AIOps is fundamentally transforming how IT teams monitor and manage their infrastructures. Behind this acronym – Artificial Intelligence for IT Operations – lies a concrete approach: using artificial intelligence to automate, enhance, and accelerate the management of IT operations.
So, what exactly is AIOps? And how does Canopsis fit into this trend? That’s what we’ll explore in this article!
AIOps: Definition and Origins
Designed to make operations more reliable, faster, and easier, AIOps is an approach that:
- continuously monitors your IT environments,
- anticipates anomalies,
- and automates essential actions.
The term was first defined by Gartner in 2016. Combining “artificial intelligence” and “IT operations,” it describes the application of AI and machine learning to improve IT operations.
Since then, the concept has long since moved beyond being just a buzzword. Today, it refers to an operational reality for IT teams that manage complex, hybrid, and/or multi-source infrastructures.
In practical terms, an AIOps platform aggregates vast amounts of data from applications, networks, and infrastructure. It analyzes this data using AI to:
- isolate the relevant signals,
- identify root causes,
- and trigger automated corrective actions.
Why is it gaining prominence today?
IT environments have never been more complex. The volume of events is increasing, ops teams are overwhelmed by alerts, and manual monitoring is reaching its limits.
In addition, AIOps improves IT operations in several ways: intelligent monitoring helps identify potential issues before they cause outages, reducing the mean time to detection by 15 to 20%. Furthermore, AI-enhanced IT service management reduces critical incidents by more than 50%.
These are concrete, measurable benefits that directly appeal to CIOs and operations managers. Fewer critical incidents, teams with less time spent on repetitive tasks, and maximum IT system availability.
AIOps and hypervision: a natural pairing
Hypervision—that is, the centralization and correlation of all events within an information system—is the natural domain of AIOps. Whereas traditional monitoring detects and displays, AI-enhanced hypervision analyzes, correlates, learns, and makes recommendations.
This is precisely the direction Canopsis, our French, sovereign open-source hypervision solution, is taking. Published by Capensis for the past 15 years, Canopsis centralizes IT events, reduces alarm noise, and enables teams to maintain control over their infrastructure. With Canopsis 26.04, the platform takes another step toward AIOps.
As a result, two major features are being introduced:
- A built-in AI assistant: It allows users to create complex filters using natural language, without needing to know JSON syntax. The assistant is familiar with the available fields and the constraints specific to each type of rule. The result is immediate: fewer errors, greater autonomy, and a faster learning curve.
- An anomaly detection service: Based on the Isolation Forest algorithm, it monitors the frequency of events sent by each connector and automatically detects abnormal behavior, whether the volume is too high or too low. This is the first building block of predictive intelligence directly integrated into the platform.
AIOps doesn’t replace your teams—it frees them up
One key point is worth emphasizing. AIOps is not intended to replace engineers and operations staff. It automates low-value-added tasks so that teams can focus on what really matters: analyzing, making decisions, and improving.
AIOps platforms use machine learning for anomaly detection, root cause analysis, noise reduction, and even autonomous remediation, reducing the mean time to resolution by 40 to 60 percent and freeing teams from alert fatigue.
In other words, AIOps makes your ops teams more efficient, not redundant.
Capensis: A Partner for Your Transition to AIOps
Adopting an AIOps approach is about more than just installing a tool. It involves rethinking event flows, correlation rules, and key performance indicators. That’s exactly where Capensis comes in—the Northern French digital services company specializing in open-source infrastructure and the developer of Canopsis.
Since 2002, Capensis has been providing its partner clients with sustainable, reliable, and customized infrastructure solutions, offering a genuine alternative to proprietary environments.
Its teams of experts provide services ranging from integration to support, including training and consulting. As a result, they understand the real challenges faced by operations teams: traffic spikes, false positives, heterogeneous tools, and availability requirements.
As a result, choosing Canopsis along with Capensis support means benefiting from a French, open-source, and sovereign AIOps platform, backed by a team that understands your business!
In summary
In conclusion, AIOps is no longer a distant promise. It is, in fact, an operational reality—accessible and already integrated into Canopsis. Anomaly detection, AI assistant, intelligent correlation: the building blocks are in place and continue to evolve with each new version.
But beyond the features, it’s a shift in philosophy. Ops teams are no longer at the mercy of their infrastructure—they anticipate it. They no longer react to every alert—they focus on what really matters. AIOps, therefore, gives time and peace of mind back to teams that are often under pressure.
At Canopsis and Capensis, we firmly believe that this transition must be managed effectively. That’s why we guide you every step of the way: auditing your event streams, configuring correlation rules, training your teams, providing ongoing support…
In short, the goal is simple: to help you get the most out of Canopsis from day one!
Want to see AIOps in action in Canopsis? 👉 Request a demo from our teams.