AIOps and Machine Learning Accelerate Root Cause Analysis for IT Decisions

Presented by

Paige Roberts, Open Source Relations Manager, Vertica, and Xiaobo Ge, CTO, EOITEK

About this talk

EOITEK provides intelligent big data analysis to help customers realize the value of operational and maintenance data for operational optimization. Hadoop and Elasticsearch were bogging down from over 15 TB per day of log and metric data that many of EOITEK’s financial customers had to analyze. By embedding Vertica and using a unified analytics architectural model, they were able to accelerate response times by a factor of ten while cutting client hardware requirements from fifty servers to ten. Watch this webcast from our Data Disruptors series to learn how EOITEK shortened client troubleshooting time from hours to minutes with artificial intelligence and Vertica.

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The Vertica Unified Analytics Platform is built to handle the most demanding analytic use cases and is trusted by thousands of leading data-driven enterprises around the world, including Etsy, Bank of America, Uber, and more. Based on a massively scalable architecture with a broad set of analytical functions spanning event and time series, pattern matching, geospatial, and built-in machine learning capability, Vertica enables data analytics teams to easily apply these powerful functions to large and demanding analytical workloads. Vertica unites the major public clouds and on-premises data centers, as needed, and integrates data in cloud object storage and HDFS without forcing any data movement. Available as a SaaS option, or as a customer-managed system, Vertica helps teams combine growing data siloes for a more complete view of available data. Vertica features separation of compute and storage, so teams can spin up storage and compute resources as needed, then spin down afterwards to reduce costs.