BigPanda’s AIOps-powered platform helps IT Ops teams turn thousands of monitoring alerts into meaningful incidents, insights and action. BigPanda’s Event Correlation dramatically slashes IT noise and helps detect incidents as they form. This dramatically slashes IT noise and helps IT Ops, NOC and DevOps/SRE teams detect incidents as they form, in real-time. Event Correlation also allows IT Ops execs, Service Owners and NOC and DevOps/SRE managers to report on incident trends, KPIs and metrics to drive operational efficiencies over time. BigPanda’s Root Cause Analysis combines change and topology data to help users pinpoint the cause of the incident, which reduces finger-pointing, war room calls and resolution cycles. BigPanda uses Machine Learning to analyze your incidents against thousands of changes, in real-time, to surface the change that likely caused an incident or outage, then puts this information at the fingertips of teams working on the incident so they can rapidly investigate and resolve issues caused by those changes. And BigPanda’s Level-0 Automation provides real-time, bi-directional incident details to IT notification, chat, ticketing and analytics tools, preventing incidents from escalating into painful outages.
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Company Name: Big Panda
Website: Big Panda
BigPanda provides Event Correlation and Automation, powered by AIOps, that helps operations teams detect, respond and resolve IT incidents faster and more easily than ever before. As enterprises modernize and move to the cloud, IT Ops, NOC, DevOps and SRE teams struggle with manual and reactive incident response capabilities that are badly suited for the scale, complexity and velocity of modern IT environments. This results in painful outages, unhappy customers, growing IT headcount and the inability to focus on innovation. BigPanda helps organizations turn IT noise into insights and manual tasks into automated actions. Enterprises rely on BigPanda to reduce IT operating costs, improve service availability and increase business velocity without adding risk.