Best System Monitoring Software for HCL IntelliOps Event Management

Find and compare the best System Monitoring software for HCL IntelliOps Event Management in 2024

Use the comparison tool below to compare the top System Monitoring software for HCL IntelliOps Event Management on the market. You can filter results by user reviews, pricing, features, platform, region, support options, integrations, and more.

  • 1
    New Relic Reviews
    Top Pick
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    Boost your enterprise's system performance with New Relic’s System Monitoring solution. Access real-time insights into system health, resource utilization, and performance metrics to ensure reliability and efficiency across servers, databases, and key components. Built for large-scale environments, New Relic enables proactive issue detection, efficient troubleshooting, and preventive measures to keep systems running smoothly. Anticipate potential disruptions and optimize your infrastructure with New Relic’s advanced System Monitoring solution.
  • 2
    Zabbix Reviews
    Zabbix is the ultimate enterprise software that allows you to monitor millions of metrics from thousands of virtual machines, servers, and network devices. Zabbix is free and open-source. Automatically detect problem states in the incoming metrics flow. You don't have to constantly look at the incoming metrics. The native web interface offers multiple ways to present a visual overview about your IT environment. Zabbix Event correlation mechanism will help you focus on the root cause of a problem and save you thousands of repetitive notifications. Automate monitoring large, dynamic environments. Integrate Zabbix into any part of your IT environment. Access all Zabbix functionality via the Zabbix API.
  • 3
    Datadog Reviews
    Top Pick

    Datadog

    Datadog

    $15.00/host/month
    7 Ratings
    Datadog is the cloud-age monitoring, security, and analytics platform for developers, IT operation teams, security engineers, and business users. Our SaaS platform integrates monitoring of infrastructure, application performance monitoring, and log management to provide unified and real-time monitoring of all our customers' technology stacks. Datadog is used by companies of all sizes and in many industries to enable digital transformation, cloud migration, collaboration among development, operations and security teams, accelerate time-to-market for applications, reduce the time it takes to solve problems, secure applications and infrastructure and understand user behavior to track key business metrics.
  • 4
    Amazon CloudWatch Reviews
    Amazon CloudWatch is a monitoring service that provides observability and data for developers, DevOps engineers, site reliability engineers (SREs), IT managers, and other users. CloudWatch gives you data and actionable insights that will help you monitor your applications, respond quickly to system-wide performance changes and optimize resource utilization. It also provides a unified view on operational health. CloudWatch gathers operational and monitoring data in the form logs, metrics and events. This gives you a single view of AWS resources, applications and services that are hosted on AWS and on-premises. CloudWatch can be used to detect anomalous behavior, set alarms, visualize logs side-by, take automated actions, troubleshoot problems, and uncover insights to help you keep your applications running smoothly.
  • 5
    Nagios Core Reviews

    Nagios Core

    Nagios Enterprises

    Nagios Core, the monitoring and alerting engine, is the core application that powers hundreds of Nagios project development. Nagios Core is the event scheduler, event processor, alert manager, and monitor for elements. It has several APIs that can be used to extend its capabilities to do additional tasks. It is implemented in C for performance reasons and is designed to run natively under Linux/*nix systems.
  • 6
    ScienceLogic Reviews
    Find all components in your enterprise, both standard and unique, across physical, virtual, and cloud. A data lake that is clean and normalized can be used to collect and store diverse data. Understanding the relationships between infrastructure, business services and applications. This context will provide you with actionable insights. In real-time, integrate and share data across technology and your IT ecosystem. Multi-directional integrations are used to automate proactive and reactive actions at cloud scale.
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