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New Relic

New Relic One is a cloud-based network monitoring and observability platform designed to help businesses analyze, optimize and troubleshoot software stack. Features include real-time alerts, serverless monitoring, incident managem...Read more about New Relic


Site24x7 is a cloud-based website and server monitoring platform that helps small to large size businesses monitor websites, servers, clouds, networks, applications and real-time users. The platform enables users to derive insight...Read more about Site24x7


AutoRABIT is the only complete DevSecOps platform for Salesforce developers. Incorporate static code analysis, data security, and CI/CD capabilities to increase the security, release velocity, and quality of your Salesforce code d...Read more about CodeScan

Elastic Observability

Elastic Observability is a software that helps businesses build, run and monitor their applications. It helps users understand application's performance and how it works. It does this by tracking metrics such as CPU usage, memor...Read more about Elastic Observability

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ManageEngine OpManager

ManageEngine OpManager is a network management solution that includes network and server monitoring, bandwidth analysis, configuration management and fault management. The solution is suitable for businesses of all sizes. OpM...Read more about ManageEngine OpManager

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Autointelli AIOps

Autointelli AIOps is a cloud-based solution, which enables businesses to identify root causes, manage incidents and automate IT operations using machine learning technology. Professionals can receive notifications about specific i...Read more about Autointelli AIOps

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Datadog is the monitoring, security and analytics platform for developers, IT operations teams, security engineers and business users in the cloud age. Datadog's SaaS platform integrates and automates infrastructure monitoring, ...Read more about Datadog

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Optanix is a network monitoring and AIOps solution that helps businesses streamline processes related to issue discovery, remediation, prioritization and more from within a unified platform. Team members can use artificial intelli...Read more about Optanix

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Kentik is a cloud-based network management solution which assists network managers, network engineers and operators with data encryption and access control. Its key features include bandwidth monitoring, network diagnosis, perform...Read more about Kentik

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BigPanda is an AIOps solution that helps businesses streamline processes related to event correlation, outage resolution, incident response and more on a centralized platform. It allows staff members to use artificial intelligence...Read more about BigPanda

4.5 (2 reviews)


Dynatrace is an AIOps solution designed to help businesses automate multi-cloud processes and streamline collaboration across multiple teams through purpose-built use cases. Its filtering capabilities enable supervisors to search ...Read more about Dynatrace

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Infraon IMS

Infraon IMS is a Unified IT Infrastructure Monitoring and Management Solution that helps simplify network and systems management by monitoring, managing and optimizing system performance and availability across heterogeneous IT en...Read more about Infraon IMS

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Loom Systems' Sophie is an AIOps platform designed to help businesses improve IT operations and prevent incidents using log analytics, zero-configuration parsing, cross-applicative events correlation, and problem prediction measur...Read more about Sophie

4.7 (7 reviews)


Moogsoft is an AIOps platform designed to help software engineers, developers and IT administrators observe, monitor and correlate alerts for applications, services and infrastructures to generate actionable insights. The solution...Read more about Moogsoft

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ServicePilot is a high-performance IT monitoring system supporting highly detailed observability of critical applications, surveillance of thousands of devices, and analysis of millions of events. Combining real-time and historica...Read more about ServicePilot

4.5 (6 reviews)


OpsRamp is an AI-driven IT operations management platform that helps IT teams detect and resolve critical issues across their infrastructure and applications. OpsRamp serves managed service providers, enterprise IT teams, and clou...Read more about OpsRamp

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Runecast is a provider of one solution designed to help IT Security and Operations teams like yours effectively manage and mitigate risks. Our platform offers a range of valuable features to enhance your operational efficiency and...Read more about Runecast

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Eliminate friction and automate instantly. Resolve Actions Express SaaS Edition has nothing to download and no infrastructure to set up, so our customers can spend time on creating value for their business. Actions Express SaaS Ed...Read more about Resolve

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Cybus Connectware

Cybus Connectware integrates production and IT with a centralized, scalable data hub that collects, processes and distributes industrial data. It supports large scale configurations along multiple factory sites and is tailored for...Read more about Cybus Connectware

4.8 (4 reviews)

Fosfor Refract

Fosfor Refract aims to optimize the end-to-end life cycle of Machine learning applications by simplifying various tasks of MLOPS like accessing the right data, training models, publishing and deploying models, model monitoring, an...Read more about Fosfor Refract

5.0 (6 reviews)

Buyers Guide

Last Updated: March 16, 2023

As an IT professional, you work with dozens of tools that generate huge volumes of complex data in the form of logs, metrics, event records, and more.

With traditional IT operation monitoring techniques, it can take too long for your team to inspect the data from various systems and tools (in hybrid, diversified environments) to identify the root cause of issues. This will eventually affect service delivery and customer user experience.

AIOps is the application of artificial intelligence (AI) for IT operations. It helps IT Ops, DevOps, NetOps, and SecOps teams detect digital service issues faster and resolve them quickly, before it affects business operations and customers. This helps prevent outages, maintain uptime, and provide optimal service delivery.

This software can integrate with IT service management software, issue tracking, IT management software, and application performance management software to aggregate and summarize data from multiple sources in order to improve visibility across business services and applications within the IT infrastructure.

Given the many options available on the market, deciding which software to choose can be confusing. In this buyers guide, we’ve provided all the information you need to make the right purchase decision for your IT needs.

Here’s what we'll cover:

What is AIOps platform software?

AIOps platforms, known as artificial intelligence for IT operations, is an application that automates and streamlines IT operations by applying artificial intelligence, machine learning, and analytics to big data. AIOps platforms collect massive amounts of IT data (big data) from various tools and devices, correlate data in a contextual form, and identify root causes of problems and recurring issues.

The insights from AIOps platform software can be turned into intelligent actions performed automatically, allowing IT professionals to make decisions faster and more accurately. Such platforms can alert SecOps, NetOps, DevOps and other IT teams of problems and opportunities which they can collectively observe, engage, and act on. This results in continuous improvements and fixes in core IT functions of an organization, which help avoid downtime and improve customer satisfaction.


Reporting/analytics in Splunk Enterprise (Source)

Common features of AIOps platform software

Data aggregation

Collect, process, and summarize data from multiple sources in a report-based form for further data analysis.

IT monitoring

Gather metrics about the operations of an IT environment’s hardware and software to assess the performance of an IT infrastructure and network in real-time.

Root cause analysis

Determine the underlying cause of problems in hardware and software of an IT infrastructure. AIOps goes deep into the root of the problem more quickly than manual analysis.

Artificial intelligence/

Machine learning

Analyze large data sets to find correlations and patterns and use these patterns to make predictions and provide valuable insights.


Provide a means of alerting IT professionals faster by automatically generating alert messages and notifications when an issue is detected by the AIOps software.

Incident management

Detect, investigate, and respond to incidents of unplanned events or service interruption. This helps the IT team restore a service to normal as quickly as possible after a disruption.

Performance monitoring

Diagnose performance and availability problems within the IT infrastructure and network. It is used to observe applications, log issues, trace, and alert DevSecOps teams about irregularities or issues with cloud or on-premise infrastructure.


Deliver reports in the form of dashboards, graphics, or other forms to your IT teams and management in an easy-to-understand format. These reports about key metrics on IT infrastructure issues and performance can help you take action to resolve and improve the organization’s IT operations.

Third-party integrations

ntegrate with current tools within the organization, bringing together information, insights, and capabilities to improve visibility across all tools. Such tools typically integrate with ITSM, monitoring tools, issue tracking, IT management software, and application performance management software.

Application security

Identify and respond to security threats within developed applications. AIOps manages massive amounts of data collected from multiple sources to a central location, allowing better process and application security.

What type of buyer are you?

Before evaluating AIOps platforms, you should assess what kind of buyer you are. The majority of buyers in this market belong to one of these categories:

  • IT service providers: IT organizations work on thousands of events that come from siloed systems in order to find issues that are the root cause of their client’s business service failure. Such organizations using legacy IT operations tools and manual processes can take hours to figure out the actual causes. This can result in service degradation, which will ultimately harm their clients who are dependent on their IT resources. AIOps solutions can help IT service providers proactively identify potential issues with the services and technology they deliver and correct them before they become major problems.

  • Such buyers should opt for an AIOps platform that provides flexible deployment, third-party integrations, and event and incident management capabilities. These capabilities will allow service providers to understand and predict business performance degradations and manage service level agreements (SLAs) related to business service availability and performance.

  • Business with existing IT teams: Buyers in this category belong to large organizations that have dedicated in-house IT teams for service management, performance management, and automation. Such companies often have their data siloed in multiple cloud environments and on-premise data centers. Due to this, the IT teams are often stuck in a loop of incidents and fixes. Using an AIOps platform will help the IT operations team improve risk management, deliver new services faster, and gain actionable reporting.

  • These users should look for a fully featured AIOps platform along with monitoring capabilities, automated problem detection, and data ingestion and storage capabilities. The tool should be able to handle multiple data sources such as log data, wire data, text data, metrics, and APIs. These capabilities will help in cost and capacity planning, increase end-to-end visibility of IT operations, and make these teams more efficient.

Benefits of AIOps platforms

Below is a list of benefits you can expect from implementing AIOps platforms:

  • Faster digital transformation: AIOps platforms use self-learning algorithms backed by machine learning to identify and remediate any possible incidents in real-time via behavioral and historical data analysis. This provides you with greater control over your IT infrastructure and business applications. By allowing you to make better use of data, AIOps solutions will accelerate the digital transformation of your organization by enabling automation across areas of IT. As a result, it will help you innovate new products and services faster, reduce risks, and increase agility and resilience.

  • Time and cost savings: Your IT teams spend a lot of time managing mundane tasks and repetitive incidents that could be automated. Investing in an AIOps platform will help your IT operations teams detect and resolve problems faster, prioritize issues, and improve overall business performance. AI can automatically analyze volumes of data and network to find patterns in order to identify problems, and predict and prevent future ones. This not only saves a huge amount of time but also saves the cost by avoiding downtime and critical IT incidents.

  • Data-driven decision-making: AIOps help your organization correlate data from diverse sources and visualize key performance indicators and issues in a dashboard, providing a holistic view of your IT infrastructure. It leverages machine learning techniques in your IT operations for pattern matching, predictive analysis, and historical data analysis. As a result, it delivers data-driven automated responses to incidents, which eliminates human error. This allows your staff to focus more on solving the issues rather than detecting them.

Key considerations

Breadth of functionalities

Some AIOps tools work with any type of data, known as data-agnostic tools, while other AIOps tools work only with certain types of data in specific use cases. These are known as domain-specific tools. It is important to know your business needs before purchasing a software tool.

If your organization has a dedicated IT team for monitoring and developing applications, and your employees work with a variety of data types, it is advisable to purchase a data-agnostic AIOps tool. Such tools can be applied in a wide variety of use cases such as application performance monitoring, maintenance and upgrades of network infrastructure, and analysis of business or marketing data.

But, if your team operates within a specific domain with finite needs, then a data-agnostic AIOps platform might not offer all the dedicated features and functionalities required for your specific domain. You should go for a domain-specific tool that caters to your specific need, such as a tool focused on application performance monitoring, security operations, cloud capacity management, or network infrastructure.

When buying AIOps tools, expect to pay more for platforms that offer more than just the basic features. Tools that only offer domain-specific features will cost less than those of data-agnostic AIOps tools which provide more advanced functionalities.

Market trends to understand

  • AIOps solutions are integrating with observability platforms: Observability platforms help examine the internal state of a system by examining the outputs. These tools collect data in the form of logs, metrics, and traces, and connect the dots between them to determine insights. Integrating AIOps with observability platforms will reduce the time to predict and fix problems by automating the analysis of streams of data aggregated by observability tools in real-time, and turning them into actionable insights. By enabling better diagnostics, the technology empowers IT teams to have a deeper understanding of an organization’s operational data and system. Together, they provide insights required for automated issue remediation and zero-disruption operations, which helps DevOps teams to properly focus on the customer experience.

Note: The application selected in this article is an example to show a feature in context and is not intended as an endorsement or recommendation. It has been obtained from sources believed to be reliable at the time of publication.