Over the past 20 years IT Operations have invested millions of dollars in an effort to improve reliability and efficiency of the infrastructure and continue to struggle with too much noise, long troubleshooting times and increasing OPEX costs. It’s time for a new approach and GROK has the solution.
GROK’s innovative AIOps platform allows organizations to ingest events, logs and performance metrics and apply our proprietary Machine Learning algorithms for event/log clustering and anomaly detection. This creates Machine Learning signatures that feed our proprietary Incident Prediction and Remediation Classification Algorithms resulting in auto-created incidents and intelligent automation.
GROK leverages various machine learning techniques for Event and Log clustering including pattern recognition and dynamic time warping which provides industry leading noise reduction in IT
GROK has developed proprietary machine learning techniques to ingest the output from both the anomaly detection and clustering algorithms to accurately predict IT incidents with significant advanced notification over current Service Assurance methods.
Traditional operations and alerting platforms produce too much noise and force your team to chase down rabbit holes. GROK only alerts your team when it is worth their attention, using machine intelligence to assess the health of all metrics, events and logs on every app or service.
GROK can accept data from any on-premise or cloud resources with its out of the box connectors and REST API. GROK has ingested data from the network infrastructure, applications, servers, IoT connected sensors, solar arrays, and customer experience metrics
GROK can use its insights to trigger actions to tools you trust, conducting complex automations with intelligent triggers that fire the moment there’s a potential issue. For example, you can use GROK to restart a cloud service when its CPU Utilization shows anomalous activity.