high_scalability high_scalability-2009 knowledge-graph by maker-knowledge-mining
1 high scalability-2009-12-30-Terrastore - Scalable, elastic, consistent document store.
Introduction: Terrastore is a new-born document store which provides advanced scalability and elasticity features without sacrificing consistency. Here are a few highlights: Ubiquitous: based on the universally supported HTTP protocol. Distributed: nodes can run and live everywhere on your network. Elastic: you can add and remove nodes dynamically to/from your running cluster with no downtime and no changes at all to your configuration. Scalable at the data layer: documents are partitioned and distributed among your nodes, with automatic and transparent re-balancing when nodes join and leave. Scalable at the computational layer: query and update operations are distributed to the nodes which actually holds the queried/updated data, minimizing network traffic and spreading computational load. Consistent: providing per-document consistency, you're guaranteed to always get the latest value of a single document, with read committed isolation for concurrent modifications. Schemales
2 high scalability-2009-12-28-Zynga Needs a Server-side Systems Engineer
Introduction: Ashleigh Anderson from Zynga let me know that they have an opening for a Systems Engineer working on some new games they are developing. Given the state of the job market I thought it worth posting. Here are more details... Zynga is looking for a strong server-side Systems Engineer to join our growing team! You'll be responsible for owning the development, deployment and administration of our up-and-coming games. Are you ready to put your ideas into our games that will be viewed instantly by millions? We are committed to developing high quality casual and multi player games! Come join us ... we're having a ball! Responsibilities: The best candidates will have solid experience developing, deploying and administering web applications utilizing Web 2.0 technologies. You will be joining a team who's committed to working on high quality code in a PHP/LAMP. You must have experience with database-driven web technologies to work on high-volume, high-availability, large-scale s
3 high scalability-2009-12-22-Incremental deployment
Introduction: Incremental deployment . Manual/automated hybrid deployment strategy we use at Forward for our critical, high availability distributed systems.
4 high scalability-2009-12-21-Hot Holiday Scalability Links for 2009
Introduction: Building Super Scalable Systems: Blade Runner Meets Autonomic Computing in the Ambient Cloud . The only independent platform most of us will have access to capable of hosting planet-scale applications is the Ambient Cloud. It forms a sort of digital potluck where everyone contributes memory, network, and other compute resources from whatever they happen to have available. Top 10 Internet Startup Scalability Killers . Strategies taken from The Art of Scalability . 1. Thinking Scalability Is Just About Technology; 2. Overuse of Synchronous Calls; 3. Failure to Weed or Seed Soon Enough; 4. Inappropriate Use of Databases; 5. Cesspools Instead of Swim Lanes; 6. Reliance on Vertical Scale; 7. Failure to Learn from History; 8. Changing Development Methodologies to Fix Problems; 9. Too Little Caching, Too Late; 10. Overreliance on Third Parties to Scale. The New Google: Internet Giant Opens Up About Real-Time and Local Search, Cloud Computing, and Data Liberation . In four separat
5 high scalability-2009-12-17-Oracle and IBM databases: Disk-based vs In-memory databases
Introduction: Current disk based RDBMS can run out of steam when processing large data. Can these problems be solved by migrating from a disk based RDBMS to an IMDB? Any limitations? To find out, I tested one of each from the two leading vendors who together hold 70% of the market share - Oracle's 11g and TimesTen 11g , and IBM's DB2 v9.5 and solidDB 6.3 . read more at BigDataMatters.com
6 high scalability-2009-12-16-The most common flaw in software performance testing
Introduction: How many times have we all run across a situation where the performance tests on a piece of software pass with flying colors on the test systems only to see the software exhibit poor performance characteristics when the software is deployed in production? Read More Here...
Introduction: "But it is not complicated. [There's] just a lot of it." \--Richard Feynmanon how the immense variety of the world arises from simple rules.Contents:Have We Reached the End of Scaling?Applications Become Black Boxes Using Markets to Scale and Control CostsLet's Welcome our Neo-Feudal OverlordsThe Economic Argument for the Ambient CloudWhat Will Kill the Cloud?The Amazing Collective Compute Power of the Ambient CloudUsing the Ambient Cloud as an Application RuntimeApplications as Virtual StatesConclusionWe have not yet begun to scale. The world is still fundamentally disconnected and for all our wisdom we are still in the earliest days of learning how to build truly large planet-scaling applications.Today 350 million users on Facebook is a lot of users and five million followers on Twitter is a lot of followers. This may seem like a lot now, but consider we have no planet wide applications yet. None.Tomorrow the numbers foreshadow a newCambrian explosionof connectivity that will look as
8 high scalability-2009-12-15-The Common Principles Behind the NOSQL Alternatives
Introduction: This post draws some of the common patterns behind the various NOSQL alternatives, and how they address the database scalability challenge. Read the full story here
9 high scalability-2009-11-30-Why Existing Databases (RAC) are So Breakable!
Introduction: One of the core assumption behind many of today’s databases is that disks are reliable. In other words, your data is “safe” if it is stored on a disk, and indeed most database solutions rely heavily on that assumption. Is it a valid assumption? Read the full story here
10 high scalability-2009-11-26-What I'm Thankful For on Thanksgiving
Introduction: I try to keep this blog targeted and on topic. So even though I may be thankful for the song of the tinniest sparrow at sunrise , I'll save you from all that. It's hard to tie scalability and the giving of thanks together, especially as it sometimes occurs to me that this blog may be a self-indulgent waste of time. But I think I found a sentiment in A New THEORY of AWESOMENESS and MIRACLES by James Bridle that manages to marry the topic of this blog and giving thanks meaningfully together: I distrust commercial definitions of innovation, and particularly of awesomeness. It’s an overused term. When I think of awesomeness, I want something awe-inspiring, vast and mind-expanding. So I started thinking about things that I think are awesome, or miraculous, and for me, it kept coming back to scale and complexity. We’re not actually very good about thinking about scale and complexity in real terms, so we have to use metaphors and examples. Douglas Adams writes s
11 high scalability-2009-11-26-Kngine Snippet Search New Indexing Technology
Introduction: While Kngine just announce some improvement and new features , I would like you take you in small trip in Snippet Search research project at Kngine. What is Kngine? Kngine is startup company working in Searching technologies, We in Kngine aims to organize the human beings Systematic Knowledge and Experiences and make it accessible to everyone. We aim to collect and organize all objective data, and make it possible and easy to access. Our goal is to build Web 3.0 Web Search Engine on the advances of Web Search Engine, Semantic Web, Data Representation technologies a new form of Web Search Engine that will unleash a revolution of new possibilities. Introduction to Snippet Search Today, The Web Search Engine’s is the Web getaway, especially to get specific information. But unfortunately the search engines didn’t changed mush as the Web changed from 90’s. Since the 90’s the Web search engine still provide the same kind of results: Links to documents. We i
12 high scalability-2009-11-25-Brian Aker's Hilarious NoSQL Stand Up Routine
Introduction: Brian Aker gave this 10 minute lightning talk on NoSQL at the Nov 2009 OpenSQLCamp in Portland, Oregon. It's incredibly funny, probably because there's a lot of truth to what he's saying. Here are the slides and here are the notes . Found though #nosql.
13 high scalability-2009-11-24-Hot Scalability Links for Nov 24 2009
Introduction: Eventual Consistency by Example by Sergio Bossa. Attempts to clear up some misconceptions about eventual consitency as discussed in Amazon's Dynamo paper . Boston Big Data Summit keynote outline by Curt Monash. Interesting topics: Big Data and the cloud actually have relatively little to do with each other and The NoSQL movement is a lot like the Ron Paul campaign. I think RDBMS has set the industry back by 10 years by Henry G. Baker, Ph.D, from 1992. I can categorically state that relational databases set the commercial data processing industry back at least ten years and wasted many of the billions of dollars that were spent on data processing. Henry thought OO databases would change things. They didn't. The question is why? Intel cloud service tests the scalability of your code . Intel has a cloud based tool that can test how your application will perform on will on a number of multicore processor configurations -- 1, 2, 4, 8, or 16 hardwar
14 high scalability-2009-11-23-Big Data on Grids or on Clouds?
Introduction: Contributed by Wolfgang Gentzsch: Now that we have a new computing paradigm, Cloud Computing, how can Clouds help our data? Replace our internal data vaults as we hoped Grids would? Are Grids dead now that we have Clouds? Despite all the promising developments in the Grid and Cloud computing space, and the avalanche of publications and talks on this subject, many people still seem to be confused about internal data and compute resources, versus Grids versus Clouds, and they are hesitant to take the next step. I think there are a number of issues driving this uncertainty. read more at: BigDataMatters.com
15 high scalability-2009-11-17-10 eBay Secrets for Planet Wide Scaling
Introduction: You don't even have to make a bid, Randy Shoup, an eBay Distinguished Architect, gives this presentation on how eBay scales, for free. Randy has done a fabulous job in this presentation and in other talks listed at the end of this post getting at the heart of the principles behind scalability. It's more about ideas of how things work and fit together than a focusing on a particular technology stack. Impressive Stats In case you weren't sure, eBay is big, with lots of: users, data, features, and change... Over 89 million active users worldwide 190 million items for sale in 50,000 categories Over 8 billion URL requests per day Hundreds of new features per quarter Roughly 10% of items are listed or ended every day In 39 countries and 10 languages 24x7x365 70 billion read / write operations / day Processes 50TB of new, incremental data per day Analyzes 50PB of data per day 10 Lessons The presentation does a good job explaining each lesson, but the list is.
16 high scalability-2009-11-16-Building Scalable Systems Using Data as a Composite Material
Introduction: Think of building websites as engineering composite materials . A composite material is when two or more materials are combined to create a third material that does something useful that the components couldn't do on their own. Composites like reinforced concrete have revolutionized design and construction. When building websites we usually bring different component materials together, like creating a composite, to get the features we need rather than building a completely new thing from scratch that does everything we want. This approach has been seen as a hack because it leads to inelegancies like data duplication; great gobs of component glue; consistency issues; and messy operations. But what if the the composite approach is really a strength, not a hack, but a messy part of the world that needs to be embraced rather than belittled? They key is to see data as a material . Right now we are arguing which is the best single material to build with. Is it NoSQL , relational, mass
17 high scalability-2009-11-11-Hot Scalability Links for Nov 11 2009
Introduction: The Cost of Latency by James Hamilton. James summarizes latency info from Steve Souder , Greg Linden , and Marissa Mayer . Speed [is] an undervalued and under-discussed asset on the web. Dynamo - Part I: a followup and re-rebuttals . Dynamo under attack as having Design flaws and the resounding rebuttal in response. Programming Bits and Atoms . Thinking about programming and scaling as a problem in physics. Absolutely fascinating and inspiring. Scaling Servers with the Cloud: Amazon S3 . Build a static site using S3 for pennies. An oldly but still a goody idea. Are Wireless Road Trains the Cure for Traffic Congestion? The concept of road trains--up to eight vehicles zooming down the road together--has long been considered a faster, safer, and greener way of traveling long distances by car. Erlang at Facebook by Eugene Letuchy. How Facebook uses Erlang to implement Chat, AIM Presence, and Chat Jabber support. Yahoo Open Sources Traffic Server . Traffic Serv
18 high scalability-2009-11-09-10 NoSQL Systems Reviewed
Introduction: Jonathan Ellis reviews in the NoSQL Ecosystem the origin of the NoSQL movement and 10 different NoSQL products and how their 1) support for multiple datacenters, 2) the ability to add new machines to a live cluster transparently to the your applications, 3) Data Model, 4) Query API, 5) Persistence Design. The 10 systems reviewed are: Cassandra, CouchDB, HBase, MongoDB, Neo4J, Redis, Riak, Scalaris, Tokyo Cabinet, Voldemort. A very thorough and thoughtful article on the entire NoSQL space. It's clear from the article that NoSQL is not monolithic, there is a very wide variety of approaches to not being a relational database. Related Articles NOSQL = Not Only SQL? . Google Groups thread on talking about the appropriateness of NoSQL as a label. The "NoSQL" Discussion has Nothing to Do With SQL by Michael Stonebraker. HBase vs. Cassandra: NoSQL Battle! by Bradford. Predictions on the future of NoSQL by Aleksander Kmetec.
19 high scalability-2009-11-06-Product: Resque - GitHub's Distrubuted Job Queue
Introduction: Queuing work for processing in the background is a time tested scalability strategy . Queuing also happens to be one of those much needed tools where it easy enough to forge for your own that we see a lot of different versions made. Resque is GitHub's take on a job queue and they've used it to process million and millions of jobs so far. What is Resque? Redis-backed library for creating background jobs, placing those jobs on multiple queues, and processing them later. Background jobs can be any Ruby class or module that responds to perform . Your existing classes can easily be converted to background jobs or you can create new classes specifically to do work. Or, you can do both. GitHub tried and considered many other systems: SQS, Starling, ActiveMessaging, BackgroundJob, DelayedJob, beanstalkd, AMQP, and Kestrel, but found them all wanting in one way are another. The latency for SQS was too high. Others didn't make full use of Ruby. Others still had a lot of overhe
20 high scalability-2009-11-05-A Yes for a NoSQL Taxonomy
Introduction: NorthScale's Steven Yen in his highly entertaining NoSQL is a Horseless Carriage presentation has come up with a NoSQL taxonomy that thankfully focuses a little more on what NoSQL is, than what it isn't : key‐value‐cache memcached, repcached, coherence, infinispan, eXtreme scale, jboss cache, velocity, terracoqa key‐value‐store keyspace, flare, schema‐free, RAMCloud eventually‐consistent key‐value‐store dynamo, voldemort, Dynomite, SubRecord, Mo8onDb, Dovetaildb ordered‐key‐value‐store tokyo tyrant, lightcloud, NMDB, luxio, memcachedb, actord data‐structures server redis tuple‐store gigaspaces, coord, apache river object database ZopeDB, db4o, Shoal document store CouchDB, Mongo, Jackrabbit, XML Databases, ThruDB, CloudKit, Perservere, Riak Basho, Scalaris wide columnar store BigTable, Hbase, Cassandra, Hypertable, KAI, OpenNeptune, Qbase, KDI "Who will win?"
21 high scalability-2009-11-04-Damn, Which Database do I Use Now?
22 high scalability-2009-11-01-Squeeze more performance from Parallelism
23 high scalability-2009-10-30-Hot Scalabilty Links for October 30 2009
24 high scalability-2009-10-29-Paper: No Relation: The Mixed Blessings of Non-Relational Databases
25 high scalability-2009-10-29-Digg - Looking to the Future with Cassandra
26 high scalability-2009-10-28-Need for change in your IT infrastructure
27 high scalability-2009-10-28-GemFire: Solving the hardest problems in data management
28 high scalability-2009-10-28-And the winner is: MySQL or Memcached or Tokyo Tyrant?
29 high scalability-2009-10-26-Facebook's Memcached Multiget Hole: More machines != More Capacity
30 high scalability-2009-10-25-Is Your Data Really Secured?
32 high scalability-2009-10-21-Manage virtualized sprawl with VRMs
34 high scalability-2009-10-16-Paper: Scaling Online Social Networks without Pains
35 high scalability-2009-10-15-Hot Scalability Links for Oct 15 2009
36 high scalability-2009-10-13-Why are Facebook, Digg, and Twitter so hard to scale?
37 high scalability-2009-10-12-High Performance at Massive Scale – Lessons learned at Facebook
39 high scalability-2009-10-08-Riak - web-shaped data storage system
40 high scalability-2009-10-07-How to Avoid the Top 5 Scale-Out Pitfalls
41 high scalability-2009-10-06-Building a Unique Data Warehouse
42 high scalability-2009-10-06-10 Ways to Take your Site from One to One Million Users by Kevin Rose
43 high scalability-2009-10-02-HighScalability has Moved to Squarespace.com!
44 high scalability-2009-10-01-Private Data Cloud: 'Do It Yourself' with Eucalyptus
45 high scalability-2009-10-01-Moving Beyond End-to-End Path Information to Optimize CDN Performance
46 high scalability-2009-09-22-How Ravelry Scales to 10 Million Requests Using Rails
47 high scalability-2009-09-20-PaxosLease: Diskless Paxos for Leases
48 high scalability-2009-09-19-Space Based Programming in .NET
50 high scalability-2009-09-17-Hot Links for 2009-9-17
52 high scalability-2009-09-16-Paper: A practical scalable distributed B-tree
53 high scalability-2009-09-13-How is Berkely DB fare against other Key-Value Database
54 high scalability-2009-09-12-How Google Taught Me to Cache and Cash-In
55 high scalability-2009-09-11-The interactive cloud
56 high scalability-2009-09-10-When optimizing - don't forget the Java Virtual Machine (JVM)
57 high scalability-2009-09-10-The technology behind Tornado, FriendFeed's web server
58 high scalability-2009-09-10-How to handle so many socket connection
60 high scalability-2009-09-09-GridwiseTech revolutionizes data management
61 high scalability-2009-09-07-Product: Infinispan - Open Source Data Grid
62 high scalability-2009-09-06-Some Hot Links
63 high scalability-2009-09-04-Hot Links for 2009-9-4
64 high scalability-2009-09-03-Storage Systems for High Scalable Systems presentation
65 high scalability-2009-09-01-Cheap storage: how backblaze takes matters in hand
67 high scalability-2009-08-31-Scaling MySQL on Amazon Web Services
68 high scalability-2009-08-28-Strategy: Solve Only 80 Percent of the Problem
69 high scalability-2009-08-26-Hot Links for 2009-8-26
70 high scalability-2009-08-24-How Google Serves Data from Multiple Datacenters
71 high scalability-2009-08-20-VMware to bridge a DMZ.
72 high scalability-2009-08-20-Dependency Injection and AOP frameworks for .NET
73 high scalability-2009-08-18-Real World Web: Performance & Scalability
74 high scalability-2009-08-18-Hardware Architecture Example (geographical level mapping of servers)
75 high scalability-2009-08-16-ThePort Network Architecture
76 high scalability-2009-08-16-TechDev Stages
77 high scalability-2009-08-13-Reconnoiter - Large-Scale Trending and Fault-Detection
78 high scalability-2009-08-11-13 Scalability Best Practices
79 high scalability-2009-08-09-Writing about cisco loadbalancer?
80 high scalability-2009-08-09-NoSQL: If Only It Was That Easy
81 high scalability-2009-08-08-Yahoo!'s PNUTS Database: Too Hot, Too Cold or Just Right?
82 high scalability-2009-08-08-1dbase vs. many and cloud hosting vs. dedicated server(s)?
83 high scalability-2009-08-07-The Canonical Cloud Architecture
84 high scalability-2009-08-07-Strategy: Break Up the Memcache Dog Pile
85 high scalability-2009-08-06-An Unorthodox Approach to Database Design : The Coming of the Shard
86 high scalability-2009-08-05-Stack Overflow Architecture
87 high scalability-2009-08-05-Anti-RDBMS: A list of distributed key-value stores
89 high scalability-2009-08-01-15 Scalability and Performance Best Practices
90 high scalability-2009-07-31-NSFW: Hilarious Fault-Tolerance Cartoon
91 high scalability-2009-07-30-Learn How to Think at Scale
92 high scalability-2009-07-29-Strategy: Let Google and Yahoo Host Your Ajax Library - For Free
93 high scalability-2009-07-29-Strategy: Devirtualize for More Vroom
94 high scalability-2009-07-28-37signals Architecture
95 high scalability-2009-07-27-Handle 700 Percent More Requests Using Squid and APC Cache
96 high scalability-2009-07-25-Latency is Everywhere and it Costs You Sales - How to Crush it
97 high scalability-2009-07-21-Paper: Parallelizing the Web Browser
98 high scalability-2009-07-20-A Scalability Lament
99 high scalability-2009-07-17-Against all the odds
101 high scalability-2009-07-16-Scalable Web Architectures and Application State
102 high scalability-2009-07-12-SPHiveDB: A mixture of the Key-Value Store and the Relational Database.
103 high scalability-2009-07-09-No to SQL? Anti-database movement gains steam – My Take
104 high scalability-2009-07-08-Servers Component - How to choice and build perfect server
105 high scalability-2009-07-08-Art of Parallelism presentation
106 high scalability-2009-07-02-Product: Project Voldemort - A Distributed Database
107 high scalability-2009-07-02-Product: Hbase
108 high scalability-2009-07-02-Product: Facebook's Cassandra - A Massive Distributed Store
109 high scalability-2009-07-02-It Must be Crap on Relational Dabases Week
110 high scalability-2009-07-02-Hypertable is a New BigTable Clone that Runs on HDFS or KFS
113 high scalability-2009-06-29-eHarmony.com describes how they use Amazon EC2 and MapReduce
115 high scalability-2009-06-29-HighScalability Rated #3 Blog for Developers
116 high scalability-2009-06-29-Google App Engine plus Amazon AWS: Best of both worlds
117 high scalability-2009-06-28-Google Voice Architecture
118 high scalability-2009-06-27-Scaling Twitter: Making Twitter 10000 Percent Faster
119 high scalability-2009-06-26-PlentyOfFish Architecture
120 high scalability-2009-06-24-Habits of Highly Scalable Web Applications
122 high scalability-2009-06-22-Improving performance and scalability with DDD
123 high scalability-2009-06-20-Building a data cycle at LinkedIn with Hadoop and Project Voldemort
124 high scalability-2009-06-19-GemFire 6.0: New innovations in data management
125 high scalability-2009-06-15-starting small with growth in mind
126 high scalability-2009-06-15-Large-scale Graph Computing at Google
127 high scalability-2009-06-14-kngine 'Knowledge Engine' milestone 2
128 high scalability-2009-06-14-CLOUD & GRID EVENT BY THE ONLINE GAMING HIGH SCALABILITY SIG
129 high scalability-2009-06-13-Neo4j - a Graph Database that Kicks Buttox
130 high scalability-2009-06-11-Yahoo! Distribution of Hadoop
132 high scalability-2009-06-10-Managing cross partition transactions in a distributed KV system
133 high scalability-2009-06-10-Hive - A Petabyte Scale Data Warehouse using Hadoop
134 high scalability-2009-06-10-Dealing with multi-partition transactions in a distributed KV solution
135 high scalability-2009-06-08-Distribution of queries per second
136 high scalability-2009-06-06-Graph server
137 high scalability-2009-06-05-SSL RPC API Scalability
138 high scalability-2009-06-05-HotPads Shows the True Cost of Hosting on Amazon
139 high scalability-2009-06-05-Google Wave Architecture
141 high scalability-2009-06-02-GigaSpaces Launches a New Version of its Cloud Computing Framework
142 high scalability-2009-06-01-HotPads on AWS
143 high scalability-2009-06-01-Guess How Many Users it Takes to Kill Your Site?
144 high scalability-2009-06-01-Data grid comparison: Oracle Coherence vs Gigaspaces XAP
145 high scalability-2009-05-31-Parallel Programming for real-world
146 high scalability-2009-05-31-Need help on Site loading & database optimization - URGENT
147 high scalability-2009-05-29-Is Eucalyptus ready to be your private cloud?
148 high scalability-2009-05-28-Scaling PostgreSQL using CUDA
149 high scalability-2009-05-27-The Future of the Parallelism and its Challenges
150 high scalability-2009-05-26-Database Optimize patterns
151 high scalability-2009-05-25-non-sequential, unique identifier, strategy question
152 high scalability-2009-05-22-Distributed content system with bandwidth balancing
155 high scalability-2009-05-17-Scaling Django Web Apps by Mike Malone
156 high scalability-2009-05-17-Product: Hadoop
157 high scalability-2009-05-15-Wolfram|Alpha Architecture
158 high scalability-2009-05-14-Who Has the Most Web Servers?
159 high scalability-2009-05-12-P2P server technology?
160 high scalability-2009-05-12-GemStone Unveils GemFire Enterprise 6.0
161 high scalability-2009-05-11-Facebook, Hadoop, and Hive
162 high scalability-2009-05-08-Publish-subscribe model does not scale?
163 high scalability-2009-05-08-Eight Best Practices for Building Scalable Systems
164 high scalability-2009-05-06-Guinness Book of World Records Anyone?
165 high scalability-2009-05-06-DyradLINQ
166 high scalability-2009-05-06-Dyrad
167 high scalability-2009-05-06-Art of Distributed
168 high scalability-2009-05-05-Drop ACID and Think About Data
169 high scalability-2009-05-04-STRUCTURE 09 IS BACK!
170 high scalability-2009-05-01-FastBit: An Efficient Compressed Bitmap Index Technology
171 high scalability-2009-04-29-Presentations: MySQL Conference & Expo 2009
172 high scalability-2009-04-29-How to choice and build perfect server
173 high scalability-2009-04-27-Some Questions from a newbie
174 high scalability-2009-04-26-Scale-up vs. Scale-out: A Case Study by IBM using Nutch-Lucene
175 high scalability-2009-04-26-Poem: Partly Cloudy
176 high scalability-2009-04-26-Map-Reduce for Machine Learning on Multicore
177 high scalability-2009-04-24-INFOSCALE 2009 in June in Hong Kong
179 high scalability-2009-04-23-Which Key value pair database to be used
180 high scalability-2009-04-22-Gear6 Web cache - the hardware solution for working with Memcache
181 high scalability-2009-04-21-What CDN would you recommend?
182 high scalability-2009-04-21-Thread Pool Engine in MS CLR 4, and Work-Stealing scheduling algorithm
183 high scalability-2009-04-20-Some things about Memcached from a Twitter software developer
184 high scalability-2009-04-16-Serving 250M quotes-day at CNBC.com with aiCache
186 high scalability-2009-04-15-Using HTTP cache headers effectively
187 high scalability-2009-04-15-Implementing large scale web analytics
188 high scalability-2009-04-14-Scalability resources
189 high scalability-2009-04-14-Designing a Scalable Twitter
190 high scalability-2009-04-14-Challanges for Developing Enterprise Application on the Cloud
191 high scalability-2009-04-13-High Performance Web Pages – Real World Examples: Netflix Case Study
192 high scalability-2009-04-13-Benchmark for keeping data in browser in AJAX projects
193 high scalability-2009-04-10-counting # of views, calculating most-least viewed
194 high scalability-2009-04-10-Facebook Chat Architecture
195 high scalability-2009-04-10-Facebook's Aditya giving presentation on Facebook Architecture
196 high scalability-2009-04-08-N+1+caching is ok?
197 high scalability-2009-04-08-Learned lessons from the largest player (Flickr, YouTube, Google, etc)
198 high scalability-2009-04-07-Six Lessons Learned Deploying a Large-scale Infrastructure in Amazon EC2
199 high scalability-2009-04-06-How do you monitor the performance of your cluster?
200 high scalability-2009-04-06-A picture is realy worth a thousand word, and also a window in time...
201 high scalability-2009-04-05-At Some Point the Cost of Servers Outweighs the Cost of Programmers
202 high scalability-2009-04-04-Performance Anti-Pattern
203 high scalability-2009-04-04-Digg Architecture
204 high scalability-2009-04-03-Collectl interface to Ganglia - any interest?
205 high scalability-2009-04-01-Art of scalability (1) - Scalability principles
206 high scalability-2009-03-30-Lavabit Architecture - Creating a Scalable Email Service
207 high scalability-2009-03-30-Ebay history and architecture
208 high scalability-2009-03-26-Performance - When do I start worrying?
209 high scalability-2009-03-25-Advertising
211 high scalability-2009-03-20-Alternate strategy for database sharding
212 high scalability-2009-03-19-Product: Redis - Not Just Another Key-Value Store
213 high scalability-2009-03-18-QCon London 2009: Upgrading Twitter without service disruptions
214 high scalability-2009-03-17-Sun to Announce Open Cloud APIs at CommunityOne
215 high scalability-2009-03-17-IBM WebSphere eXtreme Scale (IMDG)
216 high scalability-2009-03-16-Product: Smart Inspect
217 high scalability-2009-03-16-Cisco and Sun to Compete for Unified Computing?
218 high scalability-2009-03-16-Books: Web 2.0 Architectures and Cloud Application Architectures
219 high scalability-2009-03-16-Are Cloud Based Memory Architectures the Next Big Thing?
220 high scalability-2009-03-12-QCon London 2009: Database projects to watch closely
223 high scalability-2009-03-12-Google TechTalk: Amdahl's Law in the Multicore Era
224 high scalability-2009-03-11-The Implications of Punctuated Scalabilium for Website Architecture
225 high scalability-2009-03-11-Sharding and Connection Pools
227 high scalability-2009-03-11-13 Screencasts on How to Scale Rails
228 high scalability-2009-03-10-Paper: Consensus Protocols: Paxos
229 high scalability-2009-03-06-Product: Lightcloud - Key-Value Database
231 high scalability-2009-03-05-Strategy: In Cloud Computing Systematically Drive Load to the CPU
232 high scalability-2009-03-05-Product: Amazon Simple Storage Service
235 high scalability-2009-02-25-Learn how to manage change and complexity by Zachman Live.
237 high scalability-2009-02-25-Advanced BPM program in USA and India discount for Group Membership
238 high scalability-2009-02-23-Database Sharding at Netlog, with MySQL and PHP
240 high scalability-2009-02-21-Google AppEngine - A Second Look
241 high scalability-2009-02-19-Heavy upload server scalability
242 high scalability-2009-02-19-GIS Application Hosting
243 high scalability-2009-02-18-Numbers Everyone Should Know
244 high scalability-2009-02-16-Handle 1 Billion Events Per Day Using a Memory Grid
245 high scalability-2009-02-14-Scaling Digg and Other Web Applications
246 high scalability-2009-02-12-MySpace Architecture
247 high scalability-2009-02-09-Paper: Consensus Protocols: Two-Phase Commit
248 high scalability-2009-02-05-Product: HAProxy - The Reliable, High Performance TCP-HTTP Load Balancer
250 high scalability-2009-02-03-Paper: Optimistic Replication
251 high scalability-2009-02-03-10 More Rules for Even Faster Websites
252 high scalability-2009-02-01-More Chips Means Less Salsa
253 high scalability-2009-01-29-Event: MySQL Conference & Expo 2009
254 high scalability-2009-01-27-Video: Storage in the Cloud at Joyent
255 high scalability-2009-01-26-Paper: Scalability by Design - Coding for Systems With Large CPU Counts
256 high scalability-2009-01-25-Where do I start?
257 high scalability-2009-01-22-Heterogeneous vs. Homogeneous System Architectures
258 high scalability-2009-01-22-Coming soon: better JRockit+Coherence integration
259 high scalability-2009-01-20-Product: Amazon's SimpleDB
260 high scalability-2009-01-19-Papers: Readings in Distributed Systems
261 high scalability-2009-01-17-Scaling in Games & Virtual Worlds
262 high scalability-2009-01-17-Intro to Caching,Caching algorithms and caching frameworks part 1
263 high scalability-2009-01-16-Reducing Your Website's Bandwidth Usage - how to
265 high scalability-2009-01-16-Database Sharding for startups
266 high scalability-2009-01-13-Product: Gearman - Open Source Message Queuing System
267 high scalability-2009-01-12-Getting ready for the cloud
268 high scalability-2009-01-11-17 Distributed Systems and Web Scalability Resources
269 high scalability-2009-01-08-file synchronization solutions
270 high scalability-2009-01-08-Paper: Sharding with Oracle Database
271 high scalability-2009-01-07-Sun Acquires Q-layer in Cloud Computing Play
272 high scalability-2009-01-05-Messaging is not just for investment banks
273 high scalability-2009-01-05-Lessons Learned at 208K: Towards Debugging Millions of Cores
274 high scalability-2009-01-04-Paper: MapReduce: Simplified Data Processing on Large Clusters