Top 5 AIOps Platforms in 2024

If your IT Ops team is struggling with many alerts and incidents, it's time to use AIOps tools. The complexity of modern IT infrastructure overwhelms even skilled professionals and requires an advanced solution that streamlines processes.

AIOps platforms serve as efficient solutions to multifaceted problems and help the IT operations team navigate them efficiently. They employ AI algorithms to analyze the vast data your IT systems, applications, and networks generate in real time to automate and enhance your IT processes.

This article will explore the features and capabilities of the top 5 best AIOps platforms, which seamlessly bring agility and scalability to IT operations management.

What is an AIOps Platform?

An AIOps platform uses AI and ML technologies to enhance and automate IT operations. It acts as the central hub of your IT infrastructure, constantly analyzing, finding patterns, identifying issues, and taking/suggesting corrective actions. It enables the IT Ops team to make informed decisions and proactively address issues to optimize performance.

Consider this, for example.

A financial institution frequently faces service disruptions due to network outages. An AIOps platform can monitor the network performance in real-time and quickly identify the issue and the affected component when an outage occurs. It can reroute the traffic automatically to minimize downtime. It can also predict future outages by analyzing past data and finding patterns in the outages, offering insights into the underlying issues causing them and helping you proactively address them.

Result? A reliable system and improved customer experience and satisfaction.

AIOps platforms help your IT operations team to:

• Collect data automatically from disparate sources, such as network devices, websites, offline documents, applications, and integrated tools
• Analyze all the data to find anomalies and potential issues
• Automate actions to free up IT resources for more strategic tasks 
• Perform root-cause analysis.

Let’s check out the top 5 AIOps platforms that offer you capabilities to perform and automate the abovementioned tasks.

5 Best AIOps Platforms

1. Rezolve.ai

‍

Rezolve.ai is a GenAI-powered AITSM that goes beyond ITSM and transforms your IT service management into a GenAI sidekick that assists customers, employees, and IT teams. This innovative tool brings cutting-edge AIOps capabilities to manage, monitor, and analyze diverse IT environments and gather real-time data.

Its advanced AI-powered monitoring and analytics features provide a comprehensive view of IT performance and health.

Besides this, it also brings advanced automation features for instant and personalized support to empower employees to deliver an enhanced service desk experience. It auto-resolves 65% of employee queries and tickets using documented knowledge and process orchestration using a conversation chat interface that works within MS Teams.

Key Features 

• Offers agile knowledge management using GenAI to ensure the accuracy and reliability of information and contextual response
• Enables GenAI-powered service desk with a conversational chatbot that empowers self-service among employees
• Offers robust automation capabilities to free up agents and allow them to focus on more complex tasks
• Streamlines incident management with structured workflows, automated ticket deflection, and auditability features
• Offers features like root cause analysis and continuous progress tracking within the portal for efficient problem management
• The only tool to offer desktop automation to automate repetitive tasks like software installation, troubleshooting, device setting configuration, and proactive device monitoring
• Offers AITSM features with access to the service catalog and approvals directly from MS Teams
• Offers automated SLA management by transparently tracking, analyzing, and reporting SLA performance
• Comes with a modern dashboard and reporting features with a bird-eye view of service delivery and SLAs to support agents for informed decision-making
• Provides a no-code automation studio feature with pre-built automation templates that help create workflows and streamline processes.

Pros 

• Extremely user-friendly and easy to roll out as it runs within the familiar MS Teams interface
• Efficient ticketing solution with automated ticket generation right from the MS Team chat
• Exceptional support services throughout, from initial onboarding to feature requests, ongoing check-ins, and feedback implementation
• Serves as an efficient self-service tool, freeing up the service desk team for complex issues   
• Seamless integration with 1000+ applications 
• Creates a unified help desk to manage, track, and analyze help requests.

Cons

Does not offer separate applications and runs within MS Teams, creating a service desk within its familiar interface. 

Pricing 

Custom pricing 

Best For 

Rezolve.ai is a highly scalable solution that centralizes service desk management from a single platform. It goes beyond the IT service desk and caters to HR, finance, and other departments across industries, making it a good fit for organizations of all sizes. It prioritizes solving issues and focuses on proactively addressing issues with predictive analytics, a highly sought-after feature for businesses in these competitive modern markets.

2. Dynatrace

Dynatrace is a unified observability and security platform powered by causal AI. It offers contextual analysis, automation, and collaborative features. Dynatrace’s AI engine, Davis, serves the AIOps by continuously looking for issues and efficiently finding their root cause.

Key Features

• Auto-identifies problems and root cause analysis without any manual configuration. 
• Automatically understands dynamic cloud environments and auto-discovers changing environments in real-time.
• Combines contextual information with AI and automation to deliver precise answers.

Pros

• Easy integration with other monitoring tools
• Custom-made dashboards for easy monitoring of applications

Cons 

• Expensive compared to other tools
• It does not provide a direct connection with a live agent and requires back-and-forth emails to get issues fixed
• Setup and configuration require a significant amount of time
• Alert monitoring threshold occasionally gives false warnings
• Comes with a steep learning curve, especially for newbies

Pricing

• Free trial
• Full-Stack Monitoring with AIOps: $0.08 per hour for 8 GiB host
• Infrastructure Monitoring with AIOps: $0.04 per hour for any size host
• Kubernetes Monitoring: $0.002 per hour for any size pod
• Application Security: $0.018 per hour for 8 GiB host
• Real User Monitoring: $0.00225 per session

Best for

Dynatrace is suitable for organizations looking for comprehensive observability, monitoring, security solutions, and AIOps features.

3. BigPanda

BigPanda is an AIOps platform that streamlines and optimizes ITOps activities. It automatically identifies actionable alerts, helps prevent incidents, and ensures service availability. It uses GenAI capabilities to automate root cause analysis and incident analysis and provide real-time insights.

Key Features

• Identifies critical alerts automatically, enabling faster issue resolution
• Uses AI to provide valuable insights to IT teams by gathering, organizing and analyzing data from various tools
• Automatically sorts incidents and sends notifications for smooth incident response 

Pros

• Easy and simple UI
• Quickly combines data from tools into actionable incidents and finds problems faster
• Automates incident response tasks like ticketing and sending notifications to speed up resolution

Cons 

• The support services are not optimal, and it takes 3-5 days to get a response
• Runs slowly when connected to complex infrastructure and external tools 
• Does not show the alert count for a particular incident, which could help ITOps understand the issue's urgency and impact better

Pricing

Custom Pricing 

Best For

Organizations with complex IT infrastructure and multiple sets of tools because of their ability to gather data from multiple sources swiftly.

4. Splunk ITSI

Splunk ITSI is an AI-driven incident detection, prediction, and resolution tool. It focuses on streamlining IT operations through robust monitoring and tracking, incident management, and integration with ITSM tools.

Key Features

• Offers service-oriented customizable dashboards to monitor and track KPIs and service availability
• Analyzes multiple service metrics to identify root causes of issues quickly
• Provides KPI-driven triage and prioritization based on impact on the organization

Pros

• Provides a holistic view of the IT environment in a single dashboard
• Easy to create and use dashboards
• Offers good data security features

Cons

• Complex initial setup and configuration, especially for large organizations with complex IT environments
• It is memory intensive and requires significant storage and computing resources
• Requires high engineering maintenance and skills
• Expensive compared to other monitoring tools

Pricing 

Custom pricing 

Best For 

Splunk ITSI can be expensive for organizations building new security and data use cases, requiring extensive engineering maintenance and highly skilled professionals. Thus, it is more suitable for large organizations.

5. Digitate

Digitate is an automation solution that offers various products to help organizations optimize their operations. Digitate’s Ignio AIOps helps build resilient IT operations. It uses AI analytics and intelligent automation to create agile IT operations and eliminate repetitive tasks.

Key Features

• Automates blueprinting of complex IT infrastructure for improving visibility and transparency
• Offers patented AIOps capabilities like built-in automation capabilities covering 45+ technologies
• Offers Ignio Observe, an add-on module for in-depth observability and monitoring 

Pros

• Offers automation for processes like training verification, account creation deactivation, and reactivation which enhances operational efficiency
• Seamless integration with existing applications and tools 

Cons

• The migration process is not up to the mark
• Initial configuration is challenging as the setup is not intuitive and takes a lot of time
• Many tasks, like event management and observability, require customization and take weeks of development work
• UI needs to be more consistent, especially in terms of intuitiveness

Pricing

Custom Pricing

Best For

It is suitable for organizations looking for AIOP automation features. However, the tool's complex initial setup takes a long time, which should be considered before choosing Digitate. Users also need to improve their migration experience with the tool.

Closing Note

AIOps platforms bring a level of sophistication in streamlining and enhancing IT operations. From data collection from disparate sources to their storage and analysis, they automate many tasks that otherwise would consume valuable time for IT professionals.

They also use predictive analytics and intelligent automation to monitor and track incidents comprehensively, enabling proactive resolution and maintenance of the IT environment. They reduce the risk of downtime and build a robust, secure IT infrastructure.

Rezolve.ai is one of the best tools on the list. It provides features that combine the power of GenAI with AIOps and ITSM features for a holistic approach to issue resolution and management. To test the power of Rezolve.ai, take a demo today and see how seamlessly it revolutionizes your IT operations.

FAQs

1. Why is AI Ops critical?

AIOps enable proactive management of an organization's IT infrastructure using AI and ML technology. It helps automate repetitive tasks, predicts and prevents incidents, and streamlines IT operations.

2. What are the use cases of AI Ops?

AIOps has several use cases, such as root cause detection and analysis, anomaly detection, automating incident resolution, performance monitoring and optimization, and capacity planning. These help make informed decisions, streamline IT operations, and deliver better experience.

3. How is AI Ops implemented?

Implementing AIOps involves aligning AIOps with business goals, data collection, data processing, training the AI model for anomaly detection, generating insights, and automating tasks. This also requires integration with the existing tools and applications for comprehensive analysis and monitoring.

4. What are the critical stages of AI Ops?

The key stages include data collection, processing, model training, automation, anomaly detection, and continuous learning and improvement.