{"id":748389,"date":"2023-04-18T02:33:06","date_gmt":"2023-04-18T06:33:06","guid":{"rendered":"https:\/\/www.marketnewsdesk.com\/index.php\/sumo-logic-helps-control-the-chaos-by-enhancing-predictive-analytics-for-observability\/"},"modified":"2023-04-18T02:33:06","modified_gmt":"2023-04-18T06:33:06","slug":"sumo-logic-helps-control-the-chaos-by-enhancing-predictive-analytics-for-observability","status":"publish","type":"post","link":"https:\/\/www.marketnewsdesk.com\/index.php\/sumo-logic-helps-control-the-chaos-by-enhancing-predictive-analytics-for-observability\/","title":{"rendered":"Sumo Logic Helps Control the Chaos by Enhancing Predictive Analytics for Observability"},"content":{"rendered":"

\nPredicts variable cloud resource needs during production and managing the reliability of digital services
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AMSTERDAM, April 18, 2023 (GLOBE NEWSWIRE) — KubeCon + CloudNativeCon Europe 2023 <\/strong>—\u00a0Sumo Logic (NASDAQ: SUMO), the SaaS analytics platform to enable reliable and secure cloud-native applications, today announced\u00a0Predict for Metrics<\/u><\/a>. When combined with existing capabilities in Sumo Logic, Predict for Metrics provides a comprehensive way to harness observability analytics to better predict variable applications, cloud and infrastructure usage and resource demands.<\/p>\n

Predict for Metrics is designed to provide better visibility into production issues, system downtime, and uncontrolled cloud costs. Sumo Logic will showcase this functionality at booth S26 during the KubeCon + CloudNativeCon Europe 2023 event in Amsterdam from April 18-21.<\/p>\n

\u201cTo keep pace with the speed of modern application development, it is important that operations leaders are able to predict their app and cloud usage needs to keep operations running smoothly and avoid unplanned downtime,\u201d said Erez Barak, VP of Product Development for Observability, Sumo Logic. \u201cPredictive analytics for logs and metrics telemetry provides the key to managing cloud infrastructure and app development variables. Our customers will gain valuable insights to ensure better resilience to avoidable production issues.\u201d<\/p>\n

\n Read the blog: <\/em>
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\n Plan Better and Preempt Bottlenecks with Predict for Metrics<\/u>
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As organizations rapidly spin up new infrastructure in the cloud and manage the reliability of their sprawling digital apps and services, the influx of unplanned usage creates strain for developers and operations managers. Understanding fluctuating cloud usage for capacity management and reducing resource bottlenecks and unplanned system loads that cause production incidents is critical.<\/p>\n

Similar to the existing predict operator for Logs<\/u><\/a>, Predict for Metrics uses linear and autoregressive models to make predictions by harnessing past data points to predict future trends. It is a metrics query language operator, which allows users to visualize forecasted values and add resulting charts to Sumo Logic dashboards. Here are some additional use cases for Predict for Metrics.<\/p>\n

\n Using Predict for Metrics<\/strong>\n <\/p>\n