Popular Post
-
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 ... -
Re-posting interesting article from R-vs.-Python-for-Data-Science R vs. Python for Data Science Norm Matloff, Prof. of Computer ...
Wednesday, December 9, 2015
Azure vs. AWS
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
Tuesday, December 8, 2015
"The Challenge of Fairly Comparing Cloud Providers and What We're Doing About It" and "Benchmarking the Cloud" CMG'15 session
UPDATE: check the next post for this topic here:
Public Clouds Comparisons
This video presentation is very similar with CMG'15 presentation I have attended: "Benchmarking the Cloud" by Eric Hankland (Google, USA)
Abstract: The Google Cloud Performance team is responsible for the competitive analysis of Google Cloud products. This talk will cover the problems the team faces benchmarking Google Cloud Platform, some of the solutions we adopted, as well as two of our tools.
Public Clouds Comparisons
This video presentation is very similar with CMG'15 presentation I have attended: "Benchmarking the Cloud" by Eric Hankland (Google, USA)
Abstract: The Google Cloud Performance team is responsible for the competitive analysis of Google Cloud products. This talk will cover the problems the team faces benchmarking Google Cloud Platform, some of the solutions we adopted, as well as two of our tools.
Interesting that the CMG presentation also provided some interesting benchmaring for other public cloud providers including
- www.rackspace.com (price starts frpm 3 c/hour for LAMP stack instance)
- and some others
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
Thursday, December 3, 2015
The Difference Between Microsoft Azure & Amazon AWS
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
Wednesday, December 2, 2015
"#cloud service providers aren’t motivated to help businesses save money on their services"
"... cloud service providers aren’t motivated to help businesses save money on their services. If businesses using the cloud are reacting to problems, instead of proactively avoiding them through good planning, then they’re more likely to spend the extra money on last-minute solutions..."
I have just ran into this very interesting point of view on the Capacity Planning for cloud based IT expressed by two major Capacity Management tools vendors (TeamQuest and Fluke Networks - I have used their tools in the past).
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