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Table 2.8
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Understanding cloud computing classifications
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A portion of the RESTful Windows Azure API (continued ) Service Description Deletes the specified deployment. This is an asynchronous operation.
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DELETE https://management.core.windows.net/<subscription-id>/services/ hostedservices/ <service-name>/deploymentslots/<deployment-slot> DELETE https://management.core.windows.net/<subscription-id>/services/ hostedservices/ <service-name>/deployments/<deployment-name>
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Google App Engine: Platform as a Service
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App Engine is a pure PaaS cloud targeted exclusively at traditional web applications, enforcing an application structure of clean separation between a stateless computation tier and a stateful storage tier. The virtualization and the elasticity that are so visible in the IaaS model are almost completely invisible here. But they re a big part of the picture behind the scenes. One of the selling propositions of this model is its automatic elasticity in the face of capacity requirement changes. The App Engine programming languages are Python and Java. App Engine isn t suitable for general-purpose computing. It works best for web applications and relies on the assumption of a request-reply structure, which assumes long periods of no CPU utilization (such as, human think time). Consequently, Google can and does severely ration CPU time for each request. App Engine s automatic scaling and high-availability mechanisms, and the proprietary MegaStore data storage (built on BigTable) available to App Engine applications, all rely on these constraints. But if your application fits within those constraints, there is probably no faster and cheaper way to build an application that scales automatically and runs on the largest cloud on the planet.
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APP ENGINE DEVELOPMENT ENVIRONMENT
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The App Engine development environment consists of these elements:
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Sandbox Applications run in a secure environment that provides limited access to the underlying operating system. These limitations allow App Engine to distribute web requests for the application across multiple servers and to start and stop servers to meet traffic demands. The sandbox isolates your application in its own secure, reliable environment independent of the hardware, operating system, and physical location of the web server.
Understanding the different classifications of clouds
Java runtime environment You can develop applications for the Java 6 runtime environment using common Java web development tools and API standards. An app interacts with the environment using the Java Servlet standard and can use common web application technologies, such as JavaServer Pages (JSPs). Apps access most App Engine services using Java standard APIs. The environment includes the Java SE Runtime Environment (JRE) 6 platform and libraries. The restrictions of the sandbox environment are implemented in the JVM. An app can use any JVM bytecode or library feature, as long as it doesn t exceed the sandbox restrictions. Python runtime environment You can develop applications using the Python 2.5 programming language and run it on a Python interpreter. App Engine includes APIs and tools for Python web application development, including a data-modeling API, a web application framework, and tools for managing and accessing the App s data. The Python environment includes the Python standard library within the limitations of the sandbox environment. Application code written for the Python environment must be written exclusively in Python. The Python environment provides APIs for the datastore, Google Accounts, URL fetch, and email services. Datastore App Engine provides a distributed data-storage service that features a query engine and transactions. This distributed datastore scales with the application s needs automatically. As we discussed previously regarding cloud databases, the App Engine datastore isn t like a traditional relational database. Data objects, or entities, have a kind and a set of properties. Queries can retrieve entities of a given kind filtered and sorted by the values of the properties. Property values can be of any of the supported property value types. Datastore entities are schemaless. The application code enforces and provides the structure of data entities. The Java JDO/JPA interfaces and the Python datastore interface include features for applying and enforcing this structure.
App Engine is free under these daily thresholds: 6.5 hours of CPU time, and 1 GB of data transferred in and out of the application. Beyond this, outgoing bandwidth costs $0.12 per GB, incoming bandwidth costs $0.10 per GB, CPU time is $0.10 per hour, stored data is $0.15 per GB per month, and recipients emailed are $0.0001 per recipient.
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