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Solutions › By industry › AIOps
AIOps

Efficiency so fine, it borders on supernatural.

Cribl helps AIOps gain control and choice while automating monitoring and diagnostic tools.
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Overview

Deploy smarter, not harder, for effective AI

AIOps applies machine learning over large amounts of operational data to automate IT operations, including event correlation, anomaly detection, and causality determination. IT teams are exploring AIOps for several reasons, like reducing alert fatigue, proactively detecting performance problems, and avoiding outages. Many of those teams are searching for an all-in-one AIOps solution that does it all. The challenge these teams face isn’t with the predictive algorithms and models. Instead, their challenges are more practical concerns around collecting, normalizing, and routing data to the right places.

AIOps tools need the flexibility to ingest and index data from many sources. These include infrastructure, networks, applications, a range of monitoring tools, and deployed software agents. All data from these diverse sources must be normalized before it can be used for either real-time analytics over data in flight or for historical analysis over larger datasets at rest. Successfully deploying AIOps into the enterprise means managing three core constraints: volume, accuracy, and precision.

Customer Success Story

Fortune 50 Professional Services Firm Scales Back Data Costs While Accelerating Migration to The Cloud

I’ve never had this kind of visibility. I get a daily health report, I can see all the data sources are up, and how they’re doing. We’ve never had this level of insight into data stream status. We can just redirect any traffic where it needs to go. Usability has never been this good for a data product before.

Sr. Director of IT
Fortune 50 Firm
0 %
reduction in their 5-6TB/day
Windows Event Log volume
Read case study

USE CASES

AIOps

Improve data accuracy and quality in flight

Reduce as much as 50% of ingested operational data, delivering higher accuracy data to AIOps platforms. Easily eliminate duplicate fields, null values, and any elements of machine or security that provide little value to downstream AIOps models – and control infrastructure costs along the way.

Improve security posture and efficiently scale teams

The ability to scale teams can only happen with automation. Freeing teams from the mundane and repetitive tasks, teams can focus on more strategic initiatives. Automation tooling can proactively help security teams handle an increasing number of security threats and vulnerabilities more effectively, without overburdening the existing staff.

CRIBL WORKS WITH:

Integrations

Get logs, metrics, and traces from any source to any destination. Cribl consistently adds new integrations so you can continue to route your data to and from even more sources and destinations in your toolkit. Check out our integrations page for the complete list.

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