high_scalability high_scalability-2014 high_scalability-2014-1649 knowledge-graph by maker-knowledge-mining
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Introduction: Hey, it's HighScalability time: Cross Section of an Undersea Cable. It's industrial art. The parts . The story . 400,000,000,000 : Wayback Machine pages indexed; 100 billion : Google searches per month; 10 million : Snapchat monthly user growth. Quotable Quotes: @duncanjw : The Great Rewrite - many apps will be rewritten not just replatformed over next 10 years says @cote #openstacksummit @RFFlores : The Openstack conundrum. If you don't adopt it, you will regret it in the future. If you do adopt it, you will regret it now elementai : I love Redis so much, it became like a superglue where "just enough" performance is needed to resolve a bottleneck problem, but you don't have resources to rewrite a whole thing in something fast. @antirez : "when software engineering is reduced to plumbing together generic systems, software engineers lose their sense of ownership" Tom Akehurst : Microservices vs. monolith is a false di
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1 If you don't adopt it, you will regret it in the future. [sent-7, score-0.213]
2 If you do adopt it, you will regret it now elementai : I love Redis so much, it became like a superglue where "just enough" performance is needed to resolve a bottleneck problem, but you don't have resources to rewrite a whole thing in something fast. [sent-8, score-0.289]
3 Don Neufeld : The first is to look deeply into the stack of implicit assumptions I’m working with. [sent-18, score-0.09]
4 It’s often the unspoken assumptions that are the most important ones. [sent-19, score-0.159]
5 If you think of a Hotel as an app, hotels have been doing in-app purchases for a long time. [sent-22, score-0.13]
6 They lead with a teaser rate and then charge for anything that might cross a desire-money threshold. [sent-23, score-0.197]
7 To go all the way hotels just need to let you stay for free and then fully monetize all the gamification points. [sent-30, score-0.195]
8 Follow the regal message as it flows from thread pool to thread pool, transforming as it makes its way to its final resting place. [sent-48, score-0.485]
9 We hope that Roshi stands in evidence for the case that the practice of software engineering can be a more thoughtful and crafted process. [sent-59, score-0.092]
10 Global real-time ranking at scale is one of those kind of things for Google App Engine. [sent-64, score-0.092]
11 More evidence of Redis as the Swiss Army Knife of the Infrastructure world. [sent-68, score-0.092]
12 So why If redis is already a part of the stack, why is Memcached still used alongside Redis? [sent-70, score-0.108]
13 Randy Bias : Infrastructure can’t ever be truly elastic, but its properties can enable elastic applications running on top of it. [sent-74, score-0.157]
14 An elastic cloud is one that has been designed such that individual cost of resources such as VMs, block storage, and objects is as inexpensive as possible. [sent-75, score-0.089]
15 I/O Multiplexing Using epoll and kqueue System Calls : In essence, this means taking a multitude of inputs and allowing one through at a given time (or combining them into a single input). [sent-88, score-0.131]
16 I/O multiplexing more specifically deals with input and output streams, blocking, reading, and writing. [sent-89, score-0.238]
17 In this example, I will demonstrate how multiplexing works using the linux kernel system call epoll. [sent-90, score-0.238]
18 First, as complex systems age, the environmental conditions under which they operate change dramatically. [sent-97, score-0.182]
19 We need to expect that complex systems will face unexpected environmental conditions and look hard for some form degraded operations mode. [sent-100, score-0.182]
20 2 years later, I decided to switch over to using a thread pool where disk operations instead would use regular blocking calls. [sent-104, score-0.312]
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Introduction: Hey, it's HighScalability time: Cross Section of an Undersea Cable. It's industrial art. The parts . The story . 400,000,000,000 : Wayback Machine pages indexed; 100 billion : Google searches per month; 10 million : Snapchat monthly user growth. Quotable Quotes: @duncanjw : The Great Rewrite - many apps will be rewritten not just replatformed over next 10 years says @cote #openstacksummit @RFFlores : The Openstack conundrum. If you don't adopt it, you will regret it in the future. If you do adopt it, you will regret it now elementai : I love Redis so much, it became like a superglue where "just enough" performance is needed to resolve a bottleneck problem, but you don't have resources to rewrite a whole thing in something fast. @antirez : "when software engineering is reduced to plumbing together generic systems, software engineers lose their sense of ownership" Tom Akehurst : Microservices vs. monolith is a false di
Introduction: What do you get when you take a SQL database and start a new implementation from scratch, taking advantage of the latest research and modern hardware? Mike Stonebraker , the sword wielding Johnny Appleseed of the database world, hopes you get something like his new database, VoltDB : a pure SQL, pure ACID, pure OLTP, shared nothing, sharded, scalable, lockless, open source, in-memory DBMS, purpose-built for running hundreds of thousands of transactions a second. VoltDB claims to be 100 times faster than MySQL, up to 13 times faster than Cassandra , and 45 times faster than Oracle, with near-linear scaling. Will VoltDB kill off the new NoSQL upstarts? Will VoltDB cause a mass extinction of ancient databases? Probably no and no to both questions, but it's a product with a definite point-of-view and is worth a look as the transaction component in your system. But will it be right for you? Let's see... I first heard the details about VoltDB at Gluecon , where Mr. Stonebraker pres
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Introduction: Who's Hiring? VoltDB is Hiring Get Your High Scalability Fix at Digg VoltDB Field/Community Engineer VoltDB is attracting more and more users every day. If you have a strong technical background in SQL and Linux, are experienced with production database deployments, and have a passion for customers and community, you could be just the person we are looking for. Are you excited about the prospect of working with users to develop and deploy VoltDB applications, and about helping users participate in the thriving VoltDB community? If so, read on at their job page . Get Your High Scalability Fix at Digg Interested in working on cutting-edge high-scale infrastructure at Digg? We're making a big investment in scaling and have committed to the NoSQL (Not only SQL) path with Cassandra . We're using other open-source infrastructure to help us scale including Hadoop, RabbitMQ, Zookeeper, Thrift, HDFS and Lucene. We're rewriting Digg from the ground up and we need
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Introduction: Hey, it's HighScalability time: New World Record BASE jumping from World's Tallest Building. #crazy 30 billion : total Pinterest pins; 500,000,000 : What'sApp users (700 million photos and 100 million videos every single day); 1 billion : Facebook active users on phones and tablets. Quotable Quotes: @jimplush : Google spent 2.3 billion on infrastructure in Q1. Remember that when you say you want to be "the Google of something" Clay Shirky: I think one of the things that happened to the P2P market for infrastructure is that users preference for predictable pricing vs resource-sensitive pricing is so overwhelming that they will overpay to anyone who can promise flat prices. And because the logic of centralization vs decentralization is so price sensitive, I don't think there is any logical reason to assume a broadly stable class of apps, separate from c
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Introduction: Hey, it's HighScalability time: Cross Section of an Undersea Cable. It's industrial art. The parts . The story . 400,000,000,000 : Wayback Machine pages indexed; 100 billion : Google searches per month; 10 million : Snapchat monthly user growth. Quotable Quotes: @duncanjw : The Great Rewrite - many apps will be rewritten not just replatformed over next 10 years says @cote #openstacksummit @RFFlores : The Openstack conundrum. If you don't adopt it, you will regret it in the future. If you do adopt it, you will regret it now elementai : I love Redis so much, it became like a superglue where "just enough" performance is needed to resolve a bottleneck problem, but you don't have resources to rewrite a whole thing in something fast. @antirez : "when software engineering is reduced to plumbing together generic systems, software engineers lose their sense of ownership" Tom Akehurst : Microservices vs. monolith is a false di
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Introduction: Hey, it's HighScalability time (this week is a fall harvest basket overflowing with good nutritious wisdom): ( Voyager: 36 yrs & 11B miles has reached interstellar space. So it begins... ) 170 million : metrics Twitter collects every minute; 350 million : Snapchat daily photo shares Quotable Quotes: @blowmage : OH: “Guys, databases don't know how to sort things. That's why NoSQL uses JavaScript.” Nokia insider : I look back and I think Nokia was just a very big company that started to maintain its position more than innovate for new opportunities. Paulo Siqueira : Ignoring scalability is not as bad as it sounds—if you use the proper tools. David Rosenthal : The relationship between diversity and risk is very complex. Jaime Teevan : the exact same result list will seem more relevant to you if it is returned just a fraction of a second faster. @aphyr : I use Redis as a queue #leaveDBalone Hey, I've
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Introduction: Hey, it's HighScalability time: (Leandro Erlich's super cool scaling illusion ) Who am I? I have 50 petabytes of data stored in Hadoop and Teradata, 400 million items for sale, 250 million queries a day, 100,000 pages served per second, 112 million active users, $75 billions sold in 2012...If you guessed eBay then you've won the auction. Quotable Quotes: Controlled Experiments at Large Scale : Bing found that every 100ms faster they deliver search result pages yields 0.6% more in revenue Luis Bettencourt : A city is first and foremost a social reactor. It works like a star, attracting people and accelerating social interaction and social outputs in a way that is analogous to how stars compress matter and burn brighter and faster the bigger they are. @nntaleb : unless you understand that fat tails come from concentration of errors, you should not discuss probability & risk Need to make Hadoop faster? Hadoop + GPU
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Introduction: Hey, it's HighScalability time: ( Ukrainian daredevil scaling buildings) Two Trillion Objects, 1.1 Million Requests / Second : S3; 1.4TB/s : Titan supercomputer has world’s fastest storage; four billion hours : Netflix streaming in last 3 months; $1.2B : Google's Q1 infrastructure spend Quotable Quotes: Google : We'll track EVERY task on EVERY data center server Stacey Higginbotham : All in all in the last five years the world has gained 54 Tbps of new capacity. @seveas : Scalability 103: Hardware sucks. Software sucks. Everything *will* break, prepare for failure of any component of your system. bloodredsun : The long and short of it is that Cassandra is a fantastic system for write heavy situations. What it is not good at are read heavy situations where deterministic low latency is required, which is pretty much what the pinterest guys were dealing with. @viktorklang : "The e-mail message could not be delivered because the user's
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Introduction: Hey, it's HighScalability time: Cross Section of an Undersea Cable. It's industrial art. The parts . The story . 400,000,000,000 : Wayback Machine pages indexed; 100 billion : Google searches per month; 10 million : Snapchat monthly user growth. Quotable Quotes: @duncanjw : The Great Rewrite - many apps will be rewritten not just replatformed over next 10 years says @cote #openstacksummit @RFFlores : The Openstack conundrum. If you don't adopt it, you will regret it in the future. If you do adopt it, you will regret it now elementai : I love Redis so much, it became like a superglue where "just enough" performance is needed to resolve a bottleneck problem, but you don't have resources to rewrite a whole thing in something fast. @antirez : "when software engineering is reduced to plumbing together generic systems, software engineers lose their sense of ownership" Tom Akehurst : Microservices vs. monolith is a false di
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Introduction: The Peregrine falcon is a bird of prey, famous for its high speed diving attacks , feeding primarily on much slower Hadoops. Wait, sorry, it is Kevin Burton of Spinn3r's new Peregrine project -- a new FAST modern map reduce framework optimized for iterative and pipelined map reduce jobs -- that feeds on Hadoops. If you don't know Kevin, he does a lot of excellent technical work that he's kind enough to share it on his blog . Only he hasn't been blogging much lately, he's been heads down working on Peregrine. Now that Peregrine has been released, here's a short email interview with Kevin on why you might want to take up falconry , the ancient sport of MapReduce. What does Spinn3r do that Peregrine is important to you? Ideally it was designed to execute pagerank but many iterative applications that we deploy and WANT to deploy (k-means) would be horribly inefficient under Hadoop as it doesn't have any support for merging and joining IO between tasks. It also doesn't support
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Introduction: This is an intuitive look at large data sizes By Julian Bunn in Globally Interconnected Object Databases . Bytes(8 bits) 0.1 bytes: A binary decision 1 byte: A single character 10 bytes: A single word 100 bytes: A telegram OR A punched card Kilobyte (1000 bytes) 1 Kilobyte: A very short story 2 Kilobytes: A Typewritten page 10 Kilobytes: An encyclopaedic page OR A deck of punched cards 50 Kilobytes: A compressed document image page 100 Kilobytes: A low-resolution photograph 200 Kilobytes: A box of punched cards 500 Kilobytes: A very heavy box of punched cards Megabyte (1 000 000 bytes) 1 Megabyte: A small novel OR A 3.5 inch floppy disk 2 Megabytes: A high resolution photograph 5 Megabytes: The complete works of Shakespeare OR 30 seconds of TV-quality video 10 Megabytes: A minute of high-fidelity sound OR A digital chest X-ray 20 Megabytes: A box of floppy disks 50 Megabytes: A digital mammogram 100 Megabyte
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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
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