![]() Operations on groups of entities can also be performed if a transaction requires it. Every data record is an entity and is identified using a key and a set of properties. The datastore is a key-value storage similar to Amazon SimpleDB and Windows Azure Table Service. The datastore service provides a distributed data storage with a query engine that supports transaction semantics. Using persistent stores in Google App Engine. This section gives a simple overview and key highlights of the platform. The applications can be easily built using Eclipse Integrated Development environment that many developers will be familiar with. The platform provides distributed storage with replication and load balancing of client requests. The applications hosted on Google App Engine can scale both in compute and storage just like other Google products. The platform also supports other languages that use JVM (Java Virtual Machine) runtime such as JRuby, JavaScript (Rhino), and Scala programming languages. NET applications, Google App Engine enables users to develop and host applications written using Java, Python and a new language called Go. Just like Microsoft Azure provides a platform to build and execute. Google App Engine is a PaaS solution that enables users to host their own applications on the same or similar infrastructure as Google Docs, Google Maps and other popular Google services. The security options include single sign-on, administrator-based single sign-out, policy-enforced secure mail transfer, secure browser connections, etc.ĭinkar Sitaram, Geetha Manjunath, in Moving To The Cloud, 2012 Google App Engine Google App also provides several additional security options that can be utilized by a customer's domain administrators. For deleted data, all the pointers to the data are deleted to make sure that the requested item is deleted from all the active servers. For example, Google provides service-to-service authentication based on X.509 certificates issued by Google's internal certificate authority. To provide controls at various levels of data storage, access, and transmission, a multi-layered security strategy is adopted in Google App. ![]() To make the chunks not readable to a human, data chunks are coded and stored with random file names. To avoid a single point of failure, data is always chunked and replications are stored over multiple systems. Data are chunked and replicated over multiple systems, such that no one system is a single point of failure. Structured data are then stored in a large distributed database. Google Apps uses a distributed file system designed to store large amounts of data across large numbers of cloud servers. Rather than segregating each customer's data onto a single machine or set of machines, Google Apps data from all Google customers are distributed amongst a shared infrastructure composed of Google's many homogeneous machines and located across Google's many data centers. Google App Engine is a platform for developing and hosting web applications in Google-managed data centers. Kui Ren, in Handbook on Securing Cyber-Physical Critical Infrastructure, 2012 15.3.3 Google App Engine The languages currently supported are Python, Java, and Go. Once development is complete, developers can easily migrate their application to AppEngine, set quotas to contain the costs generated, and make the application available to the world. Developers can build and test applications on their own machines using the AppEngine software development kit (SDK), which replicates the production runtime environment and helps test and profile applications. These services include in-memory caching, scalable data store, job queues, messaging, and cron tasks. AppEngine provides both a secure execution environment and a collection of services that simplify the development of scalable and high-performance Web applications. These take advantage of the large computing infrastructure of Google to dynamically scale as the demand varies over time. Google AppEngine is a scalable runtime environment mostly devoted to executing Web applications. Thamarai Selvi, in Mastering Cloud Computing, 2013 1.3.3.2 Google AppEngine
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