Compare Serverless Products
Estimates based on serverless:talent research team. Source: Product's Website
It can do anything and everything. You're writing code, so the possibilities are infinite. Your Service Worker will intercept all HTTP requests destined for your domain, and can return any valid HTTP response. Your worker can make outgoing HTTP requests to any server on the public internet.
Azure Functions allows developers to take action by connecting to data sources or messaging solutions thus making it easy to process and react to events. Developers can leverage Azure Functions to build HTTP-based API endpoints accessible by a wide range of applications, mobile and IoT devices.
1. Free plan
Azure Functions consumption plan is billed based on per-second resource consumption and executions. Consumption plan pricing includes a monthly free grant of 1 million requests and 4,00,000 GB-s of resource consumption per month per subscription in pay-as-you-go pricing across all function apps in that subscription. Azure Functions Premium plan provides enhanced performance and is billed on a per second basis based on the number of vCPU-s and GB-s your Premium Functions consume.
Cloudflare Workers respond very quickly, typically in under 200 milliseconds, when cold starting. In contrast, both Lambda and [email protected] functions can take over a second to respond from a cold start. The differences are largely due to the fact that Cloudflare Workers run on Chrome V8 rather than Node.
Azure supports multiple functions concurrently provided operations take place simultaneously within a single data partition. The number of concurrent activity and executions is capped at 10X depending upon the number of cores in the VM level. The execution time limit is 600 seconds or 10 minutes.
Azure Functions claims to scale 200 instances for a single Node.js function, it fails to do so in practice. When put to test, it was only able to scale 10 function instances concurrently for a single function.
It took a long time for the Azure instances to launch despite 1.5 GB of memory being allocated to them. Median cold start latency was observed at 3640 ms in Azure.