An Intellyx Brain Candy Brief
As many enterprises operationalize big data platforms – that is, implement and scale them for mission-critical business purposes – it becomes increasingly important to discover, address, and ideally to prevent issues with the platforms and the applications running on them.
Traditional application performance monitoring (APM) and AI for operations (AIOps) tools, however, fall short when it comes to dealing with the unique challenges of big data environments that deal with massive, often streaming data sets, including those on Hadoop, Kafka, Spark, and others.
Unravel addresses this high-volume, mission-critical big data segment of the market with a platform that collects, models, and correlates operational big data. Unravel then identifies issues, makes recommendations to data ops personnel, and can even mitigate issues automatically if the customer desires.
Given the massive data volume and concomitant issues its customers face, Unravel leverages AI-driven automation to uncover issues and make its recommendations without overloading ops personnel with irrelevant or low-priority advice.
Copyright © Intellyx LLC. Intellyx publishes the Cortex newsletter, advises companies on their digital transformation initiatives, and helps vendors communicate their agility stories. As of the time of writing, none of the organizations mentioned in this article are Intellyx customers. To be considered for a Brain Candy article, email us at pr@intellyx.com.
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