10 beste AIOps-Plattformen im Jahr 2026

Atera brings together remote-monitoring, helpdesk, automation and AI into one cloud-based platform — a practical pick if you manage a fleet of devices or support many end users. It’s especially appealing for small to mid-size IT teams or managed service providers (MSPs) who want better visibility into their infrastructure and a simpler way to handle tickets, patching and endpoint health.

Why I Picked Atera

I picked Atera because it evolves the classic RMM + PSA model by embedding AI that actively assists your team — for example via AI Copilot and Autopilot — to reduce manual toil. Its automated script generation and ticket-summary features let your staff handle issues faster, and the ability for Autopilot to autonomously address common end-user problems reduces repetitive load. This helps your team focus on more strategic tasks, while routine IT operations become more predictable and less hands-on.

Atera Key Features

In addition to its AI-driven functionalities, Atera offers:

• Patch Management: Atera automates the deployment of software updates, ensuring your systems remain secure and up-to-date.
• Ticketing System: This feature allows you to manage and track IT support requests efficiently, improving response times and customer satisfaction.
• Reporting and Analytics: Gain insights into your IT infrastructure with comprehensive reports and analytics, helping you make informed decisions.
• Remote Access: Securely connect to your clients' devices from anywhere, providing timely support and reducing downtime.

Atera Integrations

Native integrations include Acronis, Splashtop, Bitdefender, Keeper, and IT Glue. Atera also offers an API for custom integrations, enhancing its flexibility to fit into your existing IT ecosystem.

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.

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.

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.

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.

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.

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.

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.

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.

BigPanda’s AIOps tool uses intelligent automation to help organizations detect and resolve IT incidents to ensure continuous service availability.

Why I picked BigPanda: BigPanda has all the features you’d expect from an AIOps platform, like data aggregation, incident analysis, and alert correlation. But the reason I listed BigPanda here is because of its robust analytics and reporting. Its dashboard makes it easy to visualize key trends and understand the operational health of your infrastructure.

BigPanda Standout Features and Integrations:

Features that stood out to me about BigPanda during my testing are its generative AI that automatically creates titles and descriptions for incidents. You can give these descriptions a thumbs or down, which improves the AI-generated summary. I also like that the system conducts an incident analysis and surfaces probable root causes in real time.

Integrations are available natively with various platforms and services, such as Splunk, Nagios, Jenkins, Jira, ServiceNow, Slack, and Asana.