You may protect your datacenters against disaster by mirroring your production data, but do you also protect your infrastructure against overload by natural workload growth or slowly developing imbalances?
The availability of your applications is much more likely to be threatened by slowly developing problems inside the infrastructure than by sudden disasters.
What is Availability Intelligence?
IT infrastructures have become increasingly complex. They are full of hidden potential bottlenecks. Instead of trying to manage the infrastructure as a ‘black box’, Availability Intelligence is about interpreting infrastructure measurement data using context-specific embedded expert knowledge.
This embedded expert knowledge detects problems even before they impact production, together with context-sensitive information leading to the root cause. The software also identifies optimization potential. This automated intelligence elevates your deep experts as well as your newer IT staff to unprecedented productivity levels.
Leverage More Than Hunderd Years of Expert Knowledge
To accurately conclude whether certain parts of the infrastructure are threatened, you need deep knowledge about the architecture of storage systems and infrastructures, and about normal workload behavior. IntelliMagic has more than hundred year of expertise embedded in its software in order to go far beyond straight-forward performance reporting.
If you use IntelliMagic solutions to get early warnings about risks that could develop into serious availability issues, your time can be spent on strategic infrastructure management instead of on fighting fires.
z/OS Application Performance Insights - Recapping SHARE St. Louis
A look back at SHARE St. Louis with links to all of the presentations and sessions we hosted.
Smarter IT Operations Analytics (ITOA)
A two-page overview outlining what IntelliMagic can do for your company.
Is Machine Learning an Oxymoron?
With all the hype surrounding Machine Learning, it is natural to expect it to provide amazing insights across the complex field of IT Operations. But is Machine Learning always the right approach?