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This is a key insight into the different levels of availabilityThe root cause of the problem was a software bug, but hat s not the whole storyThe interesting part is that there was a choice to be made Google engineers had a 30-minute-old copy of all the data for the thousands of AppEngine appsThey could have just switched it on at a different data center However, the choice was essentially made for them because they had a consistency guarantee to uphold Some data would be missing, some would be stale, and in the end, they would have no way to reconcile the divergent updates to stale data With SimpleDB, that same choice has already been made, but the difference is that availability is chosen over consistency It has already been decided, and the mechanism is already in place to synchronize up the stale or temporarily missing data The important thing to realize is that outages inevitably occur, even at Google and Amazon, and this leaves a choice for the developers who use these services If an outage causes the temporary loss of 30 minutes worth of data, is it better for your app to continue running without that data and have it synced up later or is it better for the app to wait out a six-hour outage unavailable to all users, even those unaffected by the data issue SimpleDB is a solution for those applications that would benefit from continuing to offer users access to the system even if the data is stale for a while If all the data in the application belongs to the user for example, in an email application the user is probably going to argue for the ability to keep working even if the data entered between 6:00 am and 6:30 am is absent for a whileWhen the application provides quantifiable business value, the decision can be far easier to makeWhen you weigh the cost of your entire online shopping cart application going down for all users for six hours in the middle of the day, against the cost of serving 30-minute-old stale shopping cart data to only those users who were active between 6:00 am and 6:30 am, there might be a dollar value difference you can compare.

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App Engine is a service offered by Google that lets you run web applications, written in Java or Python, on Google s infrastructureAs an application-hosting platform,App Engine includes many non-database functions, but the App Engine data store has similarities to SimpleDBThe non-database functions include a number of different services, all of which are available via API callsThe APIs include service calls to Memcached, email, XMPP, and URL fetching App Engine includes an API for data storage based on Google Big Table and in some ways is comparable to SimpleDBAlthough Big Table is not directly accessible to App Engine applications, there is support in the data store API for a number of features not available in SimpleDBThese features include data relations, object mapping, transactions, and a user-defined index for each query App Engine also has a number of restrictions, some of which are similar to SimpleDB restrictions, like query run time By default, the App Engine data store is strongly consistent Once a transaction commits, all subsequent reads will reflect the changes in that transaction It also means that if the primary storage node you are using goes down,App Engine will fail any update attempts you make until a suitable replacement takes overTo alleviate this issue, App Engine has recently added support for the same type of eventual consistency that SimpleDB has had all alongThis move in the direction of SimpleDB gives App Engine apps he same ability as SimpleDB apps to run with strong consistency with option to fall back on eventual consistency to continue with a degraded level of service. Barcode Creator In Visual Basic .NET Using Barcode generation for .NET Control to .Related: Generate Barcode .NET SDK, Barcode Generation Excel Library, Create Barcode ASP.NET

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