AIOps, Artificial Intelligence for IT operations, is the critical paradigm shift that is required to handle these digital transformation issues.
Our module, Matilda AIOps, coupled with intelligent automation enhances the efficiency of operations and allows for Enterprise systems to implement self-healing before an incident occurs. The autonomous platform enables streamlining of alert handling workflows between IT operations and IT service management, thereby reducing the meantime to resolution (MTTR). Other capabilities include enhanced anomaly detection, event correlation and automated root cause analysis (RCA).
Are you ready to take your IT operations to the ‘Power of 10’ with Matilda Cloud AIOps?
Infrastructure is becoming increasingly complex with organisations shifting their applications to a hybrid cloud environment that may include public and/or private clouds to maximise flexibility as well as scalability. One major concern would be accommodating for high availability of your applications round the clock. Matilda AIOps promotes full-stack visibility across the required platforms by factoring in unforeseen demands and failure scenarios. Multi-cloud application monitoring is rendered in a detailed and effective method by gathering cloud-specific insights.
A vast number of alerts that are unrelated and irrelevant take a lot of resources to attend to. It is a time-consuming process and becomes complex in the long run. Matilda AIOps collects comprehensive data extensively and analyses it in depth. Tailored algorithms with machine learning modeling are applied to this data to identify patterns within related applications rapidly with no human intervention, whatsoever. Such events are detected and consolidated into one large event, thereby saving considerable time. Seamless incident collaboration is facilitated by our solution, enabling intelligent prioritization.
With Matilda AIOps advanced anomaly detection framework, static thresholds just became a thing of the past. This allows our platform to distinguish between normal and abnormal trends in your application performance metrics and reduce the recalibration of thresholds across your platforms. Combining these analytics with the already correlated events data, incidents can be raised for truly anomalous events. Faster incident resolution times are realized. With our module, it is possible to trigger autonomous detection of unexpected behavior and fix it before the customer experience is affected, based on actionable insights. Spamming of alerts is drastically reduced and P1 incident prevention is easy to achieve.
Manually analyzing vast sources of data to pinpoint the root cause of the detected anomaly is not feasible. Matilda AIOps prioritizes quick identification of the root cause over investing long durations in root cause analysis. This module provides log analytics that helps troubleshoot anomalies and identify the root cause. The diverse reasons underlying performance issues just got a whole lot easier to recognize with Matilda AIOps. Minimal impact to the end-user is guaranteed with our solution.
Taking a proactive approach towards application monitoring, identifying potential unwarranted scenarios, and executing workarounds ahead of it hampering customer experience are all features that lead to a self-healing operating environment. Matilda AIOps comprises all these capabilities and more. Our platform also has the ability to consume large quantities of data from multiple sources and map incidents to applications in real-time, based on this data. These functions provided by the Matilda AIOps module, play an important part in increasing your application’s efficiency as well as enhance the customer’s experience and ensures self-service.
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