Managing cloud, virtual machines, and container performance from separate dashboards drains engineering time and budget. For DevOps teams managing complex environments, a scalable infrastructure monitoring tool isn’t optional; it’s essential. 

From resource utilization to alert thresholds, knowing what to track and which platform to trust can make all the difference in uptime and performance.

List of The Best Infrastructure Monitoring Tools

1. ​​Kloudfuse

2. Datadog Infrastructure Monitoring

3. New Relic

4. Dynatrace

5. Grafana Cloud

6. LogicMonitor

7. Splunk Observability Cloud

8. Zabbix

9. Prometheus

10. Nagios XI

1. Kloudfuse

Best for: Engineering and DevOps teams looking for a single platform that combines infrastructure monitoring, backend performance, and frontend visibility, without giving up data control.

Kloudfuse combines infrastructure observability, application performance monitoring, and real user monitoring (RUM) in one platform, without separate tools or siloed dashboards. Everything runs through a unified observability data lake, making connecting logs, metrics, traces, and profiling easier for faster debugging and better decisions.

Built for cloud-native and container environments, Kloudfuse helps avoid bad resource management, keeps systems running at optimal performance, and gives SREs and developers complete visibility, from backend issues to frontend load times.

Pros

• Combines infrastructure and application monitoring in one place

• Built-in AI/ML analytics for faster detection of performance issues

• Deployed inside your VPC for tighter cost control and compliance with security standards

• Flat, predictable pricing with no data egress costs or user-based licenses

• Supports open data formats: OpenTelemetry, SQL, PromQL, TraceQL, and LogQL

Cons

• Requires cloud/VPC setup, which may take longer than typical SaaS tools

Noteworthy Features 

• Unified Observability Data Lake: Collects metrics, logs, traces, real user monitoring (RUM), and continuous profiling in one system, no need for separate tools or duplicate data pipelines.

  
  

• AI-Driven Analysis with K-Lens: Automatically detects unusual behavior, flags outliers, and cuts through noise to help your team focus on what actually needs attention.

  
  

• Log Fingerprinting: Automatically groups similar logs by separating static and dynamic parts, cutting duplicates, and spotting anomalies faster. This boosts storage efficiency and speeds up searches during troubleshooting.

  
  

• FuseQL for Flexible Queries: Run detailed searches and deep diagnostics using a custom query language designed for more complex operations, scale, and speed, while the platform is still open to queries from PromQL, LogQL, TraceQL, SQL, and GraphQL.

  
  

• Analytics, ML, and AI: Uses unsupervised machine learning and clustering algorithms to detect anomalies, highlight root causes, and link related signals across high-volume telemetry, all without rigid manual thresholds.

Plans & Pricing

Kloudfuse offers a flat-rate pricing model without overage charges, data egress fees, or per-seat licenses. Pricing is based on usage tiers (S–XL), and customers can leverage their own cloud credits and discounts. 

What Customers Say

Companies across industries rely on Kloudfuse to simplify observability, eliminate tool sprawl, and unify visibility across infrastructure, applications, and frontend performance.

Tata 1mg shared that Kloudfuse helps them detect slowdowns earlier and resolve issues faster, without juggling five separate tools. They also saved 40% in costs, despite a 2X increase in data volumes.

Innovaccer reported improved cross-team visibility, leading to a 50% drop in customer report issues, a 23% reduction in MTTR, and a noticeable drop in observability-related costs after switching to Kloudfuse.

Eltropy saw over a 90% reduction in debugging time, even as their data volumes grew, while keeping observability costs stable.

Explore more customer success stories from leading companies on the Kloudfuse customers page.

2. Datadog Infrastructure Monitoring 

Best For: Teams that want a hosted platform with broad cloud monitoring support and prebuilt integrations, but don’t require full control over their observability stack.

Datadog Infrastructure Monitoring offers visibility into physical servers, virtual machines, and services across cloud environments. It supports hybrid deployments and helps DevOps teams keep track of infrastructure health through customizable dashboards and tagging-based metric filtering. It’s primarily known for its extensive integrations and hosted setup, making it suitable for teams looking to avoid self-hosted complexity.

Pros

• Large integration library

• Flexible dashboard options

• Decent visualization for system metrics

Cons

• Costs rise quickly at scale

• Limited data control in a hosted model

• Setup can feel heavy with agent-based monitoring

• Less suited for teams needing VPC deployment or data residency

• Vendor lock-in due to proprietary agent and query language, with no clear migration path

Noteworthy Features

• Custom Dashboards & Views: Teams can create customizable dashboards built for their services, environments, and roles, helping organize data for technical and non-technical users.

• Prebuilt Integrations: Supports over 900 prebuilt integrations with cloud services, databases, and third-party tools, though teams may still juggle multiple agents compared to a unified ingestion.

  
  

• Tag-Based Filtering & Analytics: Use tags to group and analyze infrastructure metrics, which is helpful in complex environments with dynamic resource allocation.

• Cloud-Hosted Platform: Fully hosted by Datadog, which reduces internal overhead but offers less flexibility for teams needing full control or on-premises servers.

Plans & Pricing

Datadog offers the following pricing plans:

• Free Plan: $0/month

• Pro Plan: $15 per host/month (billed annually) or $18 on-demand

• Enterprise Plan: $23 per host/month (billed annually) or $27 on-demand

• DevSecOps Pro: $22 per host/month (billed annually) or $27 on-demand

• DevSecOps Enterprise: $34 per host/month (billed annually) or $41 on-demand

What Customers Say

Many engineering teams rely on Datadog to bring together monitoring data from various services and stay on top of cloud infrastructure performance.

Some say they like Datadog for its extensive integration library and ease of onboarding with cloud-based monitoring. Others mentioned its tag-based filtering and flexible dashboards help them tailor views for different teams and environments.

However, users often point out rising costs and extra effort needed to maintain agent-based monitoring across larger systems as usage scales.

Explore more on Datadog’s official customer page.

3. New Relic

Best For: Teams looking for basic infrastructure monitoring with application-level visibility under a user-based pricing model.

New Relic monitors cloud infrastructure, servers, and apps under one platform. It tracks CPU usage, memory usage, and other key system metrics through customizable dashboards and alerting features. It’s generally used by teams looking for a straightforward entry point for monitoring, but it may need upgrades for full functionality.

Pros

• Flexible user-based pricing

• Basic log and metric visibility

Cons

• Short data retention on lower tiers

• Pricing increases with usage

• Limited visibility in hybrid environments

Noteworthy Features

• System Metric Tracking: Captures common infrastructure signals like disk usage, memory, and CPU across cloud-hosted machines.

  
  

• Log Management: Collects logs from multiple sources and helps with incident management tools and debugging.

  
  

• Custom Dashboards: Offers visualization tools for monitoring performance metrics in a format that teams can modify to fit their workflows.

  
  

• Threshold Alerts: Teams can create alerts based on configurable thresholds for detecting performance bottlenecks or CPU spikes.

Plans & Pricing

New Relic offers 4 pricing plans:

• Free Plan 

• Standard

• Pro

• Enterprise 

For more details, reach out to their customer support teams. 

What Customers Say

Companies often turn to New Relic for a quick way to monitor basic cloud infrastructure and applications without needing a lot of initial setup. Some say they like the single dashboard for seeing metrics and logs together, especially in smaller or early-stage teams.

Others mention upgrading to access extended metric retention or more detailed monitoring. Teams managing larger setups have pointed out challenges around rising cost and platform complexity when moving beyond the basics.

For more customer feedback, visit their customer page.

4. Dynatrace  

Best For: Companies that want automated monitoring across hybrid environments, emphasizing AI-assisted root cause analysis, don’t need complete control over hosting or data storage.

Dynatrace offers infrastructure monitoring that combines AI-powered observability with automated discovery. It provides visibility into cloud services, virtual machines, and network devices, aiding DevOps teams in identifying performance metrics and potential issues. While it offers a range of features, some users find the platform's complexity challenging in complex environments.

Pros

• Automated mapping of infrastructure

• Connects with major cloud providers

• AI-powered issue detection

Cons

• Learning curve for deeper usage

• Limited flexibility in dashboard management

• High cost as usage grows

• Fewer controls for manual threshold tuning

Noteworthy Features

• Cloud Service Monitoring: Uses built-in automation to detect irregular behavior across infrastructure and flag potential issues before they grow.
  
  
  

• Cloud Infrastructure Support: Integrates with AWS, Azure, and GCP to provide monitoring across distributed and cloud-native environments.

  
  

• Centralized Dashboards: Offers unified views for performance metrics, though advanced customization options are limited.

  
  

• Alert Management: Supports basic alerts on performance metrics, but users report occasional noise in dynamic environments.

Plans & Pricing

Dynatrace offers the following pricing plans: 

• Infrastructure Monitoring: $0.04/hour per host

• Full-Stack Monitoring: $0.08/hour for an 8 GiB host

• Kubernetes Platform Monitoring: $0.002/hour per pod

What Customers Say

Teams often choose Dynatrace for its automated setup and built-in intelligence for detecting bottlenecks. Some say it reduces manual setup time across cloud computing services. Many users mention a steep learning curve when configuring alert rules or customizing their dashboards. Others feel pricing can escalate quickly, especially in larger, complex environments.

You can read more on Dynatrace’s customer stories page.

5. Grafana Cloud  

Best For: Teams that prefer an open-source foundation with basic infrastructure monitoring tools and the ability to build custom dashboards through plugins. 

Grafana Cloud is a managed version of the Grafana stack that helps teams monitor cloud services, virtual machines, and container environments. It combines metrics, logs, and traces into one view, and supports a wide range of plugins for data sources. It’s often used by teams who want to build their own monitoring systems, though setting it up for complete visibility can take time and effort.

Pros

• Good dashboard customization

• Wide integration ecosystem

• Open-source base

Cons

• Manual setup for full observability

• Learning curve for new users

• Extra fees for usage and longer retention

• Requires plugins for log management and tracing

Noteworthy Features

• Customizable Dashboards: Teams can create dashboards from different data sources to track cloud resource utilization, system health, and application performance.

  
  

• Log Aggregation with Loki: Offers basic, practical log management tools, although the setup depends on external tools and integrations.

  
  

• Tracing with Tempo: Visualizes request traces to help identify performance bottlenecks, though it is more suited for simple workflows.

  
  

• Plugin Ecosystem: Supports various integrations for services, network devices, and cloud computing services.

Plans & Pricing

Grafana Cloud offers 4 pricing options:

• Free: $0/month

• Pro: Starts at $19/month

• Advanced: Starts at $299/month

• Enterprise: Custom 

What Customers Say

Customers say they like Grafana Cloud's flexibility with custom dashboards and plugin options. It’s often used by teams that want to piece together their own infrastructure monitoring tools using open-source components. 

However, many also mention that setting up full monitoring, especially for logs, traces, and alerts, can take longer and depends on managing multiple tools. Explore more from Grafana’s customer page. 

6. LogicMonitor

Best For: Teams that want agentless infrastructure monitoring tools for managing hybrid environments, with automated discovery and basic cloud visibility.

LogicMonitor offers a SaaS-based platform that provides visibility into cloud infrastructure monitoring, network devices, and virtual machines. It emphasizes automated resource discovery and dynamic topology mapping, aiding DevOps teams in managing complex environments. While it offers a range of features, some users find the platform's customization options limited in dashboard management.

Pros

• Agentless monitoring

• Automated resource discovery

• Integration with major cloud providers

Cons

• Limited dashboard customization

• Higher cost for extended data retention

• Steeper learning curve for new users

• Less flexibility in custom metrics configuration

Noteworthy Features

• Cloud Integration: Supports monitoring across various cloud computing services, including AWS, Azure, and GCP.

  
  

• Topology Mapping: Visualizes relationships between infrastructure components, aiding in performance metrics analysis.

  
  

• Dynamic Thresholds: Adjusts alert thresholds based on historical data to reduce false positives.

  
  

  

• Log Analysis: Collects and analyzes logs for incident management tools and troubleshooting.

  
  

Plans & Pricing

LogicMonitor offers the following plans:

• Infrastructure monitoring: $22 per device/month

• Cloud IaaS monitoring: $22 per device/month

• Wireless Access Points: $4 per resource/month

• Cloud PaaS & container monitoring: $3 per resource/month

• Log Intelligence: Starts at $2.50 per GB/month (varies by retention period)

For more plans, reach out to their team and get a quote. 

What Customers Say

Many teams choose LogicMonitor for its agentless setup and ease of deployment across cloud-native and on-premises servers. Customers mention that it simplifies early monitoring and helps with automated device discovery. At the same time, users say more control over dashboard management and alerting rules would improve the experience, especially in setups with frequent system changes or more granular monitoring needs. 

Read more on LogicMonitor’s customer stories. 

7. Splunk Observability Cloud 

Best For: Teams that want to track infrastructure, app performance, and logs in one place, without hosting the system themselves.

Splunk Observability Cloud is a hosted platform that brings together metrics, logs, and traces, intending to help teams working across cloud-native or containerized applications understand system behavior in near real-time. Companies with fast-moving engineering environments often adopt it, though the amount of data it handles can make pricing and alert tuning tricky, especially as systems scale.

Pros

• Hosted setup with little infrastructure overhead

• Data correlation across metrics, logs, and traces

• Built-in support for cloud platforms

Cons

• Alerting can be noisy in high-volume systems

• Setup complexity in larger orgs

• Cost grows quickly with usage

• Less flexible for self-hosted or VPC-based teams

• Custom dashboard options can feel limited

Noteworthy Features

• Unified Monitoring Interface: Combines infrastructure metrics, logs, and traces into a single view, which is helpful for quick performance review.

  
  

• Synthetic Monitoring: Simulates user actions to test frontend performance, but deeper RUM data may require integrations.

• Built-In Alert Rules: Offers prebuilt conditions for basic performance metrics, though users often tune them to avoid false alarms.

  
  

• Integrations with Cloud Services: Compatible with AWS, Azure, and GCP to monitor usage across distributed systems.

Plans & Pricing

Visit Splunk Observability Cloud’s official website to get an estimated quote. 

What Customers Say

Some teams say they use Splunk Observability Cloud to keep logs, traces, and cloud metrics in one place without managing infrastructure. They like the ability to troubleshoot across services, but note that handling large data volumes can make alerting noisy and costs harder to manage. Others mention wanting more flexibility with custom metrics and dashboards, especially in complex environments. For more insights, visit Splunk's customer stories.

8. Zabbix 

Best For: Teams needing detailed server and network monitoring in a self-hosted, open-source tool, with in-house expertise to maintain it.

Zabbix is mainly known for monitoring network devices like routers, switches, and firewalls, helping teams keep data centers stable and secure. It also covers server performance and basic infrastructure metrics through user-defined templates and manual setup. While it offers flexibility for on-prem environments, scaling Zabbix across hybrid or cloud-native stacks requires time and technical skills, unlike unified platforms.

Pros

• No licensing cost for self-hosted setups

• Works well for network-heavy environments

• Lots of community-contributed templates

Cons

• Manual configuration for most components

• UI feels dated for some users

• Requires in-house expertise to maintain

• Limited out-of-the-box support for frontend monitoring or advanced log analysis

Noteworthy Features

• Custom Templates & Scripts: Offers user-defined templates for specific applications, though building and updating them requires manual setup.

  
  

• Alerting Engine: Teams can define configurable thresholds, but false alerts can occur without careful tuning.

  
  

• Dashboard & Graphs: Provides basic visualization tools for key metrics like disk usage, CPU load, and uptime.

  
  

• Self-Hosted Control: Fully deployable on your own infrastructure, making it attractive for teams that comply with security standards or internal hosting needs.

Plans & Pricing

Contact Zabbix’s team to get a custom quote. 

What Customers Say

Zabbix users often say they value the freedom to customize their own monitoring systems and the platform’s cost-free nature for self-hosting. It’s especially popular with teams that have strong networking skills. But, many also mention the learning curve, and that getting a full view of cloud services, frontend monitoring, or incident management tools often requires additional setup or scripting.

More feedback is available on Zabbix’s customer stories.

9. Prometheus 

Best For: Teams with in-house experience who prefer a self-managed infrastructure monitoring tool built around time-series data.

Prometheus is an open-source monitoring system that collects performance metrics from applications, servers, and cloud-native environments. It works well in setups where teams want to define their own metrics, build alerts, and store short-term data locally. However, getting full observability often requires combining it with other tools for log management, synthetic monitoring, or application performance tracking.

Pros

• Free to run and open-source

• Works well for custom metrics

• Lightweight and portable

Cons

• Doesn’t support logs or traces natively

• Limited visualization tool capabilities without Grafana

• Setup requires manual configuration

• Long-term storage isn’t built-in

Noteworthy Features

• Metric-Only Design: Focuses on time-series metrics, which are collected from apps or systems, but no logs, traces, or dashboards are included.

• PromQL Query Language: Lets users extract trends, track usage, or define conditions across resource utilization, CPU load, and disk usage, but not unified across data types.

• Service Discovery: Automatically discovers services running in container environments, but lacks profiling or RUM.

• Integration with Grafana: Often paired with Grafana Cloud to create customizable dashboards since Prometheus alone has a limited UI.

Plans & Pricing

The self-hosted Version of Prometheus is free for users. For more information, contact their customer support.

What Customers Say

Users say they like Prometheus when they need a flexible, no-cost way to track custom metrics across cloud environments and virtual machines. It’s commonly used in Kubernetes setups and paired with other tools to complete the stack. Some also mention that managing alerting, storage, and dashboards takes extra effort, especially for hybrid environments or growing infrastructure.

10. Nagios XI  

Best For: IT teams that want a traditional, self-hosted infrastructure monitoring tool to track internal systems and devices with plugin flexibility.

Nagios XI is a paid solution built on the open-source Nagios Core. It’s designed for teams that want to monitor network devices, servers, and on-prem infrastructure through manual configurations and plugins. Often used in legacy-heavy environments, it’s known for its alerting controls and custom monitoring plugins. However, getting it up and running can take time, especially for teams managing more hybrid environments or cloud-native setups.

Pros

• Wide plugin availability

• Good fit for legacy infrastructure

• Supports manual monitoring configurations

Cons

• Requires technical setup and maintenance

• Basic UI compared to newer platforms

• Cloud monitoring is limited without plugins

• May not scale easily for modern container environments

Noteworthy Features

• Manual Monitoring Setup: Teams can define precisely what they want to monitor across servers, databases, or network devices, though setup is mainly done manually.
  
  

  

• Monitoring Plugins: Supports a wide selection of custom monitoring plugins, allowing visibility into systems like web servers, hardware, and services.

  
  

• Manual Dashboards: Offers simple views into resource utilization, status checks, and performance metrics, but lacks dynamic customization.

  
  

• Alerting Rules: Alerts can be configured on critical thresholds, but may require scripting for advanced workflows or incident management tools.

  
  

Plans & Pricing

• Free: $0 (7-node license)

• Standard: Starts with $2,495 (100-node license)

• Enterprise: Starts with $4,490 (100-node license)

• Sitewide: Available based on requirements

What Customers Say

Some IT teams say they turn to Nagios XI because it gives them control over monitoring systems in setups where cloud adoption is still limited. Users note the wide range of available plugins and scripting flexibility. However, many mention that setup takes time, and keeping up with modern environments like Kubernetes or cloud infrastructure monitoring can mean adding extra layers or tools.

More feedback is available on Nagios XI customer stories.

Key Considerations When Choosing an Infrastructure Monitoring Tool

Choosing the right infrastructure monitoring tool depends on how well it fits your environment, technically, operationally, and financially.

Here’s what to consider when evaluating your options:

1. Coverage

Start by evaluating whether the tool supports full cloud infrastructure monitoring while also handling on-prem systems, virtual machines, and hybrid environments. Many teams juggle multiple disconnected tools just to monitor frontend and backend performance, leading to blind spots and slower troubleshooting.

2. Data Correlation

Surface-level charts aren’t enough. A strong monitoring platform should tie performance metrics to supporting data, like logs, traces, or events, to help teams connect technical issues to user impact and streamline their incident management process.

3. Configuration

Your setup shouldn’t drain resources. Some tools need extensive manual configuration, third-party plugins, or agent installs. Look for native support for custom metrics, dashboard management, and alert thresholds, ideally without weeks of tuning.

4. Pricing

Unpredictable costs can derail scaling. Tools that charge per user, per GB, or per dashboard often lead to budget friction. Transparent pricing models that align with real usage are easier to forecast and manage.

Among all the available options, only a few monitoring platforms combine deep visibility, customizable dashboards, predictable pricing, and strong support for cloud services and resource utilization. Picking one that does all of this, without piling on complexity, will make a measurable difference in how quickly your team can detect, understand, and resolve issues.

Why Kloudfuse Stands Out

Kloudfuse isn’t just an infrastructure monitoring tool; it brings infrastructure observability, application performance monitoring, and frontend visibility into one platform. That means fewer gaps, fewer context switches, and fewer tools to manage.

With support for metrics, logs, traces, RUM, profiling, and events, Kloudfuse gives engineering teams a complete picture, from backend bottlenecks to frontend load times. It’s built for hybrid environments, supports over 700 sources, and runs inside your VPC for full control and compliance.

Whether you’re tracking performance metrics, managing uptime, or debugging real-world issues, Kloudfuse offers customizable dashboards, anomaly detection, and incident management tools, without the noise.

No per-seat licenses. No surprise overages. Just unified observability with predictable flat pricing.

Curious how it fits your infrastructure? Test-drive Kloudfuse in your own setup. Try it free or schedule a guided demo for your team.