Best AIOps Tools for Smarter IT Management in 2024

Managing IT operations has never been more challenging.

As businesses grow and systems become more complex, teams are flooded with alerts, unexpected downtime, and mounting pressure to keep everything running smoothly.

The old ways of doing things — manually monitoring systems and reacting to problems — just don’t cut it anymore.

That’s where AIOps (Artificial Intelligence for IT Operations) comes in.

It helps IT teams automate repetitive tasks, detect issues before they escalate, reduce the noise from endless alerts, and more.

In this blog, we’ll explore some of the best AIOps tools that can make managing IT operations a whole lot easier.

14 Powerful AIOps Tools for Modern IT Challenges

Whether you’re facing alert fatigue or just looking for more efficiency, there’s a solution here that can help.

Let’s dive in.

1. Splunk IT Service Intelligence (ITSI)

Splunk ITSI gives organizations a way to monitor and analyze complex IT environments.

Splunk’s claim to fame is its ability to ingest data from virtually any source, and with ITSI, it goes a step further by applying machine learning to correlate events and provide service-centric views of your systems.

This means you can monitor the health of critical services rather than drowning in individual logs or metrics.

2. Dynatrace

Dynatrace takes the idea of full-stack observability and blends it with powerful AI to deliver insights into the performance of applications, infrastructure, and user experience.

What makes Dynatrace one of the best AIOps tools is Davis, its AI engine that doesn’t just alert you to problems but also explains their root causes.

This means you can monitor the health of critical services rather than drowning in individual logs or metrics.

3. Datadog

Datadog has emerged as one of the most popular AIOps tools.

It consolidates infrastructure, applications, logs, and even security data into one platform, so you can get full visibility into everything that matters.

4. Moogsoft

Moogsoft excels in reducing alert fatigue.

Instead of drowning your team with notifications, it correlates events and surfaces only the most important issues.

It’s perfect for large enterprises dealing with thousands of daily events.

5. IBM Watson AIOps

IBM Watson AIOps brings the power of IBM’s AI capabilities into IT operations, offering a platform designed to predict, diagnose, and remediate issues across your hybrid cloud environments.

This AIOps tool is particularly valuable for organizations with large, complex infrastructures.

6. AppDynamics

Acquired by Cisco, AppDynamics is an application performance management (APM) tool that incorporates AI and ML for monitoring business transactions, infrastructure, and user experience.

It provides deep visibility into application and business performance.

7. New Relic One

New Relic One combines full-stack observability with AIOps to monitor everything from applications and infrastructure to logs and user experience.

This AIOps tool excels in providing developers and IT operations teams with actionable insights, especially in complex, distributed environments.

8. BigPanda

BigPanda excels at event correlation and incident management, making it one of the favorite AIOps tools among IT teams looking to reduce noise and handle incidents more effectively.

It ingests alerts from different monitoring tools and applies AI to correlate events.

9. BMC Helix

BMC Helix is designed for large enterprises needing a powerful AIOps tool.

It combines IT service management with AIOps, offering everything from anomaly detection to automated incident resolution.

10. ServiceNow IT Operations Management (ITOM)

ServiceNow ITOM integrates AIOps into a broader IT service management (ITSM) platform, making it ideal for organizations that already use ServiceNow.

With its ability to unify IT operations, ITOM offers powerful event correlation, incident response, and predictive analysis features.

11. PagerDuty

PagerDuty is widely known for incident management but has incorporated AIOps features to automate event intelligence.

This AIOps tool helps teams prioritize incidents and even automate some responses, reducing the time it takes to resolve critical issues.

12. Elastic (formerly ELK Stack)

Elastic is well-known for its powerful search capabilities, but it’s also a major player in AIOps.

The platform’s observability suite combines logs, metrics, and traces, all enhanced with machine learning to detect anomalies.

13. LogicMonitor

LogicMonitor offers cloud-based infrastructure monitoring enhanced with AI.

It’s designed to handle dynamic and hybrid environments and includes predictive analytics that can detect potential problems before they escalate.

14. ScienceLogic SL1

ScienceLogic SL1 is purpose-built for hybrid and multi-cloud environments.

It provides real-time monitoring across complex infrastructures, applying AI to correlate data from various sources to deliver actionable insights.

Wrapping Up

Managing today’s IT environments without the help of AIOps tools is like trying to steer a ship without radar — you might get where you’re going, but not without running into a few icebergs.

AIOps enables IT teams to not just react faster but to anticipate problems before they occur, automate mundane tasks, and spend more time on strategic initiatives.

Whether you’re looking for deep observability (like what Dynatrace or Datadog offer), or you need robust incident management with noise reduction (like Moogsoft or BigPanda), there’s an AIOps tool suited to your environment.

As hybrid, cloud-native, and microservices-based architectures continue to grow, adopting the right AIOps tool could be the difference between constant firefighting and smooth sailing.