How has the recent turmoil within the OpenAI offices changed your plans to use GPT in a business process or product in 2024?
Increased uncertainty means we are more likely to evaluate alternative AI chatbots and LLMs.
No change in plans, though we will keep an eye on the situation.
With Sam Altman back in charge, we are more likely to go all-in with GPT and LLMs.
What recent turmoil?
API Management / CI/CD / DevOps / Serverless / Software Development

Watch SmartBear Tame AWS Lambda with SwaggerHub

Jul 22nd, 2016 9:08am by
Featued image for: Watch SmartBear Tame AWS Lambda with SwaggerHub

Whilst software developers continue to mull the use of serverless computing, the technology continues to evolve. As the dust has settled, there now exists more education and opportunity for enterprises and startups alike to embrace serverless technology in their stack. With the aim to help ease the learning curve to working with serverless technologies such as AWS Lambda, software provider SmartBear Software recently introduced an integration platform to its popular API framework, Swagger, dubbed SwaggerHub.

In this episode of The New Stack Makers embedded below, we offer a short explanation of how SwaggerHub integrates with AWS Lambda, recorded from Gluecon 2016, with Smart Bear Software vice president of products for Swagger Tony Tam. We also have a few in-depth video demonstrations of SwaggerHub’s capabilities and how SwaggerHub could work with AWS Lambda.

SwaggerHub Has Embraced Serverless Computing and Thinks You Should, Too

“What we did with Lambda was make a bridge so that when you save a definition in SwaggerHub it can push up to the Amazon API gateway and will configure every one of the routes to point to an existing Lamba function, or it will create one for you. When it does this, it will comment the code and say, ‘Here are the variables you can expect,’” said Tam.

Tam explained that what SwaggerHub had done was rework the concept of API lifecycle management into serverless computing, so a developer’s tasks could then be completed in a single step. For those that have worked with AWS Lambda to map an API definition might have found the task to be tedious. SwaggerHub aimed to eliminate many of these pain points, converting Swagger definitions to be compatible with Amazon, wiring and tooling one’s API, and even creating new Lambda functions if they do not exist.

“That’s what engineers, good engineers, in my opinion, do best is solve problems. Good engineers don’t like to sit around and click buttons to wire things up. It also eliminates human error somewhat. When you’re clicking around in some UI, no matter how good it is, all day, you’re going to mess something up,” noted Tam.

Serverless computing presents a new way of working for many developers, Tam explained. “There’s going to be some learning curve here for people not from using the integration, but from wrapping their heads around, ‘What does it mean when I don’t need to do all these things I normally needed to do, and how do I work in this environment called Lamba? It’s very isolated. It’s not a server that’s running all the time. It does promote a better program design typically, so it’s going to take time for a lot of people to get used to that.”

Feature image via Pixabay.

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