs, Dojo Shrinksafe, Css Variables Support, JSON Compression, Less, Sass, CoffeeScript and much more.
"Protostuff is the stuff that leverages google's protobuf.
A serialization library with built-in support for forward-backward compatibility (schema evolution) and validation.
available formats:
protostuff (native)
graph (protostuff with support for cyclic references. See SerializingObjectGraphs)
protobuf
json
smile (binary json useable from the protostuff-json module)
xml
yaml (ser only)
kvp (binary uwsgi header)
support for messages that are generated by the protostuff-compiler (java_bean)
cyclic references via graph format
see CompilerOptions for more customized compilation of .proto files
support for existing pojos (See runtime schemas)
cyclic references via graph format
polymorphic (a nested message can be an interface/abstract class or even java.lang.Object)
support for existing protoc-generated java messages
see the io instructions for json, xml, yaml)
no support for cyclic references (limitation of the builder pattern)
Interoperability across various mobile platforms
android
kindle
j2me (protostuff-me module)
Transcoding support
converts one encoding to another. See PipeUsage.
Source and Sink
protostuff, protobuf, json, json-numeric, smile, smile-numeric, xml
Sink only
yaml
"
"Kubernetes is an open source implementation of container cluster management. Kubernetes is in pre-production beta! While the concepts and architecture in Kubernetes represent years of experience designing and building large scale cluster manager at Google, the Kubernetes project is still under heavy development. "
Me expresé muy mal, muy desde el punto de vista de un programador java... el asunto en realidad no es "cómo reemplazar DI" sino qué patrones de diseño hicieron que nunca fuera necesario el uso de DI en los lenguajes del paradigma funcional y cómo se pueden aplicar en scala.