Cloud computing has been used for many years now, but one of the main drawbacks of using cloud computing is the need to purchase or rent server space that ends up going to waste. Many cloud computing solutions require developers to spend money on a specific amount of server space even if the entire space does not end up getting used. Serverless computing is a solution to this problem since serverless computing only requires developers to pay for a server as data is used.

If you’ve been using cloud computing for development and deployment but have found your expenses getting out of hand, below are three reasons why it may make sense to switch to serverless computing:

1. Less Concern About Server Management

Server management is one of the most time-consuming tasks involved in cloud computing. Because cloud computing requires that developers use dedicated server space, the developer often needs to manage the server.

Although serverless computing technically still uses servers, the service provider handles the management of the space and hardware. This allows developers to focus on their work instead of worrying about managing server tasks.

2. Serverless Computing is Easily Scalable

Another major benefit of using serverless computing is that these solutions are scalable. As your needs grow, a serverless computing service provider can offer more space and data transfer as needed. This reduces the potential for over-purchasing in an attempt to be prepared for data spikes or DDoS attacks. If you need the best AWS lambda disaster recovery platform, visit this website.

Speaking of DDoS attacks, the use of solutions like an AWS Lambda disaster recovery platform can also protect your data in the event of loss or a breach. Although an AWS Lambda disaster recovery platform can only be used with Amazon Web Services’ Lambda serverless computing services, there are other disaster recovery solutions available for other major service providers.

3. Serverless Computing Reduces Latency

Cloud computing has already done a good job of reducing latency by spreading server-side actions across data centers, but serverless computing has the potential to further reduce latency for the end user. Because data management in serverless computing does not rely on a single server, end users can have data routed to them faster and more efficiently.

Author Resource:-

Emily Clarke writes about tech, online education, programming lessons and more. You can find her thoughts at recovery solution blog.