10 melhores plataformas de AIOps de 2026

Análises das melhores plataformas de AIOps

1. 

   1

   Robin Autonomous IT

   Best for conversational IT issue resolution

   • 30-day free trial available
   • From $209/month/technician (billed annually)

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   Customer Rating:4.5/5This rating combines scores from multiple user review sites to reflect overall customer sentiment about the product.

   

   Robin Autonomous IT is Atera's autonomous IT service agent that diagnoses and resolves device and cloud issues end-to-end, with AI-driven triage, escalation summaries, and continuous learning from past tickets to support IT technicians.

   Who Is Robin Autonomous IT Best For?

   Robin Autonomous IT is a good fit for IT teams and managed service providers that handle high volumes of recurring service desk requests and need to reduce manual resolution workload.

   Why I Picked Robin Autonomous IT

   I've included Robin Autonomous IT in my top picks because of how it handles conversational IT resolution end to end. When an employee submits a request via Teams or Slack, Robin detects the intent, asks follow-up questions to gather full context, and immediately confirms the request is in progress. What I find genuinely impressive is that it doesn't just triage; it verifies the user against identity providers like Okta and Azure AD, then executes the fix directly on the device or in the cloud without waiting for a technician to step in.

   Robin Autonomous IT Key Features

   • Playbook-driven resolution engine: Robin follows predefined playbooks to select and execute the correct resolution path based on the issue type detected.
   • Escalation with context handoff: When Robin can't resolve an issue autonomously, it escalates to a technician with a full diagnostic summary already attached to the ticket.
   • Performance reporting dashboard: Track resolution rates, total actions executed, and time saved across all autonomous interactions in a dedicated reporting view.
   • Continuous learning engine: Robin analyzes resolved tickets over time and surfaces suggestions for new scripts, playbooks, and knowledge base articles based on recurring patterns.

   Robin Autonomous IT Integrations

   Robin offers built-in integrations with identity providers like Google, Azure AD, and Okta, and supports request intake through Microsoft Teams, Slack, and WhatsApp. It also connects to CRM tools like HubSpot and third-party ITSM platforms, with additional connectivity available through Cloud Actions, MCP, and Zapier.

   Pros and Cons

   Pros:

   • Learns from resolved tickets over time
   • Executes actions directly on endpoints remotely
   • Resolves tickets end-to-end without technician input

   Cons:

   • Performance may strain past 30 technicians
   • Robin is a separate paid add-on
   Learn more about Robin Autonomous IT:

   • Check out Robin Autonomous IT on their website
2. 

   2

   Site24x7

   Best for predictive analysis

   • Free plan + 30-day trial + demo available
   • From $10/month

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   Customer Rating:4.7/5This rating combines scores from multiple user review sites to reflect overall customer sentiment about the product.

   

   Site24x7 is a cloud-based monitoring solution that leverages artificial intelligence to oversee your entire IT infrastructure. It provides real-time insights into the performance of websites, servers, networks, and applications.

   Why I picked Site24x7: One thing I like is its advanced anomaly detection capabilities. The system continuously monitors critical performance metrics and identifies deviations from normal behavior, alerting you to potential issues before they escalate. This proactive approach ensures that your IT operations remain smooth and uninterrupted. It also offers predictive analysis. By analyzing historical data, the platform forecasts future trends in resource utilization, such as disk and memory space.

   Site24x7 Standout Features and Integrations:

   Features include automated incident remediation, which uses simple scripts to resolve issues without manual intervention, reducing downtime and operational costs. The platform also offers data visualization and business intelligence tools, organizing critical data into charts, dashboards, and reports for quick analysis and troubleshooting.

   Integrations include ServiceNow, PagerDuty, Opsgenie, Jira, ManageEngine AlarmsOne, ManageEngine ServiceDesk Plus, Slack, Microsoft Teams, Zoho Cliq, Amazon EventBridge, Zapier, and Webhooks.

   Pros and Cons

   Pros:

   • Comprehensive monitoring capabilities across various IT infrastructure components
   • Reliable real-time alerts that enable prompt issue resolution
   • Flexible customization options for dashboards and reports

   Cons:

   • Configuration complexity can be challenging for new users
   • Limited integration options with certain third-party tools
   Learn more about Site24x7:

   • Check out Site24x7 on their website
   • Explore best alternatives to Site24x7
3. 

   3

   Coralogix

   Best for ensuring data security compliance

   • 14-day free trial
   • From $0.06/GB

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   Customer Rating:4.8/5This rating combines scores from multiple user review sites to reflect overall customer sentiment about the product.

   

   Coralogix is a log management platform that helps organizations analyze their data at scale and ensure end-to-end security with automated incident response.

   Why I picked Coralogix: I put Coralogix on this list because it automates posture assessments to ensure compliance with data security standards like SOC, ISO, and HIPAA. The TCO Optimizer feature lets you designate certain types of logs as compliance data.

   Coralogix Standout Features and Integrations:

   Features that differentiate Coralogix from other AIOps tools, in my opinion, are its automated vulnerability assessments. This feature uses AI to continuously monitor your log data and detect known security vulnerabilities; if it detects a vulnerability, it’ll display a description of the issue and estimate its severity so you can prioritize and remediate appropriately. I also like that it has 24/7 support built right into the app.

   Integrations include over 100 native options to platforms and services like AWS, CircleCI, Jenkins, Microsoft Azure, PagerDuty, Perimeter 81, Cloudflare, and NXLog. You can use its REST APIs to connect to more applications.

   Pros and Cons

   Pros:

   • Offers 24/7 in-app technical support
   • Full range of features available with every plan
   • Easy to set up pipelines to ingest data from multiple sources

   Cons:

   • Can be difficult to set up alerts and notifications
   • Some users report slow speeds for log searches
   Learn more about Coralogix:

   • Check out Coralogix on their website
4. 

   4

   Dynatrace

   Best for enterprises to scale their operations with AI and ML

   • 15-day free trial
   • From $7/month

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   Customer Rating:4.5/5This rating combines scores from multiple user review sites to reflect overall customer sentiment about the product.

   

   Dynatrace is an application monitoring tool that provides full infrastructure observability. Is AI engine monitors your infrastructure in real-time and instantly surfaces anomalies.

   Why I picked Dynatrace: I chose Dynatrace because it offers a highly scalable platform that continuously maps your digital environment as your organization grows. Its cloud-native architecture automatically adds new nodes to scale horizontally as needed.

   Dynatrace Standout Features and Integrations:

   Features that I think can help organizations automate their IT operations include its OneAgent software, which automatically maps your entire environment with a single agent; you won’t have to install multiple agents or manually configure plugins. Another feature worth mentioning is Smartscape, a topological model that creates an interactive map of your infrastructure. This allows you to see all the dependencies between your applications.

   Integrations include over 600 native and pre-built options, such as Amazon S3, Ansible, CloudFlare, Databricks, Google Big Query, jQuery, NeoLoad, and Redis.

   Pros and Cons

   Pros:

   • Offers customizable dashboards and reporting options
   • Supports on-premise and cloud deployments
   • Automates incident response at scale

   Cons:

   • Interface can be difficult to navigate
   • Not cost-effective for small businesses to implement
   Learn more about Dynatrace:

   • Check out Dynatrace on their website
   • Read my in-depth review of Dynatrace
   • Explore best alternatives to Dynatrace
5. 

   5

   PagerDuty

   Best for building AI-enabled workflows with integrations

   • 14-day free trial + free plan + free demo available
   • From $21/user/month

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   Customer Rating:4.5/5This rating combines scores from multiple user review sites to reflect overall customer sentiment about the product.

   

   PagerDuty is an infrastructure monitoring platform that leverages AI and ML to help companies stay ahead of critical issues and reduce manual processes.

   Why I picked PagerDuty: Aggregating data across all the platforms and services you use isn’t easy, which is why I put PagerDuty on this list. It includes native integrations with over 700 tools and step-by-step instructions for popular platforms like AWS. You can also use its Events API v2 to ingest and process different types of event data.

   PagerDuty Standout Features and Integrations:

   Features that I feel make PagerDuty stand out from other AIOps tools include its intelligent alert grouping, which uses ML to group related alerts into a single incident. This helps reduce alert noise and speed up resolution times. Automation Actions is another feature I found helpful as it allows you to create automated incident response workflows to common issues; however, I should point out that this feature is only available as a paid-on.

   Integrations are available natively for over 700 platforms, including AWS, ServiceNow, Salesforce, Zendesk, Atlassian, and Datadog.

   Pros and Cons

   Pros:

   • Offers an extensive resource library of guides and documentation
   • Pre-built ML models help reduce incident noise
   • Allows for on-call scheduling to ensure incidents reach the right people

   Cons:

   • Automation Actions is charged separately as an add-on
   • Free plan has limited functionality
   Learn more about PagerDuty:

   • Check out PagerDuty on their website
6. 

   6

   LogicMonitor

   Best for root cause analysis and anomaly detection

   • 15-day free trial + free demo available
   • From $19/month

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   Customer Rating:4.5/5This rating combines scores from multiple user review sites to reflect overall customer sentiment about the product.

   

   LogicMonitor is a cloud-based infrastructure monitoring platform with AIOps capabilities that help organizations prevent outages and streamline their operations.

   Why I picked LogicMonitor: I put LogicMonitor on this list for its anomaly detection. The system applies machine learning to historical data to detect anomalies outside normal patterns. Dynamic thresholds ensure that you only receive alerts for critical issues.

   LogicMonitor Standout Features and Integrations:

   Features that I think make LogicMonitor stand out from other AIOps platforms include its data forecasting tool, which uses historical data to make predictions about your infrastructure. For example, you can use it to anticipate when the disk space on a server will run out. These insights can help you take a more proactive approach to preventing outages.

   Integrations are available natively for over 2,000 platforms. Notable integrations include Microsoft Azure, Google Cloud Platform, VMware, AWS, ServiceNow, Citrix, Fortinet, Java, MySQL, and ConnectWise.

   Pros and Cons

   Pros:

   • Native integrations for 2,000 platforms and services
   • Enables real-time monitoring of network devices, servers, and applications
   • Offers an intuitive and simple user interface

   Cons:

   • Some users report additional development work for certain integrations
   • Lack of customization for the monitoring templates
   Learn more about LogicMonitor:

   • Check out LogicMonitor on their website
   • Read my in-depth review of LogicMonitor
   • Explore best alternatives to LogicMonitor
7. 

   7

   ServiceNow

   Best for a range of AI-powered capabilities

   • Free demo available
   • Pricing upon request

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   Customer Rating:4.4/5This rating combines scores from multiple user review sites to reflect overall customer sentiment about the product.

   

   ServiceNow is a cloud-based IT operations management platform. It leverages AI to simplify data ingestion and automate incident resolution.

   Why I picked ServiceNow: I put ServiceNow here because it offers an array of features that can help organizations manage and optimize their IT infrastructure. It can automatically discover applications and map their dependencies, detect and remediate anomalies, and even optimize resources to reduce cloud spend.

   ServiceNow Standout Features and Integrations:

   Features that I think make ServiceNow worth considering include its predictive AIOps capabilities, which can instantly identify anomalies as they occur. The platform also offers pre-built actions that you can apply to alerts and speed up remediation. I also found its service health dashboards helpful for understanding which applications were at risk.

   Integrations are available natively for platforms like AWS, Google Cloud Platform, Microsoft Azure, Citrix, Okta, Jira, and SAP. You can also use ServiceNow’s REST APIs to integrate with more applications.

   Pros and Cons

   Pros:

   • Offers apps for iOS and Android
   • Facilitates collaboration and information sharing
   • Platform can be customized to fit different use cases

   Cons:

   • Setting up integrations may require some technical expertise
   • Some users report performance issues with the platform
   Learn more about ServiceNow:

   • Check out ServiceNow on their website
   • Read my in-depth review of ServiceNow
   • Explore best alternatives to ServiceNow
8. 

   8

   New Relic

   Best for system alerts and notifications using machine logic

   • Free plan available
   • From $10/user/month

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   Customer Rating:4.3/5This rating combines scores from multiple user review sites to reflect overall customer sentiment about the product.

   

   New Relic is a network observability platform that allows you to monitor the health of your infrastructure. It automatically detects anomalies and correlates incidents to streamline troubleshooting.

   Why I picked New Relic: I picked New Relic because it does an excellent job at cutting through the “noise” and minimizing false positives. The platform uses an AI-powered correlation engine that reviews incidents and groups related issues to create a single alert. You can easily configure workflows to notify and provide relevant context to the right people so they can get straight to work.

   New Relic Standout Features and Integrations:

   Features that make New Relic stand apart include its issues feed, which provides a clear overview of the issues the system detected. I could drill down into each issue and get specifics like issue duration, entity type, and user actions. I also found its “postmortem” feature useful as it provided insights into what worked and what didn’t when responding to an incident.

   Integrations include native options for various platforms and systems, including Amazon ECS, Elasticsearch, Synk, Kubernetes, Azure Batch, Google BigQuery, Kamon, and Comet.

   Pros and Cons

   Pros:

   • Easy to set up and configure
   • Offers simple and transparent pricing plans
   • Provides full-stack observability across your infrastructure

   Cons:

   • Can be costly for small businesses
   • Some users report inadequate documentation for advanced features
   Learn more about New Relic:

   • Check out New Relic on their website
   • Read my in-depth review of New Relic
9. 

   9

   Elastic Observability

   Best for accelerating root cause analysis

   • 7-day free trial
   • From $0.07/GB

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   Customer Rating:4.3/5This rating combines scores from multiple user review sites to reflect overall customer sentiment about the product.

   

   Elastic Observability unifies log data, application traces, and infrastructure metrics in one location. It uses AI to automate anomaly detection and reduce manual troubleshooting.

   Why I picked Elastic Observability: Pinpointing the root cause of an issue isn’t easy unless you’re willing to scour through large volumes of data. I picked Elastic Observability because it offers an array of preconfigured ML models that can detect anomalies and automate root cause analysis. You can apply these models to all types of application and infrastructure data.

   Elastic Observability Standout Features and Integrations:

   Features that I want to highlight about Elastic Observability include its library of out-of-the-box integrations that enable you to ingest data from any source, like applications, endpoints, and servers. Another noteworthy feature is the machine learning wizard. The tool walks you through each step, so you can “train” the system and create your own anomaly detection models even if you have little technical expertise.

   Integrations are available natively for various platforms, including AWS S3, Azure Logs, GitHub, PagerDuty, Slack, ServiceNow, and Fortinet.

   Pros and Cons

   Pros:

   • Offers developer-friendly APIs
   • Enables real-time analysis of log, trace, and event data
   • Supports a range of use cases, from cloud migrations to DevOps

   Cons:

   • Can be expensive to retain data for longer periods
   • Slow query times for large volumes of log data
   Learn more about Elastic Observability:

   • Check out Elastic Observability on their website
10. 

    10

    Splunk

    Best for multi-cloud environments

    • 60-day free trial
    • Pricing upon request

    Visit Website

    Customer Rating:4.3/5This rating combines scores from multiple user review sites to reflect overall customer sentiment about the product.

    

    Splunk is an observability platform that uses AI and ML to detect anomalies and automate incident response across hybrid environments.

    Why I picked Splunk: I chose Splunk because it offers a robust ecosystem of apps and integrations that enable multi-cloud enterprises to gain full visibility of their infrastructure. Its service-level dashboards allow you to drill down to the code level to make troubleshooting issues more effective.

    Splunk Standout Features and Integrations:

    Features that impressed me about Splunk include its predictive analytics tool, which uses ML algorithms to predict what the health score of a service may look like in 30 minutes. With these models, I could determine which services required immediate attention before an outage occurs. I also like that Splunk lets you create and add templates to standardize incident responses.

    Integrations include pre-built and native applications that are available via Splunkbase — a marketplace of apps and add-ons for Splunk.

    Pros and Cons

    Pros:

    • Offers flexible deployment options
    • Has a range of pre-built and native integrations
    • Powerful search and analytics capabilities

    Cons:

    • Requires training for users to utilize all features
    • Uses a resource-intensive architecture
    Learn more about Splunk:

    • Check out Splunk on their website
    • Read my in-depth review of Splunk