Showing posts with label Video. Show all posts
Showing posts with label Video. Show all posts

Monday, 30 May 2011

Stuff to Watch from Surge 2010

Stuff to Watch from Surge 2010: "


Surge is a conference put on by OmniTI targeting practical Scalability matters. OmniTI specializes in helping people solve their scalability problems, as is only natural, as it was founded by Theo Schlossnagle, author of the canonical Scalable Internet Architectures.


Now that Surge 2011 is on the horizon, they've generously made available nearly all the videos from the Surge 2010 conference. A pattern hopefully every conference will follow (only don't wait a year please). We lose a lot of collective wisdom from events not being available online in a timely manner.

In truth, nearly all the talks are on topic and are worth watching, but here are a few that seem especially relevant:

  • Going 0 to 60: Scaling LinkedIn by Ruslan Belkin, Sr. Director of Engineering, LinkedIn.
    • Have you ever wondered what architectures the site like LinkedIn may have used and what insights teams have learned while growing the system from serving just a handful to close to a hundred million of users?
  • Scaling and Loadbalancing Wikia Across The World by Artur Bergman, VP of Engineering and Operations, Wikia.
    • Wikia hosts around a 100 000 wikis using the open source Mediawiki software. In this talk I'll take a tour through the process of taking a legacy source code and turning it into a globally distributed system.
  • Design for Scale - Patterns, Anti-Patterns, Successes and Failures by Christopher Brown, VP of Engineering, Opscode.
    • This isn't your "Gang of Four". Christopher will discuss his experiences building Amazon's EC2 and the Opscode Platform, and the experiences of others designing large-scale online services.
  • Quantifying Scalability FTW by Neil Gunther, Founder/Principal Consultant, Performance Dynamics.
    • Successful scalability requires transforming your data to quantify the cost-benefit of any architectural decisions. In other words: information = measurement + method.
  • Database Scalability Patterns by Robert Treat Lead Database Architect, OmniTI.
    • In Database Scalability Patterns we will attempt to distill all of the information/hype/discussions around scaling databases, and break down the common patterns we've seen dealing with scaling databases.
  • From disaster to stability: scaling challenges of my.opera.com by Cosimo Streppone, Lead Developer, Opera Software.
    • This talk tells the story of these last 3 years. Our successes, our failures, and what remains to be done.
  • Embracing Concurrency at Scale by Justin Sheehy CTO, Basho Technologies.
    • Justin will focus on methods for designing and building robust fundamentally-concurrent distributed systems. We will look at practices that are "common knowledge" but too often forgotten, at old lessons that the software industry at large has somehow missed, and at some general "good practices" and rules that must be thrown away when moving into a distributed and concurrent world.
  • Scalable Design Patterns by Theo Schlossnagle, Principal/CEO, OmniTI.
    • In this talk, we'll take a whirlwind tour though different patterns for scalable architecture design and focus on evaluating if each is the right tool for the job. Topics include load balancing, networking, caching, operations management, code deployment, storage, service decoupling and data management (the RDBMS vs. noSQL argument).
  • Why Some Architects Almost Never Shard Their Applications by Baron Schwartz, VP of Consulting, Percona.
    • "Shard early, shard often" is common advice -- and it's often wrong. In reality, many systems don't have to be sharded.
  • Scaling myYearbook.com - Lessons Learned From Rapid Growth by Gavin M. Roy, Chief Technology Officer, MyYearbook.
    • In this talk Gavin will review the growing pains and methodologies used to handle the consistent growth and demand while affording the rapid development cycles required by the product development team.

Friday, 26 November 2010

Scalability | Harvard Computer Science Lecture

Scalability | Harvard Computer Science Lecture: "


Watch it on Academic Earth

LECTURE DESCRIPTION

Professor David J. Malan discusses scalability as it pertains to building dynamic websites.

COURSE DESCRIPTION

Today's websites are increasingly dynamic. Pages are no longer static HTML files but instead generated by scripts and database calls. User interfaces are more seamless, with technologies like Ajax replacing traditional page reloads. This course teaches students how to build dynamic websites with Ajax and with Linux, Apache, MySQL, and PHP (LAMP), one of today's most popular frameworks. Students learn how to set up domain names with DNS, how to structure pages with XHTML and CSS, how to program in JavaScript and PHP, how to configure Apacheand MySQL, how to design and query databases with SQL, how to use Ajax with both XML andJSON, and how to build mashups. The course explores issues of security, scalability, and cross-browser support and also discusses enterprise-level deployments of websites, including third-party hosting, virtualization, colocation in data centers, firewalling, and load-balancing.

Tuesday, 16 November 2010

Videos from Hadoop World

Videos from Hadoop World: "
There was one NoSQL conference that I’ve missed and I was really pissed off: Hadoop World. Even if I’ve followed and curated the Twitter feed, resulting in Hadoop World in tweets, the feeling of not being there made me really sad. But now, thanks to Cloudera I’ll be able to watch most of the presentations. Many of them have already been published and the complete list can be found ☞ here.

Based on the twitter activity on that day, I’ve selected below the ones that seemed to have generated most buzz. The list contains names like Facebook, Twitter, eBay, Yahoo!, StumbleUpon, comScore, Mozilla, AOL. And there are quite a few more …




HBase in production at Facebook


Presented by Jonathan Gray (Facebook)



HBase in Production at Facebook, Jonathan Gray, Facebook


The Hadoop Ecosystem at Twitter


Presented by Kevin Weil (Twitter)



The Hadoop Ecosystem at Twitter, Kevin Weil, Twitter




Hadoop at eBay


Presented by Anil Madan (eBay)



Hadoop at eBay, Anil Madan, eBay





A Fireside Chat: Using Hadoop to Tackle Big Data at comScore


Presented by Martin Hall (Karmasphere) and Will Duckworth (comScore)




A Fireside Chat: Using Hadoop to Tackle Big Data at comScore, Martin Hall, Karmasphere and Will Duckworth, comScore




ScaleIn Collecting and Querying Log Data in Near Real-time


Presented by Anurag Phadke (Firefox)



ScaleIn Collecting and Querying Log Data in Near Real-time, Anurag Phadke, Firefox





AOL’s Data Layer


Presented by Ian Holsman (AOL)



AOL’s Data Layer, Ian Holsman, AOL





Hadoop Based Intelligent Text Information Processing System


Presented by Vaijanath Rao (AOL) and Rohini Uppuluri (AOL)



Intelligent Text Information Processing System, Vaijanath Rao and Rohini Uppuluri, AOL





Mixing Real-Time Needs and Batch Processing: How StumbleUpon Built an Advertising Platform using HBase and Hadoop


Presented by Jean-Daniel Cryans (StumbleUpon)



Mixing Real-Time Needs and Batch Processing: How StumbleUpon Built an Advertising Platform using HBase and Hadoop, Jean-Daniel C





Hadoop at Yahoo! Ready for Business


Presented by Arun C. Murthy (Yahoo!)



Hadoop at Yahoo! Ready for Business, Arun C. Murthy, Yahoo!




Apache ZooKeeper at Yahoo!


Presented by Mahadev Konar (Yahoo!)



Apache ZooKeeper at Yahoo!, Mahadev Konar, Yahoo






And having in mind names like Bank of America, Orbitz, CME, Infochimps, sematext, I bet you can find ☞ many more. So, I guess now we have videos for at least a few days.


Thanks Cloudera!


Original title and link: Videos from Hadoop World (NoSQL databases © myNoSQL)

"

Tuesday, 9 November 2010

Presentation:Machine Learning: A Love Story

Presentation:Machine Learning: A Love Story: "Hilary Mason presents the history of machine learning covering some of the most significant developments taking place over the last two decades, especially the fundamental math and algorithmic tools employed. She also exemplifies how machine learning is used by bit.ly to discover various statistical information about users. By Hilary Mason"