Serverless Computing of an Organization Using Google Cloud Platform
Using Serverless Computing the developers can focus on code integration and optimization. Moreover, they do not deal with the servers which in turn will result in enhanced productivity. This will ultimately help in building the organization in a better way in a fast-paced environment.
Serverless computing is an execution of a cloud model in which the server runs and dynamically manages the allocation of machine resources at run time.
In Application development, Serverless Computing plays an important role, which allows the developers to focus on coding rather than interfering with infrastructure. Serverless computing offers zero server management, with auto-scaling.
The Advantages of Serverless Computing
No Server Management: There is no need for provisioning or maintaining any servers and also there is no need for software or runtime to install, maintain or administer.
Flexible Scaling: Application can be scaled automatically or by adjusting its capacity through the units of consumption.
Pay for Value: Pay only for execution duration rather than by the server unit.
Automated High Availability: Serverless provides built-in availability and fault tolerance. Applications built with a serverless infrastructure will scale up automatically as the usage increases.
Developers are Only Charged for the Server Space: In this model, while developing the code, it runs when backend functions are needed by a serverless application and the code automatically scales upon demand. So provisioning is dynamic in nature and in real-time.
Quick Deployments and Updates are Available: In this architecture, there is no need to upload any code to servers or do any backend configuration.
Use Cases of Serverless Computing
Rapid Prototyping: This model provides rapid prototyping and combining multiple APIs and services for quick development of small scale applications which can be revoked using API or by parameters.
Web Applications: Serverless computing is good for web applications running in the platform of Node.js, Python, PHP, Java and Go. Here the developers use the library functions for faster deployment.
Event Streaming: Serverless computing can be triggered from event logs which are elastic, scalable event pipelines that can be used without the maintenance of complicated clusters.
Multi-Language Applications: In this model, there is a huge range of applications that can run on front end applications making it platform-independent.
Synchronous Operations: In an event-driven situation synchronization plays a major role in receiving the request and responses, which helps in to trigger the auto API Calls to generate responses using a gateway.
The below diagram will show how event-driven requests are generated
