Skip to main content

Google App Engine vs Microsoft Azure

Side Stepping on my OSGi trail, I saw a few articles on the new Azure platform for Cloud computing from Microsoft! People claiming it to be up agains Amazon EC2 and Google App Engine.



Come on.. Having never used it, I cant speak for EC2 but; App Engine and Azure? Where is the comparision.

By Choosing Azure, I am basically TIED to Windows all the way! Just look at the long list of Auzure SDK Requirements:

  • Supported Operating Systems: Windows Server 2008 Enterprise; Windows Server 2008 Standard; Windows Vista Business; Windows Vista Business 64-bit edition; Windows Vista Home Premium; Windows Vista Home Premium 64-bit edition; Windows Vista Ultimate; Windows Vista Ultimate 64-bit edition
  •  Required Software
    •  Windows Vista SP1 (when installing on Windows Vista)
    •  .NET Framework 3.5 SP1
    •  IIS 7.0 (with ASP.NET and WCF HTTP Activation)
    •  Microsoft SQL Server Express 2005 or Microsoft SQL Server Express 2008
    •  Windows PowerShell (optional)

On the other hand, App engine can live on Windoze, Linux or Mac. Other requirements: Python - available in any OS. THATS it. They even have plans to get Java, Perl and other languages to be supported. The only thing we get tied to is Google BigTable DataStore.

It looks like the age old race with httpd for IIS. Déjà vu.
Labels:

Popular posts from this blog

Powered By

As it goes, We ought to give thanks to people who power us. This page will be updated, like the version page , to show all the tools, and people this site is Powered By! Ubuntu GIMP Firebug Blogger Google [AppEngine, Ajax and other Apis] AddtoAny Project Fondue jQuery
Read More >>

Decorator for Memcache Get/Set in python

I have suggested some time back that you could modularize and stitch together fragments of js and css to spit out in one HTTP connection. That makes the page load faster. I also indicated that there ways to tune them by adding cache-control headers. On the server-side however, you could have a memcache layer on the stitching operation. This saves a lot of Resources (CPU) on your server. I will demonstrate this using a python script I use currently on my site to generate the combined js and css fragments. So My stitching method is like this @memize(region="jscss") def joinAndPut(files, ext): res = files.split("/") o = StringIO.StringIO() for f in res: writeFileTo(o, ext + "/" + f + "." + ext) #writes file out ret = o.getvalue() o.close() return ret; The method joinAndPut is * decorated * by memize. What this means is, all calls to joinAndPut are now wrapped (at runtime) with the logic in memize. All you wa...
Read More >>

Faster webpages with fewer CSS and JS

Its easy, have lesser images, css and js files. I will cover reducing number of images in another post. But If you are like me, You always write js and css in a modular fashion. Grouping functions and classes into smaller files (and Following the DRY rule, Strictly!). But what happens is, when you start writing a page to have these css and js files, you are putting them in muliple link rel=style-sheet or script tags. Your server is being hit by (same) number of HTTP Requests for each page call. At this point, its not the size of files but the number server roundtrips on a page that slows your page down. Yslow shows how many server roundtrips happen for css and js. If you have more than one css call and one js call, You are not using your server well. How do you achieve this? By concatinating them and spitting out the content as one stream. So Lets say I have util.js, blog.js and so.js. If I have a blog template that depends on these three, I would call them in three script tags. Wh...
Read More >>