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Thursday
Apr282016

How Walmart Canada’s responsive redesign boosted conversions by 20%: a case Study

With conversion optimization on the rise, it is a great idea to look into case studies which help you learn and adopt them to your personal needs positively. To find the material on conversion optimization you need from case studies, here are some few pointers:

  • Find out which case studies reflect your situation currently in business and your future aspirations.
  • Find out why a certain aspect of a case study worked and how to adopt it to specifically address your website’s needs.
  • Ensure you keep the references of your case study in order to go back to them when you need them.
Find out which case studies reflect your situation currently in business and your future aspirations.
Find out why a certain aspect of a case study worked and how to adopt it to specifically address your website’s needs.
Ensure you keep the references of your case study in order to go back to them when you need them.

Find out which case studies reflect your situation currently in business and your future aspirations.Find out why a certain aspect of a case study worked and how to adopt it to specifically address your website’s needs.Ensure you keep the references of your case study in order to go back to them when you need them.

Receptive web design is time consuming and requires monetary resources to implement. It took Walmart Canada almost a year of work to refine the site and make it fully responsive. However, their results show that it provided a Return on Investment in months owing to the increased revenue of mobile gadgets.

Research

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Wednesday
Apr272016

The Platform Advantage of Amazon, Facebook, and Google

Where’s the mag­ic? [Amazon] The databas­ing and stream­ing and sync­ing in­fras­truc­ture we build on is pret­ty slick, but that’s not the se­cret. The man­age­ment tools are nifty, too; but that’s not it ei­ther. It’s the trib­al knowl­edge: How to build Cloud in­fras­truc­ture that works in a fal­li­ble, messy, un­sta­ble world.

Tim Bray, Senior Principal Engineer at Amazon, in Cloud Eventing

Ben Thompson makes the case in Apple's Organizational Crossroads and in a recent episode of Exponent that Apple has a services problem. With the reaching of peak iPhone Apple naturally wants to turn to services as a way to expand revenues. The problem is Apple has a mixed history of delivering services at scale and Ben suggests that the strength of Apple, its functional organization, is a weakness when it comes to making services. The same skill set you need to create great devices is not the same skill set you need to create great services. He suggests: “Apple’s services need to be separated from the devices that are core to the company, and the managers of those services need to be held accountable via dollars and cents.”

If Apple has this problem they are not the only ones. Only a few companies seemed to have cross the chasm of learning how to deliver a stream of new features at a worldwide scale: Amazon, Facebook, and Google. And of these Amazon is the clear winner.

This is the Amazon Web Services console, it shows the amazing number of services Amazon produces, and it doesn’t even include whole new platforms like the Echo:

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Tuesday
Apr262016

Sponsored Post: Aerospike, TrueSight Pulse, Redis Labs, InMemory.Net, VividCortex, MemSQL, Scalyr, AiScaler, AppDynamics, ManageEngine, Site24x7

Who's Hiring?

  • Software Engineer (DevOps). You are one of those rare engineers who loves to tinker with distributed systems at high scale. You know how to build these from scratch, and how to take a system that has reached a scalability limit and break through that barrier to new heights. You are a hands on doer, a code doctor, who loves to get something done the right way. You love designing clean APIs, data models, code structures and system architectures, but retain the humility to learn from others who see things differently. Apply to AppDynamics

  • Software Engineer (C++). You will be responsible for building everything from proof-of-concepts and usability prototypes to deployment- quality code. You should have at least 1+ years of experience developing C++ libraries and APIs, and be comfortable with daily code submissions, delivering projects in short time frames, multi-tasking, handling interrupts, and collaborating with team members. Apply to AppDynamics

Fun and Informative Events

  • Discover the secrets of scalability in IT. The cream of the Amsterdam and Berlin tech scene are coming together during TechSummit, hosted by LeaseWeb for a great day of tech talk. Find out how to build systems that will cope with constant change and create agile, successful businesses. Speakers from SoundCloud, Fugue, Google, Docker and other leading tech companies will share tips, techniques and the latest trends in a day of interactive presentations. But hurry. Tickets are limited and going fast! No wonder, since they are only €25 including lunch and beer.

  • In today’s enterprise, new applications are being invented in droves. To cultivate this momentum, organizations must provide a fast, reliable environment that enables scalability, empowers innovation and reduces complexity. In a webinar on April 26 entitled “Contain Yourself: Development Just Got Easier”, veteran analyst Dr. Robin Bloor will discuss using containers for application and services development. He’ll be briefed by Alvin Richards of Aerospike (the flash-optimized, high-performance NoSQL database) who will showcase how Docker can simplify building and deploying multi-node Aerospike applications. Sign up here to reserve your seat!

Cool Products and Services

  • TrueSight Pulse is SaaS IT performance monitoring with one-second resolution, visualization and alerting. Monitor on-prem, cloud, VMs and containers with custom dashboards and alert on any metric. Start your free trial with no code or credit card.

  • Turn chaotic logs and metrics into actionable data. Scalyr is a tool your entire team will love. Get visibility into your production issues without juggling multiple tools and tabs. Loved and used by teams at Codecademy, ReturnPath, and InsideSales. Learn more today or see why Scalyr is a great alternative to Splunk.

  • InMemory.Net provides a Dot Net native in memory database for analysing large amounts of data. It runs natively on .Net, and provides a native .Net, COM & ODBC apis for integration. It also has an easy to use language for importing data, and supports standard SQL for querying data. http://InMemory.Net

  • VividCortex measures your database servers’ work (queries), not just global counters. If you’re not monitoring query performance at a deep level, you’re missing opportunities to boost availability, turbocharge performance, ship better code faster, and ultimately delight more customers. VividCortex is a next-generation SaaS platform that helps you find and eliminate database performance problems at scale.

  • MemSQL provides a distributed in-memory database for high value data. It's designed to handle extreme data ingest and store the data for real-time, streaming and historical analysis using SQL. MemSQL also cost effectively supports both application and ad-hoc queries concurrently across all data. Start a free 30 day trial here: http://www.memsql.com/

  • aiScaler, aiProtect, aiMobile Application Delivery Controller with integrated Dynamic Site Acceleration, Denial of Service Protection and Mobile Content Management. Also available on Amazon Web Services. Free instant trial, 2 hours of FREE deployment support, no sign-up required. http://aiscaler.com

  • ManageEngine Applications Manager : Monitor physical, virtual and Cloud Applications.

  • www.site24x7.com : Monitor End User Experience from a global monitoring network.

If any of these items interest you there's a full description of each sponsor below...

Click to read more ...

Monday
Apr252016

The Joy of Deploying Apache Storm on Docker Swarm

This is a guest repost from Baqend Tech on deploying and redeploying an Apache Storm cluster on top of Docker Swarm instead of deploying on VMs. It's an interesting topic because of the experience Wolfram Wingerath called it "a real joy", which is not a phrase you hear often in tech. Curious, I asked what made using containers such a good experience over using VMs? Here's his reply:

Being pretty new to Docker and Docker Swarm, I'm sure there are many good and bad sides I am not aware of, yet. From my point of view, however, the thing that makes deployment (and operation in general) on top of Docker way more fun than on VMs or even on bare metal is that Docker abstracts from heterogeneity and many issues. Once you have Docker running, you can start something like a MongoDB or a Redis server with a single-line statement. If you have a Docker Swarm cluster, you can do the same, but Docker takes care of distributing the thing you just started to some server in your cluster. Docker even takes care of downloading the correct image in case you don't have it on your machine right now. You also don't have to fight as much with connectivity issues, because every machine can reach every other machine as long as they are in the same Docker network. As demonstrated in the tutorial, this even goes for distributed setups, as long as you have an _overlay_ network.

 

When I wrote the lines you were quoting in your email, I had a situation in the back of my head that had occurred a few months back when I had to set up and operate an Apache Storm cluster with 16+ nodes. There were several issues such as my inexperience with AWS (coming from OpenStack) and strange connectivity problems relating to Netty (used by Storm) and AWS hostname resolution that had not occurred in my OpenStack setup and eventually cost us several days and several hundred bucks to fix. I really think that you can shield from problems like that by using Docker, simply because your environment remains the same: Docker.

On to the tutorial...

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Friday
Apr222016

Stuff The Internet Says On Scalability For April 22nd, 2016

Hey, it's HighScalability time:


A perfect 10. Really stuck that landing. Nadia Comaneci approves.

 

If you like this sort of Stuff then please consider offering your support on Patreon.
  • $1B: Supercell’s Clash Royale projected annual haul; 3x: Messenger and WhatsApp send more messages than SMS; 20%: of big companies pay zero corporate taxes; Tens of TB's RAM: Netflix's Container Runtime; 1 Million: People use Facebook over Tor; $10.0 billion: Microsoft raining money in the cloud; 

  • Quotable Quotes:
    • @nehanarkhede: @LinkedIn's use of @apachekafka:1.4 trillion msg/day, 1400 brokers. Powers database replication, change capture etc
    • @kenkeiter~ Full-duplex on a *single antenna* -- this is huge.  (single chip, too -- that's the other huge part, obviously) 
    • John Langford: In the next few years, I expect machine learning to solve no important world issues.
    • Dan Rayburn: By My Estimate, Apple’s Internal CDN Now Delivers 75% Of Their Own Content
    • @BenedictEvans: If Google sees the device as dumb glass, Apple sees the cloud as dumb pipes & dumb storage. Both views could lead to weakness
    • @JordanRinke: We need less hackathons, more apprenticeships. Less bootcamps, more classes. Less rockstars, more mentors. Develop people instead of product
    • @alicegoldfuss: Nagios screaming / Data center ablaze? No / Cable was unplugged
    • Mark Bates: As I was working on the software part time, I was keen to minimise the [cognitive] scope required when making changes. A RoR monolith was the best choice in this case.
    • Google: Our tests have shown that AMP documents load an average of four times faster and use 10 times less data than the equivalent non-amp’ed result.
    • @stevesi: In earning's call @sundarpichai says going “from mobile-first to AI-first world" emphasizing AI and machine learning across services.
    • Rex Sorgatz: Unfortunately, the entire thesis of my story is that having the history of recorded music in your pocket dictates that you will develop tastes outside “the usual.”
    • Newzoo: Clash Royale has rocketed to such quick success because of its strong core gameplay elements combined with some serious pressure to spend real money to keep up with your friends
    • vgt:  I'm going to plug Google Cloud's Preemptible VMs as a simpler alternative to Spot Instances: - Preemptible VMs are sold at a fixed 70% off discount, removing pricing volatility entirely
    • @mfdii~ "Cloud Native" is code words for "rewrite the entire f*cking app"
    • There are so many great Quotable Quotes this week they wouldn't all fit in the summary. Please see the full post to read them all.

  • Imperfection as a strategy. Why a Chip That’s Bad at Math Can Help Computers Tackle Harder Problems: In a simulated test using software that tracks objects such as cars in video, Singular’s approach [computer chips are hardwired to be incapable of performing mathematical calculations correctly] was  capable of processing frames almost 100 times faster than a conventional processor restricted to doing correct math—while using less than 2 percent as much power.

  • You have to fight magic with magic, super-villains with super-heroes, and algorithms with algorithms. How I Investigated Uber Surge Pricing in D.C. Also, Investigating the algorithms that govern our lives.

  • Mitchell Hashimoto in The Cloudcast #246  on some cloud trends. Seeing a lot of interest in non-Amazon clouds right now. A lot of interest in Azure is coming from more boring successful companies, not hot Silicon Valley startups.  This is not a clean market segmentation, but there are three flavors of cloud: Google Compute for the green field startup crowd, Amazon for enterprise, and Azure for super-enterprise. One enterprise attractor for Azure is Azure Stack, an on-premises solution. Mitchell is seeing a broad adoption of the cloud across industries you may not expect to be using the cloud. Also seeing a transition to a multi-cloud strategy to create pricing leverage. The idea seems to be to rehearse and plan to move to another cloud, though they may not actually do it, but when pricing negotiations come up there's a lot of leverage saying you can move to a completely different platform. The cloud is not so much a pay as you go model for this use case, it's more about trying to lock-in long term cost savings. International companies are interested in price, but also what features are available in different regions and when they become available.

Don't miss all that the Internet has to say on Scalability, click below and become eventually consistent with all scalability knowledge (which means this post has many more items to read so please keep on reading)...

Click to read more ...

Wednesday
Apr202016

How Twitter Handles 3,000 Images Per Second

Today Twitter is creating and persisting 3,000 (200 GB) images per second. Even better, in 2015 Twitter was able to save $6 million due to improved media storage policies.

It was not always so. Twitter in 2012 was primarily text based. A Hogwarts without all the cool moving pictures hanging on the wall. It’s now 2016 and Twitter has moved into to a media rich future. Twitter has made the transition through the development of a new Media Platform capable of supporting photos with previews, multi-photos, gifs, vines, and inline video.

Henna Kermani, a Software Development Engineer at Twitter, tells the story of the Media Platform in an interesting talk she gave at Mobile @Scale London: 3,000 images per second. The talk focuses primarily on the image pipeline, but she says most of the details also apply to the other forms of media as well.

Some of the most interesting lessons from the talk:

  • Doing the simplest thing that can possibly work can really screw you. The simple method of uploading a tweet with an image as an all or nothing operation was a form of lock-in. It didn’t scale well, especially on poor networks, which made it difficult for Twitter to add new features.

  • Decouple. By decoupling media upload from tweeting Twitter was able independently optimize each pathway and gain a lot of operational flexibility. 

  • Move handles not blobs. Don’t move big chunks of data through your system. It eats bandwidth and causes performance problems for every service that has to touch the data. Instead, store the data and refer to it with a handle.

  • Moving to segmented resumable uploads resulted in big decreases in media upload failure rates.

  • Experiment and research. Twitter found through research that a 20 day TTL (time to live) on image variants (thumbnails, small, large, etc) was a sweet spot, a good balance between storage and computation. Images had a low probability of being accessed after 20 days so they could be deleted, which saves nearly 4TB of data storage per day, almost halves the number of compute servers needed, and saves millions of dollars a year.

  • On demand. Old image variants could be deleted because they could be recreated on the fly rather than precomputed. Performing services on demand increases flexibility, it lets you be lot smarter about how tasks are performed, and gives a central point of control.

  • Progressive JPEG is a real winner as a standard image format. It has great frontend and backend support and performs very well on slower networks.

Lots of good things happened on Twitter’s journey to a media rich future, let’s learn how they did it...

The Old Way - Twitter in 2012

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Monday
Apr182016

Hadoop and Salesforce Integration: the Ultimate Successful Database Merger  

How we can transfer salesforce data to hadoop? It is big challenge to everyday users. What are different features of data transfer tools.

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Friday
Apr152016

Stuff The Internet Says On Scalability For April 15th, 2016

Hey, it's HighScalability time:


What happens when Beyoncé meets eCommerce? Ring the alarm.

 

If you like this sort of Stuff then please consider offering your support on Patreon.
  • $14 billion: one day of purchases on Alibaba; 47 megawatts: Microsoft's new data center space for its MegaCloud; 50%: do not speak English on Facebook; 70-80%: of all Intel servers shipped will be deployed in large scale datacenters by 2025; 1024 TB: of storage for 3D imagery currently in Google Earth; $7: WeChat average revenue per user; 1 trillion: new trees; 

  • Quotable Quotes:
    • @PicardTips: Picard management tip: Know your audience. Display strength to Klingons, logic to Vulcans, and opportunity to Ferengi.
    • Mark Burgess: Microservices cannot be a panacea. What we see clearly from cities is that they can be semantically valuable, but they can be economically expensive, scaling with superlinear cost. 
    • ethanpil: I'm crying. Remember when messaging was built on open platforms and standards like XMPP and IRC? The golden year(s?) when Google Talk worked with AIM and anyone could choose whatever client they preferred?
    • @acmurthy: @raghurwi from @Microsoft talking about scaling Hadoop YARN to 100K+ clusters. Yes, 100,000 
    • @ryanbigg: Took a Rails view rendering time from ~300ms to 50ms. Rewrote it in Elixir: it’s now 6-7ms. #MyElixirStatus
    • Dmitriy Samovskiy: In the past, our [Operations] primary purpose in life was to build and babysit production. Today operations teams focus on scale.
    • @Agandrau: Sir Tim Berners-Lee thinks that if we can predict what the internet will look like in 20 years, than we are not creative enough. #www2016
    • @EconBizFin: Apple and Tesla are today’s most talked-about companies, and the most vertically integrated
    • Kevin Fishner: Nomad was able to schedule one million containers across 5,000 hosts in Google Cloud in under five minutes.
    • David Rosenthal: The Web we have is a huge success disaster. Whatever replaces it will be at least as big a success disaster. Lets not have the causes of the disaster be things we knew about all along.
    • Kurt Marko: The days of homogeneous server farms with racks and racks of largely identical systems are over.
    • Jonathan Eisen: This is humbling, we know virtually nothing right now about the biology of most of the tree of life.
    • @adrianco: Google has a global network IP model (more convenient), AWS regional (more resilient). Choices...
    • @jason_kint: Stupid scary stats in this. Ad tech responsible for 70% of server calls and 50% of your mobile data plan.
    • apy: I found myself agreeing with many of Pike’s statements but then not understanding how he wound up at Go. 
    • @TomBirtwhistle: The head of Apple Music claims YouTube accounts for 40% of music consumption yet only 4% of online industry revenue 
    • @0x604: Immutable Laws of Software: Anyone slower than you is over-engineering, anyone faster is introducing technical debt
    • surrealvortex: I'm currently using flame graphs at work. If your application hasn't been profiled recently, you'll usually get lots of improvement for very little effort. Some 15 minutes of work improved CPU usage of my team's biggest fleet by ~40%. Considering we scaled up to 1500 c3.4xlarge hosts at peak in NA alone on that fleet, those 15 minutes kinda made my month :)
    • @cleverdevil: Did you know that Virtual Machines spin up in the opposite direction in the southern hemisphere? Little known fact.
    • ksec: Yes, and I think Intel is not certain to win, just much more likely. The Power9 is here is targeting 2H 2017 release. Which is actually up against Intel Skylake/Kabylake Xeon Purley Platform in similar timeframe.
    • @jon_moore: Platforms make promises; constraints are the contracts that allow platforms to do their jobs. #oreillysacon
    • @CBILIEN: Scaling data platforms:compute and storage have to be scaled independently #HS16Dublin

  • A morning reverie. Chopped for programmers. Call it Crashed. You have three rounds with four competitors. Each round is an hour. The competitors must create a certain kind of program, say a game, or a productivity tool, anything really, using a basket of three selected technologies, say Google Cloud, wit.ai, and Twilio. Plus the programmer can choose to use any other technologies from the pantry that is the Internet. The program can take any form the programmer chooses. It could be a web app, iOS or Android app, an Alexa skill, a Slack bot, anything, it's up to the creativity of the programmer. The program is judged by an esteemed panel based on creativity, quality, and how well the basket technologies are highlighted. When a programmer loses a round they have been Crashed. The winner becomes the Crashed Champion. Sound fun?

  • Jeff Dean when talking about deep learning at Google makes it clear a big part of their secret sauce is being able to train neural nets at scale using their bespoke distributed infrastructure. Now Google has released Tensor Flow with distributed computing support. It's not clear if this is the same infrastructure Google uses internally, but it seems to work: using the distributed trainer, we trained the Inception network to 78% accuracy in less than 65 hours using 100 GPUs. Also, the tensorflow playground is a cool way to visualize what's going on inside.

  • Christopher Meiklejohn with an interesting history of the Remote Procedure Call. It started way back in 1974: RFC 674, “Procedure Call Protocol Documents, Version 2”. RFC 674 attempts to define a general way to share resources across all 70 nodes of the Internet

Don't miss all that the Internet has to say on Scalability, click below and become eventually consistent with all scalability knowledge (which means this post has many more items to read so please keep on reading)...

Click to read more ...

Wednesday
Apr132016

10 Stack Benchmarking DOs and DON'Ts

An interesting question came up on the mechanical-sympathy list about how to best benchmark a stack of different queue (aeron/argona, jctools, dpdk, pony) and transport (aeron, dpdk, seastar) options.

Who better to answer than Gil Tene, Vice President of Technology and CTO, Co-Founder, of Azul Systems? Here's his usual insightful and helpful response:

If you are looking at the set of "stacks" (all of which are queues/transports), I would strongly encourage you to avoid repeating the mistakes of testing methodologies that focus entirely on max achievable throughput and then report some (usually bogus) latency stats at those max throughout modes.

The tech empower numbers are a classic example of this in play, and while they do provide some basis for comparing a small aspect of behavior (what I call the "how fast can this thing drive off a cliff" comparison, or "peddle to the metal" testing), those results are not very useful for comparing load carrying capacities for anything that actually needs to maintain some form of responsiveness SLA or latency spectrum requirements.

Rules of thumb I'd start with (some simple DOs and DON'Ts):

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Tuesday
Apr122016

Sponsored Post: TechSummit, Netflix, Aerospike, TrueSight Pulse, Redis Labs, InMemory.Net, VividCortex, MemSQL, Scalyr, AiScaler, AppDynamics, ManageEngine, Site24x7

Who's Hiring?

  • Software Engineer (DevOps). You are one of those rare engineers who loves to tinker with distributed systems at high scale. You know how to build these from scratch, and how to take a system that has reached a scalability limit and break through that barrier to new heights. You are a hands on doer, a code doctor, who loves to get something done the right way. You love designing clean APIs, data models, code structures and system architectures, but retain the humility to learn from others who see things differently. Apply to AppDynamics

  • Software Engineer (C++). You will be responsible for building everything from proof-of-concepts and usability prototypes to deployment- quality code. You should have at least 1+ years of experience developing C++ libraries and APIs, and be comfortable with daily code submissions, delivering projects in short time frames, multi-tasking, handling interrupts, and collaborating with team members. Apply to AppDynamics

Fun and Informative Events

  • Discover the secrets of scalability in IT. The cream of the Amsterdam and Berlin tech scene are coming together during TechSummit, hosted by LeaseWeb for a great day of tech talk. Find out how to build systems that will cope with constant change and create agile, successful businesses. Speakers from SoundCloud, Fugue, Google, Docker and other leading tech companies will share tips, techniques and the latest trends in a day of interactive presentations. But hurry. Tickets are limited and going fast! No wonder, since they are only €25 including lunch and beer.

  • In today’s enterprise, new applications are being invented in droves. To cultivate this momentum, organizations must provide a fast, reliable environment that enables scalability, empowers innovation and reduces complexity. In a webinar on April 26 entitled “Contain Yourself: Development Just Got Easier”, veteran analyst Dr. Robin Bloor will discuss using containers for application and services development. He’ll be briefed by Alvin Richards of Aerospike (the flash-optimized, high-performance NoSQL database) who will showcase how Docker can simplify building and deploying multi-node Aerospike applications. Sign up here to reserve your seat!

Cool Products and Services

  • TrueSight Pulse is SaaS IT performance monitoring with one-second resolution, visualization and alerting. Monitor on-prem, cloud, VMs and containers with custom dashboards and alert on any metric. Start your free trial with no code or credit card.

  • Turn chaotic logs and metrics into actionable data. Scalyr is a tool your entire team will love. Get visibility into your production issues without juggling multiple tools and tabs. Loved and used by teams at Codecademy, ReturnPath, and InsideSales. Learn more today or see why Scalyr is a great alternative to Splunk.

  • InMemory.Net provides a Dot Net native in memory database for analysing large amounts of data. It runs natively on .Net, and provides a native .Net, COM & ODBC apis for integration. It also has an easy to use language for importing data, and supports standard SQL for querying data. http://InMemory.Net

  • VividCortex measures your database servers’ work (queries), not just global counters. If you’re not monitoring query performance at a deep level, you’re missing opportunities to boost availability, turbocharge performance, ship better code faster, and ultimately delight more customers. VividCortex is a next-generation SaaS platform that helps you find and eliminate database performance problems at scale.

  • MemSQL provides a distributed in-memory database for high value data. It's designed to handle extreme data ingest and store the data for real-time, streaming and historical analysis using SQL. MemSQL also cost effectively supports both application and ad-hoc queries concurrently across all data. Start a free 30 day trial here: http://www.memsql.com/

  • aiScaler, aiProtect, aiMobile Application Delivery Controller with integrated Dynamic Site Acceleration, Denial of Service Protection and Mobile Content Management. Also available on Amazon Web Services. Free instant trial, 2 hours of FREE deployment support, no sign-up required. http://aiscaler.com

  • ManageEngine Applications Manager : Monitor physical, virtual and Cloud Applications.

  • www.site24x7.com : Monitor End User Experience from a global monitoring network.

If any of these items interest you there's a full description of each sponsor below...

Click to read more ...