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How You Can Drive Reliability with Observability

by   in IT Operations Cloud

Every IT team demands reliability, partly because the end-user demands it. However, reliability comes at a cost. Reliability depends on how critical a system or application is to your revenue. The more reliability you want, the more it will cost you.

No application will have 100% uptime. You can’t have a perfect reality of 100% reliability all the time, you need tools to reduce downtime when the inevitable problem comes up. Let’s say you were just informed of a problem and as soon as you open your monitoring tool, you see hundreds of log entries that could all contain the problem. Observability’s job is to surface the log entries that you should focus on. Observability does this by using AI so you can get to the root cause faster while reducing service desk costs.

For example, you can have a cluster on a physical system, but more systems mean more tracking. You need to know when something goes wrong, and you have questions like – is it hardware or software? If it is a software bug, everything running that software will have a problem. The more you can use observability to figure out where the problem is AND the business impact of that problem is the better reliability you can attain because you’ll know what needs immediate attention and how to prioritize. A lesser priority item is a server in a cluster that goes down, and the rest of the cluster will pick it up, this will have less priority as opposed to say a software bug that impacts every system.

AIOps tools give you observability to reduce mean time to resolution (MTTR) which is the driver for reliability.

But how does that translate to everyday events?

Hundreds of events can come into your IT estate every day, if not more. AI-enabled Automatic Event Correlation (AEC) uses machine learning-based event correlation to reduce event noise and allows operators to avoid the creation of rules by utilizing learning patterns within the data itself. With the AEC Explained UI, you can decode the AEC magic and get behind-the-scenes insights into why/how events are correlated. This is helpful because it provides you with a proactive way to reduce your MTTR, thus increasing reliability.

“Leveraging the AEC Explained UI we can easily see, and drill down into, the topology partitions the CI belongs to so that we can understand the detail related to it and get to the root cause of any issue much faster. Our team really likes this functionality.” – Paulo Vale, IT Manager for Service Management, NOS

With observability driven by AIOps you can go from not knowing the unknowns to fixing fast which builds your IT estate’s reliability.

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