The document provides information about performance testing with JMeter including example steps to write a JMeter script for a sample performance test scenario. The summary is:
The document discusses writing a JMeter script to simulate 30 concurrent users each sending 600 orders over 3 minutes to test the performance of an order processing system. It provides details on setting up thread groups, variables, CSV data configuration, HTTP requests, assertions and includes example XML payloads and JMeter script structure. Flexibility in JMeter is discussed including using BeanShell scripting and plugins to add custom functionality.
Performance testing using Jmeter for apps which needs authenticationJay Jha
The document provides an overview of performance testing using JMeter. It discusses different types of performance testing like load testing, stress testing, and spike testing. It then describes how to install and configure JMeter, including downloading JMeter, installing Java, adding HTTP requests, CSV data sets, listeners, and more. The document walks through recording a test plan in JMeter and provides an example of comparing the performance of an application under 5 users versus 50 users.
The document discusses performance testing. It defines performance testing as determining how fast and stable a system is. It outlines why performance testing is important to identify problems early, prevent revenue and credibility loss from poor performance, and ensure systems meet expectations. It also discusses various performance testing terms, metrics, processes, limitations of manual testing, and benefits of automation using tools like LoadRunner and JMeter.
Performance testing with JMeter provides an introduction to key concepts and how to implement performance tests using JMeter. Some important steps include designing test plans, preparing the environment, determining metrics and goals, notifying stakeholders, and using JMeter elements like thread groups, samplers, listeners, assertions and configuration elements to simulate load and measure performance. JMeter is an open source tool that can run in GUI or non-GUI mode for load testing web applications and determining maximum operating capacity and bottlenecks under heavy loads.
JMeter is an Apache Jakarta project that can be used as a load testing tool for analyzing and measuring the performance of a variety of services, with a focus on web applications.
www.silenceit.ca
Security testing is performed to identify vulnerabilities in a system and ensure confidentiality, integrity, authentication, authorization, availability and non-repudiation. The main techniques are vulnerability scanning, security scanning, penetration testing, ethical hacking, risk assessment, security auditing, and password cracking. Security testing helps improve security, find loopholes, and ensure systems work properly and protect information.
Performance testing involves testing a system to determine how it performs under a particular workload. The document discusses various types of performance testing like load/capacity testing, stress testing, volume testing, endurance testing, and spike testing. It also discusses concepts like bottlenecks, prerequisites for performance testing, popular load testing tools like JMeter, and how to use key JMeter features for performance testing like adding users, HTTP requests, listeners, parameterization, correlation, assertions, and distributed testing.
The document provides information about performance testing with JMeter including example steps to write a JMeter script for a sample performance test scenario. The summary is:
The document discusses writing a JMeter script to simulate 30 concurrent users each sending 600 orders over 3 minutes to test the performance of an order processing system. It provides details on setting up thread groups, variables, CSV data configuration, HTTP requests, assertions and includes example XML payloads and JMeter script structure. Flexibility in JMeter is discussed including using BeanShell scripting and plugins to add custom functionality.
Performance testing using Jmeter for apps which needs authenticationJay Jha
The document provides an overview of performance testing using JMeter. It discusses different types of performance testing like load testing, stress testing, and spike testing. It then describes how to install and configure JMeter, including downloading JMeter, installing Java, adding HTTP requests, CSV data sets, listeners, and more. The document walks through recording a test plan in JMeter and provides an example of comparing the performance of an application under 5 users versus 50 users.
The document discusses performance testing. It defines performance testing as determining how fast and stable a system is. It outlines why performance testing is important to identify problems early, prevent revenue and credibility loss from poor performance, and ensure systems meet expectations. It also discusses various performance testing terms, metrics, processes, limitations of manual testing, and benefits of automation using tools like LoadRunner and JMeter.
Performance testing with JMeter provides an introduction to key concepts and how to implement performance tests using JMeter. Some important steps include designing test plans, preparing the environment, determining metrics and goals, notifying stakeholders, and using JMeter elements like thread groups, samplers, listeners, assertions and configuration elements to simulate load and measure performance. JMeter is an open source tool that can run in GUI or non-GUI mode for load testing web applications and determining maximum operating capacity and bottlenecks under heavy loads.
JMeter is an Apache Jakarta project that can be used as a load testing tool for analyzing and measuring the performance of a variety of services, with a focus on web applications.
www.silenceit.ca
Security testing is performed to identify vulnerabilities in a system and ensure confidentiality, integrity, authentication, authorization, availability and non-repudiation. The main techniques are vulnerability scanning, security scanning, penetration testing, ethical hacking, risk assessment, security auditing, and password cracking. Security testing helps improve security, find loopholes, and ensure systems work properly and protect information.
Performance testing involves testing a system to determine how it performs under a particular workload. The document discusses various types of performance testing like load/capacity testing, stress testing, volume testing, endurance testing, and spike testing. It also discusses concepts like bottlenecks, prerequisites for performance testing, popular load testing tools like JMeter, and how to use key JMeter features for performance testing like adding users, HTTP requests, listeners, parameterization, correlation, assertions, and distributed testing.
This summarises the process involved in designing UX and UI at Botmetric. Will be useful for SaaS startups incorporating design sprint as part of their overall DEV process.
The document discusses lessons learned from scaling Hadoop and big data processing on Amazon EMR. It describes how EMR provides a scalable and cost-effective way to run Hadoop jobs in the cloud without having to manage infrastructure. While EMR enables bootstrapping large clusters easily, performance can vary due to network issues and disk I/O constraints of different instance types. The document outlines best practices for optimizing Hadoop jobs and tuning configurations on EMR.
Big Data and Hadoop in Cloud - Leveraging Amazon EMRVijay Rayapati
This document discusses big data, Hadoop, and using Hadoop in the cloud via Amazon EMR. It provides an overview of big data and what Hadoop is, explains how Hadoop works and how it can help store and process large datasets. It then discusses how Amazon EMR can be used to deploy Hadoop clusters in the cloud without having to manage the underlying infrastructure, and provides instructions on setting up and using EMR. Finally, it discusses debugging, profiling, and performance tuning Hadoop jobs and EMR clusters.
This document discusses lessons learned from building and working at startups. It emphasizes building small, closely-knit teams based on personal connections. It also stresses the importance of passion, culture, and fun at work to motivate employees every day. The document then provides examples of how Kuliza nurtures its culture by encouraging employees to be themselves, socialize, share internally and externally, and use social performance management. It introduces some Kuliza employees and their roles in evangelizing the culture. Finally, it suggests using Slideshare to help with startup hiring.
Introduction to cloud computing - za garage talksVijay Rayapati
This document provides an introduction to cloud computing, including definitions, examples of existing cloud applications, benefits, and limitations. It discusses key cloud concepts like infrastructure as a service (IaaS), platform as a service (PaaS), and software as a service (SaaS). Popular cloud platforms like Amazon AWS, Google App Engine, and Windows Azure are briefly introduced. Potential concerns with security, data control, and migration are also outlined. The presentation aims to explain cloud computing fundamentals and tradeoffs for developers and startups.
"Facebook Platform Best Practices" - Facebook Developer Garage BangaloreVijay Rayapati
Lalit, BitRhymes presentation at Facebook Developer Garage Bangalore on "FB plaform best practices" and their experience in building social games for 20+ million users.
Performance Tuning Web Apps - The Need For SpeedVijay Rayapati
This document discusses the importance of web page speed and provides tips to optimize performance. It emphasizes that speed is important for user experience and engagement. Slow pages can lead to high bounce rates and negatively impact SEO. It then provides the "golden rules" of optimization, which include reducing HTTP requests, minimizing file sizes, caching assets, and using techniques like lazy loading. Specific tools are recommended for measuring performance, including PageSpeed, Speed Tracer, and Dynatrace Ajax. Browser limitations and upcoming technologies that may improve speed are also briefly covered. The goal is to make the web faster by optimizing code, images, assets and more.
Nasscom Product Conclave 2009 - Feedback collected using TwitterVijay Rayapati
The document analyzes social media feedback from Twitter about the NASSCOM Product Conclave & Expo 2009 event. Over 550 tweets mentioned "nasscom", 300 mentioned the event specifically, and there were over 1500 tweets using the event hashtag. The tweets captured positive and negative reactions, company promotion efforts, humorous comments, and real-time audience responses and discussions throughout the event.
The document discusses social media engagement and provides guidance on how to develop an effective social media engagement strategy and process. It recommends starting with listening to understand brand conversations and perspectives, then developing a strategic plan focused on understanding engagement needs. It also emphasizes the importance of monitoring, measuring, understanding feedback and refining engagement approaches over time in order to effectively engage and empower brand audiences. A number of tools are also presented to help with listening, monitoring, measuring and managing an ongoing social media engagement process.
This summarises the process involved in designing UX and UI at Botmetric. Will be useful for SaaS startups incorporating design sprint as part of their overall DEV process.
The document discusses lessons learned from scaling Hadoop and big data processing on Amazon EMR. It describes how EMR provides a scalable and cost-effective way to run Hadoop jobs in the cloud without having to manage infrastructure. While EMR enables bootstrapping large clusters easily, performance can vary due to network issues and disk I/O constraints of different instance types. The document outlines best practices for optimizing Hadoop jobs and tuning configurations on EMR.
Big Data and Hadoop in Cloud - Leveraging Amazon EMRVijay Rayapati
This document discusses big data, Hadoop, and using Hadoop in the cloud via Amazon EMR. It provides an overview of big data and what Hadoop is, explains how Hadoop works and how it can help store and process large datasets. It then discusses how Amazon EMR can be used to deploy Hadoop clusters in the cloud without having to manage the underlying infrastructure, and provides instructions on setting up and using EMR. Finally, it discusses debugging, profiling, and performance tuning Hadoop jobs and EMR clusters.
This document discusses lessons learned from building and working at startups. It emphasizes building small, closely-knit teams based on personal connections. It also stresses the importance of passion, culture, and fun at work to motivate employees every day. The document then provides examples of how Kuliza nurtures its culture by encouraging employees to be themselves, socialize, share internally and externally, and use social performance management. It introduces some Kuliza employees and their roles in evangelizing the culture. Finally, it suggests using Slideshare to help with startup hiring.
Introduction to cloud computing - za garage talksVijay Rayapati
This document provides an introduction to cloud computing, including definitions, examples of existing cloud applications, benefits, and limitations. It discusses key cloud concepts like infrastructure as a service (IaaS), platform as a service (PaaS), and software as a service (SaaS). Popular cloud platforms like Amazon AWS, Google App Engine, and Windows Azure are briefly introduced. Potential concerns with security, data control, and migration are also outlined. The presentation aims to explain cloud computing fundamentals and tradeoffs for developers and startups.
"Facebook Platform Best Practices" - Facebook Developer Garage BangaloreVijay Rayapati
Lalit, BitRhymes presentation at Facebook Developer Garage Bangalore on "FB plaform best practices" and their experience in building social games for 20+ million users.
Performance Tuning Web Apps - The Need For SpeedVijay Rayapati
This document discusses the importance of web page speed and provides tips to optimize performance. It emphasizes that speed is important for user experience and engagement. Slow pages can lead to high bounce rates and negatively impact SEO. It then provides the "golden rules" of optimization, which include reducing HTTP requests, minimizing file sizes, caching assets, and using techniques like lazy loading. Specific tools are recommended for measuring performance, including PageSpeed, Speed Tracer, and Dynatrace Ajax. Browser limitations and upcoming technologies that may improve speed are also briefly covered. The goal is to make the web faster by optimizing code, images, assets and more.
Nasscom Product Conclave 2009 - Feedback collected using TwitterVijay Rayapati
The document analyzes social media feedback from Twitter about the NASSCOM Product Conclave & Expo 2009 event. Over 550 tweets mentioned "nasscom", 300 mentioned the event specifically, and there were over 1500 tweets using the event hashtag. The tweets captured positive and negative reactions, company promotion efforts, humorous comments, and real-time audience responses and discussions throughout the event.
The document discusses social media engagement and provides guidance on how to develop an effective social media engagement strategy and process. It recommends starting with listening to understand brand conversations and perspectives, then developing a strategic plan focused on understanding engagement needs. It also emphasizes the importance of monitoring, measuring, understanding feedback and refining engagement approaches over time in order to effectively engage and empower brand audiences. A number of tools are also presented to help with listening, monitoring, measuring and managing an ongoing social media engagement process.