SaaS Management Simplified.

Discover, Manage and Secure all your apps

Built for IT, Finance and Security Teams

Thank you! Your submission has been received!
Oops! Something went wrong while submitting the form.
Recognized by

Top 10 IT Infrastructure Monitoring Tools for Comprehensive Oversight (2025 Guide)

Originally Published:
June 6, 2025
Last Updated:
June 9, 2025
8 min

Introduction

IT infrastructure is no longer confined to a single on-premises environment in today's digital-first enterprises. Organizations run mission-critical applications across cloud platforms like AWS, Azure, and GCP, along with on-prem servers, edge devices, and hybrid workloads. As complexity rises, so do the risks—outages, performance bottlenecks, and compliance lapses can hinder productivity and erode customer trust.

Modern infrastructure monitoring software enables IT teams to gain unified visibility across servers, containers, VMs, databases, cloud services, and networks—identifying issues before they impact end-users. With AI/ML-powered anomaly detection, deep analytics, and real-time alerting, these platforms help organizations proactively manage system health, meet SLAs, and improve uptime.

This 2025 guide breaks down the top 10 infrastructure monitoring tools that help IT Ops, SREs, and DevOps teams stay ahead of problems, ensure system resilience, and support business continuity.

Why Infrastructure Monitoring Is Critical to IT Operations?

The evolution of IT infrastructure—from bare-metal servers to dynamic hybrid environments—has created new operational challenges:

  • Alert fatigue from poorly configured thresholds.
  • Blind spots across hybrid or multi-cloud systems.
  • Manual log correlation that slows down root cause analysis.
  • Siloed teams, leading to inconsistent data visibility.
  • Compliance risks are due to a lack of auditable performance records.

Benefits of Modern Infrastructure Monitoring

Centralized Observability: Unifies logs, metrics, traces, and events from all infrastructure layers.

Predictive Alerting: AI/ML models detect deviations and alert teams before impact.

Full-Stack Monitoring: Covers network devices, cloud services, apps, databases, and hardware.

Service Dependency Mapping: Visualizes how components interact, aiding RCA.

Governance & SLA Tracking: Tracks uptime availability and supports regulatory audits (SOC 2, HIPAA, etc.).

Key Features to Look for in Infrastructure Monitoring Tools

When selecting an infrastructure monitoring platform, prioritize tools that offer:

  • Agent-based and Agentless Monitoring: Flexibility to collect telemetry based on asset type.
  • Unified Dashboards: Real-time insights across hybrid cloud environments.
  • AIOps for Alert Management: AI/ML models to reduce noise and prioritize incidents.
  • Application Dependency Mapping: Understand the impact radius of any issue.
  • Role-Based Access Control (RBAC): Granular permissions for teams, tenants, or business units.
  • Auto-Discovery and Configuration Mapping: Quickly onboard devices or services with minimal manual setup.
  • Third-Party Integrations: Compatibility with ITSM, DevOps, cloud providers, and security tools.
  • Compliance Readiness: Support generating reports aligned to PCI-DSS, ISO 27001, HIPAA, NIST, etc.

Top 10 IT Infrastructure Monitoring Tools for 2025

Datadog

Overview: Datadog provides cloud-native infrastructure monitoring with real-time dashboards, AI-powered alerts, and full-stack observability across cloud, containers, and on-prem systems.

Pros:

  • Seamless integration with 600+ technologies.
  • AIOps-driven root cause analysis.

Cons:

  • It can get expensive at scale.
  • The learning curve for customization.

User Ratings:

  • G2 Rating: 4.4/5 (547 reviews)
  • Gartner Rating: 4.5/5 (300 reviews)

Screenshot:

Picture 650617735, Picture

SolarWinds Hybrid Cloud Observability

Overview: SolarWinds offers a robust suite for monitoring servers, networks, and hybrid environments, supporting traditional IT infrastructure.

Pros:

  • Comprehensive SNMP and NetFlow support.
  • Real-time topology mapping.

Cons:

  • UI feels dated.
  • Better suited for mid-sized and large on-prem deployments.

User Ratings:

  • G2 Rating: 4.3/5 (782 reviews)
  • Gartner Rating: 4.5/5 (95 reviews)

Screenshot:

Picture 1292318916, Picture

Dynatrace

Overview: Dynatrace uses Davis AI to deliver predictive, automated observability for infrastructure, apps, security, and user experience.

Pros:

  • Advanced AIOps and automation.
  • Strong security observability.

Cons:

  • Expensive for SMBs.
  • It is complex to configure initially.

User Ratings:

  • G2 Rating: 4.5/5 (1332 reviews)
  • Gartner Rating: 4.6/5 (1672 reviews)

Screenshot:

Picture 416508485, Picture

LogicMonitor

Overview: LogicMonitor is a SaaS-based platform offering unified monitoring for networks, cloud, servers, and more with 2,000+ integrations.

Pros:

  • Rapid deployment and auto-discovery.
  • Good for MSPs and hybrid cloud orgs.

Cons:

  • UI can be overwhelming.
  • Limited customization for SLA dashboards.

User Ratings:

  • G2 Rating: 4.5/5 (628 reviews)
  • Gartner Rating: 4.4/5 (178 reviews)

Screenshot:

Picture 1176767292, Picture

Zabbix

Overview: Zabbix is an open-source enterprise-grade platform for infrastructure monitoring with strong community support.

Pros:

  • There are no licensing costs.
  • Highly customizable.

Cons:

  • Requires Linux expertise.
  • Lacks modern UI features.

User Ratings:

  • G2 Rating: 4.3/5 (193 reviews)
  • Gartner Rating: 4.6/5 (327 reviews)

Screenshot:

Picture 2139168447, Picture

New Relic

Overview: New Relic delivers infrastructure + APM monitoring with real-time telemetry, synthetic checks, and full-stack visibility.

Pros:

  • Deep developer observability.
  • Great for CI/CD and DevOps workflows.

Cons:

  • The pricing model is complex.
  • Limited alert customization.

User Ratings:

  • G2 Rating: 4.5/5 (511 reviews)
  • Gartner Rating: 4.5/5 (1392 reviews)

Screenshot:

Picture 275684067, Picture

ManageEngine OpManager

Overview: OpManager provides detailed insights into physical/virtual servers, routers, switches, and firewalls with visual mapping.

Pros:

  • Affordable pricing.
  • Deep network monitoring features.

Cons:

  • Less suitable for public cloud.
  • Limited integrations outside the ManageEngine suite.

User Ratings:

  • G2 Rating: 4.6/5 (127 reviews)
  • Gartner Rating: 4.5/5 (954 reviews)

Screenshot:

Picture 1631662931, Picture

Nagios XI

Overview: Nagios XI is a modular, on-prem solution ideal for highly customized IT monitoring setups.

Pros:

  • Strong plugin ecosystem.
  • It's a great alerting engine.

Cons:

  • Manual plugin maintenance.
  • Limited out-of-the-box cloud integrations.

User Ratings:

  • G2 Rating: 4.5/5 (55 reviews)
  • Gartner Rating: 4.4/5 (249 reviews)

Screenshot:

Picture 1804829789, Picture

PRTG Network Monitor

Overview: PRTG uses sensor-based monitoring for servers, networks, VMs, cloud services, and IoT infrastructure.

Pros:

  • Easy to set up and scale.
  • Visual dashboarding.

Cons:

  • Sensor models can become limiting.
  • UI is less modern compared to newer tools.

User Ratings:

  • G2 Rating: 4.6/5 (123 reviews)
  • Gartner Rating: 4.5/5 (807 reviews)

Screenshot:

Picture 1075829274, Picture

CloudNuro.ai

Overview: CloudNuro.ai complements monitoring tools by offering SaaS governance—tracking user access, app usage, licensing, and compliance risks.

Pros:

  • License optimization and renewal insights.
  • SaaS usage audits for compliance.

Cons:

  • Not a technical infra-monitoring tool.
  • No log or metric collection.

User Ratings:

  • G2 Rating: 4.7/5 (9 reviews)
  • Gartner Rating: 4.9/5 (9 reviews)

Screenshot:

Picture, Picture


Tool Comparison Table

Best Practices for Infrastructure Monitoring

To fully leverage your infrastructure monitoring investments, follow these proven best practices:

1. Combine Agent-Based and Agentless Monitoring

Use agentless monitoring for lightweight or temporary assets to reduce overhead. Deploy agents on mission-critical systems where deep telemetry is needed (e.g., CPU metrics, disk I/O, and application processes).

2. Use AI/ML to Reduce Alert Fatigue

Many tools now include AIOps capabilities to detect anomalies, group-related alerts, and auto-remediate known issues. It minimizes alert storms and lets teams focus on high-impact incidents.

3. Create Role-Based Dashboards

Tailor monitoring dashboards for different stakeholders:

  • DevOps → latency and app performance
  • Infra Engineers → server uptime, hardware metrics
  • CIOs → SLA compliance, high-level availability trends

4. Align Monitoring with Incident Management

Integrate your monitoring tool with ITSM systems like ServiceNow, Jira Service Management, or PagerDuty. It enables seamless alert-to-incident workflows and speeds up MTTR.

5. Audit Monitoring Configurations Quarterly

Stale thresholds, missing assets, or redundant sensors can degrade monitoring accuracy. Regularly review configurations and update templates to reflect current infrastructure.

6. Monitor SaaS Apps and Licensing Side-by-Side

While infrastructure monitoring focuses on technical health, it’s equally important to watch SaaS app usage, licensing waste, and user access risks. A governance tool like CloudNuro.ai helps complete the picture.

FAQs

Q1: What’s the difference between infrastructure monitoring and observability?

Infrastructure monitoring involves tracking the performance of system components like servers, networks, and storage.
Observability includes this but incorporates logs, metrics, traces, and service relationships to enable root cause analysis.

Q2: Can I monitor both cloud and on-prem infrastructure with these tools?

Yes. Most leading tools (like Datadog, Dynatrace, and LogicMonitor) support hybrid and multi-cloud environments, offering unified dashboards regardless of deployment location.

Q3: How do AIOps capabilities help with infrastructure monitoring?

AIOps uses machine learning to:

  • Detect performance anomalies
  • Correlate related alerts
  • Predict failures
  • Automate incident response
    It reduces manual workload and improves uptime.

Q4: What does CloudNuro.ai monitor?

CloudNuro.ai monitors SaaS and cloud application usage. Specifically:

  • User-level license consumption
  • Dormant accounts and underutilized apps
  • Provisioning/deprovisioning mismatches
  • SaaS renewal timelines and risks

It complements technical monitoring tools by adding a governance and financial visibility layer.

Why CloudNuro.ai Complements Infrastructure Monitoring Tools

While platforms like Datadog and Dynatrace give deep insights into CPU usage, packet loss, or container errors, they do not track how licenses are being used, who is using what app, or where cost leaks exist.

It is where CloudNuro.ai shines:

License Governance
CloudNuro shows which users are consuming licenses and which are inactive or overprovisioned.

Usage Visibility
See app usage trends across business units and understand genuine engagement.

Renewal Intelligence
Stay ahead of renewals with real-time alerts on upcoming SaaS contract expirations, user counts, and usage justification.

Access Compliance
Detect orphaned accounts, misaligned roles, and unauthorized users for key SaaS platforms like Microsoft 365, Salesforce, Okta, and Zoom.

By pairing infrastructure monitoring tools with CloudNuro.ai, CIOs and IT leaders gain complete oversight—both technical and operational.

Conclusion + CTA

Modern IT infrastructures span across clouds, regions, devices, and microservices. Infrastructure monitoring is no longer optional- it's critical to maintain performance, reduce downtime, and meet compliance obligations.

The tools featured in this 2025 guide offer robust, scalable, and AI-enabled observability to empower IT operations teams to:

  • Proactively detect and resolve issues
  • Maintain SLA commitments
  • Align with DevOps and ITSM processes
  • Enable better executive visibility

But don’t stop at technical health alone.

👉 Ready to extend your observability into SaaS usage, spending, and governance?
CloudNuro.ai adds the missing link—SaaS and license intelligence—giving you complete control over your digital environment.

➡️ Book a Free Demo and see how CloudNuro can complement your infrastructure monitoring strategy.

Table of Content

Start saving with CloudNuro

Request a no cost, no obligation free assessment —just 15 minutes to savings!

Get Started

Table of Content

Introduction

IT infrastructure is no longer confined to a single on-premises environment in today's digital-first enterprises. Organizations run mission-critical applications across cloud platforms like AWS, Azure, and GCP, along with on-prem servers, edge devices, and hybrid workloads. As complexity rises, so do the risks—outages, performance bottlenecks, and compliance lapses can hinder productivity and erode customer trust.

Modern infrastructure monitoring software enables IT teams to gain unified visibility across servers, containers, VMs, databases, cloud services, and networks—identifying issues before they impact end-users. With AI/ML-powered anomaly detection, deep analytics, and real-time alerting, these platforms help organizations proactively manage system health, meet SLAs, and improve uptime.

This 2025 guide breaks down the top 10 infrastructure monitoring tools that help IT Ops, SREs, and DevOps teams stay ahead of problems, ensure system resilience, and support business continuity.

Why Infrastructure Monitoring Is Critical to IT Operations?

The evolution of IT infrastructure—from bare-metal servers to dynamic hybrid environments—has created new operational challenges:

  • Alert fatigue from poorly configured thresholds.
  • Blind spots across hybrid or multi-cloud systems.
  • Manual log correlation that slows down root cause analysis.
  • Siloed teams, leading to inconsistent data visibility.
  • Compliance risks are due to a lack of auditable performance records.

Benefits of Modern Infrastructure Monitoring

Centralized Observability: Unifies logs, metrics, traces, and events from all infrastructure layers.

Predictive Alerting: AI/ML models detect deviations and alert teams before impact.

Full-Stack Monitoring: Covers network devices, cloud services, apps, databases, and hardware.

Service Dependency Mapping: Visualizes how components interact, aiding RCA.

Governance & SLA Tracking: Tracks uptime availability and supports regulatory audits (SOC 2, HIPAA, etc.).

Key Features to Look for in Infrastructure Monitoring Tools

When selecting an infrastructure monitoring platform, prioritize tools that offer:

  • Agent-based and Agentless Monitoring: Flexibility to collect telemetry based on asset type.
  • Unified Dashboards: Real-time insights across hybrid cloud environments.
  • AIOps for Alert Management: AI/ML models to reduce noise and prioritize incidents.
  • Application Dependency Mapping: Understand the impact radius of any issue.
  • Role-Based Access Control (RBAC): Granular permissions for teams, tenants, or business units.
  • Auto-Discovery and Configuration Mapping: Quickly onboard devices or services with minimal manual setup.
  • Third-Party Integrations: Compatibility with ITSM, DevOps, cloud providers, and security tools.
  • Compliance Readiness: Support generating reports aligned to PCI-DSS, ISO 27001, HIPAA, NIST, etc.

Top 10 IT Infrastructure Monitoring Tools for 2025

Datadog

Overview: Datadog provides cloud-native infrastructure monitoring with real-time dashboards, AI-powered alerts, and full-stack observability across cloud, containers, and on-prem systems.

Pros:

  • Seamless integration with 600+ technologies.
  • AIOps-driven root cause analysis.

Cons:

  • It can get expensive at scale.
  • The learning curve for customization.

User Ratings:

  • G2 Rating: 4.4/5 (547 reviews)
  • Gartner Rating: 4.5/5 (300 reviews)

Screenshot:

Picture 650617735, Picture

SolarWinds Hybrid Cloud Observability

Overview: SolarWinds offers a robust suite for monitoring servers, networks, and hybrid environments, supporting traditional IT infrastructure.

Pros:

  • Comprehensive SNMP and NetFlow support.
  • Real-time topology mapping.

Cons:

  • UI feels dated.
  • Better suited for mid-sized and large on-prem deployments.

User Ratings:

  • G2 Rating: 4.3/5 (782 reviews)
  • Gartner Rating: 4.5/5 (95 reviews)

Screenshot:

Picture 1292318916, Picture

Dynatrace

Overview: Dynatrace uses Davis AI to deliver predictive, automated observability for infrastructure, apps, security, and user experience.

Pros:

  • Advanced AIOps and automation.
  • Strong security observability.

Cons:

  • Expensive for SMBs.
  • It is complex to configure initially.

User Ratings:

  • G2 Rating: 4.5/5 (1332 reviews)
  • Gartner Rating: 4.6/5 (1672 reviews)

Screenshot:

Picture 416508485, Picture

LogicMonitor

Overview: LogicMonitor is a SaaS-based platform offering unified monitoring for networks, cloud, servers, and more with 2,000+ integrations.

Pros:

  • Rapid deployment and auto-discovery.
  • Good for MSPs and hybrid cloud orgs.

Cons:

  • UI can be overwhelming.
  • Limited customization for SLA dashboards.

User Ratings:

  • G2 Rating: 4.5/5 (628 reviews)
  • Gartner Rating: 4.4/5 (178 reviews)

Screenshot:

Picture 1176767292, Picture

Zabbix

Overview: Zabbix is an open-source enterprise-grade platform for infrastructure monitoring with strong community support.

Pros:

  • There are no licensing costs.
  • Highly customizable.

Cons:

  • Requires Linux expertise.
  • Lacks modern UI features.

User Ratings:

  • G2 Rating: 4.3/5 (193 reviews)
  • Gartner Rating: 4.6/5 (327 reviews)

Screenshot:

Picture 2139168447, Picture

New Relic

Overview: New Relic delivers infrastructure + APM monitoring with real-time telemetry, synthetic checks, and full-stack visibility.

Pros:

  • Deep developer observability.
  • Great for CI/CD and DevOps workflows.

Cons:

  • The pricing model is complex.
  • Limited alert customization.

User Ratings:

  • G2 Rating: 4.5/5 (511 reviews)
  • Gartner Rating: 4.5/5 (1392 reviews)

Screenshot:

Picture 275684067, Picture

ManageEngine OpManager

Overview: OpManager provides detailed insights into physical/virtual servers, routers, switches, and firewalls with visual mapping.

Pros:

  • Affordable pricing.
  • Deep network monitoring features.

Cons:

  • Less suitable for public cloud.
  • Limited integrations outside the ManageEngine suite.

User Ratings:

  • G2 Rating: 4.6/5 (127 reviews)
  • Gartner Rating: 4.5/5 (954 reviews)

Screenshot:

Picture 1631662931, Picture

Nagios XI

Overview: Nagios XI is a modular, on-prem solution ideal for highly customized IT monitoring setups.

Pros:

  • Strong plugin ecosystem.
  • It's a great alerting engine.

Cons:

  • Manual plugin maintenance.
  • Limited out-of-the-box cloud integrations.

User Ratings:

  • G2 Rating: 4.5/5 (55 reviews)
  • Gartner Rating: 4.4/5 (249 reviews)

Screenshot:

Picture 1804829789, Picture

PRTG Network Monitor

Overview: PRTG uses sensor-based monitoring for servers, networks, VMs, cloud services, and IoT infrastructure.

Pros:

  • Easy to set up and scale.
  • Visual dashboarding.

Cons:

  • Sensor models can become limiting.
  • UI is less modern compared to newer tools.

User Ratings:

  • G2 Rating: 4.6/5 (123 reviews)
  • Gartner Rating: 4.5/5 (807 reviews)

Screenshot:

Picture 1075829274, Picture

CloudNuro.ai

Overview: CloudNuro.ai complements monitoring tools by offering SaaS governance—tracking user access, app usage, licensing, and compliance risks.

Pros:

  • License optimization and renewal insights.
  • SaaS usage audits for compliance.

Cons:

  • Not a technical infra-monitoring tool.
  • No log or metric collection.

User Ratings:

  • G2 Rating: 4.7/5 (9 reviews)
  • Gartner Rating: 4.9/5 (9 reviews)

Screenshot:

Picture, Picture


Tool Comparison Table

Best Practices for Infrastructure Monitoring

To fully leverage your infrastructure monitoring investments, follow these proven best practices:

1. Combine Agent-Based and Agentless Monitoring

Use agentless monitoring for lightweight or temporary assets to reduce overhead. Deploy agents on mission-critical systems where deep telemetry is needed (e.g., CPU metrics, disk I/O, and application processes).

2. Use AI/ML to Reduce Alert Fatigue

Many tools now include AIOps capabilities to detect anomalies, group-related alerts, and auto-remediate known issues. It minimizes alert storms and lets teams focus on high-impact incidents.

3. Create Role-Based Dashboards

Tailor monitoring dashboards for different stakeholders:

  • DevOps → latency and app performance
  • Infra Engineers → server uptime, hardware metrics
  • CIOs → SLA compliance, high-level availability trends

4. Align Monitoring with Incident Management

Integrate your monitoring tool with ITSM systems like ServiceNow, Jira Service Management, or PagerDuty. It enables seamless alert-to-incident workflows and speeds up MTTR.

5. Audit Monitoring Configurations Quarterly

Stale thresholds, missing assets, or redundant sensors can degrade monitoring accuracy. Regularly review configurations and update templates to reflect current infrastructure.

6. Monitor SaaS Apps and Licensing Side-by-Side

While infrastructure monitoring focuses on technical health, it’s equally important to watch SaaS app usage, licensing waste, and user access risks. A governance tool like CloudNuro.ai helps complete the picture.

FAQs

Q1: What’s the difference between infrastructure monitoring and observability?

Infrastructure monitoring involves tracking the performance of system components like servers, networks, and storage.
Observability includes this but incorporates logs, metrics, traces, and service relationships to enable root cause analysis.

Q2: Can I monitor both cloud and on-prem infrastructure with these tools?

Yes. Most leading tools (like Datadog, Dynatrace, and LogicMonitor) support hybrid and multi-cloud environments, offering unified dashboards regardless of deployment location.

Q3: How do AIOps capabilities help with infrastructure monitoring?

AIOps uses machine learning to:

  • Detect performance anomalies
  • Correlate related alerts
  • Predict failures
  • Automate incident response
    It reduces manual workload and improves uptime.

Q4: What does CloudNuro.ai monitor?

CloudNuro.ai monitors SaaS and cloud application usage. Specifically:

  • User-level license consumption
  • Dormant accounts and underutilized apps
  • Provisioning/deprovisioning mismatches
  • SaaS renewal timelines and risks

It complements technical monitoring tools by adding a governance and financial visibility layer.

Why CloudNuro.ai Complements Infrastructure Monitoring Tools

While platforms like Datadog and Dynatrace give deep insights into CPU usage, packet loss, or container errors, they do not track how licenses are being used, who is using what app, or where cost leaks exist.

It is where CloudNuro.ai shines:

License Governance
CloudNuro shows which users are consuming licenses and which are inactive or overprovisioned.

Usage Visibility
See app usage trends across business units and understand genuine engagement.

Renewal Intelligence
Stay ahead of renewals with real-time alerts on upcoming SaaS contract expirations, user counts, and usage justification.

Access Compliance
Detect orphaned accounts, misaligned roles, and unauthorized users for key SaaS platforms like Microsoft 365, Salesforce, Okta, and Zoom.

By pairing infrastructure monitoring tools with CloudNuro.ai, CIOs and IT leaders gain complete oversight—both technical and operational.

Conclusion + CTA

Modern IT infrastructures span across clouds, regions, devices, and microservices. Infrastructure monitoring is no longer optional- it's critical to maintain performance, reduce downtime, and meet compliance obligations.

The tools featured in this 2025 guide offer robust, scalable, and AI-enabled observability to empower IT operations teams to:

  • Proactively detect and resolve issues
  • Maintain SLA commitments
  • Align with DevOps and ITSM processes
  • Enable better executive visibility

But don’t stop at technical health alone.

👉 Ready to extend your observability into SaaS usage, spending, and governance?
CloudNuro.ai adds the missing link—SaaS and license intelligence—giving you complete control over your digital environment.

➡️ Book a Free Demo and see how CloudNuro can complement your infrastructure monitoring strategy.

Start saving with CloudNuro

Request a no cost, no obligation free assessment —just 15 minutes to savings!

Get Started

Save 20% of your SaaS spends with CloudNuro.ai

Recognized Leader in SaaS Management Platforms by Info-Tech SoftwareReviews

Thank you! Your submission has been received!
Oops! Something went wrong while submitting the form.