We help you incrementally deploy AIOps across the four phases of IT operations-oriented machine learning: visualization and statistical analysis, automated pattern discovery, pattern based prediction, and root cause analysis. We have proven use cases for the automation of application, infrastructure and security operations with machine learning.
Building on our Infrastructure Monitoring services, we bring powerful analytics capabilities to help you analyze the deepest corners of your infrastructure. By applying Machine Learning capabilities to the gathered data, patterns and anomalies can be detected to offer you new insights and alerts for action, while saving you time and resources for manual work.
Once started on the AIOps journey, we improve the integration of data streams from previously siloed sources. With our custom use cases, we can build and apply algorithms to particular business situations. Our infrastructure and security expertise gives us the insights and confidence to optimize your AIOps implementation building in a stable environment on your existing technology stack.