Discover how Amplify Computing, a global leader in IT hardware and software, tackled the challenges of API sprawl across multiple platforms like Amazon, Azure, and Google. As their success led to rapid growth and a surge in API development, they needed a robust, automated solution to manage, secure, and provide access to their expanding API portfolio—especially with the rise of AI and deep learning initiatives. Explore their journey and how they achieved efficient API management through self-service and automation.
Let’s take the scenario of a company that we are working with and talk about how we helped them. The name of the company is Amplify Computing. It’s a large global IT hardware and software company. They produce a lot of microprocessor chips and build software related to that as well.
We visited them at their headquarters because they wanted us to help with their API journey. During the discussion, they mentioned how fast they are growing, and their current successes have led to a lot of new development centers and an exploding number of APIs. They are using different platforms like Amazon, Azure, and Google, which has caused an API sprawl.
One of the things they mentioned is the challenge of having APIs all over the place. They are finding it hard to manage them, and they can’t understand if they are secure or how they are being used.
Of course, we asked them why this problem, which has been around for a while, suddenly became urgent. They mentioned they have a new initiative to build AI and deep learning APIs. There are various internal and external teams requesting access to these APIs. They need an automated way to handle all of this with self-service.
So, let’s dig deeper into all the challenges they mentioned as we talk to the people directly involved with implementing the initiative.
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