Kx for Monitoring helps clients ensure their day-to-day operations run smoothly and on schedule. It provides a set of customizable dashboards that display high-level information on the current status of primary indicators as well as real-time alerts and notifications of issues. Historical data is retained for follow-up investigations and root cause analysis.
Kx for Monitoring is a centralized environment for monitoring infrastructure, applications and processes, with drill-down to detailed information on the causes and location of errors. Millions of signals can be captured and analyzed in real time using the Kx CEP engines. Kx architecture enables rapid horizontal scaling of both the data capture and real-time analysis layers. Each Kx monitoring component can be easily configured to suit the specific needs of the business. Built in compression allows users to efficiently store large volumes of monitoring data historically for analysis.
Kx for Monitoring’s rich visualizations facilitate interactive analysis capabilities on aggregated monitoring data. The graphical display enables users to drill down to explore trends and identify root causes. The varying priorities of different user groups can be met through a single solution with a completely customizable user perspective - interactive analysis capabilities enabling users to slice and dice the signal information to identify root cause components.
Kx for Monitoring delivers high-performance analysis of monitoring data, allowing the user to customize the built-in alerts via parameters – or define custom alerts using the Kx Alerts framework. Multiple alert notification options include UI notifications with built in sound alerts and/or email notifications which can be targeted at different users/user groups based on the underlying data. The user can also extend the notification framework to push alerts to other applications.
Kx for Monitoring is an end-to-end solution that can be swiftly deployed to monitor enterprise applications. An integration API enables the solution to Interface for publishing signals from other in-house systems and applications into Kx for Monitoring enabling cross–enterprise visibility and analysis of processing status. External applications can interface using Java, c, c++, or c#.
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