There are many ways to tell when your application breaks. But figuring out what caused it to break is slow and tedious as engineers hunt through logs and dashboards, piecing together the details of what happened.
Fortunately, unsupervised machine learning technology can speed-up the process. It works by automatically finding the log events and metrics that describe the root cause, and it uses GPT-3 to provide a plain language summary of the problem.
This webinar will cover:
– How the technology works
– Live demonstration of the Zebrium technology against a Kubernetes demo app
– Case study: How Reserved.ai is using the technology to speed-up incident resolution time