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A Brain for Your IT Operations

Grok can detect anomalous behavior from your cloud applications and act on your behalf, saving you time and money.

Well prepared and vigilant IT ops teams are well aware of Murphy’s Law: Anything that can go wrong, will go wrong.

Every service within a cloud system is prone to failure, and IT ops teams are the superheroes called to respond to issues with an application. Ideally, they are able to:

  1. Accurately identify if activity is indiciative of a known issue. This is like finding a needle in a haystack, with complex systems yielding many false positives that result in wasted time.
  2. Fix the problem. Most issues require only a few simple steps to get a service back up and running, but sometimes people can make mistakes which lead to new problems.
  3. Prevent future issues that lead to the same problem. There are many patterns that can lead to similar issues, which means there is potential for preventing future occurances without need for human intervention.

Grok uses artificial intelligence and automation to empower IT ops teams to help them predict issues with their cloud and respond to these issues before they lead to application failure. Our platform leverages the most accurate and powerful anomaly detection algorithm to detect issues within streaming analytics data. Most cloud services have an API which provides this data, and Grok will be able to learn from this information within a few minutes. If Grok finds an anomaly within a service, it can trigger an automation based on scripts that a business can use to trigger a series of steps to help solve the issue. Grok will then continue to monitor the service, establishing a new normal for that data stream.

Here’s an analogy…

A heart is like a cloud service for an entire system: a person. The heart provides one salient stream of information that can be used to diagnose its health — a pulse. If a doctor finds a pulse that is abnormal, they usually go on to run other tests to determine if there is an issue in the body. Not every abnormal pulse leads to an issue: a person only needs to go on a run to experience an abnormal and elevated heart rate. If this same person is a frequent runner, their resting heart rate is different than one who is more sedentary. They may also exercise regularly, so their heart may run abnormally for a particular time but it is normal for when considering their daily schedule. In other words, different people have different patterns of normal behavior, and an abnormal behavior in one person is not as abnormal for someone else.

A cloud system provides many data streams which have their own baseline for what is normal behavior, so a traditional threshold monitoring system can falsely alert an operations team because an abnormal data stream may be fine when considering the context of outputs that preceeded it. A high spike in traffic might be abnormal for a particular time frame, but it may also be normal depending on the time of day or other activities happening within the system at large. Grok only triggers an alert based on a abnormal pattern of behavior because it learns what is normal for that service. It is like having a personal heart rate monitor that knows your patterns and beahviors just like your doctor! Grok can then diagnose and treat the issue using automation. Wouldn’t it be great if your body fixed itself without ever having to go to the doctor at all?

Get started today!

Grok is available on a subscription basis for AWS cloud deployments, and we also have private cloud offerings available for those interested. Get started free for 14 days and let us know what you think.

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Tarun Gangwani is Head of Product at Grok. He an award-winning product and design professional whose work has been used by millions of people around the world. With his background in cognitive science and design, Tarun has delivered user-centered solutions to startups and enterprise companies within a wide variety of industries that leverage cloud technologies to deliver innovation to their clients. Tarun’s perspectives and work have been featured in major news publications, including the New York Times, CIO.com, Tech.Co and Forbes.

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