Skip to content

Serverless Computing

Serverless Computing

Serverless Computing: An Introduction

Serverless computing is a cloud computing execution model in which the cloud provider dynamically manages the allocation of the machine resources. This allows developers to focus on their core products instead of worrying about managing operating systems or configurations. With serverless computing, developers can make use of single services (like S3 for storage or Auth0 for identity management) and elastic computer platforms (like AWS Lambda or Microsoft Azure) to execute code.

Benefits of Serverless Computing

Serverless computing offers a number of benefits to developers. It relieves the burden of managing servers, allowing developers to focus on their core product instead. Furthermore, it eliminates the need to worry about patching web servers, as the serverless system can grow, scale, and evolve without the developer’s effort. Finally, serverless computing can help developers save time and energy by eliminating the need to manage operating systems or configurations.

Conclusion

Serverless computing is an invaluable tool for developers looking to save time and energy on managing servers, operating systems, and configurations. By taking advantage of single services and elastic computer platforms, developers can focus on their core product instead of worrying about managing the infrastructure. In this way, serverless computing can help developers save time, energy, and money.

Advantages of Serverless Applications

  1. Reduced Maintenance: Serverless applications do not require the regular maintenance of any servers, nor do they require any software or platform to install. This reduces the overall cost and time associated with maintaining applications.
  2. Flexible Scaling: Serverless applications are able to be scaled automatically by adjusting the capacity of the configurations required to run the application, such as memory or processor requirements.
  3. Built-In Availability and Fault Tolerance: Serverless applications have built-in availability and fault tolerance, removing the need to architect these capabilities.
  4. Cost-Efficient: Serverless computing is more cost-efficient than purchasing servers with the required configurations. Bin-packing of the underlying resources of machine can make it more cost-efficient than provisioning an autoscaling group. Additionally, there is no charge when your code is not running.

Some famous platforms for serverless computing:

  1. AWS Lambda
  2. Microsoft Azure Functions
  3. Google Cloud Functions
  4. IBM Cloud Functions
  5. OpenWhisk
  6. Auth0 WebTask
  7. Iron.io
  8. Kubeless
  9. Oracle Cloud Functions
  10. Serverless Framework

Leave a Reply

Your email address will not be published. Required fields are marked *