Brent Sordyl's blog » twitter

Everything I Ever Learned About JVM Performance Tuning @Twitter

Brent Sordyl — Sat, 26 Nov 2011 22:21:34 +0000

(Full Story: Everything I Ever Learned About JVM Performance Tuning @Twitter)

Bootstrap, from Twitter

Brent Sordyl — Tue, 04 Oct 2011 11:49:03 +0000

Bootstrap is a toolkit from Twitter designed to kickstart development of webapps and sites.It includes base CSS and HTML for typography, forms, buttons, tables, grids, navigation, and more.

(Full Story: Bootstrap, from Twitter)

Bootstrap, from Twitter

Brent Sordyl — Tue, 23 Aug 2011 20:32:12 +0000

Bootstrap is a toolkit from Twitter designed to kickstart development of webapps and sites.It includes base CSS and HTML for typography, forms, buttons, tables, grids, navigation, and more.

(Full Story: Bootstrap, from Twitter)

Twitter open sources Storm a mapreduce framework

Brent Sordyl — Fri, 05 Aug 2011 13:39:50 +0000

I’ve only scratched the surface on Storm. The “stream” concept at the core of Storm can be taken so much further than what I’ve shown here — I didn’t talk about things like multi-streams, implicit streams, or direct groupings. I showed two of Storm’s main abstractions, spouts and bolts, but I didn’t talk about Storm’s third, and possibly most powerful abstraction, the “state spout”. I didn’t show how you do distributed RPC over Storm, and I didn’t discuss Storm’s awesome automated deploy that lets you create a Storm cluster on EC2 with just the click of a button.

(Full Story: Twitter open sources Storm a mapreduce framework)

Twitter Shifting More Code to JVM, Citing Performance and Encapsulation As Primary Drivers

Brent Sordyl — Tue, 05 Jul 2011 14:32:05 +0000

Last year the company announced that both its back-end message queue and Tweet storage had been re-written in Scala, and in the spring of 2010 the search team at Twitter started to rewrite the search engine. As part of the effort, Twitter changed the search storage from MySQL to a real-time version of Lucene. More recently the team announced that they were replacing the Ruby on Rails front-end for search with a Java server they called Blender. This change resulted in a 3x drop in search latencies.

(Full Story: Twitter Shifting More Code to JVM, Citing Performance and Encapsulation As Primary Drivers)

Twitter Sparkline Generator

Brent Sordyl — Fri, 13 May 2011 12:33:23 +0000

Data Driven is proud to release Sparkbars! In Twitter! v2.0 As Twitter now accepts Unicode, we can use the block elements to create a sparkline
Open the Excel workbook, paste up to 140 values in column A, copy the resulting code out to Twitter, remove the extra return marks.

(Full Story: Twitter Sparkline Generator)

Twitter Search is Now 3x Faster with Netty

Brent Sordyl — Fri, 08 Apr 2011 14:35:17 +0000

Blender is a Thrift and HTTP service built on Netty, a highly-scalable NIO client server library written in Java that enables the development of a variety of protocol servers and clients quickly and easily. We chose Netty over some of its other competitors, like Mina and Jetty, because it has a cleaner API, better documentation and, more importantly, because several other projects at Twitter are using this framework.

(Full Story: Twitter Search is Now 3x Faster with Netty)

Rainbird: Realtime Analytics at Twitter

Brent Sordyl — Mon, 28 Feb 2011 20:46:44 +0000

Rainbird is a distributed, high-volume counting service built on top of Cassandra
Write 100,000s events per second, query it with hierarchy and multiple time granularities, returns results in <100ms
Used by twitter, will be open sourced.

(Full Story: Rainbird: Realtime Analytics at Twitter)

Big Data in Real-Time at Twitter

Brent Sordyl — Mon, 17 Jan 2011 19:50:04 +0000

(Full Story: Big Data in Real-Time at Twitter)

The Twitter Engineering Blog: The Tech Behind the New Twitter.com

Brent Sordyl — Tue, 21 Sep 2010 14:00:02 +0000

API Client
One of the most important architectural changes is that Twitter.com is now a client of our own API. It fetches data from the same endpoints that the mobile site, our apps for iPhone, iPad, Android, and every third-party application use. This shift allowed us to allocate more resources to the API team, generating over 40 patches. In the initial page load and every call from the client, all data is now fetched from a highly optimized JSON fragment cache.
(Link: The Twitter Engineering Blog: The Tech Behind the New Twitter.com)