NOV. 8 – 13, 2020


The Synthetic Monitoring Maturity Model

A Case Study

Let our Maturity Model guide your teams along the path where the final station is a product that can self-heal.

Some teams remain hesitant when automating tests for their production environment. However, the story that an application tells on its lower environments can be very different from that of production. How can we bring these different narratives closer? Can we write a richer, more fulfilling story? One that satisfies coders and analysts and stakeholders alike?

Here, we will dive into Synthetic Monitoring, a series of techniques that empowers teams to no longer fear automating tests in production. A set of tools that help them mark their own trail while searching for nirvana: an application that – while in its production environment – knows that it’s hurting, can inform why it’s hurting, and can perform triage on itself.

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