Considered as the cloud’s future, serverless computing is predicted to disrupt how engineers will program and manage applications. In the past 10 years, the cloud has transformed models of consumption for applications and IT, increasing implementation of IaaS (Infrastructure as a Service), PaaS (Platform as a Service), and SaaS (Software as a Service) among startups to global enterprises.
Serverless computing is part of a growing trend known as Function as a Service (FaaS), where a cloud service takes responsibility for starting and stopping a function’s container platform, oversees infrastructure security, decreases maintenance tasks, and increases scalability at lower operational costs.
Letting developers build and run applications and services without the consideration of servers, serverless applications do not require the provisioning, scaling, and managing of servers. Serverless applications can be made for almost every kind of application or backend service. All that is necessary for running and scaling these applications with high availability will be handled by a computing service.
Benefits of Serverless Computing
Cost and Overhead Savings
Global company Coca-Cola is currently benefitting from serverless computing, which triggers code that respond to pre-defined events. Using the AWS Lambda service, the servers required are managed by Amazon Web Services. This eliminates capital expenditure and overhead expenses related to these servers. A top incentive for implementing serverless computing is its PAYG (pay as you go) model. Payment is made only for each runtime of a function. This is in contrast to paying for resources even when they are idle.
A continuing concern of enterprises is the outlay for infrastructure and provisioning of servers as their function-call rates jump considerably. A serverless service such as Microsoft Azure can offer an ideal answer by providing event-based computing that promotes speedier app development. No longer relying on ops for testing, developers can run, test, and deploy code without worrying about traditional workflows.
Part 2 will discuss these topics: Machine Concerns Eliminated, Scaling and Load Balancing Automatic, and Vendors Oversee Capacity.
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