Ginsbourg.com presentation of performance and load testing 2020Shay Ginsbourg
This document discusses a concurrency and performance validation solution from Ginsbourg.com. It uses Apache JMeter, an open source load testing tool, on Linux/Windows servers to test client-side performance and concurrency. Apache JMeter can test many types of applications and protocols including web apps using HTTP/HTTPS, databases via JDBC, and more. It was designed for load testing web apps but has expanded to other test functions.
The document discusses Apache JMeter, an open source tool for load testing web applications. It provides an overview of JMeter's capabilities including load testing web and non-web applications using various protocols. The document also summarizes new features between versions 4.0-5.0 such as new extractors for XML/JSON and an JSON assertion. It discusses using JMeter to convert LoadRunner scripts and record from mobile applications.
Ginsbourg.com - Performance and load test report template ltr 2.0Shay Ginsbourg
This document provides a template for a performance and load testing report. It includes sections on the scope of testing, system details, test scenarios, results including statistics and resource monitoring, analysis, and conclusions. The template aims to document the settings, outcomes, and insights from load tests conducted on a system to evaluate its performance and scalability under stressful conditions.
Apache Jmeter 3.2 is an open source performance testing tool for load and functional testing of web applications. It can test HTTP, HTTPS, FTP, TCP, databases via JDBC, LDAP, mail protocols and more. Jmeter is a 100% Java application that is lightweight and can run on Linux/Windows. It is recommended to have an Intel Core i5 CPU, 32GB RAM, 500GB HD or SSD, 1GB Ethernet, 30M upload and download bandwidth for optimal performance testing with Jmeter.
Ginsbourg.com - Performance and Load Test Report Template LTR 1.5Shay Ginsbourg
This document summarizes the results of load and performance tests conducted on a web application. The tests were run using JMeter on Linux servers with varying numbers of virtual users from 10 to 200. Key metrics like response times, throughput, memory and CPU usage were monitored during the tests to analyze system performance under increasing load. The results revealed that the application could handle up to 150 concurrent users before degradation in response times.
Shay Ginsbourg is an independent regulatory and testing consultant who has over 15 years of experience in medical device software verification and validation. He provides consulting services related to regulatory submissions, quality systems, and performance testing. His experience includes managing testing teams and working with various medical device and software companies to help obtain FDA and CE markings.
Ginsbourg.com - Performance and Load Test Report Template LTR 1.2Shay Ginsbourg
This report summarizes the results of performance and load testing of a server application. It includes details of 14 test cases conducted with varying numbers of virtual users, frame rates, and enhancement settings. The tests measured response times for key transactions and the impact of different parameter values on initial buffering time and frame playback. The report concludes that within the tested ranges, frame rate had more impact on performance than the enhancement setting.
Ginsbourg.com presentation of performance and load testing 2020Shay Ginsbourg
This document discusses a concurrency and performance validation solution from Ginsbourg.com. It uses Apache JMeter, an open source load testing tool, on Linux/Windows servers to test client-side performance and concurrency. Apache JMeter can test many types of applications and protocols including web apps using HTTP/HTTPS, databases via JDBC, and more. It was designed for load testing web apps but has expanded to other test functions.
The document discusses Apache JMeter, an open source tool for load testing web applications. It provides an overview of JMeter's capabilities including load testing web and non-web applications using various protocols. The document also summarizes new features between versions 4.0-5.0 such as new extractors for XML/JSON and an JSON assertion. It discusses using JMeter to convert LoadRunner scripts and record from mobile applications.
Ginsbourg.com - Performance and load test report template ltr 2.0Shay Ginsbourg
This document provides a template for a performance and load testing report. It includes sections on the scope of testing, system details, test scenarios, results including statistics and resource monitoring, analysis, and conclusions. The template aims to document the settings, outcomes, and insights from load tests conducted on a system to evaluate its performance and scalability under stressful conditions.
Apache Jmeter 3.2 is an open source performance testing tool for load and functional testing of web applications. It can test HTTP, HTTPS, FTP, TCP, databases via JDBC, LDAP, mail protocols and more. Jmeter is a 100% Java application that is lightweight and can run on Linux/Windows. It is recommended to have an Intel Core i5 CPU, 32GB RAM, 500GB HD or SSD, 1GB Ethernet, 30M upload and download bandwidth for optimal performance testing with Jmeter.
Ginsbourg.com - Performance and Load Test Report Template LTR 1.5Shay Ginsbourg
This document summarizes the results of load and performance tests conducted on a web application. The tests were run using JMeter on Linux servers with varying numbers of virtual users from 10 to 200. Key metrics like response times, throughput, memory and CPU usage were monitored during the tests to analyze system performance under increasing load. The results revealed that the application could handle up to 150 concurrent users before degradation in response times.
Shay Ginsbourg is an independent regulatory and testing consultant who has over 15 years of experience in medical device software verification and validation. He provides consulting services related to regulatory submissions, quality systems, and performance testing. His experience includes managing testing teams and working with various medical device and software companies to help obtain FDA and CE markings.
Ginsbourg.com - Performance and Load Test Report Template LTR 1.2Shay Ginsbourg
This report summarizes the results of performance and load testing of a server application. It includes details of 14 test cases conducted with varying numbers of virtual users, frame rates, and enhancement settings. The tests measured response times for key transactions and the impact of different parameter values on initial buffering time and frame playback. The report concludes that within the tested ranges, frame rate had more impact on performance than the enhancement setting.
Ginsbourg.com - Presentation of a Plan for Medical Device Software Validation...Shay Ginsbourg
This document outlines a 10-step plan for medical device software validation and verification presented by Ginsbourg.com. It discusses past issues with inadequate medical device software testing, like the Therac-25 radiotherapy accident that killed patients. The FDA regulates medical mobile apps and other software as medical devices based on risk. The plan involves performing risk analysis, documenting requirements and design, developing a test plan, and maintaining records of testing and releases.
Ginsbourg.com - Contract Review - Medical Device Verification QualificationShay Ginsbourg
This document is a contract review for medical device verification and qualification that contains questions to gather information about a company's quality management systems, certifications, regulatory submissions and approvals, and specific details about a medical device or production line that requires verification or validation. It requests details about ISO and IEC certifications, FDA and CE marking history, whether the device contains software and risk management processes, as well as information on requirements management, test planning, and Part 11 compliance for electronic records if applicable. The review is intended to assess the company's quality level and prepare for a verification or validation project.
Ginsbourg.Com - Performance and load test script template 1.2Shay Ginsbourg
This document provides a test script description for load and performance testing of mobile applications. It outlines clients and scenarios to be tested, protocols and services used, expected data and criteria, minimum system requirements, and detailed descriptions of test scenarios including steps, validations, and expected responses.
Ginsbourg.com - Presentation of Medical Device ROHS2 Challenges in 2014Shay Ginsbourg
The document discusses the challenges medical device companies will face in complying with the Restriction of Hazardous Substances (RoHS) Directive and RoHS 2. It notes that medical devices will be included in RoHS 2 starting in 2014. It identifies conducting conformity assessments and using software tools to manage compliance information as two key ways for companies to meet the compliance challenge posed by the new regulations.
Ginsbourg.com - Presentation of Open Source Performance Software Validation i...Shay Ginsbourg
Apache JMeter is an open source load testing tool that is designed to test web applications and measure performance. It can test HTTP, HTTPS, databases, LDAP, JMS, mail protocols and more. The Google JMeter plugin adds additional graphs, pivot tables, distributions and other functionality for load testing and monitoring server performance with JMeter. The User Agent Switcher Firefox extension was created to emulate different devices for load testing purposes and to bypass sites that block certain browsers.
Ginsbourg.com - Presentation of Mobile Web Performance Validation Solution 2015Shay Ginsbourg
This document discusses a mobile web performance validation solution. It describes using Apache JMeter, a load testing tool, to test websites on different devices by changing the user agent. The JMeter plug-in allows switching user agents to emulate browsers on computers, phones and tablets. This helps test responsiveness and how the site performs on various devices. Graphs and reports in the plug-in show metrics like response times, throughput and server hits to analyze mobile performance.
Human erythrocyte filterability at low driving pressure version 7.1Shay Ginsbourg
Abstract
In this study, the human RBC capillary flow has been modeled by passing 11 l of
RBC suspension (Hematocrit = 6%) in phosphate buffer solution (PBS) of a viscosity
of 1 and 2.6 cP (in the presence of 2% Dextran) through 5 m pore diameter
polycarbonate Nuclepore filters. We’ve developed a digitally controlled experimental
system for measuring the RBC filterability at a constant driving pressure, in the range
of 10 to 400 Pa, producing a wall shear stress range of 1 to 50 Pa. The RBC
filterability was evaluated by measuring the cell suspension flow rate normalized by
the PBS flow rate. The RBC filterability has been found to be a nonlinear function of
the driving pressure, having a single minimum locus at 25 Pa. Lowering the driving
pressure below 25 Pa revealed an unexpected increase of the RBC filterability.
The maximal RBC filterability (near unity) was detected at the lowest driving
pressure (10 Pa) and the corresponding estimated RBC linear velocity while traveling
through the capillary pore was as high as 800 m/sec. Increasing the driving pressure
above 25 Pa confirmed previous results, where RBC filterability is monotonically and
asymptotically increasing. Increasing the PBS medium viscosity from 1 to 2.26 cP
significantly attenuated the RBC filterability and led to the anomalous increase of
RBC deformability at the 10Pa pressure range. We propose that the anomalous
increase in RBC deformability was caused by RBCs undergoing spontaneous
mechanical fluctuations.
Ginsbourg.com - Presentation of a Plan for Medical Device Software Validation...Shay Ginsbourg
This document outlines a 10-step plan for medical device software validation and verification presented by Ginsbourg.com. It discusses past issues with inadequate medical device software testing, like the Therac-25 radiotherapy accident that killed patients. The FDA regulates medical mobile apps and other software as medical devices based on risk. The plan involves performing risk analysis, documenting requirements and design, developing a test plan, and maintaining records of testing and releases.
Ginsbourg.com - Contract Review - Medical Device Verification QualificationShay Ginsbourg
This document is a contract review for medical device verification and qualification that contains questions to gather information about a company's quality management systems, certifications, regulatory submissions and approvals, and specific details about a medical device or production line that requires verification or validation. It requests details about ISO and IEC certifications, FDA and CE marking history, whether the device contains software and risk management processes, as well as information on requirements management, test planning, and Part 11 compliance for electronic records if applicable. The review is intended to assess the company's quality level and prepare for a verification or validation project.
Ginsbourg.Com - Performance and load test script template 1.2Shay Ginsbourg
This document provides a test script description for load and performance testing of mobile applications. It outlines clients and scenarios to be tested, protocols and services used, expected data and criteria, minimum system requirements, and detailed descriptions of test scenarios including steps, validations, and expected responses.
Ginsbourg.com - Presentation of Medical Device ROHS2 Challenges in 2014Shay Ginsbourg
The document discusses the challenges medical device companies will face in complying with the Restriction of Hazardous Substances (RoHS) Directive and RoHS 2. It notes that medical devices will be included in RoHS 2 starting in 2014. It identifies conducting conformity assessments and using software tools to manage compliance information as two key ways for companies to meet the compliance challenge posed by the new regulations.
Ginsbourg.com - Presentation of Open Source Performance Software Validation i...Shay Ginsbourg
Apache JMeter is an open source load testing tool that is designed to test web applications and measure performance. It can test HTTP, HTTPS, databases, LDAP, JMS, mail protocols and more. The Google JMeter plugin adds additional graphs, pivot tables, distributions and other functionality for load testing and monitoring server performance with JMeter. The User Agent Switcher Firefox extension was created to emulate different devices for load testing purposes and to bypass sites that block certain browsers.
Ginsbourg.com - Presentation of Mobile Web Performance Validation Solution 2015Shay Ginsbourg
This document discusses a mobile web performance validation solution. It describes using Apache JMeter, a load testing tool, to test websites on different devices by changing the user agent. The JMeter plug-in allows switching user agents to emulate browsers on computers, phones and tablets. This helps test responsiveness and how the site performs on various devices. Graphs and reports in the plug-in show metrics like response times, throughput and server hits to analyze mobile performance.
Human erythrocyte filterability at low driving pressure version 7.1Shay Ginsbourg
Abstract
In this study, the human RBC capillary flow has been modeled by passing 11 l of
RBC suspension (Hematocrit = 6%) in phosphate buffer solution (PBS) of a viscosity
of 1 and 2.6 cP (in the presence of 2% Dextran) through 5 m pore diameter
polycarbonate Nuclepore filters. We’ve developed a digitally controlled experimental
system for measuring the RBC filterability at a constant driving pressure, in the range
of 10 to 400 Pa, producing a wall shear stress range of 1 to 50 Pa. The RBC
filterability was evaluated by measuring the cell suspension flow rate normalized by
the PBS flow rate. The RBC filterability has been found to be a nonlinear function of
the driving pressure, having a single minimum locus at 25 Pa. Lowering the driving
pressure below 25 Pa revealed an unexpected increase of the RBC filterability.
The maximal RBC filterability (near unity) was detected at the lowest driving
pressure (10 Pa) and the corresponding estimated RBC linear velocity while traveling
through the capillary pore was as high as 800 m/sec. Increasing the driving pressure
above 25 Pa confirmed previous results, where RBC filterability is monotonically and
asymptotically increasing. Increasing the PBS medium viscosity from 1 to 2.26 cP
significantly attenuated the RBC filterability and led to the anomalous increase of
RBC deformability at the 10Pa pressure range. We propose that the anomalous
increase in RBC deformability was caused by RBCs undergoing spontaneous
mechanical fluctuations.