Have you been looking for a quick and straightforward guide to writing your first AWS Lambda function? If so, we have got you covered. This article explains everything you need to know to create your first Lambda function, and how to upload and run it in the AWS Cloud.
AWS Lambda in a Nutshell
AWS Lambda is a serverless computing platform that allows engineers to create a small function, configure the function in the AWS console, and have the code executed without the need to provision servers—paying only for the resources used during the execution. As many organizations move towards implementing serverless architectures, AWS Lambda would be the central building block they’ll use. […]
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When cloud computing came into vogue, some viewed it as simply running software in someone else’s data center, or the proliferation of virtualization. But as cloud has matured, it has become clear that cloud computing, public or private, is an industry-changing paradigm shift.
In a similar way, some view serverless computing as nothing more than a meta-definition for cloud computing. But like cloud computing, serverless means so much more.
For example, Platform-as-a-Service (PaaS) offerings are often too prescriptive and confining, and Infrastructure-as-a-Service (IaaS) can be both too generic and too limiting. The true serverless movement is more abstract, promoting computing in the small (think microservices), right-sized APIs, stateless components, and reliable units of processing that are similar to transactions, yet lighter weight and less restrictive.
Whether these components run on one server or 100, on your desk, or in the cloud should be of no concern. What’s important is that serverless computing enables you to focus more closely on solving a problem without spending time building servers, installing an OS, worrying about patches and upgrades, or network, security issues, and so on. […]
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In this article, we’re going to be examining what an API-first design strategy looks like when it comes to developing serverless applications. We’re going to talk about why this approach is essential, what are its benefits, and walk through a simple example of creating a basic OpenAPI spec using SwaggerHub, and deploying it using AWS Lambda.
Start with the End in Mind
As developers and engineers, we like to solve problems. Give us an idea of what needs to be fixed or produced, and we’ll have our IDE open and our fingers tapping out magical code before you finish speaking.
Fast innovation is a good thing. In this case, however, there is a downside: You’ll end up with an API that is “designed” and “documented” as an afterthought and made to fit the code. This approach may require additional work […]
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