Today’s infrastructure situation is increasingly becoming virtualized everything (servers, storage, desktops, networks) and the growing importance of cloud computing has given way to the term Software Defined Data Center (SDDC). The SDDC has its own challenges. Challenges like whether or not to include legacy or non-virtual resources, interoperability of multiple vendors’ converged infrastructure systems, and the management of SDDC remains a mystery.
Management is often misinterpreted as monitoring. Monitoring is nice, but managing the SDDC requires the ability to make informed decisions based on the monitoring that may or may not already be in place. In fact, SDDC management places a premium on new management models - real-time data collection, embedded analytics, and the ability to span multiple data sources intelligently. Analytics will have different goals - efficiency, cost, root cause analysis. The goals will include workload-centric optimization, global cost and energy efficiency, global availability and risk management - all of these are very tough for traditional management vendors.
You hear a variety of excuses explanations why IT doesn’t analyze business data…
So, what is the desired state of managing SDDC? I described continuous optimization in another post as optimizing the financial impact of the SDDC. Always know when and where performance problems will affect the bottom line. Identify cost and performance inefficiencies in support of business processes and eliminate them. Continuously optimize the customer experience. Understand when, where, and why customer experiences fail so you can resolve, predict, and PREVENT poor customers experiences.
How do you get to the desired state of managing SDDC? Stay tuned. I'll answer these questions in another blog post next week.