Ask HN: What are some preventive fault tolerance tools

I'm looking for tools that integrate well with AWS Cloudwatch, Datadog and other telemetry logging systems and can predict errors in the infrastructure before they even happen. Possibly even integrate with Github to get PR data and asses if a deployment might have a high chance of failure. Basically create a time-series like representation of all actions in the infrastructure(Infrastructure As A Code). This means treat every action(Code change, Permission change, deployment, error log) as a first- class object and arrange them in a time series fashion. This will help feed the context to a ChatGPT model to predict what might happen.

Do you see the value in this? Or am I crazy? Because when something breaks down, all the teams can have a high level overview of what is happening in the system. The problem with existing logging tools like DataDog is that they have deep understanding of each metrics, but fail to assign severity level to error logs or present a birds eye picture of the whole infra.

Disclaimer: We are a VC backed company who wants to pivot in this direction. Your input would be very helpful.