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Infrastructure of the Social Highway


Creators of
                 Khan Klatt, VP of Technology, Salad Labs, Inc.
#emmecon
http://i.khan.org/emmecon-khan
Agenda
Adding Value
Technology Then & Now
A Deeper Dive
   Technology
   Process
   People
Parting Thoughts
                   Photo Credit:
                   cafeconlecheporfavor @ Flickr
The good news is that more than ever,
value accrues to those that show up,
    those that make a difference,
  those that do work that matters.
                             -Seth Godin

                                        Photo Credit:
                                        eat more toast@ Flickr
Key Differences between now & 1995
1. You had to do the full stack, or at least huge part of it.
2. Computer hardware was expensive
3. Huge lead times to order, receive, install and deploy.
4. Programming languages, architectures and frameworks were not as mature
   and not as capable.




                                                              Photo Credit:
                                                              jacksnell707 @ Flickr
full stack
Logarithmic Scale!                  Storage vs.
                                      Memory/CPU


Magnitude




                       Time (Years)
full stack revisited

  SaaS = Software as a Service

  PaaS = Platform as a Service

IaaS = Infrastructure as a Service




                                      Photo Credit:
                                      captpiper @ Flickr
expensive revisited


    A Few Thoughts on the Cloud (IaaS)

Benefits:              Detriments:
• Speed                • Less Control
• Cost                 • Costly at large scale
• Flexibility          • Lower Performance
• Scalability
• Elasticity



                                                 Photo Credit:
                                                 paul-vallejo @ Flickr
“I Meant To Do That!”




                        Photo Credit:
                        estherase @ Flickr
If all you’ve got is a hammer…
  Ask yourself:
      What classes of data do you have?
      How consistent does it have to be?
      How available does it have to be?
      How up-to-date does it have to be?
      What’s the breakdown of reads to writes?
      What’s your tolerance for operations and DBA overhead?
      What’s your tolerance for engineering and development overhead?
      How much scalability do you need?

                                                               Photo Credit:
                                                               m2w2 @ Flickr
Scalability & The Art of Engine
                         Maintenance at 20,000 feet




As the size and transaction volume of the database grows linearly,
response times tend to grow logarithmically.
Typically (but not always) linear growth tends to be fairly
flat, meaning logarithmic scale is expensive.




Cost




                            Scale
Consider the Graph…




                      Photo Credit:
                      iconolith @ Flickr
Putting It All Together
                            Web Server
                             (nginex)
Application Cache
                            Web Server
  (memcached)
                             (apache)

                         Application Server
                    (JVM, Ruby on Rails, Symfony)

                                       Batch Processing & Machine Learning
                                         (Hadoop, MapReduce, Mahout)
                           Data Persistence
                        (ACID, BASE, or Graph)

                                                            Photo Credit:
                                                            maynard @ Flickr
Sprint, Don’t Walk, to Agile*
“The chemistry-building manager takes pains to divide the work into pieces and makes sure
that each piece has some substantive demonstration of its own completion.

Such a manager may contrive to deliver a product in twenty versions, even though two are
sufficient for upper management and the user. It may even be necessary to conceal some of
these interim versions from the client, and build them only for internal confirmation and
satisfaction.

Each new version is an opportunity for closure. Team members get warmed up as the moment
approaches, they sprint near the very end. They get a high from success. It suffuses them with
renewed energy for the next step. It makes them feel closer together.”

                      Tom DeMarco & Timothy Lister, PeopleWare, 1987


            * Unless you are literally going to Mars!             Photo Credit:
                                                                  lowercolumbiacollege @ Flickr
VP of Technology at Salad Labs, Inc.
     http://www.saladlabs.com
     http://www.popsalad.com




Personal Contact:
• Twitter: @khanklatt
• Blog: http://www.khan.org            Creators of
• LinkedIn: khanklatt


                                              Photo Credit:
                                              vernhart @ Flickr

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Infrastructure of the social highway Preview

  • 1. Infrastructure of the Social Highway Creators of Khan Klatt, VP of Technology, Salad Labs, Inc.
  • 3. Agenda Adding Value Technology Then & Now A Deeper Dive Technology Process People Parting Thoughts Photo Credit: cafeconlecheporfavor @ Flickr
  • 4. The good news is that more than ever, value accrues to those that show up, those that make a difference, those that do work that matters. -Seth Godin Photo Credit: eat more toast@ Flickr
  • 5. Key Differences between now & 1995 1. You had to do the full stack, or at least huge part of it. 2. Computer hardware was expensive 3. Huge lead times to order, receive, install and deploy. 4. Programming languages, architectures and frameworks were not as mature and not as capable. Photo Credit: jacksnell707 @ Flickr
  • 7. Logarithmic Scale! Storage vs. Memory/CPU Magnitude Time (Years)
  • 8. full stack revisited SaaS = Software as a Service PaaS = Platform as a Service IaaS = Infrastructure as a Service Photo Credit: captpiper @ Flickr
  • 9. expensive revisited A Few Thoughts on the Cloud (IaaS) Benefits: Detriments: • Speed • Less Control • Cost • Costly at large scale • Flexibility • Lower Performance • Scalability • Elasticity Photo Credit: paul-vallejo @ Flickr
  • 10. “I Meant To Do That!” Photo Credit: estherase @ Flickr
  • 11. If all you’ve got is a hammer… Ask yourself: What classes of data do you have? How consistent does it have to be? How available does it have to be? How up-to-date does it have to be? What’s the breakdown of reads to writes? What’s your tolerance for operations and DBA overhead? What’s your tolerance for engineering and development overhead? How much scalability do you need? Photo Credit: m2w2 @ Flickr
  • 12. Scalability & The Art of Engine Maintenance at 20,000 feet As the size and transaction volume of the database grows linearly, response times tend to grow logarithmically.
  • 13. Typically (but not always) linear growth tends to be fairly flat, meaning logarithmic scale is expensive. Cost Scale
  • 14. Consider the Graph… Photo Credit: iconolith @ Flickr
  • 15. Putting It All Together Web Server (nginex) Application Cache Web Server (memcached) (apache) Application Server (JVM, Ruby on Rails, Symfony) Batch Processing & Machine Learning (Hadoop, MapReduce, Mahout) Data Persistence (ACID, BASE, or Graph) Photo Credit: maynard @ Flickr
  • 16. Sprint, Don’t Walk, to Agile* “The chemistry-building manager takes pains to divide the work into pieces and makes sure that each piece has some substantive demonstration of its own completion. Such a manager may contrive to deliver a product in twenty versions, even though two are sufficient for upper management and the user. It may even be necessary to conceal some of these interim versions from the client, and build them only for internal confirmation and satisfaction. Each new version is an opportunity for closure. Team members get warmed up as the moment approaches, they sprint near the very end. They get a high from success. It suffuses them with renewed energy for the next step. It makes them feel closer together.” Tom DeMarco & Timothy Lister, PeopleWare, 1987 * Unless you are literally going to Mars! Photo Credit: lowercolumbiacollege @ Flickr
  • 17. VP of Technology at Salad Labs, Inc. http://www.saladlabs.com http://www.popsalad.com Personal Contact: • Twitter: @khanklatt • Blog: http://www.khan.org Creators of • LinkedIn: khanklatt Photo Credit: vernhart @ Flickr

Editor's Notes

  1. Begin Dabbling with All-Things-Internet in 1993Unix, Linux, gopher, WAIS, telnet, ftp, MUDsFirst Webmaster job in 1994Co-founded an ISP in 1995Co-founded a Web consulting company in 1997Spent 8 years in the trenches at Classmates.comCurrently VP of Technology at Salad Labs (creator of the Pop Salad celebrity stock market game)Please note, if you have, or would like to download a QR reader, I will be sharing a URL at the end of the talk via QR code to the notes of all of the topics and references I make in this talk.
  2. So to provide the greatest value, focus on what matters.
  3. This goes contrary to “what are you, personally, and your organization generally, really good at?”How are you providing the utmost in value if you’re focusing limited resources on the full stack?
  4. + You can be up and running in minutes+Low initial cost of entry (compared to building out your own data center and babysitting your own hardware)+ Spin up/down nodes as you need+Scaling out by adding nodes is easy (No waiting 4 weeks for the hardware to arrive and then spend time racking and installing software)+ Scaling up by adding disk/CPU can be easy (depending on the provider)No control over hosting, network, disk storage (hey, maybe this is a plus?)Over the long term, the big boys (aka Zynga) use public clouds for flash crowds, and use a hybrid/private cloud for cost management of baseline traffic- Shared components means less than optimal performance characteristics
  5. But, for all the benefits of ACID, there are equivalent tradeoffs.Did you make your tradeoffs consciously?To scale traditional ACID databases requires sophisticated database technologies, and these come with a cost.Meanwhile, technologies have emerged over the past few years that rival the maturity and stability of ACID databases.
  6. Some applications are better suited for graph structures.For example, a database storing all the evacuation routes for all major cities for the Federal Government… Key Value Architecture?Column Store Architecture?Document Store Architecture?EXAMPLE:Neo4J, VertexDB: A Graph Database architected around Nodes and Edges (objects and their relations)