Top 13 AIOps Tools: Automate Your IT Operations (2026)

Top AIOps Tools

The best AIOps tools that are popularly used in IT operations are listed below:

1. Dynatrace

Dynatrace is a full-stack observability platform that uses AI to monitor, analyze, and optimize performance in different cloud environments, applications, and infrastructure.

As per my experience after using this, I can say that it provides proper automated root cause analysis and a real time monitoring feature which ensures smooth performance management at a large scale.

Feature:

• Automated Root Cause Analysis: It Quickly identifies the root cause of performance issues across complex environments.
• AI-Powered Insights: Provides actionable insights and recommendations to optimize performance in real-time.
• Real-Time Monitoring: Offers comprehensive, real-time visibility into all aspects of your IT infrastructure.

2. IBM Cloud Pak for AIOps

IBM Cloud Pak for AIOps integrates AI with IT service management to improve service delivery, reduce downtime, and improve system performance.

I will suggest IBM Cloud Park because it comes with the brand trust of IBM, a well know Tech company.

Feature:

• AI-Driven Incident Detection: It uses Machine learning (ML) to detect and prioritize incidents before they impact users.
• Automated Remediation: It automates responses to recurring issues, reducing manual efforts.
• Integrated ITSM: It seamlessly integrates with IT service management platforms to optimize operations.

3. Splunk IT Service Intelligence (ITSI)

Splunk ITSI helps organizations run IT services by using AI and machine learning to improve visibility, prediction, and automation of service operations. This reduces human effort plus solves problems faster.

Feature:

• Service Health Dashboard: It shows a single view of your entire IT service health with real-time insights.
• Predictive Analytics: Uses AI to forecast service problems and prevent potential failures that can occur in future.
• Advanced Anomaly Detection: It finds unusual patterns in service performance which reduces downtime and improves reliability.

4. Dell APEX AIOps

Dell APEX AIOps by Dell Technologies Inc which is a tech gaint gives a set of tools that not only automate but also optimize your IT operations for businesses, I have witnessed how it integrates AI to predict issues and improve service performance. It is highly helpful to streamline the IT management.

Feature:

• Predictive Maintenance: Uses AI to predict potential system failures and accordingly takes actions to resolve.
• Cloud Resource Optimization: It optimizes cloud infrastructure utilization to decrease costs and enhance efficiency.
• Integrated AI Solutions: It uses AI to automate the workflows and enhance your system monitoring.

5. BigPanda

BigPanda is an event correlation and incident management tool that uses AI to streamline IT operations, reduce alert noise, and automate incident resolution. It makes monitoring easy and simple by grouping related incidents and providing clear, actionable insights.

Feature:

• Event Correlation: Using its AI it automatically correlates events across systems and finds patterns to decrease false alerts.
• Automated Incident Management: It shows AI-driven workflows to quickly resolve problems.
• Customizable Dashboards: It provides flexible and easy-to-use dashboards to monitor all your IT operations.

6. Datadog

Datadog is a cloud based monitoring platform that integrates AIOps abilities to provide real-time insights into infrastructure, applications, and logs. It helps the IT team to monitor system health and solve any issues before they impact business operations.

Feature:

• Unified Monitoring: Monitors applications, logs, and cloud environments in a single platform.
• Anomaly Detection: AI finds and alerts teams to any abnormal behavior in real time.
• Infrastructure Metrics: Tracks infrastructure performance with detailed metrics for optimal management.

7. Moogsoft

Moogsoft is an AIOps tool that focuses on event correlation, incident management, and reducing alert fatigue by using its AI automation. It provides IT teams with the context and information which they require to resolve issues more efficiently and conveniently.

Feature:

• Noise Reduction: Automatically filters out unnecessary alerts which reduces alert fatigue.
• Collaborative ChatOps: Facilitates team collaboration using integrated chat-based workflows.
• AI-Driven Anomaly Detection: Detects anomalies and identifies the root cause of incidents quickly.

8. PagerDuty

PagerDuty is an incident management platform that helps IT Teams to respond and resolve issues efficiently using AI-driven incident prioritization and automation. It easily integrates with your existing monitoring tools for quick problem resolution.

Feature:

• Real-Time Incident Response: It shows real-time alerts and insights in order to resolve issues promptly and efficiently.
• Automated Workflows: Automates incident resolution workflows, saving time and reducing errors.
• AI-Powered Severity Classification: Uses AI to classify incidents based on their severity, helping teams prioritize.

9. LogicMonitor

LogicMonitor is an AI-powered monitoring tool that offers unified visibility across all the IT environments starting from on-premises to cloud infrastructure. It helps to find issues before they actually impact users, offering proactive monitoring solutions.

Feature:

• Automated Discovery: Automatically discovers and monitors new devices and systems as they are added to the network.
• Cloud and Hybrid Monitoring: It gives deep monitoring for both cloud-based and on-premise environments.
• Scalable Architecture: Easily scales to accommodate large and growing IT environments.

10. New Relic AI

New Relic AI delivers real-time application performance monitoring with AI-driven insights, helping teams identify and fix issues before they affect users. It provides deep visibility into application performance and integrates seamlessly with other New Relic products for a unified experience.

Feature:

• Predictive Analytics: Anticipates issues before they occur by leveraging machine learning.
• Full-Stack Observability: Monitors applications, infrastructure, and user experiences in one platform.
• Root Cause Analysis: Quickly pinpoints issues with detailed root cause analysis using AI.

11. ServiceNow IT Operations Management (ITOM)

ServiceNow ITOM uses AI to manage IT operations, optimize resource allocation, and enhances incident management across many cloud environments. It also improves service reliability through intelligent automation.

Feature:

• Proactive Monitoring: It forecasts service problems and recommends fixes before they affect performance.
• AI-Powered Workflow Automation: Automates incident resolution, reducing manual effort.
• Cloud Resource Optimization: Helps optimize cloud resource allocation based on usage patterns.

12. Zenoss Cloud

Zenoss Cloud is an intelligent monitoring and AIOps service, which helps organizations to get real-time visibility of their IT infrastructure performance. It automatically detects issues and resolves it.

Feature:

• Unified Monitoring: It uses a Single dashboard to monitors cloud and on-premise infrastructure.
• Automated Problem Resolution:It uses AI to automate issue detection and starts resolution process.
• Predictive Alerts: AI forecasts potential issues before they affect system performance.

13. OpenText IT Operations Cloud

OpenText IT Operations Cloud is an AI-powered platform that provides advanced monitoring, issue detection, and automated incident resolution, which makes sure the optimal IT performance.

Feature:

• Anomaly Detection: Uses AI to detect uncertainity and alert IT teams about potential issues.
• Cloud-Based Monitoring: It provides flexible, cloud-based monitoring solutions for IT operations.
• AI-Powered Automation: Automates incident resolution and system optimizations using machine learning models.