Monday, February 9, 2015

Starred Projects last week



arasatasaygin / is.js
Micro check library


etsy / Hound
Lightning fast code searching made easy


kien / ctrlp.vim
Fuzzy file, buffer, mru, tag, etc finder.


whiteoctober / WhiteOctoberPagerfantaBundle
Bundle to use Pagerfanta with Symfony2.


streamproc / MediaStreamRecorder
Cross-Browser recording of audio/video media streams; targets WebRTC/getUserMedia/WebAudio/etc. Works both on Chrome/Firefox/Opera on desktop & android.


1up-lab / OneupUploaderBundle
This Symfony2 bundle provides a server implementation for handling single and multiple file uploads using either FineUploader, jQuery File Uploader, YUI3 Uploader, Uploadify, FancyUpload, MooUpload, Plupload or Dropzone. Features include chunked uploads, orphanages and Gaufrette support.


pandao / editor.md
Editor.md: A simple online markdown editor.


genemu / GenemuFormBundle
Extra Form : Captcha GD, Tinymce, Recaptcha, JQueryDate, JQueryAutocomplete, JQuerySlider, JQueryFile, JQueryImage

Meet new MongoDb - MongoDb3.0


This release marks the beginning of a new phase in which we build on an increasingly mature foundation to deliver a database so powerful, flexible, and easy to manage that it can be the new DBMS standard for any team, in any industry.

MongoDB 3.0 brings with it massive improvements to performance and scalability, enabled by comprehensive improvements in the storage layer. We have built in the WiredTiger storage engine, an incredible technology with a distinguished pedigree. WiredTiger was engineered with latch-free, non-blocking algorithms to take advantage of trends in modern hardware, like large on-chip caches and heavily threaded architectures. By drawing on both academic research and their extensive commercial experience, the WiredTiger team built a storage engine that can underpin the next 20 years of data storage applications.

With WiredTiger, MongoDB 3.0 introduces document-level concurrency control, so performance remains fast and predictable under concurrent, write-intensive workloads. Transparent on-disk compression reduces storage requirements by up to 80%, and a choice of compression algorithms means that developers can tailor the performance/space trade-off to suit the needs of particular components in their applications.

Read more on https://www.mongodb.com/blog/post/announcing-mongodb-30


MongoDB 3.0 will be generally available in March, when we finish putting it through its paces. Stay tuned for our latest release candidate, we would love it if you would try it out and give us feedback.