InfoQ recently released a video from the APIDays conference that took place in Paris last year. I talked about scaling an Open API based web API using Cloud Endpoints, on the Google Cloud platform.

I spoke about the topic a few times, as web APIs is a topic I enjoy, at Nordic APIs, at APIDays, or Devoxx. But it’s great to see the video online. So let me share the slide deck along with the video:

The JAX conference, in Mainz, Germany, is coming to an end. I was there with my colleagues Mete and Robert, and had the chance to cover two topics: Machine Learning and Scaling Web APIs. It’s a pleasure to come back to this conference where the audience is always very focused, eager to learn, and is engaging in great and interesting conversations.

Machine Intelligence at Google Scale

My first presentation was about Machine Learning, and in particular with the Google Cloud APIs, including Vision, Speech, Natural Language, Translate, and Video Intelligence. Although I’m not an expert in TensorFlow and the Cloud Machine Learning Engine, I got a chance to say a few words about these. I guess I’ll have to play with both at some point to be able to tell even more!

Today was announced the general availability of Google Cloud Endpoints!

Endpoints is the Google Cloud Platform solution for Web API management, which lets you easily protect & secure your API, monitor it, without overhead, and even allows you to implement your API with any language or framework you want.

I’ve spoken about Endpoints a few times already, at Devoxx Belgium, Nordic APIs summit, and APIDays Paris. And you can see the recording of my Nordic APIs appearance, if you want to learn more about Cloud Endpoints:

At Devoxx last week, I had the chance to do a joint tools-in-action with my talented friend Audrey Neveu, titled Binge streaming you Web API:

In a fast-paced fashion, to keep you awake after long University sessions, Audrey and Guillaume will set you up to create a Web API using Google Cloud Endpoints, and stream the content of the API in real-time with Streamdata.io. After a quick introduction to both technologies, they’ll build together both the backend and the front-end to interact live with the audience, through the Web or via a mobile app.

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I had the pleasure of presenting at the Nordic APIs Platform Summit 2016 in Stockholm this week. I enjoyed the conference a lot, with great speakers and content, flawless organization, and nice interactions with the audience.

For the last keynote of the conference, I had the chance to present about Google Cloud Endpoints, Google’s take on API management. I worked on a little “pancake”-powered demo, deploying a Ratpack application, in a Docker container, on Google Container Engine. I created an OpenAPI Specification describing my Web API that served pancakes. And used the Extensible Service Proxy to receive the API calls for securing (with an API key), monitoring (through the Cloud Console) and scaling my Web API (thanks to the scaling capabilities of Container Engine). This demo will be the topic of some upcoming blog posts.