New-age Transactional Systems - Not Your Grandpa's OLTP
John Hugg discusses high volume transaction processing applications with high and low frequency profiles, and how VoltDB can be used for that purpose.
The content has been bookmarked!
There was an error bookmarking this content! Please retry.
Posted by Charlie Martin on Feb 02, 2009
Cloud computing on distributed, commodity platforms — like Google App Engine and Amazon EC2 — is perhaps the most exciting new trend in Web 2.0 application development. Instead of requiring a dedicated high-reliability server farm, with all the associated costs and complexity, a commercial cloud platform allows applications to be built and hosted on an as-needed basis.
As exciting as the cloud "back end" architecture has become, the availability of powerful, low-cost hand held mobile platforms have brought as much excitement to the "front end" — hand-held devices like the iPhone and Android put services at hand that were unimaginable just a few years ago.
A new article at DeveloperWorks, "Connecting Apple's iPhone to Google's cloud computing offerings" by Noah Gift and Jonathan Saggau, demonstrates the capabilities of both plaforms in combination. By using the iPhone's native plist structure (an Apple-specific XML format), the authors construct an application in Python, hosted on AppEngine, that delivers one of Shakespeare's sonnet to the iPhone on request. The example code includes AppEngine Python code, the iPhone Objective-C client, and an example of how the data is transmitted via HTTP using the XML plist.
Modeling Your Cloud Services Brokerage
Complimentary Gartner (Hype Cycle for Cloud Security) Report
Getting Started with Stratos - an Open Source Cloud Platform
Improve Java Garbage Collection, Runtime Execution, and JVM visibility with Zing
Free Web Proxy based on Google App Engine
www.bestwebproxy.net
John Hugg discusses high volume transaction processing applications with high and low frequency profiles, and how VoltDB can be used for that purpose.
Kevlin Henney examines code samples to see what can be learned from them starting from the premise that one won’t write great code unless he knows how to read it.
Jason Ayers share the observations he made watching a team of developers collaborating in real time on the same code base, pushing XP, pair programming and continuous integration to their extremes.
Michael Snoyman presents Yesod, a web framework written in Haskell and containing a web server, templating, ORM, libraries (templating, gravatar, etc.).
Richard Kreuter and Kyle Banker on how to avoid classical RDBMS transactional systems by using compensation mechanisms, transactional messaging or transactional procedures.
Attila Szegedi talks about performance tuning Java and Scala programs at Twitter: how to approach GC problems, the importance of asynchronous I/O, when to use MySQL/Cassandra/Redis, and much more.
One category of risk that project teams need to ensure they address is business value failure – delivering a product that fails to provide value for the business investor.
InfoQ spoke to the authors of Software Systems Architecture on a couple of new topics, the System Context viewpoint and Agile, which have been added to the second edition.
1 comment
Watch Thread Reply