New Relic enhances its AIOps capabilities with recommended alerts
New Relic has further enhanced its AIOps capabilities with
recommended alerts. This provides the ability to detect and resolve alert
coverage gaps by using AI to identify anomalous behavior, determine areas of
the technology stack that aren’t being monitored, and recommend new alerts to
engineers.
The observability solution reduces the need to manually build
numerous alert conditions using AI makes it easier to understand which signals
are most important or what thresholds indicate performance problems. Now, every
engineer, regardless of their experience level, can eliminate alerting
blindspots—empowering them to detect, resolve, and respond to issues faster.
“In an increasingly dynamic landscape, it’s easy for engineering
teams to be overwhelmed by the need to configure alerts across different layers
of the technology stack, especially since manually creating alert policies can
be time- and resource-intensive. This can cause enormous gaps in the team’s
alerting policies, leaving them blind and incapable of responding quickly and
confidently when things break,” said New Relic CPO Manav Khurana.
“We designed New Relic recommended alerts to remove those
barriers, so teams have the alerts they need to proactively monitor their
stack, diagnose incidents and prioritize them for immediate action before it
impacts their customers, business, and bottom line,” Khurana added.
Powered by AIOps, New Relic recommended alerts streamlines
alerting with its alert coverage gaps feature, which continuously and
automatically highlights areas in an organization’s technology stack that are
missing alert coverage across application performance monitoring (APM), mobile
and browser entities.
Then, New Relic fills alerting gaps by recommending new alerts
with pre-populated alert conditions, such as error percentage or response time.
Using the recommendations as a starting point, engineers can also customize
their alerts by implementing additional parameters to tailor the alert
conditions and drive even better coverage for the team.
“Successful AIOps solutions are more than just technology—on its
own, technology is passive, but AI is active,” reports Forrester Principal
Analyst Carlos Casanova. “Using AIOps, leaders can
improve system resilience, decrease downtime, improve mean-time-to-resolution,
and avoid certain incident scenarios altogether.”
New Relic recommended alerts builds upon New Relic AI, a suite
of AIOps capabilities that understands historical alerts and applies machine
learning (ML) and AI to significantly reduce alert noise, enrich incidents with
context, and provide intelligence and automation to engineering teams in
real-time.
With New
Relic AI, engineers can detect, diagnose and resolve incidents faster, and
continuously improve incident management workflow.
Leave A Comment