Predict Outages, Server-downtime, Security attacks, Performance issues and More with Your Logs
Monitor Predict RCA Fix
Irrespective of where-ever in the world your logs sources are, we are on it. Get instant visualization through dashboards, charts, alerts and notifications from real-time predictive analytics platform
Monitor your logs, metrics or events, data with a centralized visibility
Pro-actively and accurately detect malicious attacks, IT security breaches, critical threats, maintenance and downtimes.
Put your logs to work. Swiftly search and gain insights, find critical answers to your decisions and troubleshoot issues quickly.
Work smarter and faster, not harder and slower, integrate with teams and find rapid fix.
While the market offers performance monitoring, logging tools, user experience monitoring, events and metrics monitoring, IQLECT’s log monitoring and analysis platform is a whole bunch of a new experience and capability, integrating Machine learning and Artificial Intelligence, Real-time predictive analytics in the best way.
We bridge the gap between performance monitoring, real-time user monitoring, transaction log visibility in one dynamic solution dashboard.
Suits all environments, use-cases and applications and provides AI-powered insights in real-time about automatic host discoveries, events, logs and more. Accurately monitor anomalies and downtimes with beyond human capabilities.
Customizable alert and notifications rule for any log stream from any source. Improve your performance related to any events or metrics, hardware or software through real-time log analysis visualized in real-time charts and dashboards.
Go beyond log management. Correlate logs, monitor performance of logs and metrics under one roof and gain a centralized visibility Extract customized KPIs from any log source and monitor the growth and performance. Build charts and visualizations and templates on top of your log or event KPI
Use our Machine-learning platform to train your models and predict future performance issues, downtime, maintenance window, abnormalities, security breaches, failure detection, fraud detection and more.