From AWS Lambda and Azure Functions to Knative and OpenFaaS, we have at least a dozen functions-as-a-service platforms to choose from. How to choose a cloud serverless platform.
Running a server farm in the cloud at full capacity 24/7 can be awfully expensive. What if you could turn off most of the capacity when it isn’t needed? Taking this idea to its logical conclusion, what if you could bring up your servers on-demand when they are needed, and only provide enough capacity to handle the load?
Enter serverless computing. Serverless computing is an execution model for the cloud in which a cloud provider dynamically allocates—and then charges the user for—only the compute resources and storage needed to execute a particular piece of code.
In other words, serverless computing is on-demand, pay-as-you-go, back-end computing. When a request comes in to a serverless endpoint, the back end either reuses an existing “hot” endpoint that already contains the correct code, or allocates and customizes a resource from a pool, or instantiates and customizes a new endpoint. The infrastructure will typically run as many instances as needed to handle the incoming requests, and release any idle instances after a cooling-off period.
“Serverless” is of course a misnomer. The model does use servers, although the user doesn’t have to manage them. The container or other resource that runs the serverless code is typically running in a cloud, but may also run at an edge point of presence.
Function as a service (FaaS) describes many serverless architectures. In FaaS, the user writes the code for a function, and the infrastructure takes care of providing the runtime environment, loading and running the code, and controlling the runtime lifecycle. A FaaS module can integrate with webhooks, HTTP requests, streams, storage buckets, databases, and other building blocks to create a serverless application.
Businesses need to understand serverless application with major pros and cons of serverless architecture, before deciding about serverless computing.
Bypass the complex middleware and consider a lightweight node.js implementation to deploy serverless functions from your mainframe CICS applications.
Happy Serverless September 2020! We at Coding Sans love working with serverless technology. This is why we decided to publish a report with the latest serverless trends this year. We partnered up with nine other companies who share our love to make it happen.
In this post, I will go through the process of predicting key performance characteristics and the cost of scale-per-request serverless platforms (like AWS Lambda, IBM Cloud Functions, Azure Functions, and Google Cloud Functions) with different workload intensities (in terms of requests per second) using a performance model.
Serverless computing promises greater scalability, faster development, more efficient deployment, and lower cost.