How is cloud API useful?

There are various cloud computing services, which are not consumed by using visual interfaces and rather make use of non-visual interfaces or API’s. Application Programming Interfaces or API is basically used to construct applications in the cloud computing market and is segmented into infrastructures, application clusters and services. Applications usually combine all these API’s according to their necessities. However, one of its main functions is that it allows software to request computations and data from a single or varied service through a direct or an indirect interface. They usually expose their features through SOAP (Simple Object Access Protocol) or REST (Representational State Transfer). Additionally, there are also cross platform and vendor specific interfaces also available that help in managing a few specific functions.

The advantage of cross platform interface is that it helps in allowing applications access services from different and multiple providers, but at the same time have a few functionality or other limitations in competition with various vendor specific solutions. Some brief information on the areas into which cloud API is segmented:

· Infrastructure – It usually helps in modifying the resources that are available in order to operate different applications. Some other functions include provisioning that involves creating, deleting or moving the components such as virtual machines and configuration in which there is an amendment in the attributes of the architecture such as the network and the security settings.

· Application – The Application APIs offer methods that can be helpful in extend and interface applications. They are also useful as they help in connecting to applications such as ERP, CRM and social media. They are usually delivered as SaaS or software as a service.

Databases in different organizations require a regular maintenance and management, which further helps to maintain their speed and accuracy. However, in order to assure impeccable database management, there are several techniques that are used and implemented by database managers that can ensure that all the data is secure and the software also continues to perform as needed. Some of the techniques include data normalization and database physical size, RAM usage and speed.

Normalization of data means that all the data is entered in a similar manner, which is crucial to the functionality of any of the database. Moreover, databases also tend to grow over time and hence it is quite common for the companies to concentrate more on entering any sort of new data, but at the same time pay appropriate attention to the previous data.