Cloud Computing jika diartikan secara harfiah adalah komputer awan. Dalam Wikipedia diartikan bahwa cloud computing itu adalah gabungan dari pemanfaatan teknologi (komputasi) dan pengembangan berbasis internet (awan). Cloud computing merupakan sebuah metode komputasi dimana kemampuan TI disediakan sebagai layanan berbasis internet.
Daftar disini untuk belajar Cloud Computing:
Dalam waktu dekat Cloud COmputing akan menjadi hal penting dalam pengembangan infrastruktur pengembangan ICT, kamu perlu mempelajarinya dengan mandaftarkan diri secara gratis di pembelajaran ini.
Microsoft juga telah menyediakan berbagai software dan infrastruktur untuk pengembangan Cloud Computing secara gratis. Di bagian akhir kami sertakan kelebihan dari SQL Azzure yang menjadi landasan database di Cloud Computing. Salah satu tempat untuk belajar Cloud Computing.
Key Features
SQL Azure is a key component of the Microsoft data platform offering flexibility and scalability; reliability and security; and developer agility. Let’s begin by looking at some of these features.
Manageability
SQL Azure Database offers the high availability and functionality of an enterprise data center without the administrative overhead that is associated with an on-premise solution. This self-managing capability enables organizations to provision data services for applications throughout the enterprise without adding to the support burden of the central IT department or distracting technology-savvy employees from their core tasks to maintain a departmental database application.
Low-Friction Provisioning
When you use the traditional on-premise data infrastructure, the time that it takes to deploy and secure servers, network components, and software can slow your ability to prototype or roll out new data-driven solutions. However, by using a cloud based solution such as SQL Azure, you can provision your data-storage needs in minutes and respond rapidly to changes in demand. This reduces the initial costs of data services by enabling you to provision only what
you need, secure in the knowledge that you can easily extend your cloud-based data storage if required at a future time.
High Availability
SQL Azure is built on robust and proven Windows Server® and SQL Server technologies, and is flexible enough to cope with any variations in usage and load. The service replicates multiple redundant copies of your data to multiple physical servers to ensure data availability and business continuity. In the case of a disaster, SQL Azure provides automatic failover to ensure maximum availability for your application.
Published service level agreements (SLAs) guarantee a business-ready service. When you move to SQL Azure, you no longer need to back up, store, and protect data yourself.
Scalability
A key advantage of the cloud computing model is the ease with which you can scale your solution. Using SQL Azure, you can create solutions that meet your scalability requirements, whether your application is a small departmental application or the next global Web success story.
Global Scalability
A pay-as-you-grow pricing model allows you to quickly provision new databases as needed or scale down the services without the financial costs associated with unused capacity. With a database scale out strategy your application can utilize the processing power of hundreds of servers and store terabytes of data.
SQL Azure runs in worldwide data centers, so you can reach new markets immediately. If you want to target a specific region, you can deploy your database at the closest data center. You can harness this global scalability to build the next generation of Internet-scale applications that have worldwide reach, but without the infrastructure costs and management overhead.
Multi-Tenant Support
Independent software vendors (ISVs) who develop Software+Services (S+S) offerings must provide adequate isolation for individual customers’ data. ISV’s must be able to charge each customer the right price for the data storage services that they have consumed. SQL Azure provides the flexibility that ISVs need to segregate customer data and implement multi-tenant billing, which enables you to build a global S+S solution quickly and easily.
Developer Empowerment
One of the potential obstacles to building great cloud-based applications is the requirement for developers to learn new tools, programming platforms, and data models. However, SQL Azure is built on top of the TSQL language and is designed to be compatible with SQL Server with a few changes, so developers can use their existing knowledge and skills. This reduces the cost and time that is usually associated with creating a cloud-based application.
Familiar Client Development Model
When developers create on-premise applications that use SQL Server as a data store, they employ client libraries that use the Tabular Data Stream (TDS) protocol to communicate between client and server. There is a large global community of developers who are familiar with SQL Server and have experience of using one of the many client access libraries that are available for SQL Server, such as Microsoft ADO.NET, Open Database Connectivity (ODBC), JDBC and the SQL Server driver for PHP. SQL Azure provides the same TDS interface as SQL Server, so developers can use the same tools and libraries to build client applications for data that is in the cloud.
Proven Relational Data Model
SQL Azure data is stored in a way that is very familiar to developers and administrators who use SQL Server. You can create a SQL Azure Server which is a group of databases that are spread across multiple physical machines. This SQL Azure Server is in some ways conceptually analogous to a SQL Server instance and acts as an authorization boundary just as in SQL Server. You can also set geo-location at this level. Windows® Azure™ and SQL Azure data centers are located worldwide; if your application is relevant to a specific region, you can increase performance by geo-locating it there.
Within each server, you can create multiple databases that have tables, views, stored procedures, indices, and other familiar database objects. This data model ensures that your database developers can use their existing relational database design and Transact-SQL programming skills, and easily migrate existing on-premise database applications to the cloud.
SQL Azure servers and databases are logical concepts that do not correspond to physical servers and databases. This abstraction enables the flexible provisioning that was described earlier in this paper. Administrators and developers can concentrate on data model design because SQL Data Services (SDS) insulates them from the physical implementation and management.
Synchronization and Support for Offline Scenarios
SQL Azure is part of the rich Microsoft data platform which integrates with the Microsoft Sync Framework to support occasionally connected synchronization scenarios. For example, by using SQL Azure and the Sync Framework, on-premise applications and client devices can synchronize with each other via a common data hub in the cloud.
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