![]() ![]() You can build applications out of them, to a limited extent, with AWS Step Functions, which implement a state machine. You can install any number of functions in a single operation, but each one has its own environment variables. In Lambda, each function is a separate unit. But there are differences in the elaboration of the concept. Calling them by HTTP is the most common scenario. The developer creates and deploys functions. The basic FaaS concept is the same for both services. AWS Lambda & Azure Functions: Design Differences The one for Azure Functions is called the Consumption plan. ![]() For this article, we’re comparing the serverless offerings. A VM is dedicated to your functions, and you pay to keep it. It’s possible to pay for Azure Functions under an Azure App Service plan, but that approach is more like a PaaS model. Functions don’t maintain any persistent storage or state by themselves. In both cases, storage is a separate service, which you have to pay for. The first 400,000 GB seconds are free, a million requests cost $0.20, and GB seconds are a shade more expensive at $0.00001667. With Lambda, prices are so close that they’re obviously watching each other. There’s no charge while the code is lying idle between executions. The first million executions and first 400,000 GB seconds are free. With Azure, you pay $0.20 per million executions, plus $0.000016 per GB second. In both cases, the cost is based on two factors: the number of function invocations and the number of gigabyte seconds used. The pricing models for both services are similar, and there’s very little difference in how much you pay. Lambda is ahead in market share and has an edge in maturity and stability, though Azure Functions isn’t far behind. Lambda was launched in 2014, Azure Functions in 2016. If your development team has a strong commitment to one operating system or the other, that could make a difference. The operating system environment affects many aspects of deployment, configuration, and debugging. Perhaps this shouldn’t matter in a serverless environment, but you’ll normally want to call other services from your functions, and the available choices reflect the underlying software. Lambda, like most AWS services, runs on Linux. The most basic difference is the underlying operating systems. Still, there are significant differences between them, which could influence which one is better for your needs. They have similar pricing models and support many of the same languages. They’re both FaaS (functions as a service) or “serverless” services. Amazon’s AWS Lambda and Microsoft’s Azure Functions are very similar in many ways. ![]()
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