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The CircleCI API provides a gateway for developers to retrieve detailed information about their pipelines, projects, and workflows, including which users are triggering the pipelines. This gives developers great control over their CI/CD process by supplying endpoints that can be called to fetch information and trigger processes remotely from the user’s applications or automation systems.
With build-or-buy decisions, it often comes down to an all-in-one platform or a mixture of best-of-breed technologies. With open-source technology companies can actually get the best of everything. So, why not roll your own platform based on top-notch technologies? The real question is whether enterprises can afford to. Open-source software is free to use, but teams have to invest quite a bit in selecting, introducing, using, and maintaining these technologies.
AI is everywhere. Except in many enterprises. Going from a prototype to production is perilous when it comes to machine learning: most initiatives fail, and for the few models that are ever deployed, it takes many months to do so. While AI has the potential to transform and boost businesses, the reality for many companies is that machine learning only ever drips red ink on the balance sheet.
With the increase in open-source software tools, developers have become more powerful. Open Source refers to an openly distributed code which allows users to inspect, modify and enhance it. It includes a license that allows users to utilize the source code and you can also modify and share under defined terms and conditions.
In this How-To, we’re going to look at a specific Catchpoint synthetic monitor that helps you analyze the health of systems built around the Internet of things (IoT). Now, IoT is obviously a huge category, so in this case, we’re going to look at systems that utilize the Message Queuing Telemetry Transport or MQTT for short.