PowerConnect for Advanced SAP Landscape Monitoring
PowerConnect is an SAP and Splunk certified solution which offers out-of-the-box monitoring capabilities for SAP landscapes leveraging Splunk's big-data analysis and visualization capabilities. The monitoring capability allows customers to obtain real-time insights into SAP’s health and performance status with the goal of minimizing unplanned downtime events.
Real-Time SAP Telemetry and Insights
Extract high-fidelity, real-time and historic SAP landscape telemetry data ready for analysis and visualization in Splunk, allowing for more efficient, effective, and holistic SAP landscape operations
Enhanced SAP Performance & Uptime
Advanced and big data algorithms allow for historic and real time analysis to enhance performance and up-time of SAP systems.
Risk Mitigation through Machine Learning
Advanced machine learning algorithms allow detection and prediction of anomalous user behavior and potential security issues across the SAP landscape
Visual Insights & Dashboards
The solution encompasses a rich set of pre-built panels and dashboards providing users visual insights into their SAP landscape in near real-time
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Get more insights with our PowerConnect for SAP and Splunk flyer.
Advanced time-machine dashboard allowing for before & after performance comparisons
Out-of-the-Box preconfigured SAP audit reports
Real-time data informing SAP operational team on security, performance, and business metrics
Detection of anomalous user and/or system usage
Advanced data correlation to identify root cause of failures
Extract rich SAP field values/ data sets
PowerConnect framework to flexibly collect data from custom development tables and other system enhancements
Supporting SAP ABAP, SAP NetWeaver JAVA, non-NetWeaver JAVA, and S/4HANA, and S/4HANA Enterprise Cloud (HEC), SAP Cloud Products
Supporting Splunk Cloud and Splunk Enterprise
What Our Customers Say
Advanced SAP System Monitoring
As part of a dedicated initiative, the customer started their PowerConnect journey in November 2017. Post go-live, the customer immediately reduced downtime incidents by 60% starting from the first month onwards and kept it that way.
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