Modern digital businesses depend on observability to detect issues before they impact customers. As applications become increasingly distributed across cloud services, Kubernetes, containers, microservices, and AI-powered workloads, the volume of telemetry continues to grow. While this provides unprecedented visibility into system health, it also makes creating and maintaining comprehensive alert coverage increasingly difficult.
Engineering teams spend valuable time deciding what should be monitored, determining appropriate thresholds, creating alert conditions, organizing policies, and continually updating configurations as environments evolve. The challenge isn’t creating more alerts. It’s creating the right alerts while maintaining consistent coverage across rapidly changing infrastructure.
New Relic Smart Alerts changes that.
Now available in Public Preview, Smart Alerts analyzes historical telemetry to intelligently recommend alert coverage, accelerate alert creation, and help organizations consistently apply monitoring best practices across their environments. Built on New Relic’s patent-pending alert intelligence, Smart Alerts helps engineering teams move from manual configuration to intelligent recommendations that scale with their infrastructure.
For years, observability has been defined by a simple premise: it tells you what happened. The next evolution of software reliability is autonomous operations, which helps determine what happens next. It is a shift toward using AI not just to summarize alerts, but to continuously investigate, reason, and safely orchestrate remediation.
However, to achieve true autonomous operations, engineering teams need a detection engine that feeds pristine, noise-free context directly into their AI assistants. Garbage in means garbage out; AI recommendations are only valuable if they are grounded in trusted operational evidence.
Smart Alerts bridges this critical gap. By grounding alerts in historical telemetry rather than static thresholds, it produces the high-fidelity signals required by New Relic Autopilot. It ensures that when your AI investigates an incident, it is reasoning across accurate, continuously evolving operational context—without overwhelming your responders or your autonomous agents with false positives.
The result is faster deployment of high-quality alert coverage, dramatically less operational effort, and greater confidence that critical services are consistently monitored.
Dramatically Reduce Operational Toil
As environments grow, so does the effort required to configure and maintain alerts.
Consider an organization monitoring five entity types with 1,000 entities each. Configuring alert conditions manually can require approximately 165,000 individual clicks to establish comprehensive alert coverage.
With Smart Alerts, organizations can generate those recommendations in fewer than 50 clicks, dramatically reducing the manual effort required to deploy consistent, high-quality monitoring.
Rather than spending valuable engineering time configuring and maintaining alerts, teams can focus on improving application reliability, accelerating innovation, and delivering better customer experiences.
Scaling Alert Management for Modern Environments
Traditional alerting approaches were designed for relatively static environments where engineers manually created alert conditions for individual services or hosts.
Today’s environments are very different.
Cloud-native architectures continuously evolve. New workloads appear automatically. Services scale dynamically. Infrastructure changes daily. Applications become increasingly interconnected.
As environments evolve, alert coverage must evolve with them.
Maintaining comprehensive monitoring manually requires continuous effort, deep operational knowledge, and ongoing tuning. Even experienced teams can struggle to maintain consistent coverage across thousands of entities while minimizing unnecessary operational noise.
The challenge is no longer visibility. It’s scaling alert management as quickly as modern infrastructure evolves.
Intelligent Recommendations Built from Historical Telemetry
Smart Alerts helps engineering teams move beyond manual configuration by analyzing historical telemetry to recommend alert coverage based on how applications actually behave.
Instead of starting with a blank page, Smart Alerts automatically recommends:
- Alert conditions
- Coverage recommendations
- Monitoring best practices
These recommendations are generated from historical operational data, helping organizations deploy high-quality monitoring more consistently while significantly reducing the time required to configure alerts manually.
The result is a faster, more repeatable approach to building alert coverage across growing environments.
Improve Coverage While Reducing Noise
One of the biggest challenges in modern operations is balancing comprehensive monitoring with meaningful notifications.
Insufficient alert coverage can leave critical services unprotected.
Too many poorly configured alerts can overwhelm responders with unnecessary noise.
Smart Alerts helps organizations strike that balance by recommending meaningful alert coverage based on historical telemetry rather than relying solely on manual configuration.
This helps teams:
- Improve monitoring consistency across environments
- Increase confidence that critical services are protected
- Reduce manual operational effort
- Minimize low-value alerts
- Accelerate deployment of monitoring best practices
Rather than creating more alerts, Smart Alerts helps organizations create better alerts.
Built for Enterprise Scale
Whether monitoring hundreds or tens of thousands of entities, Smart Alerts enables engineering teams to standardize alert creation and help organizations deploy consistent monitoring best practices across large environments.
Organizations can quickly establish consistent monitoring practices across:
- Kubernetes clusters
- Cloud infrastructure
- Virtual machines
- Containerized workloads
- Applications
- Services
- Databases
As environments continue to evolve, Smart Alerts helps organizations keep pace without continually rebuilding alert configurations from scratch.
A Foundation for Autonomous Operations
Smart Alerts represents another step toward autonomous operations.
As organizations increasingly adopt AI-assisted operations, they need more than automation. They need recommendations grounded in trusted historical telemetry.
By combining historical telemetry with New Relic’s alert intelligence, Smart Alerts helps automate one of the most time-consuming aspects of observability while maintaining confidence in the quality and consistency of monitoring.
Instead of spending hours creating and maintaining alert conditions, engineers can focus on higher-value work that improves reliability, resilience, and customer experiences.
Available Now in Public Preview
New Relic Smart Alerts is available today in Public Preview, giving organizations an early opportunity to experience a faster, more intelligent approach to alert creation.
By reducing operational toil, improving monitoring coverage, and intelligently recommending alerts based on historical telemetry, Smart Alerts helps engineering teams scale observability with greater confidence while laying another important foundation for autonomous operations.
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