In IT, failure is not only an option, it's inevitable
"In an era when businesses depend on big data, high-performance data analytics (HPDA), machine learning and AI applications running in the cloud, failures can have serious consequences.
Failure per se is not the problem. Downtime - i.e., minimizing downtime - is the problem. There are ways to prevent failures, both isolated and widespread, from causing unacceptable periods of downtime. In fact, there are so many high availability (HA) and disaster recovery (DR) options available that the challenge is making the optimal choice for each application..."