Just a few years ago, the IT industry thought their data center problems were solved with the arrival of virtualization and cloud computing. Today as they grapple with a never-ending sprawl of virtual servers, virtual switches and storage along with their legacy network and infrastructure, things don’t look as simple anymore. Trying to determine which virtual or physical component is impacting a critical service using antiquated tools has become an extremely complex problem.
Things looked easy starting out. Each vendor had its own monitoring system for its product. One for VMware, another for AWS, yet another for storage, one for the database and some open-source filler for the rest of the infrastructure . . . just 4–6 different consoles to look at, throw some more people to manage all of this and let’s toss any cloud savings out the window!
Antiquated monitoring products for the data center present some obvious challenges. Even after using an MoM to consolidate all consoles, the cloud data center manager needs a way to address his problems of noise and dynamic provisioning.
Gartner and Forrester list automation and data analytics as key requirements in any current monitoring product. Industry leading vendors such as Zyrion have added automation and data analytics in their enterprise monitoring software. The response has been overwhelmingly positive from their clients, some who are monitoring tens of thousands of servers and routers using Zyrion. It’s only a matter of time before data analytics and automation become essential tools for all cloud data centers.