Best AIOps tools in 2024

The tech industry is constantly changing, and businesses are seeking innovative ways to keep up. Because of this, AIOps tools have emerged as critical assets in the tech stack of forward-thinking companies. By leveraging these tools, organizations can manage complex data and systems with unprecedented agility, paving the way for more proactive and predictive management strategies.

AIOps tools are at the forefront of transforming traditional IT management methodologies, offering solutions that reduce downtime, optimize performance, and anticipate issues before they escalate. This transition to a more automated and intelligent IT environment is not just about keeping up with technological advances; it’s a strategic move to gain a competitive edge in the market.

In this article, we’ll go over the basics of AIOps tools, how to choose the best one for your business, and the top 15 tools available on the market.

What are AIOps tools?

Artificial intelligence for IT operations (AIOps) tools use advanced algorithms and machine learning (ML) to automate and enhance IT operations. These tools identify patterns and anomalies by analyzing large volumes of operational data in real-time to help IT teams preemptively resolve issues, optimize system performance, and make data-driven decisions. AIOps integrates with other IT systems and processes to provide a holistic view of an organization's IT infrastructure.

15 best AIOps tools in 2024

1. Freshservice

Freshservice is a dynamic AIOps tool that empowers organizations to improve their IT operations through advanced artificial intelligence and automated processes. Designed to integrate seamlessly with existing IT infrastructures, Freshservice offers a robust suite of features that simplify the complexity of managing modern IT environments and enhance operational efficiency and reliability.

Key features

• Automated incident management

• AI based noise reduction

• Real-time monitoring and alerts

Pros

• AI powered incident enrichment

• Robust integration capabilities

• User-friendly

Cons

• Documentation is in an open beta phase

• Limited branding support

• Limited support portal customization

Price

• Starter: $19/agent/month billed annually

• Growth: $49/agent/month billed annually

• Pro: $95/agent/month billed annually

• Enterprise: $119/agent/month billed annually

2. Zluri

Zluri is an AIOps tool focused on providing comprehensive visibility and control over SaaS applications and IT infrastructure. It offers advanced features such as automated incident response, predictive analytics, and seamless integration with existing systems. Zluri’s intuitive interface and robust functionality make it an invaluable asset for businesses aiming to streamline their IT processes.

Key features

• Comprehensive application discovery and management

• Automated user management

• Robust license and vendor management capabilities

Pros

• Real-time alerts for security and compliance risks

• Cost optimization insights

• Employee onboarding and offboarding automation features

Cons

• Limited documentation

• Time-consuming implementation

• Complex UI

Price

• Contact Zluri for pricing

3. Dynatrace

Dynatrace is an AIOps tool known for its comprehensive capabilities in monitoring, automation, and optimization of IT operations. It provides real-time insights and predictive analytics to ensure the seamless performance and reliability of applications and infrastructure. Its robust integration capabilities and user-friendly interface make it an essential asset for organizations seeking to enhance their IT operations.

Key features

• Automated root cause analysis

• Automated dependency mapping

• Comprehensive full-stack monitoring 

Pros

• Robust integration capabilities

• Real user monitoring (RUM)

• Supports continuous delivery and release automation

Cons

• Users have reported slow customer support response times

• Steep learning curve

• Users have reported receiving false alerts from the system

Price

• Full-Stack Monitoring: $0.08/hour/8 GiB host

• Infrastructure Monitoring: $0.04/hour

• Kubernetes Monitoring: $0.002/hour

• Application Security: $0.018/hour/8 GiB host

• Real User Monitoring: $0.00225/session

• Synthetic Monitoring: $0.001/synthetic request

• Ingest & Process: $0.20/GiB

• Retain: $0.0007/GiB

• Query: $0.0035/GiB

4. PagerDuty

PagerDuty is a robust AIOps tool designed to enhance IT operations and incident management. Known for its advanced alerting capabilities, PagerDuty empowers organizations to quickly respond to critical incidents, minimize downtime, and ensure seamless service reliability. It provides comprehensive visibility and coordination across the entire IT infrastructure by integrating with a wide array of IT systems and applications.

Key features

• Intelligent proactive incident management

• On-call maintenance and scheduling features

• Real-time visibility and analytics

Pros

• Customizable escalation policies

• Mobile accessibility

• Automatic post-incident reviews

Cons

• Integration can be complex

• Users have reported compatibility issues with Android devices

• Cluttered UI

Price

• AIOps: Starts at $699/month

5. BigPanda

BigPanda is a powerful AIOps tool designed to unify and streamline IT operations by aggregating data from various monitoring, change, and incident management systems. It is a centralized platform for detecting, analyzing, and resolving IT incidents. Its machine learning capabilities help identify the root causes of issues and reduce alert noise, enabling IT teams to focus on critical tasks.

Key features

• Powerful event correlation capabilities

• Unified IT operations console

• Robust change intelligence features

Pros

• Customizable dashboards and reports

• Seamless integration

• Intuitive UI

Cons

• Limited activity filters

• Limited control of the ML model

• Users have reported slow customer support response times

Price

• Contact BigPanda for pricing

6. LogicMonitor

LogicMonitor is an AIOps tool that provides deep visibility into the performance and health of complex IT infrastructures, enabling organizations to proactively manage their systems and prevent potential issues before they impact business operations. Its robust platform integrates seamlessly with a wide range of technologies and offers real-time insights. 

Key features

• Dynamic topology mapping

• Synthetic transaction monitoring 

• Capacity planning tools

Pros

• Automated incident response

• Anomaly detection 

• Robust security features

Cons

• Limited reporting automation

• Users have reported mobile app glitches and limitations

• Resource-intensive 

Price

• Infrastructure Monitoring: $22/resource/month

• Cloud IaaS Monitoring: $22/resource/month

• Wireless Access Points: $4/resource/month

• Cloud PaaS & Container Monitoring: $3/resource/month

7. Aisera

Aisera is an innovative AIOps tool that uses advanced machine learning, AI, and natural language processing to provide proactive incident resolution and enhanced user experiences. Its platform integrates seamlessly with existing IT systems, delivering real-time insights and predictive analytics to prevent disruptions.

Key features

• Dyanmic CMDB

• Robust self-service options

• CI and MI connectivity graph

Pros

• AI-driven insights

• Flexible and scalable

• Generative AI features

Cons

• Users have reported accuracy issues with the AI chatbot

• Maintenance can be resource intensive

• Limited documentation and training 

Price

• Contact Aisera for pricing

8. IMB Instana

IBM Instana is a sophisticated AIOps tool that provides deep visibility into dynamic microservices and cloud-native environments, enabling organizations to monitor, analyze, and act on performance data seamlessly. Its powerful AI-driven capabilities facilitate automated incident detection and resolution, ensuring optimal system performance.

Key features

• Dynamic graphing and visualization

• Automated contextualized tracing capabilities

• Automated root cause analysis

Pros

• Continuous deployment support

• Seamless DevOps integrations

• Real-time anomaly detection

Cons

• Does not ingest or analyze logs

• Limited per-user customization

• Time-consuming implementation and configuration

Price

• Contact Instana or visit their website for personalized pricing

9. New Relic

New Relic is an AIOps tool that leverages advanced analytics and machine learning to offer real-time insights into application performance, infrastructure health, and user experiences. Its robust platform integrates seamlessly with a wide array of technologies. With an intuitive interface and powerful monitoring capabilities, New Relic empowers organizations to optimize their IT operations, reduce downtime, and enhance overall efficiency.

Key features

• Automated root cause analysis

• Distributed tracing 

• Full-stack visibility

Pros

• Real-time monitoring and alerts

• AI-powered anomaly detection

• Scalable and flexible

Cons

• Users have reported data increases lead to latency

• Can’t run NRQL across sub-accounts

• Limited RUM capabilities

Price

• Usage-based pricing—contact New Relic for details

10. Splunk Enterprise

Splunk Enterprise is a powerful AIOps tool designed to transform machine data into valuable insights. It collects, indexes, and analyzes data from diverse sources across the IT infrastructure to provide real-time visibility and advanced analytics. Its robust platform supports automated incident detection, root cause analysis, and predictive maintenance, helping IT teams proactively manage and resolve issues.

Key features

• Proprietary Search Language Processing (SLP)

• Robust SIEM capabilities

• Custom machine learning models

Pros

• Fully customizable dashboards and visualizations

• Extensive integration capabilities

• Sophisticated correlation rules and real-time alerts

Cons

• Users have reported system crashes

• Storage and resource-intensive

• Steep learning curve

Price

• Multiple pricing structure options—visit the Splunk website for more information

11. Moogsoft

Moogsoft is an AIOps tool that provides real-time monitoring, automated incident detection, and proactive problem resolution. It aggregates and analyzes data from diverse sources, reducing alert noise and pinpointing root causes of issues with precision. With intuitive dashboards and seamless integration options, Moogsoft empowers IT teams to manage complex environments more effectively.

Key features

• Situation rooms for incident management

• Topology visualization capabilities

• Dynamic alert thresholds

Pros

• Facilitates collaborative incident management

• Seamless integration with monitoring tools

• ML-driven event correlation

Cons

• Limited dashboard customization and functionality

• Can’t rerun actions to check if alerts are still active

• Users have reported duplicate tickets being automatically created

Price

• Contact Moogsoft for price

12. HEAL

HEAL is an AIOps platform that focuses on predictive healing and automated resolution of IT incidents, enabling organizations to maintain optimal performance and reliability of their IT systems. By continuously analyzing vast amounts of operational data, HEAL identifies potential issues before they escalate, automates the resolution process, and provides actionable insights. 

Key features

• Automated root cause analysis

• Dynamic resource optimization

• Contextual incident management

Pros

• Self-learning capabilities

• Intelligent alerting mechanisms

• Comprehensive dashboards and reports

Cons

• Time-consuming implementation

• Steep learning curve

• Complex integration processes

Price

• Contact HEAL for pricing

13. Datadog

Datadog is a versatile AIOps tool that provides comprehensive monitoring and analytics for modern IT infrastructures. By integrating seamlessly with a wide range of applications, services, and cloud platforms, Datadog offers real-time visibility into performance, enabling IT management and optimization. Its advanced features, including automated anomaly detection, machine learning-driven insights, and customizable dashboards, empower IT teams to quickly identify and resolve issues.

Key features

• Powerful log management and analytics

• Detailed application performance monitoring (APM)

• Synthetic monitoring capabilities

Pros

• Customizable metrics and alerts

• Robust security monitoring

• Network performance monitoring

Cons

• No UBAC for dashboards

• No MFA

• Cannot use SQL to query logs

Price

• Free: Up to 5 hosts

• Pro: Starts at $15/month/host

• Enterprise: starts at $23/month/host

• DevSecOps Pro: Starts at $22/month/host

• DevSecOps Enterprise: Starts at $34/month/host

14. ManageEngine

ManageEngine is a comprehensive AIOps tool that provides robust monitoring, intelligent alerting, and real-time performance insights. Its extensive feature set, including automated incident resolution, root cause analysis, and seamless integration with various ITSM and DevOps tools, ensures efficient, effective IT operations.

Key features

• Extensive automation capabilities

• Capacity planning and forecasting

• End-user experience monitoring

Pros

• Detailed reporting and analytics

• Seamless service desk integration

• Real-time alerts and notifications

Cons

• Compatibility issues with Linux and Unix devices

• Users have reported SMS alert interruptions

• Complex UI

Price

• Pro: $35/month billed annually

• Classic: $89/month billed annually

• Enterprise: $225/month billed annually

15. AppDynamics

AppDynamics is a powerful AIOps tool that offers real-time monitoring, automated anomaly detection, and end-to-end visibility into complex IT environments. Its robust capabilities enable IT teams to quickly identify and resolve performance issues, optimize application performance, and ensure smooth user experiences.

Key features

• Business transaction monitoring

• Automatic application mapping

• Code-level diagnostics

Pros

• Dynamic performance metric baselines

• Real-time end-user experience monitoring

• Seamless integration with DevOPs and CI/CD tools

Cons

• JavaScript library must be manually injected into application code

• Complex UI

• Steep learning curve

Price

• Infrastructure Monitoring Edition: $6/CPU core/month billed annually

• Premium Edition: $33/CPU core/month billed annually

• Enterprise Edition: $50/CPU core/month billed annually

Importance of AIOps in your organization

AIOps tools are crucial because they significantly enhance the capability and efficiency of IT operations. As digital infrastructures become more complex and data-driven, the volume of operational data that needs to be managed increases exponentially. AIOps tools address this challenge by automating the detection, analysis, and resolution of IT issues to reduce downtime and improve service reliability. 

They also facilitate a shift from reactive to proactive IT management, allowing businesses to anticipate problems before they affect operations. This safeguards performance and supports continuous operational improvement. This predictive capability is vital for maintaining the agility and competitiveness of businesses in a rapidly evolving technological landscape.

Benefits of using AIOps tools

Real-time insights

AIOps tools provide real-time analysis and reporting, enabling IT teams to monitor their systems continuously and detect irregularities as they occur rather than after the fact. These insights allow immediate responses to disruptions or performance degradation, ensuring systems operate optimally without significant downtime. They also support better decision-making by providing up-to-date information on system health, resource utilization, and security threats, allowing businesses to address issues swiftly and efficiently.

Predictive analytics

AIOps tools can forecast potential system failures, capacity bottlenecks, and security threats by leveraging historical data and machine learning algorithms. This proactive approach minimizes the risk of downtime and helps optimize resources, ensuring that IT infrastructures can withstand and be prepared for future demands. With predictive analytics, businesses can plan more effectively, allocate resources more efficiently, and implement preventive measures that safeguard the continuity and efficiency of their operations.

Leverage AI and automation

AI and automation within AIOps tools reduce the need for manual intervention in routine and complex tasks. They use AI to learn from data, identify patterns, and make decisions with minimal human input. Automation then takes these insights to execute predefined actions, such as adjusting resources or resolving issues. This synergy between AI and automation accelerates IT problem resolution and frees IT staff to focus on more strategic, high-value activities. 

Key features when  choosing AIOps tools

Aside from seeking comprehensive features, you should consider the following:

Network size

Larger networks with extensive data flows and a higher number of devices and endpoints require AIOps solutions with robust scalability and the ability to handle vast amounts of data efficiently. The tool must be capable of integrating and correlating data across numerous sources without performance lag. This ensures that the AIOps solution remains effective in providing real-time insights and automation, which are crucial for maintaining system integrity and operational efficiency.

Data sources

An effective AIOps platform must seamlessly integrate with a wide range of data inputs, including logs, metrics, events, and traces from multiple IT infrastructure components. This capability ensures that the tool can gather comprehensive data and provide a unified view of IT health and behavior. The ability to process and analyze data from heterogeneous sources enables more accurate diagnostics, enhanced predictive analytics, and more effective automation. It’s important to choose an AIOps tool that supports a broad array of data sources and offers flexible integration options to adapt as new technologies and data types emerge. 

Machine learning

Machine learning (ML) algorithms are at the heart of AIOps, enabling the system to learn from data, identify patterns, and make predictive analyses. ML quality can significantly impact the tool's ability to automate complex decision-making processes, adapt to changing environments, and improve over time through self-learning. Therefore, selecting an AIOps solution with advanced, well-integrated ML capabilities is crucial for organizations aiming to leverage deep insights and achieve high levels of automation.

Customization

AIOps platforms that offer extensive customization options allow organizations to tailor the tool’s features, workflows, and user interfaces to their unique IT environments and operational policies. This flexibility is essential for integrating the tool into existing processes, optimizing the user experience, and ensuring that the insights and automations provided are relevant and actionable. Customization also enables companies to set specific parameters and thresholds for alerts, automate unique operational tasks, and generate customized reports that address distinct business challenges.

Ease of use

An AIOps system’s ease of use directly impacts the speed and efficiency with which it is adopted by IT teams. Tools that feature intuitive interfaces, straightforward workflows, and clear documentation can significantly reduce the learning curve. An easy-to-use AIOps platform enables users to quickly navigate through complex data insights and automated processes, making it simpler to monitor, analyze, and respond to operational needs. This accessibility ensures that all team members can effectively use the tool, fostering better collaboration and more proactive management of IT environments.

Scalable to business needs

Scalable AIOps tools are designed to handle increasing amounts of data and more complex operations without degrading performance or reliability. This ensures that as an organization expands its infrastructure, adds new technologies, or experiences peaks in data traffic, the AIOps solution can adapt and continue to provide real-time monitoring, analysis, and automated responses effectively. Selecting an AIOps tool that can scale not only horizontally (adding more machines to the pool) but also vertically (enhancing the capabilities of existing machines) is crucial for supporting long-term growth and maintaining robust IT operations.

Enhance your AIOps capabilities in 2024 with Freshservice!

Freshservice is an AIOps platform designed to streamline IT operations by harnessing the power of artificial intelligence and automation. With its advanced machine learning models, Freshservice can predict and prevent issues before they impact your business, ensuring your IT infrastructure is reliable. It integrates seamlessly with your existing IT systems, providing a unified and intuitive interface that simplifies the management of complex data and systems.

Freshservice is committed to delivering a user-friendly experience that minimizes the learning curve and maximizes user engagement. Whether you are looking to automate incident responses, streamline alert management, or generate predictive insights, Freshservice provides every tool you need to promote proactivity and elevate your AIOps practices.

Embrace the full potential of AIOps with Freshservice and transform your IT operations into a dynamic, responsive, and efficient powerhouse.