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·
7:00 AM EDT - The Economics of Cloud Computing - Owen Rogers, 451 Research
·
8:00 AM EDT - An Introduction to Open Source Application
Performance Monitoring (APM) - Dr. Andreas Brunnert, RETIT GmbH
·
9:00 AM EDT- Business Process with Cloud Native Computing:
Overcoming Challenges of Traceability in Micro Services-based Architecture - Yuri Shkuro, Uber Technologies
·
10:00 AM EDT - Customer Experience and the Journey to
Digital Experience Optimization - Dan Boutin, Blue Triangle
·
10:30 AM EDT: Utilizing software defined parallel IO to enable secured,
cloud work-spaces - Andrew Caldwell, R3SOLV
·
11:00 AM EDT - Let’s Get Real About Self-Driven IT Ops - Jeff Henry, CA Technologies
·
12:00 PM EDT - Performance
Unit Testing - Why and When They Work - Erik Squires
·
12:30 PM EDT - The World of Private and Hybrid Cloud - Anthony Maiello, Tier4
·
1:00 PM EDT - Exposing the Cost of Performance Hidden in the
Cloud - Neil J. Gunther, Performance Dynamics
·
1:30 PM EDT - Continuous Load Testing Using Real Browsers
from the Cloud
- Tim Koopmans,
TIRCENTIS, FLOOD IO
·
2:00 PM EDT - Measuring Client Performance & Inventing
Teleportation
- Edward Hunter,
Netflix
·
3:00 PM EDT - How Linux Containers Work - Sasha Goldshtein, SELA Group
·
3:30 PM EDT - Business By The Numbers: Embedded Analytics
for Devices, Edges and Servers - Alan Clark, Telchemy
·
4:00 PM EDT - The Machines are Talking: The Ride of Anomaly
Detection - Shanti
Subramanyam, Orzota, Inc.
·
4:30 PM EDT - Serverless
In Production, An Experience Report - Yan Cui, DAZN
·
5:00 PM EDT - The Journey to Cloud Through the Eyes of a
Chief Architect
- Kim Eckert,
IBM Services
·
6:00 PM EDT - Lessons from Automating Cloud Clients
Installation and Testing - Wilson Mar, JetBloom
·
6:30 PM EDT - How to Effectively Implement and Manage
Blockchain Performance Engineering - Zak Cole,
Whiteblock
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I have got the comment on my previous post “ BIRT based Control Chart “ with questions about how actually in BIRT the data are prepared for ...
Igor Trubin began his engineering career in 1979 as an IBM/370 systems engineer. He earned a Ph.D. in Robotics from St. Petersburg Technical University in 1986 and spent 12 years there as a professor teaching CAD/CAM and Robotics. He has published and presented more than 60 technical papers and conference presentations in robotics, artificial intelligence, IT performance, capacity management, anomaly detection, and FinOps. After moving to the U.S. in 1999, Igor worked at Capital One, IBM, and SunTrust Bank in senior engineering, architecture, and management roles. His 2002 CMG paper on exception detection received a Best Paper Award. He later developed Perfomalist.com, based on his original methods for anomaly, change-point, and trend detection, and created the online course “Performance Anomaly Detection.” At Capital One, he led development of cloud capacity-management and FinOps solutions, including the award-winning OptiCloud application. He has served on the CMG Board of Directors since 2015. Now semi-retired, Igor focuses on research, writing, and consulting. His current work expands his concept of the “Area of Normal Functioning” (ANF) from technical systems to human, orga
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