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September 2019. IATS concluding symposium 12/09/2019 Martin Van Den Abeele. Cloud solutions from oXya. We run your SAP ( enterprise software to manage business operations and customer relations ). Customer Infrastructure. Dedicated Cloud. Shared Cloud. Key figures.
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September 2019 IATS concluding symposium 12/09/2019 Martin Van Den Abeele
Cloud solutions from oXya We run your SAP (enterprise software to manage business operations and customer relations ) Customer Infrastructure Dedicated Cloud Shared Cloud
Key figures We run your SAP 2019 + 8 % Annual growth Pure SAP Player 133 M$ 2018 Turnover High Customer Satisfaction 750 Employees Managed Services All Inclusive oXya A Hitachi Group Company 1998
International organization Worldwide presence Southampton Montreal Kortrijk Leuven Toronto Tokyo Barcelona Shanghai SanJose Paris Somerset Lille Denver Jersey city Emerainville Plano Lyon Pau Nice Nantes • SAP experts organized in SAP Basis Administration teams • 24/7 Secured Hosting infrastructure with Datacenters located in America, Europe & Asia • Global technical services: Support / Remote operations / Basis application management Service Center 24/7 monitoring Data centers
Benelux References We run your SAP
Service delivery Organization An efficient delivery model oXya Client Executive Service Delivery Manager Monitoring Data Centers Administration (Incidents & Problem management) 16 Technical Coordinators 130 Operators Infrastructure Team #2 Team #5 Team #n Team #1 Team #3 Team #4 Experts Security Change Management Network SAP OS DB Tools DRP Projects SteeringCommitee SLA Incidents Management
Operational Process Over 1.8 Billion checks performed • 24/7 Monitoring and Operation • 24/7 Monitoring by SAP technicians • Pro-active monitoring • Monitoring process using: • SAP standard tools • Monitoring Equipment & Applications • Escalation processes specific for each customer • Integrated portal for all oXya processes (incidents, tickets, notes, etc.) • Daily reporting customized to fit customer needs • Run book (tasks, procedures, escalation processes, notes) Management 3 monitoring sites with the ability to backup each others Coordinators 130 operators workingin 8 hourshift24/7/365 Operators Over 92,400 change requesttickets
We run your SAP: Services Stack coverage Monitoring Monitoring Monitoring Monitoring Monitoring
“Analysis of processed transactions in SAP”Can we predict the normal response time of SAP transactions ? in this way produce alerts when the behavior of these response times is deviating. Processing Time # active users Wait time Steps /transaction Available free dial processes Available CPU Roll wait time Available servers Response Time Available free batch processes swapping db request time paging Transfered Kbytes volume I/O response time memory usage # active jobs DB Time Data usage Available memory
Data source : dataExported business transactions details (STAD transaction)response times: about 80 columns / Millions of records Example of log data of SAP
Objective: Can we create a response time model that can predict the normal response time ? This to be able to create online alerts during anomaly detection logs @ ELK DB SAP STAD records Offline Transfer of data ) 2) Create a module to predict response time 1) Train and create model forresponsetime module ELK DB Campus De Nayer
Objective: Can we create a response time model that can predict the normal response time ? This to be able to create online alerts during anomaly detection @ logs ELK DB Use this module to predict response times to have online anomaly detection with online alerting SAP STAD records