Best IT Infrastructure Monitoring Tools for Nonprofit

Find and compare the best IT Infrastructure Monitoring tools for Nonprofit in 2025

Use the comparison tool below to compare the top IT Infrastructure Monitoring tools for Nonprofit on the market. You can filter results by user reviews, pricing, features, platform, region, support options, integrations, and more.

  • 1
    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.
  • 2
    HCL iObserve Reviews
    HCL iObserve forms part of the Intelligent Full Stack Observability solution under HCLSoftware AI & Intelligent Operations framework. It is a full-stack, integrated and comprehensive observability solution that monitors & observes the complex IT ecosystem in hybrid cloud, helping customers accelerate their digital transformation. The solution is suitable for all organizations and industries. It has intelligence built in to help customers optimize their performance, reduce remediation times, and ensure availability across on-premises and multi-cloud environments.
  • 3
    AiOpsX Reviews
    Deep Text Inspection, anomaly detection and clustering. Cutting-edge AI that scans log data and streams insights, alerts. ML clustering detects new errors, unique risk KPI, and more. Pattern recognition and discovery. Anomaly detection for data and risk monitoring. Integration with Logstash and ELK, among others. AiOpsX can be deployed quickly on any log data. It also augments existing monitoring and log analysis tools with millions smart eyes. Security, performance audit, errors & issues, trends, anomalies, security, and more! Unique algorithms detect patterns and calculate risk levels. Anomaly detection continually scans performance and risk data to find outliers. The AiOpsX monitoring engine detects new types and errors, log volume changes, risk levels spikes, and triggers alerts and reports for IT monitoring teams.