Why use serverless? Breakdown of the advantages of serverless over traditional server-centric infrastructure. Overview of the common use cases of serverless.
Serverless computing has numerous advantages over classical server-centric infrastructure. Developers are usually able to release products faster, benefit from inherent scaling and reduce infrastructure costs. Serverless also requires less know-how of infrastructure management and is easier to get started with.
Benefits of serverless are associated with on-demand functionality, pay-as-you-go pricing model and faster time to market.
With serverless, developers spend less time provisioning, scaling and managing infrastructure, freeing up time to develop value-added business logic. On top of that, function code is often easier and faster to write since it’s concise and should be designed to do only one thing at a time.
Serverless infrastructures scale up and down based on demand for specific functions of the system. For developers, this means less problems and a smoother experience when a product or an application suddenly becomes very popular. Usually cloud-providers set limits for maximum concurrency to protect developers from runaway costs but those limits can be changed and revoked on request.
Developers are only charged by the amount of compute and resources they end up using. In case the system is idle, no cost is associated. In addition, AWS provides a generous free tier of 1M Lambda function requests per month, not to mention other services.
Serverless ecosystem features building blocks for common functionalities like databases (DynamoDB, Aurora), file storage (S3), API (API Gateway) and user management (AWS Cognito), among others. This simplifies getting off the ground at first and also increases the stability of system because those services are built and maintained at the highest quality.
Serverless can be used for a wide variety of use cases, including batch processing, stream processing, web applications, mobile applications, IoT (internet of things), and ETL (extract-transform-load).
One of the most common use cases for serverless tends to be building backend APIs that service web and mobile applications. Serverless APIs are generally easy to build and manage and work well in fluctuating load scenarios.
The event-driven nature of serverless is well suited for data processing. Lambda functions can be assigned to consume events from data streams or set as workers to process tasks in bulk. Another great example why pay-per-use billing model is attractive, although at high loads, compute can be more expensive with serverless.
Devices that connect to internet to read or write data are an excellent use case for serverless. Services like Alexa and home appliances like iRobot are well-known serverless users. Serverless is also seeing a lot of adoption in home automation and other custom-built solutions.
Lambda is also well suited for automating cloud tasks like backing up databases, changing condigurations periodically and for taking care of periodical jobs that don’t require a server constantly running.
Although above we listed the most common use cases and the strongest advantages of serverless computing, many other use cases and benefits exist. Theoretically anything is possible to build on serverless.
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