Updates to the AIOps suite, New Relic AI, will allow users to detect and solve issues faster using AI and machine learning (ML).
The suite evaluates telemetry data from the New Relic Database (NRDB) to find anomalies, and notifies users within their existing collaboration tools.
New Relic customers will also be able to benefit from reduced alert noise, with the platform now capable of grouping detected issues into categories. High-priority alerts, events and incidents are correlated, allowing for precedents that can be referred to in future, while flapping and low-priority alerts are suppressed.
Additionally, the suite deeply integrates with incident management workflow tools, including Slack, PagerDuty, ServiceNow, and OpsGenie.
“Our goal is to help reduce the toil and anxiety of running modern systems for engineering teams,” said Guy Fighel, general vice-president and product general manager at New Relic. “New Relic AI is the only solution that has the automation, intelligence and scale-out architecture needed to deliver true observability and offer precise insights that today’s modern and complex enterprises require.
“We continue to push the boundaries to empower DevOps and SRE teams as we enhance our platform relentlessly.”
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Successful incident management, with the aid of AI and ML, allows companies to find and amend errors and incidents before their customers notice.
An early trialist of New Relic’s updated AIOps suite, Peter Hammond, global head of technology operations at Morningstar, commented: “Today, the biggest problem IT Ops teams struggle with the most is making sense of vast volumes of event alert noise, impacting a team’s ability to focus on building flawless software. With New Relic AI, our teams will have a clear understanding of how specific issues affect business services, allowing them to quickly identify and prioritize the most business-critical issues. With this launch, we look forward to harnessing the power of targeted intelligence and ultimately optimising cost.”
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