2022 Trends: Serverless Computing

‘The server is dead’ – while Cloud computing has been experiencing a period of unprecedented growth, we see several factors responsible for this, including the rise of mobile computing, increased maturity of cloud offerings, improved network performance, and more.  

With its pay-as-you-go model being a significant factor, enterprise IT has increased adoption of the cloud where a customer pays for resources leased from the cloud provider only and could get as many resources as needed without the up-front cost. Unfortunately, the onus of scaling was left behind for developers and system designers, who usually used overprovisioning techniques to process sudden spikes in service requests.

"Welcome to serverless computing"

Serverless computing is a platform that hides server utilization from developers and executes code on-demand automatically scaled and billed only if the code is running.  

Serverless computing is a relatively new technology, and it can turn your enterprise into a vibrant, flexible, service-oriented working model of the future. One of the efficient ways to ensure that diverse resources are available at scale is through migrating the IT environment to the cloud. Serverless computing enables your enterprise to expand into the cloud with serverless architecture all over the public and private cloud environments.  

Benefits of Serverless Computing

Expenses:  

The most tangible benefit is cost. Contrary to traditional cloud models, serverless computing enables companies to only pay for whatever they need when they need it. Consequently, there are almost no unnecessary resources, as blocks of servers are never sitting idle waiting for utilization.  

Configuration:  

Cost reduction goes beyond the original setup and scaling. The configuration will be significantly more straightforward and streamlined as the host firm handles the greater part. This facilitates scaling up the extra resources without customary downtime for your configuration.  

Speed:  

Because the customer company does not need to manage the server, deploying the services and applications is a lot easier and faster. For the most part, the development team could focus on creating their application or service and then deploying it without worrying about the backend server.

Comparing Serverless Computing with other Backend Models

Backend-as-a-Service and Platform-as-a-Service are a few of the technologies we frequently fused with serverless computing. Even if they share the parallels, such models don’t necessarily comply with the requirements of serverless.  

Backend-as-a-service (BaaS):  

This is an environment where the developers will have to focus only on writing front-end code. This is a service pattern in which cloud service providers offer backend services like data storage. But at the same time, as the serverless applications have been event-propelled and run at the edge, BaaS applications may not comply with any of these demands.  

Platform-as-a-service (PaaS):  

This is a model in which the developers hire all the tools needed to develop and deploy applications from a cloud provider, including operating systems and middleware. But they are not as easily scalable as serverless applications.  

Infrastructure-as-a-service (IaaS):  

It’s been a comprehensive expression for cloud suppliers about hosting infrastructure on behalf of their customers. Of course, IaaS providers can offer serverless functionalities, but the terms are not a byword.  

How CloudThat Enables Organizations to adopt Serverless Computing?

We at CloudThat, provide not only precise solutions but also intelligent solutions to set up essential cloud infrastructure in the client environment. When an organization requires its infrastructure to be set up in very little time or if we have many such clients approaching, we like to offer serverless computing.   

Depending upon the organization’s cloud service provider, we use the following function: 

• AWS – We use the AWS Lambda. It is a serverless computing service that lets you run code without needing to provision or manage your servers, develop workload-aware cluster scaling logic, manage event integrations up to date, or administer runtimes.  
• Azure – We use Azure Functions. It is a serverless computing platform that enables you to write lesser code, administer fewer resources, and save money.  
• GCP – For GCP we use Google Cloud Functions. It is a serverless platform for the development and connecting of cloud services.  

Conclusion

Like many things in the whole world of technology, serverless computing has its own pros and cons. If used properly and from the right demographic, this option might provide a potent, inexpensive way to profit from cloud computing.  

Other firms, like those with very personalized needs, heightened safety requirements, or enormous scale, would be better to invest in conventional cloud choices.