Monday, July 28, 2025

10 Best Cloud Monitoring Tools in 2025

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Cloud monitoring tools are essential for maintaining cloud-based services and applications’ performance, availability, and security.

These tools provide real-time visibility into cloud infrastructure, enabling monitoring metrics such as resource utilization, application performance, and network traffic.

Cloud monitoring tools help identify and resolve issues quickly by offering customizable dashboards and alerts, ensuring optimal operation.


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They often integrate with various cloud platforms like AWS, Azure, and Google Cloud, providing a unified view of multi-cloud environments.

Additionally, advanced analytics and reporting capabilities aid in capacity planning, compliance, and performance optimization, making them vital for efficient cloud management.

A cloud monitoring tool monitors the performance, availability, and security of cloud infrastructure, platforms, and applications. 

It provides visibility into the health and usage of cloud resources. Some examples of cloud monitoring tools are DataDog, New Relic, AppDynamics, Dynatrace, etc.

An example of a cloud monitoring tool is Amazon CloudWatch, which offers monitoring and management services for resources hosted on Amazon Web Services (AWS).

It provides real-time monitoring of metrics, logs, and events for AWS resources like EC2 instances, RDS databases, and Lambda functions.

What Is An Example Of Cloud Monitoring?

An example of cloud monitoring is tracking metrics of a cloud-based virtual machine’s CPU usage, memory usage, disk usage, bandwidth, etc. The monitoring tool can alert you if these metrics exceed a threshold so you can take action.

It provides insights into better-managing cloud resources. Microsoft Azure’s Azure Monitor service is an example of cloud monitoring.

Azure Monitor is a comprehensive monitoring solution that enables administrators to monitor the performance and availability of Azure resources like virtual machines, databases, and applications. 

It provides real-time insights into metrics like CPU usage, memory usage, and network traffic, as well as logs and events generated by Azure resources. 

Why Use Cloud Monitoring?

Cloud monitoring is crucial for organizations that rely on cloud-based applications and infrastructure. It enables administrators to monitor the performance and availability of cloud-based resources in real-time. 

This helps them identify and resolve issues quickly, minimizing downtime and ensuring the high availability of applications and infrastructure.

Cloud monitoring ensures that cloud-based applications and resources perform optimally and are available to end users. It enables administrators to identify and resolve issues quickly, minimize downtime, and optimize resource utilization. 

Additionally, cloud monitoring helps organizations meet compliance requirements, providing visibility into the security and performance of cloud-based resources.

Monitoring tools are software applications or services that enable administrators to track and analyze the performance of various systems and applications.

These tools collect and analyze data from various sources, such as logs, metrics, and events, and provide insights into system performance and availability. Monitoring tools refer to various tools that monitor different aspects of systems and applications.

Examples include application performance monitoring (APM) tools, network monitoring tools, infrastructure monitoring tools, and security monitoring tools. 

What Is Cloud Monitoring, With An Example?

“Cloud monitoring” refers to monitoring cloud resources’ performance, availability, and health. It helps ensure that cloud services work optimally and provides insights to manage resources better.

For example, Google Cloud Monitoring provides real-time visibility into the performance and availability of resources hosted on the Google Cloud Platform (GCP).

It enables administrators to monitor metrics like CPU utilization, memory usage, and network traffic and set up alerts to notify them of any issues.

Cloud monitoring tracks and analyzes cloud-based applications and infrastructure performance and availability. Cloud monitoring tools specifically monitor the cloud infrastructure and the applications and services running on it.

What Is “Cloud Monitoring” In GCP?

In GCP, cloud monitoring refers to monitoring the performance and availability of resources hosted on the Google Cloud Platform. 

Google Cloud Monitoring provides a unified monitoring experience for GCP resources, allowing administrators to monitor metrics, logs, and events across multiple services, such as Compute Engine, Kubernetes Engine, and Cloud Storage.

An example of cloud monitoring in Google Cloud Platform is using Stackdriver. It provides metrics, dashboards, alerting, logging, and performance analysis to monitor GCP resources.

You can monitor metrics for Google Compute Engine VMs, Google Kubernetes Engine, Google Cloud Storage, App Engine, etc.

What Is Cloud Logging Vs. Monitoring?

Cloud logging collects, analyzes, and stores logs generated by cloud-based applications and resources. Cloud monitoring, on the other hand, is focused on tracking the performance and availability of those resources. 

Cloud monitoring helps administrators prevent issues affecting end users, while logging helps them debug and understand resource consumption. A complete cloud management plan requires cloud logging and monitoring.

  1. IBM Turbonomic: Automates resource management and optimization for the cloud, ensuring performance and cost efficiency.
  2. LogicMonitor: Provides comprehensive cloud infrastructure monitoring with real-time insights and customizable dashboards.
  3. Site24x7: Offers end-to-end cloud monitoring, including application performance, server health, and user experience.
  4. Oracle Infrastructure Monitoring Cloud Service: Monitors Oracle Cloud and on-premises infrastructure, providing detailed metrics and alerts.
  5. Google Cloud Operations: Integrates logging, monitoring, and diagnostics for Google Cloud services and applications.
  6. F5 Distributed Cloud App Infrastructure: Enhances visibility and security for applications across multi-cloud environments.
  7. CloudGuard Intelligence: Provides advanced threat detection and posture management for cloud environments.
  8. Splunk Infrastructure Monitoring: Delivers real-time performance monitoring with AI-driven analytics for cloud infrastructure.
  9. Sumo Logic: Offers continuous intelligence and unified monitoring for cloud applications and infrastructure.
  10. InsightVM: Focuses on vulnerability management and risk assessment for cloud and on-premises environments.
Top 10 Cloud Monitoring Tools Features Stand Alone Feature Pricing Free Trail / Demo
1. IBM Turbonomic 1. Continuous resource optimization.
2. AI-powered insights.
3. Real-time performance monitoring.
4. Multi-cloud and hybrid cloud support.
5. Automated actions.
Automated resource management and optimization. Custom pricing, contact sales. Yes
2. LogicMonitor 1. Automated discovery.
2. AI-powered observability.
3. Real-time performance monitoring.
4. Customizable dashboards & reporting.
5. Easy deployment, agentless architecture.
Comprehensive cloud infrastructure and performance monitoring. Starts at $20 per device. Yes
3. Site24x7 1. All-in-one monitoring.
2. Real-time alerts & root cause analysis.
3. Cloud & multi-location support.
4. Application performance monitoring.
5. Automated incident remediation.
Full-stack IT monitoring with AIOps capabilities Starts at $9 per month. Yes
4. Oracle Infrastructure Monitoring Cloud Service 1. Unified visibility.
2. Real-time metrics & alerts.
3. Customizable dashboards.
4. Machine learning insights.
5. Flexible notifications.
Real-time monitoring for Oracle Cloud infrastructure. Custom pricing, contact sales. Yes
5. Google Cloud Operations 1. Unified monitoring and logging.
2. Customizable dashboards & alerts.
3. Advanced observability tools.
4. Centralized log management.
5. Seamless integration.
Integrated monitoring, logging, and diagnostics. Pay-as-you-go pricing model. Yes
6. F5 Distributed Cloud App Infrastructure 1. Unified app delivery and security.
2. Multi-cloud and edge support.
3. Automated lifecycle management.
4. Advanced threat protection.
5. Centralized policy and analytics.
Secure application delivery and performance monitoring. Custom pricing, contact sales. No
7. CloudGuard Intelligence 1. Real-time threat detection.
2. Automated threat hunting.
3. Unified visibility.
4. Auto-remediation.
5. Custom policy & alerting.
Advanced threat intelligence and cloud security. Custom pricing, contact sales. No
8. Splunk Infrastructure Monitoring 1. Real-time visibility.
2. Full-stack observability.
3. AI-powered anomaly detection.
4. Custom dashboards & alerts.
5. Extensive integrations.
Real-time visibility and analytics for infrastructure. Starts at $75 per host. Yes
9. Sumo Logic 1. Cloud-native log management.
2. Real-time analytics.
3. Security and threat detection.
4. Infrastructure and application monitoring.
5. Scalable, flexible architecture.
Continuous intelligence for cloud infrastructure and applications. Starts at $90 per month. Yes
10. InsightVM 1. Live risk scoring.
2. Dynamic asset discovery.
3. Automated remediation projects.
4. Customizable live dashboards.
5. Lightweight endpoint agent.
Vulnerability management and cloud security assessment. Custom pricing, contact sales. Yes

1. IBM Turbonomic

IBM Turbonomic

IBM Turbonomic optimizes cloud resource performance and usage via a management platform and monitoring tool. It continuously monitors, analyzes, and optimizes cloud workloads and resources using AI and ML algorithms.

It collects data, analyzes it, optimizes resources, provides insights, and automates actions to ensure optimal performance and utilization of cloud-based workloads and resources.

It also collects data from various sources, such as cloud infrastructure, applications, and virtual machines.

Based on the analysis, IBM Turbonomic makes real-time decisions on allocating and optimizing cloud-based resources.

It automatically adjusts resource allocation based on workload demand, ensuring optimal performance and utilization.

It offers a dashboard that displays metrics like CPU utilization, memory usage, and network traffic, enabling administrators to monitor the health of their resources and identify issues quickly.

Why Do We Recommend It?

  • Ensures continuous application performance with real-time, automated resource adjustments.
  • Delivers significant cost optimization by reducing over-provisioning and cloud spend.
  • Provides AI-driven, actionable insights for smarter decision-making and resource management.
  • Empowers proactive IT operations through intelligent automation and reduced manual intervention.
  • Offers seamless integration and optimization across multi-cloud and hybrid environments.
What is Good? What Could Be Better?
Automated, AI-powered resource management. User interface can be complex for new users.
Efficient cost optimization for IT spend. Initial setup and configuration require expertise.
Real-time application performance tuning. Advanced features may need more documentation.
Multi-cloud and hybrid integration. Some customization options are limited.
Reduces manual IT intervention and errors. Integration with certain third-party tools can lag.

IBM Turbonomic – Trial / Demo

2. LogicMonitor

LogicMonitor

LogicMonitor is a cloud-based infrastructure monitoring tool that tracks servers, virtual machines, databases, networks, and apps.

It can monitor on-premise and cloud devices (AWS, Azure, GCP) and automatically discover infrastructure like servers, VMs, databases, etc.

LogicMonitor has many pre-built monitoring templates for standard infra and services, such as CPU, memory, disk usage, Nginx, MySQL, etc. These templates have the necessary metrics and thresholds predefined.

It comes with many pre-built dashboards to view the metrics and status of various devices and services. It also exposes a full REST API to manage the infrastructure monitoring programmatically.

It also has many integrations with tools like ServiceNow, Slack, PagerDuty, etc. LogicMonitor alerts on metric thresholds via email, SMS, pages, etc.

The alert dashboard displays and manages all alerts. Many pre-built reports provide infrastructure insights. Schedule regular email reports.

Why Do We Recommend It?

  • Delivers unified observability for on-premises, cloud, and hybrid IT environments in a single platform.
  • Offers highly automated, agentless monitoring with extensive out-of-the-box integrations for rapid deployment.
  • Provides real-time, actionable alerts and deep performance insights that help prevent IT issues before they impact users.
  • Features a scalable SaaS architecture, minimizing administrative overhead and enabling easy management as infrastructure grows.
  • Enables powerful customization of dashboards, alerts, and reports to fit diverse enterprise needs and operational workflows.
What is Good? What Could Be Better?
Unified observability across hybrid IT stack. Pricing transparency is lacking and costs can be high.
Agentless, automated monitoring and discovery. Interface can be complex and has a learning curve.
Wide range of out-of-the-box integrations. Scalability can be challenging in very large setups.
AI-powered alerting to reduce noise. Some features need more flexibility or documentation.
Customizable dashboards and reporting. Integrating with some third-party tools can be difficult.

LogicMonitor – Trial / Demo

3. Site24x7

Cloud Monitoring Tools
Site24x7

Site24x7 is a robust cloud-based monitoring tool for websites, web applications, servers, networks, and IT infrastructure.

It provides a unified view of your systems’ health and performance through a simple, intuitive web console and mobile apps.

To start monitoring, first add the websites, servers, network devices, cloud resources, etc. that need monitoring. It allows a granular configuration of monitoring frequency to suit the exact needs.

Data from all monitoring locations is aggregated and analyzed in real-time to detect performance issues and outage events.

For events that demand immediate action, instant alerts are provided via email, SMS, phone calls, and mobile push notifications.

The maintenance scheduler allows you to pause monitoring during planned outages to avoid unwanted alerts temporarily—integrations with tools like PagerDuty, Opsgenie, Slack, etc.

Why Do We Recommend It?

  • Provides unified monitoring for websites, servers, networks, and applications from a single platform.
  • Offers real-time alerts and proactive issue detection to minimize downtime and business risk.
  • Delivers both real user and synthetic monitoring for end-to-end digital experience insights.
  • Easy to deploy, cloud-native, and highly scalable to match evolving infrastructure needs.
  • Features customizable dashboards, integrations, and mobile access for flexible monitoring and reporting.
What is Good? What Could Be Better?
Unified monitoring for websites, servers, network, and cloud in one platform. User interface can be overwhelming for new users.
Reliable, fast alerts and actionable insights to reduce downtime. Setup and customization of dashboards require a learning curve.
Wide global monitoring coverage and integrations. Report customization could be more flexible.
Root cause analysis and automation for efficient troubleshooting. Mobile app lacks full feature parity with desktop.
Flexible dashboards and status pages for transparency. Support response and incident tracking can be slow.

Site24x7 – Trial / Demo

4. Oracle Infrastructure Monitoring Cloud Service

Oracle Infrastructure Monitoring Cloud Service

Oracle Corporation offers OIMCS, an infrastructure monitoring cloud service. It monitors physical servers, virtual machines, applications, and networks from a single platform.

OIMCS gathers data from servers, apps, and networks. Agents collect data from monitored systems and send it to the OIMCS cloud service for analysis.

After processing the data, insights assist in rapidly identifying and fixing issues. It requires installing and configuring agents on monitored systems.

The OIMCS cloud service analyzes performance data from these agents. OIMCS online console displays performance data and analyzes it to find faults.

OIMCS offers server, network, application, log, and other monitoring capabilities. It also provides customizable alerts for high CPU utilization and low storage space.

OIMCS also provides a range of analytics tools, including dashboards, reports, and visualizations, to help understand and analyze your infrastructure’s performance. 

Why Do We Recommend It?

  • Enables unified, real-time monitoring across on-premises and cloud environments from a single platform.
  • Provides proactive alerts and customizable alarm rules to detect and resolve issues before they impact users.
  • Offers purpose-built dashboards and clear visualizations for comprehensive infrastructure health and performance insights.
  • Supports extensive, heterogeneous monitoring—including hosts, databases, application servers, and more—regardless of vendor.
  • Leverages machine learning and automated analytics to facilitate rapid troubleshooting and optimize infrastructure operations.
What is Good? What Could Be Better?
Unified, real-time monitoring across on-premises and cloud resources. Initial setup and management can be complex for new users.
Flexible integration with third-party tools and existing solutions. User interface is less intuitive and not as polished as some competitors.
Highly customizable dashboards and proactive alerts. Data overload and alert noise can challenge efficient monitoring.
Strong support for Oracle workloads and hybrid environments. Ecosystem and third-party integrations not as extensive as some rivals.
Effective cost control with usage-based pricing. Requires more training to use advanced features and maximize value.

Oracle Infrastructure Monitoring Cloud Service – Trial / Demo

5. Google Cloud Operations

GCP offers Google Cloud Operations (GCO) to monitor cloud resources and applications. It monitors GCP project performance, uptime, and health.

This displays CPU, memory, and network traffic data for all GCP resources. It helps create charts, set alerts on metrics, and more.

Users can set up alerts on metrics so that they get notifications when a metric crosses a threshold. This helps to detect issues early. They can configure alerts for a single resource or group of resources.

GCP defines Service Level Indicators (SLIs) for its services. Operations Monitoring automatically monitors these SLIs and alerts users of any issues.

For example, it can alert users about high CPU usage in Compute Engine VMs or increased latency in BigQuery queries.

It allows configuring uptime checks to regularly ping the HTTP(S) endpoints or TCP ports from multiple locations.

Operations Monitoring will then alert if downtime is detected for those endpoints. This helps to monitor the availability of web applications and services.

Operations Monitoring provides predefined dashboards for many GCP services, such as Compute Engine, App Engine, Cloud SQL, BigQuery, etc. These dashboards give an overview of the health and performance of those services.

Why Do We Recommend It?

  • Delivers unified monitoring, logging, tracing, and alerting for cloud-native and hybrid environments within a single platform.
  • Provides real-time insights and intelligent automation to help quickly detect, troubleshoot, and resolve application and infrastructure issues.
  • Scales effortlessly with your infrastructure, leveraging Google’s globally distributed, highly reliable cloud network for outstanding availability and performance.
  • Offers built-in AI/ML-driven analytics to proactively identify anomalies and optimize operations, ensuring application health and reliability.
  • Integrates seamlessly with Google Cloud services, automating maintenance, improving security, and reducing operational overhead for DevOps and SRE teams.
What is Good? What Could Be Better?
Unified monitoring, logging, and tracing in one integrated suite. Alert and dashboard customization can be complex for beginners.
Real-time insights and proactive, AI-powered alerts. Monitoring costs rise with non-Google Cloud resources.
Seamless integration with Google Cloud services and APIs. Third-party service integration needs broader support.
Scales easily for hybrid, multi-cloud, and on-prem environments. Advanced features require steep learning curve for new users.
Powerful automation and fast troubleshooting capabilities. Initial setup and configuration may take time and expertise.

Google Cloud Operations – Trial / Demo

6. F5 Distributed Cloud App Infrastructure

F5 Distributed Cloud App Infrastructure

F5 Distributed Cloud App Infrastructure Protection (DCAIP) is a cloud monitoring tool offered by F5 Networks. It provides threat detection and mitigation for applications and infrastructure hosted in public and private clouds.

DCAIP discovers and monitors applications and services deployed across cloud environments. It provides a consolidated view of the cloud app inventory, including app topology, configurations, and security risks.

DCAIP continuously checks cloud infrastructure and applications for vulnerabilities. It detects security misconfigurations, API vulnerabilities, weak passwords, threat intelligence, etc.

All major cloud platforms like AWS, Azure, and GCP can contain vulnerabilities. It monitors compliance with standards like PCI DSS, HIPAA, GDPR, etc., for your cloud deployments.

It alerts you about compliance violations and provides reports to help with audits. When a threat is detected, it provides recommendations and tools to help mitigate it.

The dashboard aggregates vulnerabilities, threats, compliance issues, application topology, and other information to give a consolidated view of the security posture.

Why Do We Recommend It?

  • Secures applications and infrastructure across multi-cloud, data center, and edge environments with unified protection.
  • Delivers real-time visibility and deep observability for threat detection and compliance across the entire app stack.
  • Simplifies operations with a centralized SaaS-based console for managing security, networking, and app delivery.
  • Enables seamless, policy-driven app connectivity, orchestration, and migrations across diverse environments.
  • Enhances performance and reduces complexity with integrated automation, machine learning, and managed global services.
What is Good? What Could Be Better?
Unified security and observability for apps across any environment. Initial setup and multi-cloud integration can be complex for some users.
Advanced threat detection with AI, rules, and real-time monitoring. Learning curve for full feature adoption, especially for smaller teams.
Automated DDoS, WAF, bot, and API protection in a single platform. Advanced features and reporting could have more customization options.
Centralized SaaS console and policy management for reduced complexity. Dependence on F5 ecosystem may limit some external tool integrations.
Supports hybrid, multi-cloud, and edge deployments with strong performance. Pricing and licensing can be a barrier for smaller organizations.

F5 Distributed Cloud App Infrastructure – Trial / Demo

7. CloudGuard Intelligence

Cloud Monitoring Tools
CloudGuard Intelligence

CloudGuard Intelligence Monitoring is a cybersecurity solution that provides enhanced threat detection and response capabilities for cloud-based environments.

It utilizes machine learning algorithms and threat intelligence to identify and mitigate security threats in real-time.

The solution is part of Check Point Software Technologies’ CloudGuard suite of products and services designed to provide comprehensive security for cloud-based applications and infrastructures.

It collects data from various sources, including cloud infrastructure, network traffic, and user activity logs.

The data is then analyzed to identify security threats and anomalies. It prevents threats across public cloud environments like AWS, Azure, and GCP.

It detects and blocks threats like malware, botnets, phishing, etc., using Check Point’s threat intelligence and sandboxing technology.

It also continuously monitors cloud environments in real-time, providing alerts and notifications when it detects potential security threats. It also provides actionable insights and recommendations for remediation.

The solution can automatically respond to security threats by blocking malicious traffic or isolating compromised resources, which helps to minimize the impact of security incidents and reduce the time required for incident response.

Why Do We Recommend It?

  • Provides real-time threat detection and automated blocking of cyber threats in cloud environments.
  • Empowers proactive threat hunting and rapid investigation with advanced analytics and intuitive visualization.
  • Delivers automated incident response and remediation to quickly contain and resolve security incidents.
  • Integrates global threat intelligence and AI-driven enrichment to prioritize risks and minimize false positives.
  • Offers unified security coverage across multi-cloud platforms, reducing breach detection time and streamlining operations.
What is Good? What Could Be Better?
Advanced, AI-powered threat detection and automated response. Initial setup and integration can be complex for new environments.
Real-time, actionable insights and proactive alerting. Interface and visualizations may be overwhelming for new users.
Unified visibility across multi-cloud and hybrid deployments. Some third-party integrations could be expanded further.
Intuitive visualization and context-rich threat analysis. Occasional delays in updating/enriching traffic for new assets.
Streamlined remediation and incident response with automation. Support for Kubernetes pod-level traffic visibility is limited.

CloudGuard Intelligence – Trial / Demo

8. Splunk Infrastructure Monitoring

Splunk Infrastructure Monitoring

Splunk Infrastructure Monitoring is a cloud monitoring tool for infrastructure, workloads, and cloud environments. Its analytics and automation capabilities ensure security, compliance, and peak performance.

Splunk collects data from various sources, including servers, network devices, and applications.

The data is collected in real-time, providing up-to-date insights into the performance and availability of infrastructure components.

The solution provides tools and features for root cause analysis, allowing users to quickly identify the cause of performance issues and take corrective action.

Collaboration features such as shared dashboards and alerts allow multiple users to work together to resolve issues.

It provides real-time insights into the performance and availability of infrastructure components, helping organizations to identify and resolve issues before they impact business operations proactively.

Why Do We Recommend It?

  • Enables real-time, full-stack monitoring and instant, actionable alerts to detect and resolve issues before they impact users.
  • Deeply integrates with 300+ cloud services and offers out-of-the-box dashboards for fast, comprehensive visualization.
  • Scales efficiently with hybrid and multi-cloud environments, providing unified observability across all assets.
  • Accelerates troubleshooting and root cause analysis with seamless data correlation, reducing mean time to resolution (MTTR).
  • Supports open standards and delivers flexible, high-performance analytics for proactive infrastructure optimization.
What is Good? What Could Be Better?
Real-time, full-stack monitoring and instant, actionable alerts. Pricing is high, especially as data volume grows.
300+ integrations and extensive out-of-the-box dashboards for rapid setup. Initial setup and configuration can be complex for new users.
Highly customizable dashboards and powerful analytics capabilities. Steep learning curve for advanced features and query building.
Scales efficiently across hybrid and multi-cloud environments. Integration and documentation could be improved.
Reliable, fast alerting with flexible automation and AI features. Customer support and responsiveness can be lacking.

Splunk Infrastructure Monitoring – Trial / Demo

9. Sumo Logic

Sumo Logi

Sumo logic gives real-time insights into cloud-based component performance and availability, assisting enterprises in discovering and fixing issues before they impair business operations.

It provides customizable dashboards and visualizations of the data, allowing users to monitor the health and performance of their cloud-based components quickly, and it also creates custom reports and sets up automated alerts to notify them of issues. 

It monitors on-premises and cloud-based applications. It collects applications’ logs, metrics, traces, and events to provide insights into their health, performance, and issues. 

It provides analytics and dashboards to investigate security incidents and role-based access control to ensure only authorized users can access data and analytics.

Why Do We Recommend It?

  • Delivers unified log analytics, monitoring, and security across multi-cloud and on-premises environments from a single platform.
  • Employs machine learning and advanced analytics for real-time anomaly detection, faster troubleshooting, and proactive insights.
  • Scales seamlessly with a cloud-native, multi-tenant architecture—adapting effortlessly to changing data volumes and business growth.
  • Offers hundreds of out-of-the-box integrations for fast deployment, including for AWS, Azure, GCP, Kubernetes, databases, and more.
  • Features flexible, consumption-based pricing that aligns with actual usage and avoids overprovisioning or hidden costs.
What is Good? What Could Be Better?
Unified platform for logs, metrics, and security analytics. Pricing can increase significantly with data volume growth.
Effortless cloud-native scalability and multi-cloud support. Initial setup and dashboard configuration have a learning curve.
Pre-built dashboards and hundreds of out-of-the-box integrations. Advanced queries and custom parsing can be complex for some users.
Real-time anomaly detection and predictive analytics with ML. Feature-rich UI can be overwhelming for first-time users.
Flexible, consumption-based pricing model and fast onboarding. Documentation and user guidance for advanced features could improve.

Sumo Logic – Trial / Demo

10. InsightVM

Cloud Monitoring Tools
InsightVM

InsightVM, formerly Nexpose, is a cloud-based vulnerability management and assessment tool designed to help organizations identify and remediate security risks across their IT infrastructure.

This cloud monitoring tool uses active scanning, passive tracking, and agent-based discovery to identify all assets within an organization’s network, including physical, virtual, and cloud-based devices.

InsightVM performs comprehensive vulnerability scans to identify potential security risks across all assets and prioritizes identified vulnerabilities based on their severity, exploitability, and potential impact on the organization’s business operations.

It helps organizations track the status of ongoing remediation efforts and provides recommendations for mitigating identified vulnerabilities.

It can also automatically discover hosts, virtual machines, containers, mobile devices, web applications, etc., in the network.

Why Do We Recommend It?

  • Delivers continuous, real-time vulnerability assessment across all environments—cloud, on-premises, remote, and containers.
  • Prioritizes risks with advanced analytics, dynamic risk scoring, and up-to-date threat intelligence.
  • Automates remediation workflows and integrates seamlessly with IT, DevOps, and security tools for rapid response.
  • Offers customizable dashboards, detailed reporting, and live exposure analytics for clear, actionable insights.
  • Scales efficiently and is easy to deploy, providing comprehensive coverage without excessive overhead.
What is Good? What Could Be Better?
Continuous, real-time vulnerability assessment across all assets. Reporting customization could be more granular.
Advanced risk prioritization with dynamic risk scoring. Initial setup and asset discovery can be time-consuming.
Automated remediation workflows and integrations. User interface may feel complex for new users.
Customizable dashboards and detailed analytics for visibility. Some integrations and APIs could benefit from improvements.
Scalable, easy deployment covering cloud, on-prem, and containers. Pricing may be high for larger, distributed organizations.

InsightVM – Trial / Demo

Tarun Chhetri
Tarun Chhetri
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