high_scalability high_scalability-2010 knowledge-graph by maker-knowledge-mining
1 high scalability-2010-12-31-Facebook in 20 Minutes: 2.7M Photos, 10.2M Comments, 4.6M Messages
Introduction: To celebrate the new year Facebook has shared the results of a little end of the year introspection. It has been a fecund year for Facebook: 43,869,800 changed their status to single 3,025,791 changed their status to "it's complicated" 28,460,516 changed their status to in a relationship 5,974,574 changed their status to engaged 36,774,801 changes their status to married If these numbers are simply to large to grasp, it doesn't get any better when you look at happens in a mere 20 minutes: Shared links: 1,000,000 Tagged photos: 1,323,000 Event invites sent out: 1,484,000 Wall Posts: 1,587,000 Status updates: 1,851,000 Friend requests accepted: 1,972,000 Photos uploaded: 2,716,000 Comments: 10,208,000 Message: 4,632,000 If you want to see how Facebook supports these huge numbers take a look at a few posts . One wonders what the new year will bring? Related Articles What the World Eats from Time Magazine A Day in the Life of an An
2 high scalability-2010-12-29-Pinboard.in Architecture - Pay to Play to Keep a System Small
Introduction: How do you keep a system small enough, while still being successful, that a simple scale-up strategy becomes the preferred architecture? StackOverflow , for example, could stick with a tool chain they were comfortable with because they had a natural brake on how fast they could grow: there are only so many programmers in the world. If this doesn't work for you, here's another natural braking strategy to consider: charge for your service . Paul Houle summarized this nicely as: avoid scaling problems by building a service that's profitable at a small scale . This interesting point, one I hadn't properly considered before, was brought up by Maciej Ceglowski, co-founder of Pinboard.in , in an interview with Leo Laporte and Amber MacArthur on their their net@night show. Pinboard is a lean, mean, pay for bookmarking machine, a timely replacement for the nearly departed Delicious. And as a self professed anti-social bookmarking site, it emphasizes speed over socializing . Maciej
3 high scalability-2010-12-28-Netflix: Continually Test by Failing Servers with Chaos Monkey
Introduction: In 5 Lessons We’ve Learned Using AWS , Netflix's John Ciancutti says the best way to avoid failure is to fail constantly . In the cloud it's expected instances can fail at any time, so you always have to be prepared. In the real world we prepare by running drills. Remember all those exciting fire drills? It's not just fire drills of course. The military, football teams, fire fighters, beach rescue, virtually any entity that must react quickly and efficiently to disaster hones their responsiveness by running drills. Netflix aggressively moves this strategy into the cloud by randomly failing servers using a tool they built called Chaos Monkey. The idea is: If we aren’t constantly testing our ability to succeed despite failure, then it isn’t likely to work when it matters most – in the event of an unexpected outage. They respond to failures by degrading service , but they always respond: If the recommendations system is down they'll show popular titles instead. If the s
4 high scalability-2010-12-23-Paper: CRDTs: Consistency without concurrency control
Introduction: For a great Christmas read forget The Night Before Christmas , a heart warming poem written by Clement Moore for his children, that created the modern idea of Santa Clause we all know and anticipate each Christmas eve. Instead, curl up with a some potent eggnog , nog being any drink made with rum, and read CRDTs: Consistency without concurrency control  by Mihai Letia, Nuno Preguiça, and Marc Shapiro, which talks about CRDTs (Commutative Replicated Data Type), a data type whose operations commute when they are concurrent . From the introduction, which also serves as a nice concise overview of distributed consistency issues: Shared read-only data is easy to scale by using well-understood replication techniques. However, sharing mutable data at a large scale is a difficult problem, because of the CAP impossibility result [5]. Two approaches dominate in practice. One ensures scalability by giving up consistency guarantees, for instance using the Last-Writer-Wins (LWW) approach [
Introduction: Who's Hiring? Electronic Art's is hiring a QA Engineer and a Cloud Architecture Technical Director II for their Pogo.com team. Fun and Informative Events A new round of Membase meetups have been planned for January 2011 for San Diego, Denver, Seattle, Vancouver and Chicago. Cool Products and Services See how Joyent's cloud solutions support game studios from game concept to launch, then through rapid scalability and ongoing success . http://www.joyent.com/solutions/gamestudios/ CloudSigma . Instantly scalable European cloud servers. ManageEngine Applications Manager : Monitor physical, virtual and Cloud Applications . www.site24x7.com : Monitor End User Experience from a global monitoring network. Electronic Art's is Hiring Join one of Electronic Art's most successful online businesses - Pogo.com! Pogo, a leader in online casual games, is EA’s largest online game site with more than 15 million monthly unique visitors and over 30
6 high scalability-2010-12-21-SQL + NoSQL = Yes !
Introduction: This is a guest post by Frédéric Faure (architect at Ysance ), you can follow him on twitter . Data storage has always been one of the most difficult problems to address, especially as the quantity of stored data is constantly increasing. This is not simply due to the growing numbers of people regularly using the Internet, particularly with all the social networks, games and gizmos now available. Companies are also amassing more and more meticulous information relevant to their business, in order to optimize productivity and ROI (Return On Investment). I find the positioning of SQL and NoSQL (Not Only SQL) as opposites rather a shame: it’s true that the marketing wave of NoSQL has enabled the renewed promotion of a system that’s been around for quite a while, but which was only rarely considered in most cases, as after all, everything could be fitted into the « good old SQL model ». The reverse trend of wanting to make everything fit the NoSQL model is not very p
7 high scalability-2010-12-20-Netflix: Use Less Chatty Protocols in the Cloud - Plus 26 Fixes
Introduction: In 5 Lessons We’ve Learned Using AWS , Netflix's John Ciancutti says one of the big lessons they've learned is to create less chatty protocols : In the Netflix data centers, we have a high capacity, super fast, highly reliable network. This has afforded us the luxury of designing around chatty APIs to remote systems. AWS networking has more variable latency. We’ve had to be much more structured about “over the wire” interactions, even as we’ve transitioned to a more highly distributed architecture. There's not a lot of advice out there on how to create protocols. Combine that with a rush to the cloud and you have a perfect storm for chatty applications crushing application performance. Netflix is far from the first to be surprised by the less than stellar networks inside AWS. A chatty protocol is one where a client makes a series of requests to a server and the client must wait on each reply before sending the next request. On a LAN this can work great. LAN's are typically
8 high scalability-2010-12-17-Stuff the Internet Says on Scalability For December 17th, 2010
Introduction: If you missed it here's a link to my webinar and here's the slidedeck for the talk with a buch of additional slides that I didn't have a chance to talk about. The funky picture of Lincoln is classic. Can MySQL really handle 1,000,000 req/sec? Sure, when you turn it into a NoSQLish database, skip all the SQL processing, and access the backend store directly. Percona is making this possible with their H andlerSocket plugin based on the work of Yoshinori Matsunobu . Quotable Quotes: @ labsji : If SQL is an abstraction of Big machines....NoSQL is an abstration of distributed computing. @olov : man this eventual consistency #nosql thingy makes #facebook even more annoying. "you have a new comment, no you dont" Nice racks. Time has pictures of a Facebook datacenter. How Hunch Built a Data-Crunching Monster By Pete Warden. Really cool article following Huch through their scaling thought process. Their whole approach is based around parallelism within a
9 high scalability-2010-12-16-7 Design Patterns for Almost-infinite Scalability
Introduction: Good article from manageability.com  summarizing design patterns from Pat Helland's amazing paper Life beyond Distributed Transactions: an Apostate's Opinion . Entities are uniquely identified - each entity which represents disjoint data (i.e. no overlap of data between entities) should have a unique key. Multiple disjoint scopes of transactional serializability - in other words there are these 'entities' and that you cannot perform atomic transactions across these entities. At-Least-Once messaging - that is an application must tolerate message retries and out-of-order arrival of messages. Messages are adressed to entities - that is one can't abstract away from the business logic the existence of the unique keys for addresing entities. Addressing however is independent of location. Entities manage conversational state per party - that is, to ensure idemptency an entity needs to remember that a message has been previously processed. Furthermore, in a world with
Introduction: It's time to do something a little different and for me that doesn't mean cutting off my hair and joining a monastery, nor does it mean buying a cherry red convertible (yet), it means doing a webinar! On December 14th, 2:00 PM - 3:00 PM EST, I'll be hosting What Should I Do? Choosing SQL, NoSQL or Both for Scalable Web Applications . The webinar is sponsored by VoltDB, but it will be completely vendor independent, as that's the only honor preserving and technically accurate way of doing these things. The webinar will run about 60 minutes, with 40 minutes of speechifying and 20 minutes for questions. The hashtag for the event on Twitter will be SQLNoSQL . I'll be monitoring that hashtag if you have any suggestions for the webinar or if you would like to ask questions during the webinar. The motivation for me to do the webinar was a talk I had with another audience member at the NoSQL Evening in Palo Alto . He said he came from a Java background and was confused ab
11 high scalability-2010-12-08-How To Get Experience Working With Large Datasets
Introduction: I think I have been lucky that several of the projects I been worked on have exposed me to having to manage large volumes of data. The largest dataset was probably at MailChannels , though Livedoor.com also had some sizeable data for their books store and department store. Most of the pain with Livedoor’s data was from it being in Japanese. Other than that, it was pretty static. This was similar to the data I worked with at the BBC. You would be surprised at how much data can be involved with a single episode of a TV show. With any in-house generated data the update size and frequency is much less dramatic, even if the data is being regularly pumped in from 3rd parties. Those Humans The real fun comes when the public (that’s you guys) are generating data to be pumped into the system. MailChannels’ work with email, which is human generated (lies! 95% is actually from spambots). Humans are unpredictable. They suddenly all get excited about the same thing at the same time, they are
Introduction: Who's Hiring? Appirio is hiring 5 core product engineers for one of Silicon's Valley's "most promising startups". Fun and Informative Events A new round of Membase meetups have been planned for January 2011 for San Diego, Denver, Seattle, Vancouver and Chicago. Announcing My Webinar On December 14th: What Should I Do? Choosing SQL, NoSQL Or Both For Scalable Web Applications Cool Products and Services See how Joyent's cloud solutions support game studios from game concept to launch, then through rapid scalability and ongoing success . http://www.joyent.com/solutions/gamestudios/ CloudSigma . Instantly scalable European cloud servers. ManageEngine Applications Manager : Monitor physical, virtual and Cloud Applications . www.site24x7.com : Monitor End User Experience from a global monitoring network. A New Round of Membase Meetups for January 2011 A new round of Membase meetups have been planned for January 2011 for San Diego,
13 high scalability-2010-12-06-What the heck are you actually using NoSQL for?
Introduction: It's a truism that we should choose the right tool for the job . Everyone says that. And who can disagree? The problem is this is not helpful advice without being able to answer more specific questions like: What jobs are the tools good at? Will they work on jobs like mine? Is it worth the risk to try something new when all my people know something else and we have a deadline to meet? How can I make all the tools work together? In the NoSQL space this kind of real-world data is still a bit vague. When asked, vendors tend to give very general answers like NoSQL is good for BigData or key-value access. What does that mean for for the developer in the trenches faced with the task of solving a specific problem and there are a dozen confusing choices and no obvious winner? Not a lot. It's often hard to take that next step and imagine how their specific problems could be solved in a way that's worth taking the trouble and risk. Let's change that. What problems are you using NoSQL to sol
14 high scalability-2010-12-03-GPU vs CPU Smackdown : The Rise of Throughput-Oriented Architectures
Introduction: In some ways the original Amazon cloud, the one most of us still live in, was like that really cool house that when you stepped inside and saw the old green shag carpet in the living room, you knew the house hadn't been updated in a while. The network is a little slow, the processors are a bit dated, and virtualization made the house just feel smaller. It has been difficult to run high bandwidth or low latency workloads in the cloud. Bottlenecks everywhere. Not a big deal for most applications, but for many high performance applications (HPC) it was a killer. In a typical house you might just do a remodel. Upgrade a few rooms. Swap out builder quality appliances with gleaming stainless steel monsters. But Amazon has a big lot, instead of remodeling they simply keep adding on entire new wings, kind of like the Winchester Mystery House of computing. The first new wing added was a CPU based HPC system featuring blazingly fast Nehalem chips , virtualization replaced by a close t
Introduction: Who's Hiring? Appirio is hiring 5 core product engineers for one of Silicon's Valley's "most promising startups". Undertone is looking for a Software Engineer and a QA Engineer . Fun and Informative Events Announcing My Webinar On December 14th: What Should I Do? Choosing SQL, NoSQL Or Both For Scalable Web Applications O'Reilly Strata Making Data Work conference. Turn data into decisions. Cool Products and Services Cloudkick - monitor & manage your servers better with a FREE Cloudkick developer account. Learn how Kabam enlisted Joyent to be the cloud environment for its growing game empire. http://www.joyent.com/customers/kabam/ CloudSigma . Instantly scalable European cloud servers. ManageEngine Applications Manager : Monitor physical, virtual and Cloud Applications . www.site24x7.com : Monitor End User Experience from a global monitoring network. Announcing December 14th Webinar: What Should I Do? Choosing SQL, NoSQL Or
16 high scalability-2010-12-01-8 Commonly Used Scalable System Design Patterns
Introduction: Ricky Ho in Scalable System Design Patterns has created a great list of scalability patterns along with very well done explanatory graphics. A summary of the patterns are: Load Balancer - a dispatcher determines which worker instance will handle a request based on different policies. Scatter and Gather - a dispatcher multicasts requests to all workers in a pool. Each worker will compute a local result and send it back to the dispatcher, who will consolidate them into a single response and then send back to the client. Result Cache - a dispatcher will first lookup if the request has been made before and try to find the previous result to return, in order to save the actual execution. Shared Space - all workers monitors information from the shared space and contributes partial knowledge back to the blackboard. The information is continuously enriched until a solution is reached. Pipe and Filter - all workers connected by pipes across which data flows. MapReduc
17 high scalability-2010-11-30-NoCAP – Part III – GigaSpaces clustering explained..
Introduction: In many of the recent discussions on the design of large scale systems (a.k.a. Web Scale) it was argued that the right set of tradeoffs for building large scale systems would be to give away C onsistency for A vailability and P artition tolerance. Those arguments relied on the foundation of the CAP theorem developed in early 2000-2002. One of the core principals behind the CAP theorem is that you must choose two out of the three CAP properties. In many of the transactional systems giving away consistency is either impossible or yields a huge complexity in the design of those systems. In this series of posts, I've tried to suggest a different set of tradeoffs in which we could achieve scalability without compromising on consistency. I also argued that rather than choosing only two out of the three CAP properties we could choose various degrees of all three. The degrees would be determined by the most likely availability and partition tolerance scenarios in our specific application.
18 high scalability-2010-11-29-Stuff the Internet Says on Scalability For November 29th, 2010
Introduction: Eating turkey all weekend and wondering what you might have missed? James Hamilton on why “all you have learned about disks so far is probably wrong" in Availability in Globally Distributed Storage . It turns out for the same reason our financial systems melt down: black swans . The world is predictably unpredictable. Murat Demirbas also has a good post on the same Google research paper . Stack Overflow Hits 10M Uniques Vroom...Formula One racecar streams 27 gigabytes of telemetry data during a race weekend! 200 sensors “measuring anything and everything that moves or gets warm. Quotable Quotes: @dmalenko : It is cool to sit by the ocean, oversee the sunset and think about scalability models for a web app @detroitpro : I have to admit; sometimes I think "This would be easier with a SQL DB" #NoSQL #NotOften #ComplextRelationships #FindingRootObjects You may have missed the Google App Engine cage match . First GAE sucks and then it's gre
19 high scalability-2010-11-24-Great Introductory Video on Scalability from Harvard Computer Science
Introduction: Professor David Malan gives a very good lecture on scalability for dynamic websites. It's not highly technical, it's an extension course, but it's a great introduction to a wide variety of topics. I really like his teaching style. He continually asks questions, prompts for input, and gives accessible explanations. Some of the topics covered: vertical scaling; horizontal scaling; PHP acceleration; load balancing: DNS, L7, sticky sessions, load balancers; caching; MySQL: replication, load balancing, partitioning, high availability. Watch it on Academic Earth This is one lecture in a series of 13 lectures on building dynamic websites. Students learn how to: build dynamic websites with Ajax and with Linux , Apache , MySQL , and PHP ( LAMP ); set up domain names with DNS ; structure pages with XHTML and CSS how to program in JavaScript and PHP ; configure Apache and MySQL ; design and query databases with SQL ; use Ajax with both XML and JSON ;
Introduction: Who's Hiring? Imo is Hiring an Operations Engineer for a startup web-based service supporting multiple IM protocols. Appirio is hiring 5 core product engineers for one of Silicon's Valley's "most promising startups". Tuenti is hiring both a FrontEnd and BackEnd Engineer . Undertone is looking for a Software Engineer and a QA Engineer . Fun and Informative Events Announcing My Webinar On December 14th: What Should I Do? Choosing SQL, NoSQL Or Both For Scalable Web Applications Cool Products and Services Learn how Kabam enlisted Joyent to be the cloud environment for its growing game empire. http://www.joyent.com/customers/kabam/ CloudSigma . Instantly scalable European cloud servers. ManageEngine Applications Manager : Monitor physical, virtual and Cloud Applications . www.site24x7.com : Monitor End User Experience from a global monitoring network. Announcing December 14th Webinar: What Should I Do? Choosing SQL, NoSQL Or
21 high scalability-2010-11-22-Strategy: Google Sends Canary Requests into the Data Mine
23 high scalability-2010-11-17-Some Services are More Equal than Others
26 high scalability-2010-11-15-How Google's Instant Previews Reduces HTTP Requests
27 high scalability-2010-11-12-Stuff the Internet Says on Scalability For November 12th, 2010
28 high scalability-2010-11-09-The Tera-Scale Effect
30 high scalability-2010-11-09-Paper: Hyder - Scaling Out without Partitioning
31 high scalability-2010-11-09-Facebook Uses Non-Stored Procedures to Update Social Graphs
32 high scalability-2010-11-05-Hot Scalability Links For November 5th, 2010
36 high scalability-2010-10-28-Notes from A NOSQL Evening in Palo Alto
37 high scalability-2010-10-28-NoSQL Took Away the Relational Model and Gave Nothing Back
39 high scalability-2010-10-26-Scaling DISQUS to 75 Million Comments and 17,000 RPS
40 high scalability-2010-10-26-Marrying memcached and NoSQL
41 high scalability-2010-10-24-Hot Scalability Links For Oct 24, 2010
42 high scalability-2010-10-22-Paper: Netflix’s Transition to High-Availability Storage Systems
43 high scalability-2010-10-21-What is Network-based Application Virtualization and Why Do You Need It?
44 high scalability-2010-10-21-Machine VM + Cloud API - Rewriting the Cloud from Scratch
46 high scalability-2010-10-18-NoCAP
47 high scalability-2010-10-15-Troubles with Sharding - What can we learn from the Foursquare Incident?
48 high scalability-2010-10-14-I, Cloud
49 high scalability-2010-10-12-The CIO’s Problem: Cloud “Mess” or Cloud “Mash”
50 high scalability-2010-10-08-4 Scalability Themes from Surgecon
51 high scalability-2010-10-07-Hot Scalability Links For Oct 8, 2010
53 high scalability-2010-10-04-Paper: An Analysis of Linux Scalability to Many Cores
54 high scalability-2010-10-01-Hot Scalability Links For Oct 1, 2010
56 high scalability-2010-09-30-More Troubles with Caching
59 high scalability-2010-09-28-6 Strategies for Scaling BBC iPlayer
60 high scalability-2010-09-23-Working With Large Data Sets
61 high scalability-2010-09-22-Applying Scalability Patterns to Infrastructure Architecture
62 high scalability-2010-09-21-Sponsored Post: Joyent, DeviantART, CloudSigma, ManageEngine, Site24x7
64 high scalability-2010-09-17-Hot Scalability Links For Sep 17, 2010
65 high scalability-2010-09-16-Strategy: Buy New, Don't Fix the Old
67 high scalability-2010-09-11-Google's Colossus Makes Search Real-time by Dumping MapReduce
68 high scalability-2010-09-09-How did Google Instant become Faster with 5-7X More Results Pages?
69 high scalability-2010-09-09-6 Scalability Lessons
70 high scalability-2010-09-08-4 General Core Scalability Patterns
71 high scalability-2010-09-07-Sponsored Post: deviantART, Okta, CloudSigma, ManageEngine, Site24x7
72 high scalability-2010-09-05-Hilarious Video: Relational Database vs NoSQL Fanbois
73 high scalability-2010-09-03-Six guiding principles to Consolidate your IT
74 high scalability-2010-09-03-Hot Scalability Links For Sep 3, 2010
75 high scalability-2010-09-02-Distributed Hashing Algorithms by Example: Consistent Hashing
76 high scalability-2010-09-01-Scale-out vs Scale-up
77 high scalability-2010-09-01-Paper: The Case for Determinism in Database Systems
78 high scalability-2010-08-30-Pomegranate - Storing Billions and Billions of Tiny Little Files
79 high scalability-2010-08-27-OpenStack - The Answer to: How do We Compete with Amazon?
81 high scalability-2010-08-24-21 Quality Screencasts on Scaling Rails
82 high scalability-2010-08-23-Building a Scalable Key-Value Database: Project Hydracus
83 high scalability-2010-08-23-6 Ways to Kill Your Servers - Learning How to Scale the Hard Way
84 high scalability-2010-08-20-Hot Scalability Links For Aug 20, 2010
86 high scalability-2010-08-16-Scaling an AWS infrastructure - Tools and Patterns
87 high scalability-2010-08-13-Hot Scalability Links for Aug 13, 2010
88 high scalability-2010-08-12-Think of Latency as a Pseudo-permanent Network Partition
90 high scalability-2010-08-12-Designing Web Applications for Scalability
92 high scalability-2010-08-09-NoSQL on the Microsoft Platform
93 high scalability-2010-08-07-ArchCamp: Scalable Databases (NoSQL)
94 high scalability-2010-08-06-Hot Scalability Links for Aug 6, 2010
95 high scalability-2010-08-05-Pairing NoSQL and Relational Data Storage: MySQL with MongoDB
97 high scalability-2010-08-02-7 Scaling Strategies Facebook Used to Grow to 500 Million Users
98 high scalability-2010-07-30-Hot Scalability Links for July 30, 2010
99 high scalability-2010-07-30-Basho Lives up to their Name With Consistent Smashing
102 high scalability-2010-07-27-A Metric A$$-Ton of Joe Stump: The Cloud is Cheaper than Bare Metal
103 high scalability-2010-07-24-4 New Podcasts for Scalable Summertime Reading
105 high scalability-2010-07-20-Strategy: Consider When a Service Starts Billing in Your Algorithm Cost
106 high scalability-2010-07-20-Sponsored Post: ezRez, VoltDB and Digg are Hiring
107 high scalability-2010-07-17-Hot Scalability Links for July 17, 2010
109 high scalability-2010-07-13-Sponsored Post: VoltDB and Digg are Hiring
110 high scalability-2010-07-13-DbShards Part Deux - The Internals
111 high scalability-2010-07-12-Creating Scalable Digital Libraries
112 high scalability-2010-07-11-So, Why is Twitter Really Not Using Cassandra to Store Tweets?
113 high scalability-2010-07-09-Hot Scalability Links for July 9, 2010
114 high scalability-2010-07-08-Cloud AWS Infrastructure vs. Physical Infrastructure
115 high scalability-2010-07-07-Strategy: Recompute Instead of Remember Big Data
116 high scalability-2010-07-02-Hot Scalability Links for July 2, 2010
117 high scalability-2010-06-30-Paper: GraphLab: A New Framework For Parallel Machine Learning
119 high scalability-2010-06-25-Hot Scalability Links for June 25, 2010
120 high scalability-2010-06-23-Product: dbShards - Share Nothing. Shard Everything.
122 high scalability-2010-06-22-Exploring the software behind Facebook, the world’s largest site
124 high scalability-2010-06-16-WTF is Elastic Data Grid? (By Example)
125 high scalability-2010-06-16-Hot Scalability Links for June 16, 2010
126 high scalability-2010-06-14-How scalable could be a cPanel Hosting service?
127 high scalability-2010-06-10-The Four Meta Secrets of Scaling at Facebook
131 high scalability-2010-06-04-Strategy: Cache Larger Chunks - Cache Hit Rate is a Bad Indicator
132 high scalability-2010-06-03-Hot Scalability Links for June 3, 2010
133 high scalability-2010-06-01-Web Speed Can Push You Off of Google Search Rankings! What Can You Do?
134 high scalability-2010-06-01-Sponsored Post: Get Your High Scalability Fix at Digg
135 high scalability-2010-05-31-Scalable federated security with Kerberos
136 high scalability-2010-05-26-End-To-End Performance Study of Cloud Services
137 high scalability-2010-05-25-Strategy: Rule of 3 Admins to Save Your Sanity
140 high scalability-2010-05-14-Hot Scalability Links for May 14, 2010
141 high scalability-2010-05-12-The Rise of the Virtual Cellular Machines
142 high scalability-2010-05-10-Sify.com Architecture - A Portal at 3900 Requests Per Second
143 high scalability-2010-05-06-Going global on EC2
144 high scalability-2010-05-05-How will memristors change everything?
145 high scalability-2010-05-04-Business continuity with real-time data integration
146 high scalability-2010-05-03-MocoSpace Architecture - 3 Billion Mobile Page Views a Month
147 high scalability-2010-05-03-100 Node Hazelcast cluster on Amazon EC2
148 high scalability-2010-04-30-Hot Scalability Links for April 30, 2010
149 high scalability-2010-04-30-Behind the scenes of an online marketplace
150 high scalability-2010-04-29-Product: SciDB - A Science-Oriented DBMS at 100 Petabytes
153 high scalability-2010-04-20-Sponsored Post: Event - Social Developer Summit
154 high scalability-2010-04-19-The cost of High Availability (HA) with Oracle
155 high scalability-2010-04-19-Strategy: Order Two Mediums Instead of Two Smalls and the EC2 Buffet
156 high scalability-2010-04-16-Hot Scalability Links for April 16, 2010
157 high scalability-2010-04-14-Parallel Information Retrieval and Other Search Engine Goodness
158 high scalability-2010-04-13-Strategy: Saving Your Butt With Deferred Deletes
159 high scalability-2010-04-12-Poppen.de Architecture
161 high scalability-2010-04-08-Hot Scalability Links for April 8, 2010
162 high scalability-2010-04-06-Strategy: Make it Really Fast vs Do the Work Up Front
163 high scalability-2010-04-06-Sponsored Post: Event - Social Developer Summit
164 high scalability-2010-04-05-Intercloud: How Will We Scale Across Multiple Clouds?
165 high scalability-2010-04-01-Hot Scalability Links for April 1, 2010
167 high scalability-2010-03-26-Strategy: Caching 404s Saved the Onion 66% on Server Time
168 high scalability-2010-03-23-Digg: 4000% Performance Increase by Sorting in PHP Rather than MySQL
170 high scalability-2010-03-19-Hot Scalability Links for March 19, 2010
171 high scalability-2010-03-16-Justin.tv's Live Video Broadcasting Architecture
172 high scalability-2010-03-16-1 Billion Reasons Why Adobe Chose HBase
173 high scalability-2010-03-11-What would you like to ask Justin.tv?
174 high scalability-2010-03-10-Saying Yes to NoSQL; Going Steady with Cassandra at Digg
175 high scalability-2010-03-10-How FarmVille Scales - The Follow-up
176 high scalability-2010-03-09-Sponsored Post: Job Openings - Squarespace
177 high scalability-2010-03-09-Applications as Virtual States
178 high scalability-2010-03-05-Strategy: Planning for a Power Outage Google Style
179 high scalability-2010-03-04-How MySpace Tested Their Live Site with 1 Million Concurrent Users
180 high scalability-2010-03-03-Hot Scalability Links for March 3, 2010
181 high scalability-2010-03-02-Using the Ambient Cloud as an Application Runtime
182 high scalability-2010-02-26-MySQL and Memcached: End of an Era?
183 high scalability-2010-02-25-Paper: High Performance Scalable Data Stores
184 high scalability-2010-02-24-Hot Scalability Links for February 24, 2010
185 high scalability-2010-02-23-When to migrate your database?
186 high scalability-2010-02-23-Sponsored Post: Job Openings - Squarespace
187 high scalability-2010-02-19-Twitter’s Plan to Analyze 100 Billion Tweets
188 high scalability-2010-02-16-Seven Signs You May Need a NoSQL Database
189 high scalability-2010-02-15-The Amazing Collective Compute Power of the Ambient Cloud
190 high scalability-2010-02-15-Scaling Ambition at StackOverflow
191 high scalability-2010-02-12-Hot Scalability Links for February 12, 2010
192 high scalability-2010-02-10-ElasticSearch - Open Source, Distributed, RESTful Search Engine
193 high scalability-2010-02-08-How FarmVille Scales to Harvest 75 Million Players a Month
194 high scalability-2010-02-06-GEO-aware traffic load balancing and caching at CNBC.com
195 high scalability-2010-02-05-High Availability Principle : Concurrency Control
196 high scalability-2010-02-04-Hot Scalability Links for February 4, 2010
197 high scalability-2010-02-03-NoSQL Means Never Having to Store Blobs Again
198 high scalability-2010-02-02-Scale out your identity management
199 high scalability-2010-02-01-What Will Kill the Cloud?
200 high scalability-2010-01-27-Hot Scalability Links for January 28 2010
201 high scalability-2010-01-26-Product: HyperGraphDB - A Graph Database
202 high scalability-2010-01-25-Let's Welcome our Neo-Feudal Overlords
203 high scalability-2010-01-25-Designing applications for cloud deployment
204 high scalability-2010-01-22-How BuddyPoke Scales on Facebook Using Google App Engine
205 high scalability-2010-01-18-The Missing Piece in the Virtualization Stack (Part 1)
206 high scalability-2010-01-17-Applications Become Black Boxes Using Markets to Scale and Control Costs
207 high scalability-2010-01-13-10 Hot Scalability Links for January 13, 2010
208 high scalability-2010-01-11-Strategy: Don't Use Polling for Real-time Feeds
209 high scalability-2010-01-11-Have We Reached the End of Scaling?
210 high scalability-2010-01-04-11 Strategies to Rock Your Startup’s Scalability in 2010