Unfortunately, software and hardware are often designed in “silos”. Many of the system availability problems are due to their interface. Site reliability (SRE) begins with an integrated view of the system and how it can become unavailable and depends on understanding of small issues that lead to cascading failures.
They are teaching concepts that are decades old
These aren't much better than just trending the failures in a spreadsheet
The software engineers aren't going to respect your models if you don't consider Agile
Not only are these methods used very late in testing but they require extensive effort to use
Why learn from them you can learn from the expert
In our class learn about state of the art predictive models built from decades of benchmarking defects
Easily integrate your predictions with the Agile program increments
Just answer some questions about your software and how it's developed. Our approach to error budgets and site reliability is really simple. Look for the small things that can lead to significant issues with system availability.
Complies with the IEEE 1633 Recommended Practices for Software Reliability
Mission-ready software has been available for over 4 decades, encompassing modeling software and hardware design.
Predict the error budgets, software failure rate, site reliability, availability early
A single software reboot may result in negligible downtime. However, if it occurs repeatedly or on every system, it can escalate into a massive site reliability issue. This training class addresses the little things that lead to big downtime.