IEEE AR CIS - Automatic Log Analysis
Automatic Log Analysis
In computing context, a log is an automatically produced and time-stamped documentation of events related to a particular event. All systems and applications produce log files. Log analysis helps us in understanding what has happened and derive useful metrics in monitoring, performance, digital marketing etc. Log analytics helps us in performing real time analysis of large scale data and obtain insights for a wide variety of applications such as digital marketing, application monitoring, fraud detection, ad tech, IoT etc
Date and Time
Location
Hosts
Registration
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Add Event to Calendar
- Webinar format, audience must connect via Webex Meeting
- Salta, Salta
- Argentina
- Contact Event Host
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Daniela López de Luise, Ph.D.
- Starts 01 November 2019 12:00 PM UTC
- Ends 13 November 2019 11:15 PM UTC
- No Admission Charge
Speakers
Gabriel Orce of Zivra Argentina. DevOps Lead.
Automatic Log Analysis
Gabriel has more than 12 years of experience in information technology, with 7 years in the specific topic of DevOps. He held related positions in United States and Argentina. His fields of expertise comprises: Tools and Technologies to support SCM, Deliverables Management, Deployment/Compilation Process Management, and Development Environments management. Gabriel has a degree in Computer Engineering at Universidad Nacional de Tucuman, Argentina, and his current position is DevOps Lead at Zivra Argentina
Email:
Address:Salta, Argentina
Automatic Log Analysis