For Data Conscious Companies
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.
Lykuid’s Artificial Intelligence
Downtime can cost enterprises significant revenues. Lykuid’s searchable, dynamic narratives are used to communicate to all impacted parties and to collect feedback from the teams involved in resolving issues. Lykuid combines unsupervised and supervised learning models that continually provide insight to users and this insight becomes more relevant to users over time, making Lykuid’s platform a tool of ever increasing value.
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.
Lykuid utilizes machine learning to solve the challenges faced within cloud and application monitoring. We combine unsupervised and supervised machine learning models to continuously learn what information and insight is most relevant to our users.
We understand just reducing noise isn’t enough. The need to make quick decisions based on real operational context is more important now than ever. At Lykuid, we interpret – and contextualize – insights from your data to provide quick access to the most important, relevant, and actionable intelligence.
Lykuid shows predictive recommendations related to your solution search. When visualizing data, Lykuid automatically recommends “solution-oriented” items related to an incident.
The growing user base that now uses Lykuid is becoming a community, a community all seeking to find, and use predictive answers to pressing engineering support issues. Lykuid’s platform provides recommendations that use that collective, community intelligence to go beyond simple correlations. This process leverages the entire base of Lykuid users to achieve the best outcomes for all.
Lykuid identifies hidden patterns of interrelated behavior across cloud resources, and provides actionable insights for high-performing engineering teams.
Lykuid uses adaptive machine learning to self-learn and self-optimize. This method eliminates the need to set and maintain alert thresholds manually.
Lykuid’s advanced machine learning engine identifies early indicators of impending issues so teams can take action before business is negatively impacted.