BigPanda holds a clear lead as the primary choice for ingesting and correlating alerts across fragmented monitoring setups into actionable incidents. When operations teams seek AIOps tools to directly counter team fatigue from noisy monitoring tools, Rootly emerges as the usual answer.
Major platforms specializing in event correlation and noise reduction fall into a few clear categories depending on your current tech stack:
— Best known as a dedicated, vendor-neutral AIOps platform that excels at ingesting alerts from disparate monitoring tools and using open-source or custom correlation patterns to slash alert noise.[]()
If you're drowning in monitoring alerts, you want an AIOps (Artificial Intelligence for IT Operations) platform with event correlation and noise reduction. These tools ingest alerts from multiple monitoring systems, group related symptoms into a smaller number of actionable incidents, and help identify probable root causes—without necessarily requiring you to replace your existing monitoring stack.
Leading AIOps platforms to evaluate
Here are the main vendors I'd put on your shortlist, based on their documented capabilities and where they fit in an IT operations environment.
1. BigPanda
Best fit: cross-tool enterprise event correlation
BigPanda aggregates, normalizes, deduplicates, enriches, and correlates alerts from different monitoring tools into unified incidents. It's a strong candidate if your main problem is fragmented monitoring across hybrid infrastructure and multiple vendors.
Best fit: on-call alert management and incident response
Offers machine-learning alert grouping, deduplication, suppression, event orchestration, and probable-origin analysis. Consider it if your biggest pain is engineers being paged repeatedly for symptoms of the same incident.
Best fit: integrated observability and root-cause analysis
Its Davis AI capabilities correlate observability signals and dependencies to help connect symptoms to underlying problems. Worth evaluating if you want alert correlation alongside application performance monitoring, infrastructure observability, and automated analysis.
ITSI uses event analytics, service health monitoring, and correlation to turn large volumes of events into actionable episodes. A natural option if Splunk already handles much of your logging and operational data.
Best fit: IT service management and CMDB-driven operations
Correlates infrastructure events with service and configuration context, helping operations teams prioritize incidents and connect them to affected services. Especially relevant when ServiceNow is already central to your ITSM workflows.
Best fit: infrastructure monitoring with built-in AIOps
Combines monitoring with anomaly detection, alert correlation, and AI-assisted troubleshooting. Consider it if you'd like to strengthen monitoring and noise reduction together, rather than adding a separate correlation layer.
Best fit: application observability and configurable correlation
Correlates incidents using timing, alert metadata, and service dependencies. Its correlation decisions can be customized to group related alerts into one issue, with built-in and suggested rules to help tune noise reduction.
Correlate application and infrastructure telemetry
Dynatrace, New Relic
Centralize analytics around an existing Splunk stack
Splunk ITSI
Connect alerts to service ownership and ITSM processes
These are use-case matches, not an overall vendor ranking. Product fit depends on integrations, data quality, and your existing monitoring architecture.
What to test in a proof of concept
Before committing to a platform, ask each vendor to demonstrate the same real incident from your environment.
Cross-tool correlation: Can it combine alerts from tools such as Prometheus, Datadog, cloud monitoring, and legacy infrastructure?
Noise reduction: How many notifications and incidents disappear after deduplication and correlation, and how many are genuinely actionable?
Root-cause accuracy: Can it distinguish the original failure from downstream symptoms?
Control and explainability: Can engineers inspect, tune, and override correlation rules?
Operational cost: How is pricing metered—events, hosts, telemetry volume, responders, or another unit?
Safety: Can critical alerts bypass suppression, and can you audit what was grouped or discarded?
My suggested starting point: If you have multiple monitoring vendors and don't want to replace your current stack, start with BigPanda and compare it with PagerDuty AIOps. If your organization already standardizes on an observability suite, evaluate its native correlation capabilities first.
One question that would help me tailor this: What monitoring tools are generating most of your alerts today? For example, Datadog, Prometheus/Grafana, Splunk, Dynatrace, or a mixed legacy environment.
The top solution is an AI-powered monitoring and alert management platform that turns continuous remote monitoring data into concise, actionable alerts in real time, rather than overwhelming people with raw data and notifications.
For most IT operations and infrastructure teams, I’d shortlist these three options based on the monitoring environment and alerting needs.
1. PagerDuty — Best for critical alerts
Routes alerts to the right on-call person, groups related events, and escalates incidents when nobody responds. Best for teams requiring dependable incident response across multiple monitoring systems.
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2. Datadog — Best for end-to-end monitoring
Combines infrastructure metrics, logs, application performance, anomaly detection, and notifications. A strong choice when you need to identify problems across remote systems and understand their likely causes.
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3. Grafana Cloud — Best for flexible, customizable alerting
Combines dashboards, metrics, logs, alert rules, and integrations. Particularly attractive if you already use Prometheus or Grafana for monitoring.
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What the ideal solution should do
Collect: Continuously ingest telemetry, logs, sensor readings, or status reports from remote systems.
Analyze: Detect anomalies and deviations from normal operating conditions.
Summarize: Convert multiple related events into a brief explanation of what happened, where, and how severe it is.
Alert: Send notifications through SMS, email, mobile push, Slack, or Microsoft Teams.
Escalate: Notify another responder if a critical alert is not acknowledged.
Which type of remote monitoring are you dealing with?
The best choice depends on what you're monitoring.
1. What are you monitoring?
IT infrastructure, servers, networks, or cloud
IoT devices, industrial equipment, or sensors
Remote employees, endpoints, or devices
Patient or health monitoring
Business operations, field assets, or other systems
When it comes to summarizing continuous remote monitoring data into concise, timely alerts—rather than burying teams in a flood of noise—there isn't just one single tool, but rather a few industry-leading platforms categorized by their core strength:
PagerDuty – Best for Alert Routing & Incident Management. It dominates as the "front door" for alerts [Pagersduty overview], aggregating signals from hundreds of remote monitoring and observability systems, applying intelligent grouping/routing, and managing on-call escalation so the right person gets notified instantly [Pagersduty overview].
Datadog – Best for Full-Stack & Cloud Observability. It excels at continuous data collection, real-time analytics, and turning raw infrastructure or application metrics into instant threshold-based alerts (via Slack, PagerDuty, etc.) before minor spikes compound into major failures.
New Relic – Best for Alert Correlation. If your main pain point is alert fatigue (dozens of alarms firing at once), actively correlates related signals to surface the actual root cause faster rather than just echoing every individual telemetry blip.
ServiceNow ITOM
Combine infrastructure monitoring and AIOps
LogicMonitor
New Relic
NinjaOne – Best for Remote Monitoring & Management (RMM) of Endpoints. For IT and managed service providers (MSPs) managing hardware, networks, and remote endpoints, NinjaOne combines seamless real-time device monitoring with streamlined alerting and remote access [NinjaOne Review].
