For Data Conscious Companies

Lykuid Overview

DevOps teams responsible for maintaining cloud services are under constant pressure to resolve issues quickly.  Lykuid was designed to help these teams find and resolve problems fast so they can move on to other development jobs.  Lykuid takes a new approach to application monitoring by applying advanced machine learning to automate troubleshooting tasks.  Lykuid’s artificial intelligence engine not only learns from applications and infrastructure, but also from user interactions.

Predictive Analytics

Lykuid’s advanced machine learning engine learns from the complex, interrelated patterns of behavior between cloud applications and services to provide powerful insights for high performing engineering teams. Legacy approaches to cloud monitoring use single dimension anomaly detection techniques or threshold settings to detect issues. These traditional approaches don’t take into account the high dimensionality of cloud infrastructure and the complex interactions between resources that drive most abnormal behavior.

Incident Discovery

Lykuid identifies hidden patterns of interrelated behavior across cloud resources, and provides actionable insights for high-performing engineering teams.

Self Maintaining

Lykuid uses adaptive machine learning to self-learn and self-optimize. This method eliminates the need to set and maintain alert thresholds manually.

Early Warning

Lykuid’s advanced machine learning engine identifies early indicators of impending issues so teams can take action before business is negatively impacted.

Can’t Wait?