1 / 12

September 2019

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.

claudej
Télécharger la présentation

September 2019

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. September 2019 IATS concluding symposium 12/09/2019 Martin Van Den Abeele

  2. Cloud solutions from oXya We run your SAP (enterprise software to manage business operations and customer relations ) Customer Infrastructure Dedicated Cloud Shared Cloud

  3. 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

  4. 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

  5. Benelux References We run your SAP

  6. 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

  7. 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

  8. We run your SAP: Services Stack coverage Monitoring Monitoring Monitoring Monitoring Monitoring

  9. “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

  10. Data source : dataExported business transactions details (STAD transaction)response times: about 80 columns / Millions of records Example of log data of SAP

  11. 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

  12. 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

More Related