APIs are stable, until they aren’t. We talk about that often at Bearer. If you control the APIs, it gets easier, but with third-party APIs and integrations it can be more difficult to predict when an outage or incident is about to happen.

Machine learning (ML) used to be a tool limited to specialized developers and dedicated teams. Now, thanks to many web service providers and approachable tooling, your applications can use pre-build learning models and machine learning techniques the same way you would use any web service API. This is a quick way to test out and benefit from machine learning without having to invest in artificial intelligence, building your own learning models, or shaping your application around ML.

This guide explains how to get started with any Google API, such as Google Maps, Google Calendar, Youtube, or Google Sheets. Google's APIs can allow your application to integrate with Google services on the web or in a native application. There are three types of credentials for Google APIs.

The concept of instrumentation often refers to tracing where events happen in an application. Many application performance monitoring (APM) tools use it to provide metrics on the inner workings of your application. But sometimes, all you really need are details about API calls.