Automating Intelligence for Predictable IT Operations
Today's IT infrastructure is extremely complex and expensive to analyze and manage. Most IT Operations teams do an admirable job of leveraging their own knowledge as well as the capabilities of their monitoring tools, yet the size of the management task is growing exponentially, even as support expectations become more stringent.Integrien offers a new systems management paradigm that transforms raw metric data from your monitoring infrastructure into actionable intelligence that can help solve problems faster and more efficiently. We call this "automated intelligence," and it's precisely what Alive has been designed to deliver.
Classic Approaches Fall Short
Growing IT infrastructures, increasingly complex applications, virtualization initiatives, service-oriented architecture, and ongoing business change render manual problem solving approaches ineffective. IT Operations is besieged with alerts and has difficulty understanding what leads to problems in their environment.So why can't skilled staff and expensive monitoring tools make IT operations more predictable? Two main reasons:
| 1) | Static threshold based alerting doesn't illuminate problems. Not only does threshold-setting rapidly become a labor-intensive manual practice that requires constant updates, but a threshold may be normal at a certain point in a business's operational cycle and abnormal at another point. Is a given threshold crossover a problem or is it normal behavior for this time of day? Most tools don't know. Static threshold based alerting simply can't take into consideration the ebb and flow of demands on enterprise systems. |
| 2) | Problem solving is reactive and based on "tribal knowledge." Highly skilled IT Operations staff can manually develop rules that correlate a few events and filter out redundant alerts based on "tribal knowledge". However, in today's complex IT environment, correlating millions of metrics from tens of thousands of devices is a humanly unsolvable problem. Additionally, by the time alerts based on manual or rule-based correlation are received, the problem is already happening. There's no way to work proactively to prevent the problems. |
Automated Intelligence Takes the Guesswork Out of IT Management
Automated Intelligence solutions, such as Integrien Alive, drive a completely new approach. To effectively manage the exceedingly complex enterprise IT infrastructure in today's highly driven business environment, what's needed is real-time, automated analysis of IT performance data that delivers actionable intelligence for identifying, resolving, and preventing problems from affecting system users.Here are the key differentiators:
| 1) | Alive defines normal for your system based on the realities of your processing and business cycles. From the hour of the day to seasonal variations, "normal" means different measurements at different times. Alive maps out unique profiles of the enterprise's normal system behavior, then intelligently interprets monitoring data so that only alerts signaling real problems are delivered. Alive can only do this because of its advanced statistical algorithms that can properly parse and interpret the many idiosyncrasies that characterize normal behavior in today's IT infrastructure. |
| 2) | Alive correlates data probabilistically rather than deterministically. Rules of thumb and "tribal knowledge" are valuable tools, but they're vulnerable to loss and difficult to codify. The traditional approach to event correlation uses deterministic, rule-based techniques that ultimately require more manual rule-setting by experts and are therefore not scalable. Alive's probabilistic analysis samples variables over time to learn what their expected behavior is within a pre-specified level of confidence. The resulting probability of problem occurrence can be automated and doesn't require subjective expertise. |
