high_scalability high_scalability-2013 knowledge-graph by maker-knowledge-mining
Introduction: Who's Hiring? Apple is hiring for multiple positions. Imagine what you could do here. At Apple, great ideas have a way of becoming great products, services, and customer experiences very quickly. Quality Assurance Engineer. The iOS Systems team is looking for a Quality Assurance engineer. In this role you will be expected to work hand-in-hand with the software engineering team to find and diagnose software defects. Please apply here . Sr Software Engineer iPhone. Do you love building highly scalable, distributed web applications? Does the idea of a fast-paced environment make your heart leap? Do you want your technical abilities to be challenged every day, and for your work to make a difference in the lives of millions of people? Please apply here . Sr Software Engineer . The iOS Systems Team is looking for a Software Engineer to work on operations, tools development and support of worldwide iOS Device sales and activations. Please apply here . Sr. Se
Introduction: There's a deep similarity between how long running systems like our brains and computers accumulate errors and repair themselves. Reboot it. Isn’t that the common treatment for most computer ailments? And you may have noticed now that your iPhone supports background processing it reboots a lot more often? Your DVR, phone, computer, router, car, and an untold number of long running computer systems all suffer from a nasty problem: over time they accumulate flaws and die or go crazy. Now think about your brain. It’s a long running program running on very complex and error prone hardware. How does your brain keep itself sane over time? The answer may be found in something we spend a third of our lives doing. Sleep. There’s new research out on how our brains are cleansed during sleep that has some interesting parallels to how we keep long running hardware-software systems up and running properly. This is a fun topic. Let’s explore it a little more. One of the most frustrating
3 high scalability-2013-12-20-Stuff The Internet Says On Scalability For December 20th, 2013
Introduction: Hey, it's HighScalability time (with so much cool info this week it will blow your mind): Amazing microscope image of a carnivorous bladderwort How many drones would it take to replace Santa? With a fleet of some 80 million or so F-16 drones the entire worldwide delivery could be completed in just over eight hours. Impressive, but a world without Rudolf is not a world I wish to contemplate. Quotable Quotes: @Loh : Always wanted to travel back in time to try fighting a younger version of yourself? Software development is the career for you! @mraleph : often devs still approach performance of JS code as if they are riding a horse cart but the horse had long been replaced with fusion reactor @peakscale : "The c3.large is 40% faster and has more than double the memory than the c1.medium but costs about the same" @techmilind : Conversation with an ex-Yahoo, now at a Telecom company. Replaced $22M of Teradata by $450K
Introduction: Here's a common situation and question from the mechanical-sympathy Google group by Avinash Agrawal on the black art of capacity planning: How to get started with sizing and capacity planning, assuming we don't know the software behavior and its completely new product to deal with? Gil Tene , Vice President of Technology and CTO & Co-Founder, wrote a very understandable and useful answer that is worth highlighting: Start with requirements. I see way too many "capacity planning" exercises that go off spending weeks measuring some irrelevant metrics about a system (like how many widgets per hour can this thing do) without knowing what they actually need it to do. There are two key sets of metrics to state here: the "how much" set and the "how bad" set: In the "How Much" part, you need to establish, based on expected business needs, Numbers for things (like connections, users, streams, transactions or messages per second) that you expect to interact with at the peak t
5 high scalability-2013-12-16-22 Recommendations for Building Effective High Traffic Web Software
Introduction: This is a guest post by Ashwanth Fernando, Software Engineer from the trenches at large scale internet companies. Inspired by the book "Effective Java" by Joshua Bloch, I wanted to share my holistic recommendations on building high traffic web software (i.e. web applications/services that serve high traffic loads). Some of these items may not be just about software design but also around surrounding areas such as the engineering organization, culture etc. Two disclaimers up front: 1) This is my opinion. 2) There will be real world situations where the below principles will be wrong as in all things "software". Please use common sense all the time. Consider using more than one datacenter There have been numerous horror stories about businesses, ahem going out of business because they just had a single datacenter. Its really important to have more than one data center if you want to protect yourself from natural disasters or electrical supply failures. Run all your datacen
6 high scalability-2013-12-13-Stuff The Internet Says On Scalability For December 13th, 2013
Introduction: Hey, it's HighScalability time: Test your sense of scale. Is this image of something microscopic or macroscopic? Find out . 80 billion : Netflix logging events per day; 10 petabytes : Ancestry.com data; six million : Foursquare checkins per day; Quotable Quotes: George Lakoff : What can't all your thoughts be conscious? Because consciousness is linear and your brain is parallel. The linear structure of consciousness could never keep up. @peakscale : "Engineers like to solve problems. If there are no problems handily available, they will create their own problems" - Scott Adams @kiwipom : “Immutability is magic pixie dust that makes distributed systems work” - Adrian Cockcroft @LachM : Netflix: SPEED at SCALE = breaks EVERYTHING. #yow13 Joe Landman : … you get really annoyed at the performance of grep on file IO (seriously folks? 32k or page size sized IO? What is this … 1992?) so you rewrite it in 20 minu
Introduction: PayPal gives yet another glowing report of an app rewritten in node.js experiencing substantial performance improvements. PayPal rewrote their account overview page, one of the most trafficked apps on the website, which was previously written in King Java. The benefits: Full-stack engineers. Using JavaScript on both the front-end and the back-end removed an artificial boundary between the browser and server, allowing engineers to code both. Built almost twice as fast with fewer people Written in 33% fewer lines of code Constructed with 40% fewer files Double the requests per second vs. the Java application. 35% decrease in the average response time for the same page. A common pro Java response is an argument like clearly these people don't know how to program Java. Or rewriting an application usually makes it faster. Or the benchmark is faulty. And so on. Consider it noted. These are all potential factors. Baron Schwartz from VividCortex has a different tak
Introduction: Who's Hiring? Apple is hiring for multiple positions. Imagine what you could do here. At Apple, great ideas have a way of becoming great products, services, and customer experiences very quickly. Quality Assurance Engineer. The iOS Systems team is looking for a Quality Assurance engineer. In this role you will be expected to work hand-in-hand with the software engineering team to find and diagnose software defects. Please apply here . Sr Software Engineer iPhone. Do you love building highly scalable, distributed web applications? Does the idea of a fast-paced environment make your heart leap? Do you want your technical abilities to be challenged every day, and for your work to make a difference in the lives of millions of people? Please apply here . Sr Software Engineer . The iOS Systems Team is looking for a Software Engineer to work on operations, tools development and support
Introduction: If you code in PHP have you ever wondered about moving to Facebook's HipHop JIT Virtual Machine for PHP ? With HipHop Facebook achieved over a 9x increase in web request throughput and over a 5x reduction in memory consumption compared to Zend PHP 5.2 engine + APC. But will HipHop really work for you? Is it really drop-in compatible? Is it really as fast as they say? To answer questions like this nothing beats a good experience report and here's a great one: Adventures in Configuring and Running Facebook's HipHopVM (hhvm) JIT Compiler for PHP by Yermo Lamers. Yermo selected PHP to implement a number of content web sites. He took an interesting approach, he created a forms, views, validation, and business logic description language to remove the drudgery of creating the same code over and over again for each page. Having done this in Perl I think it's a great a approach. The problem is it can be slow. PHP's slow string handling makes dynamically evaluating a description templat
10 high scalability-2013-12-09-In Memory: Grace Hopper to Programmers: Mind Your Nanoseconds!
Introduction: This is an article published last year, but as today is Grace Hopper's birthday I thought it would be a good time to share again an amazing talk from this amazing woman. Computing pioneer Grace Hopper , inventor of the compiler , searched for a concrete way to create an intuitive understanding of just how fast is a nanosecond, a billionth of a second, which was the speed of their new computer circuits. As an illustration she settled on the length of wire that is as long as light can travel in one nanosecond. The length is a very portable 11.8 inches . A microseconds worth of wire is a still portable, but a much bulkier 984 feet. In one millisecond light travels 186 miles, which only Hercules could carry. In today's terms, at a 3.06 GHz clock speed , there's .33 nanoseconds between ticks, or 3.73 inches of light travel. Understanding the profligate ways of programmers, she suggests that every programmer wear a necklace of a microseconds worth of wire so they know what they are
11 high scalability-2013-12-06-Stuff The Internet Says On Scalability For December 6th, 2013
Introduction: Hey, it's HighScalability time: Test your sense of scale. Is this image of something microscopic or macroscopic? Find out . 72 : Intel's 72 core x86 Processor; One Trillion : number of fonts served by Google. Quotable Quotes: West-Eberhard : The gene does not lead, it follows. @waldojaquith : To an ant, gravity is nothing, but surface tension is a powerful force. When you change scale, you play by different rules. Nicholas Christakis : The spread of germs is the price we pay for the spread of ideas. We assemble ourselves into networks to facilitate the flow information but we pay a price, the spread of disease. James Mickens : When you debug a distributed system or an OS kernel, you do it Texas-style. You gather some mean, stoic people, people who have seen things die, and you get some primitive tools, like a compass and a rucksack and a stick that’s pointed on one end, and you walk into the wilderness and you look for troub
12 high scalability-2013-12-04-How Can Batching Requests Actually Reduce Latency?
Introduction: Jeremy Edberg gave a talk on Scaling Reddit from 1 Million to 1 Billion–Pitfalls and Lessons and one of the issues they had was that they: Did not account for increased latency after moving to EC2. In the datacenter they had submillisecond access between machines so it was possible to make a 1000 calls to memache for one page load. Not so on EC2. Memcache access times increased 10x to a millisecond which made their old approach unusable. Fix was to batch calls to memcache so a large number of gets are in one request. Dave Pacheco had an interesting question about batching requests and its impact on latency: I was confused about the memcached problem after moving to the cloud. I understand why network latency may have gone from submillisecond to milliseconds, but how could you improve latency by batching requests? Shouldn't that improve efficiency, not latency, at the possible expense of latency (since some requests will wait on the client as they get batched)?
13 high scalability-2013-12-02-Evolution of Bazaarvoice’s Architecture to 500M Unique Users Per Month
Introduction: This is a guest post written by Victor Trac , Cloud Architect at Bazaarvoice . Bazaarvoice is a company that people interact with on a regular basis but have probably never heard of. If you read customer reviews on sites like bestbuy.com, nike.com, or walmart.com, you are using Bazaarvoice services. These sites, along with thousands of others, rely on Bazaarvoice to supply the software and technology to collect and display user conversations about products and services. All of this means that Bazaarvoice processes a lot of sentiment data on most of the products we all use daily. Bazaarvoice helps our clients make better products by using a combination of machine learning and natural language processing to extract useful information and user sentiments from the millions of free-text reviews that go through our platform. This data gets boiled down into reports that clients can use to improve their products and services. We are also starting to look at how to show per
14 high scalability-2013-11-29-One Story of Life as Told Through Queues
Introduction: Love this little example of the human condition from John Kellden  via Ilya Grigorik . This happens so often to me shopping at Costco or making lane changes on the highway or picking stocks. Sometimes it's just never the right line and trying to make it better only makes it worse. Stick and stay. Buy and hold. Live to queue another day.
Introduction: The story of driving the golden spike to symbolize the completion of the transcontinental railroad is famous in the US. What is not so well known is the story of how it also foreshadowed changes to come as an early version of both the Internet and the Internet of Things. But that was 1869, how can that possibly be? Telegraph as Internet First, let's establish the telegraph and cable systems was an early version of an Internet. As railroad tracks were being laid a transcontental telegraph system was also being constructed. Telegraph lines were installed parallel to the tracks making instant communication available across the continent, faster than any horse could ride. With the transalantic cable system information could quickly span continents in minutes: The miles of American telegraph grew from 40 in 1846 to 12,000 in 1850 to 23,000 in 1852. In Europe it increased from 2,000 in 1849 to 110,000 in 1869. The cost of sending 10 words was $1.55 in 1850, $1 in 1870, 40
Introduction: Who's Hiring? Apple is hiring for multiple positions. Imagine what you could do here. At Apple, great ideas have a way of becoming great products, services, and customer experiences very quickly. Quality Assurance Engineer. The iOS Systems team is looking for a Quality Assurance engineer. In this role you will be expected to work hand-in-hand with the software engineering team to find and diagnose software defects. Please apply here . Sr Software Engineer iPhone. Do you love building highly scalable, distributed web applications? Does the idea of a fast-paced environment make your heart leap? Do you want your technical abilities to be challenged every day, and for your work to make a difference in the lives of millions of people? Please apply here . Sr. Software Engineer. You will primarily work with the domain team including project managers and engineers, as well as a large team of consultants in
Introduction: This is a guest post by Mark Travis , Founder of InfiniSQL . InfiniSQL is the specific "Infinitely Scalable RDBMS" to which the title refers. It is free software, and instructions for getting, building, running and testing it are available in the guide . Benchmarking shows that an InfiniSQL cluster can handle over 500,000 complex transactions per second with over 100,000 simultaneous connections, all on twelve small servers. The methods used to test are documented, and the code is all available so that any practitioner can achieve similar results. There are two main characteristics which make InfiniSQL extraordinary: It performs transactions with records on multiple nodes better than any clustered/distributed RDBMS It is free, open source. Not just a teaser "community" version with the good stuff proprietary. The community version of InfiniSQL will also be the enterprise version, when it is ready. InfiniSQL is still in early stages of development--it already has m
18 high scalability-2013-11-22-Stuff The Internet Says On Scalability For November 22th, 2013
Introduction: Hey, it's HighScalability time: Test your sense of scale. Is this image of something microscopic or macroscopic? Find out . 26,496 : number of cores in Amazon's supercomputer; 128 billion : WDC's huge web graph publicly available; 400 million : Snapchat more photos than Facebook per day; 300,000 : Microsoft's servers for Xbox; 1 million : MessageMe user growth in one week Quotable Quotes: Jony Ive : I feel that ideas are very fragile, so you have to be tender when they are in development. I realized that if he pissed on this, it would be so sad because I know it was so important. @BenedictEvans : 100m users is the new 1m users. $4bn is the new $400m. 30 staff is the new 300 staff. @postwait : Knowing the latency of every I/O on every spindle in every machine in every rack... over all of time. Done & eye-opening. Thanks @circonus. @mrb_bk : Things that hurt: unbounded memory growth. Things that help: concurrency control. @sog
Introduction: Netty is a high-performance NIO (New IO) client server framework for Java that Twitter uses internally as a protocol agonostic RPC system. Twitter found some problems with Netty 3's memory management for buffer allocations beacause it generated a lot of garbage during operation. When you send as many messages as Twitter it creates a lot of GC pressure and the simple act of zero filling newly allocated buffers consumed 50% of memory bandwidth. Netty 4 fixes this situation with: Short-lived event objects, methods on long-lived channel objects are used to handle I/O events. Secialized buffer allocator that uses pool which implements buddy memory allocation and slab allocation . The result: 5 times less frequent GC pauses: 45.5 vs. 9.2 times/min 5 times less garbage production: 207.11 vs 41.81 MiB/s The buffer pool is much faster than JVM as the size of the buffer increases. Some problems with smaller buffers. Given how many services use the JVM in thei
Introduction: In 1999 Dan Kegel issued a big hairy audacious challenge to web servers: It's time for web servers to handle ten thousand clients simultaneously, don't you think? After all, the web is a big place now. This became known as the C10K problem . Engineers solved the C10K scalability problems by fixing OS kernels and moving away from threaded servers like Apache to event-driven servers like Nginx and Node. Today we are considering an even bigger goal, how to support 10 Million Concurrent Connections , which requires even more radical techniques. No similar challenge was issued for managing servers in a datacenter, but according to Dave Neary from Red Hat, in a recent FLOSS Weekly episode , we have passed the 10K barrier for server management with 10,000 or more servers managed per sysadmin. Should we let this milestone pass without mention? Absolutely not! It’s a stunning accomplishment with 200x-2000x increases in productivity. Dave said h
21 high scalability-2013-11-15-Stuff The Internet Says On Scalability For November 15th, 2013
24 high scalability-2013-11-11-Ask HS: What is a good OLAP database choice with node.js?
25 high scalability-2013-11-08-Stuff The Internet Says On Scalability For November 8th, 2013
26 high scalability-2013-11-07-Paper: Tempest: Scalable Time-Critical Web Services Platform
27 high scalability-2013-11-05-10 Things You Should Know About AWS
32 high scalability-2013-10-28-Design Decisions for Scaling Your High Traffic Feeds
33 high scalability-2013-10-25-Stuff The Internet Says On Scalability For October 25th, 2013
34 high scalability-2013-10-23-Strategy: Use Linux Taskset to Pin Processes or Let the OS Schedule It?
36 high scalability-2013-10-18-Stuff The Internet Says On Scalability For October 18th, 2013
39 high scalability-2013-10-13-AIDA: Badoo’s journey into Continuous Integration
40 high scalability-2013-10-11-Stuff The Internet Says On Scalability For October 11th, 2013
41 high scalability-2013-10-08-F1 and Spanner Holistically Compared
43 high scalability-2013-10-04-Stuff The Internet Says On Scalability For October 4th, 2013
44 high scalability-2013-10-02-RFC 1925 - The Twelve (Timeless) Networking Truths
47 high scalability-2013-09-27-Stuff The Internet Says On Scalability For September 27, 2013
48 high scalability-2013-09-25-Great Open Source Solution for Boring HA and Scalability Problems
49 high scalability-2013-09-23-Salesforce Architecture - How they Handle 1.3 Billion Transactions a Day
50 high scalability-2013-09-20-Stuff The Internet Says On Scalability For September 20, 2013
51 high scalability-2013-09-18-If You're Programming a Cell Phone Like a Server You're Doing it Wrong
53 high scalability-2013-09-16-The Hidden DNS Tax - Cascading Timeouts and Errors
54 high scalability-2013-09-13-Stuff The Internet Says On Scalability For September 13, 2013
55 high scalability-2013-09-11-Ten Lessons from GitHub’s First Year in 2008
56 high scalability-2013-09-09-Need Help with Database Scalability? Understand I-O
57 high scalability-2013-09-06-Stuff The Internet Says On Scalability For September 6, 2013
58 high scalability-2013-09-05-Paper: MillWheel: Fault-Tolerant Stream Processing at Internet Scale
59 high scalability-2013-09-04-Wide Fast SATA: the Recipe for Hot Performance
61 high scalability-2013-08-30-Stuff The Internet Says On Scalability For August 30, 2013
62 high scalability-2013-08-28-Sean Hull's 20 Biggest Bottlenecks that Reduce and Slow Down Scalability
64 high scalability-2013-08-23-Stuff The Internet Says On Scalability For August 23, 2013
67 high scalability-2013-08-19-What can the Amazing Race to the South Pole Teach us About Startups?
68 high scalability-2013-08-16-Stuff The Internet Says On Scalability For August 16, 2013
69 high scalability-2013-08-13-In Memoriam: Lavabit Architecture - Creating a Scalable Email Service
70 high scalability-2013-08-12-100 Curse Free Lessons from Gordon Ramsay on Building Great Software
71 high scalability-2013-08-09-Stuff The Internet Says On Scalability For August 9, 2013
72 high scalability-2013-08-07-RAFT - In Search of an Understandable Consensus Algorithm
75 high scalability-2013-07-22-We're on a Break
76 high scalability-2013-07-19-Stuff The Internet Says On Scalability For July 19, 2013
78 high scalability-2013-07-17-How do you create a 100th Monkey software development culture?
79 high scalability-2013-07-15-Ask HS: What's Wrong with Twitter, Why Isn't One Machine Enough?
80 high scalability-2013-07-12-Stuff The Internet Says On Scalability For July 12, 2013
83 high scalability-2013-07-05-Stuff The Internet Says On Scalability For July 5, 2013
84 high scalability-2013-07-03-5 Rockin' Tips for Scaling PHP to 30,000 Concurrent Users Per Server
86 high scalability-2013-06-28-Stuff The Internet Says On Scalability For June 28, 2013
87 high scalability-2013-06-27-Paper: XORing Elephants: Novel Erasure Codes for Big Data
91 high scalability-2013-06-21-Stuff The Internet Says On Scalability For June 21, 2013
92 high scalability-2013-06-19-Paper: MegaPipe: A New Programming Interface for Scalable Network I-O
94 high scalability-2013-06-14-Stuff The Internet Says On Scalability For June 14, 2013
97 high scalability-2013-06-10-The 10 Deadly Sins Against Scalability
98 high scalability-2013-06-07-Stuff The Internet Says On Scalability For June 7, 2013
99 high scalability-2013-06-06-Paper: Memory Barriers: a Hardware View for Software Hackers
100 high scalability-2013-06-05-A Simple 6 Step Transition Guide for Moving Away from X to AWS
101 high scalability-2013-06-03-GOV.UK - Not Your Father's Stack
102 high scalability-2013-05-31-Stuff The Internet Says On Scalability For May 31, 2013
103 high scalability-2013-05-30-Google Finds NUMA Up to 20% Slower for Gmail and Websearch
104 high scalability-2013-05-29-Amazon: Creating a Customer Utopia One Culture Hack at a Time
106 high scalability-2013-05-24-Stuff The Internet Says On Scalability For May 24, 2013
108 high scalability-2013-05-22-Strategy: Stop Using Linked-Lists
109 high scalability-2013-05-20-The Tumblr Architecture Yahoo Bought for a Cool Billion Dollars
110 high scalability-2013-05-17-Stuff The Internet Says On Scalability For May 17, 2013
111 high scalability-2013-05-16-Paper: Warp: Multi-Key Transactions for Key-Value Stores
115 high scalability-2013-05-10-Stuff The Internet Says On Scalability For May 10, 2013
117 high scalability-2013-05-07-Not Invented Here: A Comical Series on Scalability
118 high scalability-2013-05-06-7 Not So Sexy Tips for Saving Money On Amazon
119 high scalability-2013-05-03-Stuff The Internet Says On Scalability For May 3, 2013
122 high scalability-2013-04-29-AWS v GCE Face-off and Why Innovation Needs Lower Cost Infrastructures
123 high scalability-2013-04-26-Stuff The Internet Says On Scalability For April 26, 2013
125 high scalability-2013-04-24-Strategy: Using Lots of RAM Often Cheaper than Using a Hadoop Cluster
126 high scalability-2013-04-23-Facebook Secrets of Web Performance
127 high scalability-2013-04-19-Stuff The Internet Says On Scalability For April 19, 2013
131 high scalability-2013-04-12-Stuff The Internet Says On Scalability For April 12, 2013
134 high scalability-2013-04-05-Stuff The Internet Says On Scalability For April 5, 2013
136 high scalability-2013-04-03-5 Steps to Benchmarking Managed NoSQL - DynamoDB vs Cassandra
138 high scalability-2013-04-01-Khan Academy Checkbook Scaling to 6 Million Users a Month on GAE
139 high scalability-2013-03-29-Stuff The Internet Says On Scalability For March 29, 2013
142 high scalability-2013-03-22-Stuff The Internet Says On Scalability For March 22, 2013
143 high scalability-2013-03-20-Dart - Is it the Future of the Web?
145 high scalability-2013-03-18-Beyond Threads and Callbacks - Application Architecture Pros and Cons
146 high scalability-2013-03-15-Stuff The Internet Says On Scalability For March 15, 2013
148 high scalability-2013-03-12-If Your System was a Symphony it Might Sound Like This...
149 high scalability-2013-03-11-Low Level Scalability Solutions - The Conditioning Collection
150 high scalability-2013-03-08-Stuff The Internet Says On Scalability For March 8, 2013
152 high scalability-2013-03-06-Low Level Scalability Solutions - The Aggregation Collection
154 high scalability-2013-03-04-NoSQL Style - A Gangnam Style Parody
155 high scalability-2013-03-04-7 Life Saving Scalability Defenses Against Load Monster Attacks
156 high scalability-2013-03-01-Stuff The Internet Says On Scalability For February 29, 2013
157 high scalability-2013-02-27-42 Monster Problems that Attack as Loads Increase
159 high scalability-2013-02-22-Stuff The Internet Says On Scalability For February 22, 2013
162 high scalability-2013-02-19-Puppet monitoring: how to monitor the success or failure of Puppet runs
163 high scalability-2013-02-15-Stuff The Internet Says On Scalability For February 15, 2013
164 high scalability-2013-02-14-When all the Program's a Graph - Prismatic's Plumbing Library
166 high scalability-2013-02-11-At Scale Even Little Wins Pay Off Big - Google and Facebook Examples
167 high scalability-2013-02-08-Stuff The Internet Says On Scalability For February 8, 2013
169 high scalability-2013-02-06-Super Bowl Advertisers Ready for the Traffic? Nope..It's Lights Out.
171 high scalability-2013-02-05-Ask HighScalability: Memcached and Relations
173 high scalability-2013-02-01-Stuff The Internet Says On Scalability For February 1, 2013
175 high scalability-2013-01-28-DuckDuckGo Architecture - 1 Million Deep Searches a Day and Growing
176 high scalability-2013-01-25-Stuff The Internet Says On Scalability For January 25, 2013
177 high scalability-2013-01-24-NoSQL Parody: say No! No! and No!
181 high scalability-2013-01-18-Stuff The Internet Says On Scalability For January 18, 2013
182 high scalability-2013-01-16-What if Cars Were Rented Like We Hire Programmers?
183 high scalability-2013-01-15-More Numbers Every Awesome Programmer Must Know
184 high scalability-2013-01-14-MongoDB and GridFS for Inter and Intra Datacenter Data Replication
185 high scalability-2013-01-11-Stuff The Internet Says On Scalability For January 11, 2013
186 high scalability-2013-01-09-The Story of How Turning Disk Into a Service Lead to a Deluge of Density
189 high scalability-2013-01-04-Stuff The Internet Says On Scalability For January 4, 2013
190 high scalability-2013-01-02-Why Pinterest Uses the Cloud Instead of Going Solo - To Be Or Not To Be