Download Theme Black Wood by Sevimlibrad for Nokia 5800 and X6

Black Wood by Sevimlibrad is a very nice theme for Symbian S60v5 touch screen phones from Nokia. As the name suggests, the theme has wood graphics. The light black color wood graphics looks awesome. This is the perfect theme to try on your mobile.

The theme comes with a set of decent looking round corner shaped custom icons. These icons make this theme look really beautiful. The performance of this theme is good. The theme is fully transparent and works really well. You can install this theme on Nokia 5800 XpressMusic, N97, N97 Mini, X6, 5228, 5230, 5233, 5235 and 5530 XpressMusic. Download this theme now.


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Download Theme Belle Green Leaves by KCostas for Nokia 5800 N97 and X6

Belle Green Leaves is a high quality Symbian theme for Symbian S60v5 based mobile phones from Nokia. The theme offers high quality background graphics. The homescreen shows the fresh green leaves and all other screens are plain black in color.

Belle Green Leaves theme by KCostas is perfect if you are looking for a decent and professionally designed theme for your phones. This theme offers very nice custom icons similar to Anna/Belle icons which you have already seen in some other themes as well.

Belle Green Leaves theme by KCostas works with Nokia 5800 XpressMusic, N97, N97 Mini, X6, 5228, 5230, 5233, 5235 and 5530 XpressMusic. You can get this theme from the following download link. Enjoy this lovely theme on your phones.



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Download Theme Bouquet by Soumya for Nokia 5800 and X6

Bouquet by Soumya is a Symbian theme with very fresh, colorful and unique graphics. This is one of the best Symbian theme to have on your mobiles. There is great work done on this theme. Light brown color graphics with beautiful flowers on homescreen, what more you would expect from a good theme.

Bouquet by Soumya theme comes with very unique tilted custom icons. These 3D like icons are bright in color and very designer. Overall this theme works like a charm. The theme works with Nokia X6, N97, N97 Mini, 5800 XpressMusic, 5530 XpressMusic, 5228, 5230 and 5235. Get this cool theme now.


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Mobile voucher sales terminal in Africa powered by App Engine

Today’s guest blogger is Dale Humby, CTO of Nomanini.  Nomanini is a startup based in South Africa which provides a platform to sell prepaid products such as airtime, electricity and insurance electronically.  In this post, Dale explains how the backend systems of their flagship device, Lula, run on App Engine.


Introduction


In rural markets, it is often difficult to distribute physical vouchers, which can be used to provide access to services such as electricity, insurance, and airtime for mobile phones.  Nomanini enables entrepreneurs in Africa to earn income selling prepaid vouchers in their local communities.  We do this by distributing a portable, user-friendly voucher sales terminal, known as the Lula, which can be used on-the-go by people ranging from taxi drivers to street vendors.

The Lula, Nomaninis portable voucher sales terminal

Running Lula on App Engine

Nomanini uses Google App Engine to support the backend system for our network of point of sale terminals.

Terminals in the field connect to our App Engine application through the GSM mobile network.  The terminals synchronize when a connection becomes available, allowing sales to be processed even when devices are offline.

The devices make an https post to a URL endpoint. Any data uploaded by the device is queued for processing as multiple tasks, and the App Engine application sends information back to the device within the returned body.  Often the only responsibility a URL endpoint has is to create a task. If work can be broken into discrete areas we fan out to other tasks which run in parallel on separate App Engine instances. By controlling how many concurrent tasks are run in each queue, we are able to prioritize specific parts of our application ensuring the best quality of service for our customers.

By utilizing cross entity group transactions, transactional tasks and appropriate key naems for entities in the Datastore, we have been able to build an extremely resilient application capable of processing data.  

Services we use

• High Replication Datastore, NDB and Memcache


• Extensive use of push Task Queues


• Blobstore for storing file records


• Logs API, Mail API and XMPP for reporting and real-time notification of issues to our development team


• URL Fetch API to link to third-party API’s such as sending SMS’s and integration to mobile networks for airtime voucher purchase


• Google Cloud Storage and Google BigQuery for mining our data for interesting trends

• ProdEagle (another application built on top of Google App Engine) for real time metrics visualization

Benefits of building on App Engine

Saves time
App Engine’s High Replication Datastore gives us the peace of mind that our data will be available and accurate to a degree that we couldn’t easily replicate ourselves. As a start up, capital and time are in short supply. With App Engine, we can focus on building our unique application rather than worrying about infrastructure.  App Engine Task Queues allow parallel data execution and retrying on failure, with little code overhead for developers.

Scalability
Nomanini has very cyclical traffic patterns: our peak traffic occurs in the early morning and late afternoon, with a monthly peak around payday in South Africa. Google App Engine automatically scales our application so that we don’t have to pay for excess server capacity during off-peak times, but have capacity available when we need it.

Ease of operation
Deployment is a breeze on App Engine.  With just a few scripts tied in to our continuous integration server we can:

• write the version number and app name into app.yaml


• deploy automatically


• run data migration scripts


• change the default version once all indexes are serving

Monitoring is simplified by using built in dashboards. We can also export logs to Google Cloud Storage and run ad-hoc queries on analytics using Google BigQuery.

Conclusion

To reduce our time to market we used as many off-the-shelf components as possible, including Google App Engine.

We chose App Engine because it offers a platform with a consistent, well documented, ready-to-use set of services and allows our developers to test within an environment that is identical to our production environment - a practice that used to be prohibitively expensive.

Using the Google App Engine platform has saved our small development team time that we would have had to use to design, build and test a highly reliable backend to support our network of vending terminals in farflung places.  Instead, we can focus our time on building a device that we hope will impact the way local commerce is done in rural economies.



To read more about the story of Nomanini, check out the post about us on the Official Google Blog.  



-Contributed by Dale Humby, CTO, Nomanini

Posted by Zafir Khan, Product Marketing Manager, Google App Engine

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Reducing Google App Engine High Replication Datastore prices by up to 25

Since its inception in 2011, Google App Engine High Replication Datastore (HRD) has grown and currently processes over 4.5 trillion transactions per month with 99.95% uptime. In addition, HRD serves as the basis of Google Cloud Datastore, which we announced last week at Google I/O.



We are always evaluating opportunities to create more value for you and today we are reducing Datastore prices by up to 25%. This price change impacts both App Engine HRD and Cloud Datastore.



Below is a breakdown of the new pricing:



Storage

Resource	Old Unit Cost	New Unit Cost
Stored Data (Datastore)	$0.24 / GB / Month	$0.18 / GB / Month

Operations

Operation	Old Cost	New Cost
Write	$0.10 per 100k operations	$0.09 per 100k operations
Read	$0.07 per 100k operations	$0.06 per 100k operations
Small	$0.01 per 100k operations	unchanged

If you are unfamiliar with Datastore you can learn more about App Engine HRD and Cloud Datastore.



- Posted by Peter Magnusson, Engineering Director

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