April 8, 2021
New Relic Announces Date of Fourth Quarter and Fiscal Year 2021 Financial Results Conference Call
New Relic, Inc. (NYSE: NEWR), the observability company, announced today that it will report its financial results for the fourth quarter and fiscal year ended March 31, 2021, after market close on Thursday, May 13, 2021. In conjunction with its earnings press release, New Relic will post an investor letter to the investor relations page of its company website at http://ir.newrelic.com . New Relic will host a conference call to answer questions at 2 p.m. Pacific Time (5 p.m. Eastern Time) on Thursday, May 13, 2021. The conference call can be accessed by dialing (844) 757-5730 from the United States or (412) 542-4120 internationally with conference ID 10154373. Callers are encouraged to dial into the call at least 15 minutes prior to the start to prevent any delay in joining. A live webcast and replay of the conference call can be accessed from the investor relations page of New Relic’s company website at http://ir.newrelic.com . Following the completion of the call through 11:59 p.m....
March 17, 2021
New Relic Delivers Next-Gen AIOps to Democratize AI-Assisted Incident Response for Every Engineer; Introduces Free Forever Access to Instant Anomaly Detection
Engineers can now automatically detect changes instantly, cut alert noise, and see probable root cause across any data source with New Relic’s observability platform–without guesswork, lengthy setup, or a credit card New Relic, Inc. (NYSE: NEWR), the observability company, launched new capabilities in New Relic Applied Intelligence to help engineers detect, understand, and resolve incidents faster than ever. This latest update to New Relic One allows engineers to uncover anomalies automatically, now enabled by default and available for free to all users. Engineers can now also see the probable root cause of every incident from any data source automatically, with guidance on suggested responders on their team who may be best equipped to revolve each issue. Also available in public beta today, engineers can quickly spot patterns and outliers in all of their log data using machine learning (ML) to dramatically reduce troubleshooting time. “AIOps has promised engineers the ability to...