Imagine that your API response includes data that you would like to track and get regular reports on, and you may even want to generate alerts when values hit certain thresholds. You’re already monitoring for API performance and function, but how about grabbing the other data at the same time. Wouldn’t it be nice to capture the data, evaluate it, and store it in your Uptrends account? You can with Uptrends’ newest Multi-Step API feature, Custom Metrics.

Five worthy reads is a regular column on five noteworthy items we’ve discovered while researching trending and timeless topics. Most companies use some type of “as-a-service” solution to optimize output, and this week, we shed some light on the latest “as-a-service” trend to hit the market, AI-as-a-Service.

We’re proud to announce the availability of the fresh, new “internal API” to our users. This API is only accessible from within a running instance on the platform.

In the first part of this blog series, we presented a use case on how machine learning can help to improve police operations. The use case demonstrates how operational planning can be optimized by means of machine learning techniques using a crime dataset of Chicago. However, this isn’t the only way to predict and prevent crime. Our next example takes us to London to have a look at what NCCGroup’s Paul McDonough and Shashank Raina have worked on.

Our first SIGNL4 release tin 2020 includes some great new features. Have a look. For all those who still need to work with pager devices in addition to their smartphone, it is now possible to include this device in the alarm workflow. This might be the case to secure alert delivery even in areas with poor cell coverage. Legcy pager support is provided through a new app we have added to the SIGNL4 app gallery. This apps sends an email to a paging gateway.

The infrastructure that runs your applications can be nearly as complex as the applications it supports. This complexity generally scales with the resilience of the architecture of your application, the scaling needs, and any security concerns. Thus, successful infrastructure for traditional applications often relies on a comprehensive tooling suite that allows the infrastructure engineers to iterate upon and improve your application’s resources.

Five worthy reads is a regular column on five noteworthy items we’ve discovered while researching trending and timeless topics. This week, we discuss the escalating significance of AI and machine learning in IT security space.

In this guest article John Arundel, consultant and author of Cloud Native DevOps with Kubernetes, introduces the Checkly Terraform provider. He explains what Terraform is and why you'd want to use it, and shows how to use Terraform to automate and manage your website monitoring with Checkly.