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Save $$ and Time With Serverless Computing

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Serverless computing offers a powerful way of deploying cloud applications. By using AWS Lambda, Google Functions, or Azure Functions, teams can focus more time writing code and less time on managing infrastructure. Cloud bills are reduced by not paying for unused dedicated server capacity.

Serverless deployment is a form of cloud computing where the cloud provider manages the computing infrastructure and automatically provisions resources as needed, without requiring the user to provision or maintain servers. This allows development teams to focus on writing application code and deploy without worrying about managing details such memory, CPU, and storage.

The process of deploying an application in a Serverless Framework is straightforward and there are great online tutorials and free tiers to get started. As serverless deployments gain popularity, more tools and services are simplifying the process even further. 

There are two main types of serverless deployment models: Backend-as-a-Service (BaaS) and Function-as-a-Service (FaaS):

  • BaaS provides pre-built, managed backend services such as databases, authentication, push notifications, and storage. Examples of BaaS providers include Firebase, AWS Amplify, and Parse.
  • FaaS allows developers to deploy code in the form of small, single-purpose functions that are triggered in response to specified events, such as user requests, a schedule, or changes to data. These functions are automatically scaled and executed based on the relevant events, and you only pay for the computing time they use versus the cost of a full-time running server. Examples of FaaS providers include AWS Lambda, Google Cloud Functions, and Azure Functions.

Serverless computing lets your team to build and run applications with less hassle, cost and long-term maintenance. Key steps are eliminated such as capacity provisioning and patching, eliminating current and future work cycles.

Contact us to learn more about the next steps to save $$ and time with serverless computing.