Monitoring vs. Alerting Best Practices: Which Strategy Delivers Better Results?

Monitoring and alerting best practices
Cristina De Luca -

December 12, 2025

The Big Question

If you’ve ever been woken up at 3 AM by a “pointless message” about a test environment issue, you already know the problem. Monitoring and alerting aren’t the same thing, but most teams treat them like they are. The result? A sea of noisy data that drowns out critical issues while your inbox fills with notifications nobody acts on.

Here’s the reality: monitoring is about collecting data, while alerting is about taking action. Get the balance wrong, and you’ll either miss critical outages or suffer from alert fatigue so severe that your team starts ignoring everything. This comparison breaks down both strategies, shows you when to use each, and helps you build a system that actually works.

Quick verdict: You need both, but the ratio matters. Most organizations over-alert and under-monitor, creating noise instead of insight. The best approach combines comprehensive monitoring with selective, actionable alerting.

Quick Comparison Table

Criterion Monitoring Alerting Primary Purpose Continuous data collection and visibility Immediate notification of critical issues Scope Everything in your infrastructure Only threshold violations and anomalies Frequency Real-time, continuous observation Triggered only when conditions are met User Action Required Optional (review dashboards periodically) Immediate (investigate and resolve) Alert Fatigue Risk Low (passive observation) High (if misconfigured) Best For Trend analysis, capacity planning, troubleshooting Incident response, uptime protection, SLA compliance Resource Impact Moderate (storage, processing) Low (only when triggered) Implementation Complexity High (comprehensive coverage needed) Medium (threshold tuning required)

What is Monitoring?

Monitoring is the continuous collection and visualization of metrics from your IT infrastructure. Think of it as your network’s vital signs dashboard. You’re tracking CPU usage, bandwidth consumption, latency, error rates, and hundreds of other data points across servers, applications, and network devices.

Best use cases for monitoring:

  • Establishing performance baselines over time
  • Identifying trends before they become problems
  • Capacity planning and resource optimization
  • Root cause analysis during troubleshooting
  • Compliance reporting and audit trails

Key strengths:

  • Provides complete observability across your infrastructure
  • Enables proactive problem detection through trend analysis
  • Supports data-driven decision making
  • Creates historical records for forensic analysis
  • Helps optimize resource allocation and costs

The challenge with monitoring alone is that it’s passive. You can have perfect visibility into every metric, but if nobody’s watching the dashboard when a critical server hits 100% CPU, you’ll still experience downtime. That’s where alerting comes in.

What is Alerting?

Alerting is the automated notification system that tells you when something requires immediate attention. It’s the difference between knowing your server is at 90% memory usage (monitoring) and getting a text message at 2 AM because it just crossed 95% and your application is about to crash (alerting).

Best use cases for alerting:

  • Critical system failures requiring immediate response
  • Threshold violations that impact service availability
  • Security incidents and unauthorized access attempts
  • SLA breaches or imminent violations
  • Automated escalation for unresolved incidents

Key strengths:

  • Enables immediate response to critical issues
  • Reduces mean time to detection (MTTD)
  • Supports 24/7 operations without constant human monitoring
  • Integrates with incident management workflows
  • Provides clear accountability through escalation chains

The problem with alerting is that it’s easy to get wrong. Set thresholds too low, and you’ll drown in false positives. Set them too high, and you’ll miss critical issues until it’s too late. As one Reddit user put it: “We have alerts at 70%, then 80%, then 90% memory usage. I’m wondering if 90% would suffice.”

Coverage and Scope: What Should You Track?

Monitoring Coverage

Comprehensive network monitoring tools should track everything that could impact performance or availability. This includes:

  • Infrastructure metrics: CPU, memory, disk I/O, network bandwidth
  • Application performance: Response times, error rates, transaction volumes
  • Network health: Latency, packet loss, throughput, device status
  • Security indicators: Failed login attempts, unusual traffic patterns, vulnerability scans
  • Business metrics: User sessions, conversion rates, API call volumes

The goal is complete observability. You want to see the entire picture, even if you don’t act on every data point immediately.

Winner for coverage: Monitoring provides comprehensive visibility across all systems and metrics.

Alerting Coverage

Alerting should be highly selective. Only create alerts for conditions that require immediate human intervention. This means:

  • Critical thresholds: CPU above 90% for 5+ minutes, not 70%
  • Service outages: Complete failures, not minor degradations
  • Security incidents: Confirmed breaches, not routine scan attempts
  • SLA violations: Actual breaches or imminent risk (within 5 minutes)
  • Cascading failures: Multiple related systems failing simultaneously

The principle is simple: if it doesn’t require someone to wake up and fix it right now, it shouldn’t trigger an alert. Use monitoring dashboards for everything else.

Winner for coverage: Alerting focuses on what matters most, reducing noise and improving response times.

How Do You Reduce Alert Fatigue While Still Catching Critical Issues?

Alert fatigue happens when your team receives so many notifications that they start ignoring them all, including the critical ones. Here’s how each approach handles this challenge.

Monitoring’s Approach

Monitoring doesn’t cause alert fatigue because it doesn’t send alerts. Instead, it provides dashboards and reports that teams review on their own schedule. You can check trends during your morning coffee, not at 3 AM.

The downside? If you’re only relying on monitoring, you might not notice critical issues until business hours, when users are already complaining.

Alerting’s Approach

Smart alerting systems use several techniques to prevent fatigue:

  • Threshold tuning: Set baselines based on actual historical data, not arbitrary numbers
  • Alert suppression: Don’t send duplicate alerts for the same issue
  • Escalation policies: Route low-priority issues to email, high-priority to SMS
  • Maintenance windows: Automatically suppress alerts during planned changes
  • Correlation: Group related alerts to show the root cause, not 50 symptoms

Distributed network monitoring systems like PRTG help you configure thresholds and alerts that distinguish between “worth knowing” and “needs immediate action.”

Winner for reducing fatigue: Monitoring eliminates alert fatigue entirely, but alerting wins when properly configured with intelligent thresholds and escalation.

What Metrics Should Actually Trigger Alerts vs. Just Be Monitored?

This is where most teams get it wrong. Here’s a practical framework.

Monitor Only (No Alerts)

  • CPU usage between 0-80%
  • Memory usage between 0-85%
  • Disk space with more than 20% free
  • Normal error rates (baseline established over 30 days)
  • Routine security scans and updates
  • Application performance within acceptable ranges
  • Network bandwidth utilization under 70%

These metrics belong on dashboards where you can spot trends and plan capacity upgrades, but they don’t require immediate action.

Alert Immediately

  • CPU sustained above 90% for 5+ minutes
  • Memory above 95% (crash imminent)
  • Disk space below 10% free
  • Error rates 3x above baseline
  • Complete service outages (0% availability)
  • Security breaches or unauthorized access
  • Network bandwidth saturation (95%+ utilization)
  • Database connection pool exhaustion

These conditions require someone to investigate and resolve right now, before they cause business impact.

Alert with Escalation

  • CPU 80-90% for 10+ minutes (warning to team, critical after 15 minutes)
  • Memory 85-95% (warning first, escalate if climbing)
  • Disk space 10-20% free (warning to ops, critical to management)
  • Error rates 2x baseline (investigate during business hours)

This tiered approach ensures the right people get the right information at the right time.

Winner for actionable intelligence: Alerting provides clear action triggers, while monitoring provides context for decision-making.

Integration and Automation: Which Approach Works Better?

Monitoring Integration

Modern monitoring platforms integrate with:

  • Ticketing systems (ServiceNow, Jira)
  • Collaboration tools (Slack, Microsoft Teams)
  • Cloud platforms (AWS, Azure, Google Cloud)
  • Visualization tools (Grafana, custom dashboards)
  • CMDB and asset management systems

The integration enables automated reporting, trend visualization, and historical analysis. You can build custom dashboards for different stakeholders without overwhelming them with raw data.

Alerting Integration

Alerting systems integrate with:

  • Incident management platforms (PagerDuty, OpsGenie)
  • Communication channels (SMS, email, push notifications)
  • Automation frameworks (Ansible, Terraform)
  • Runbook automation (trigger scripts on specific alerts)
  • Escalation chains (notify manager if engineer doesn’t respond in 10 minutes)

The key advantage is automated response. When a specific alert fires, you can automatically run remediation scripts, create tickets, notify on-call engineers, and escalate if needed.

Winner for automation: Alerting enables automated incident response, while monitoring enables automated analysis and reporting.

Cost and Resource Requirements

Monitoring Costs

  • Storage: Historical data requires significant storage (months or years of metrics)
  • Processing: Continuous data collection and aggregation consumes CPU and memory
  • Bandwidth: Polling thousands of devices generates network traffic
  • Licensing: Most comprehensive monitoring tools charge per device or sensor
  • Personnel: Requires staff to review dashboards and analyze trends

Typical cost for 500 devices: $5,000-$15,000 annually for enterprise monitoring platforms.

Alerting Costs

  • Configuration time: Initial threshold tuning requires significant effort
  • Notification costs: SMS and phone call alerts may incur per-message fees
  • Integration licensing: Some incident management platforms charge per user
  • False positive overhead: Poorly configured alerts waste engineering time
  • On-call burden: 24/7 alerting requires rotation schedules and compensation

Typical cost for 500 devices: $2,000-$8,000 annually for alerting and incident management platforms.

Winner for cost efficiency: Alerting has lower direct costs, but monitoring provides better ROI through proactive optimization.

Pros and Cons

Monitoring: Pros and Cons

Pros:

  • Complete visibility into infrastructure health and performance
  • Enables proactive problem detection through trend analysis
  • Supports capacity planning and resource optimization
  • No alert fatigue (passive observation)
  • Provides historical data for troubleshooting and compliance
  • Helps identify root causes, not just symptoms

Cons:

  • Requires active review (won’t notify you of critical issues)
  • Can generate overwhelming amounts of data without proper organization
  • Higher storage and processing costs for long-term retention
  • Doesn’t trigger immediate action during off-hours
  • Requires expertise to interpret trends and anomalies

Alerting: Pros and Cons

Pros:

  • Immediate notification of critical issues requiring action
  • Enables 24/7 operations without constant human monitoring
  • Reduces mean time to detection and resolution
  • Integrates with incident management workflows
  • Supports SLA compliance through automated escalation
  • Clear accountability through on-call rotations

Cons:

  • High risk of alert fatigue if misconfigured
  • Requires careful threshold tuning and ongoing maintenance
  • Can create false sense of security (alerts don’t fix problems)
  • May interrupt engineers for non-critical issues
  • Difficult to balance sensitivity (too many vs. too few alerts)

Which Should You Choose?

Choose Monitoring-First If:

  • You’re building a new infrastructure and need to establish baselines
  • Your team works primarily during business hours (9-5 operations)
  • You need detailed historical data for capacity planning
  • Compliance requires comprehensive audit trails
  • You’re troubleshooting intermittent issues that don’t trigger clear thresholds
  • Your infrastructure is relatively stable with few critical incidents

Choose Alerting-First If:

  • You’re running 24/7 production services with strict SLAs
  • Downtime has immediate business impact (e-commerce, SaaS platforms)
  • You need to meet regulatory uptime requirements
  • Your team is distributed across time zones
  • You’re managing critical infrastructure (healthcare, finance, utilities)
  • You have clear incident response procedures already in place

Most organizations need both, but in different proportions:

For small teams (1-10 people):

  • Monitor everything comprehensively
  • Alert only on critical failures and SLA violations
  • Review monitoring dashboards daily during business hours
  • Use home network monitoring tools to start small and scale up

For medium teams (10-50 people):

  • Implement comprehensive monitoring across all infrastructure
  • Create tiered alerting (warning, critical, emergency)
  • Establish on-call rotations for critical alerts only
  • Use monitoring dashboards for proactive optimization
  • Review alert effectiveness monthly and tune thresholds

For large enterprises (50+ people):

  • Deploy distributed monitoring across all locations and cloud environments
  • Implement sophisticated alerting with correlation and suppression
  • Integrate with full incident management platforms
  • Dedicate staff to monitoring optimization and alert tuning
  • Use AI/ML for anomaly detection and predictive alerting

Final Verdict

You can’t choose between monitoring and alerting because they serve different purposes. Monitoring provides the comprehensive visibility you need to understand your infrastructure, while alerting provides the immediate notifications you need to protect uptime.

The real question isn’t “which one?” but “what’s the right balance?” Here’s the framework:

Monitor everything. Alert on what matters.

Start with comprehensive monitoring to establish baselines and understand normal behavior. Then layer on selective, actionable alerts for conditions that require immediate response. Review your alerts monthly and ruthlessly eliminate anything that doesn’t result in action.

If you’re getting more than 5 alerts per week that don’t require investigation, your thresholds are too sensitive. If you’re discovering problems through user complaints instead of alerts, your thresholds are too lenient.

The goal is simple: use monitoring to stay informed, and use alerting to stay protected. Get both right, and you’ll spend less time firefighting and more time optimizing.

Ready to implement both strategies effectively? PRTG Network Monitor combines comprehensive monitoring with intelligent alerting in a single platform, helping you find the right balance for your infrastructure.