This document provides an overview of load testing with JMeter. It discusses what load testing is, the key goals of load testing, and the typical steps followed. It then reviews some common open-source and commercial load testing tools, explaining why the author chose JMeter. The document proceeds to explain JMeter's basic nomenclature and provides examples of how to configure various test elements in JMeter including thread groups, samplers, controllers, timers, pre-processors, post-processors, listeners, and functions. It concludes with sections on recording tests using JMeter's proxy server and how to perform remote or distributed testing across multiple machines.
Apache JMeter is an Apache project that can be used as a load testing tool for analyzing and measuring the performance of a wide range of services, with a particular emphasis on web applications
The document provides an overview of performance testing and the JMeter load testing tool. It defines performance testing as testing to determine how a system performs under workload. The main types of performance testing are described as load/capacity testing, stress testing, volume testing, endurance/soak testing, and spike testing. Load testing is the simplest form and aims to understand system behavior under expected load. Bottlenecks can be identified through load testing. Stress testing finds a system's capacity limit. Volume testing checks efficiency processing large data amounts. Endurance testing checks withstanding load over long periods. Spike testing observes behavior under sudden load increases. JMeter is introduced as an open source load testing tool that can test various system types and has user
This document provides an overview and introduction to JMeter, an open source performance testing tool. It discusses JMeter's history, features, and how it can be used to load test web applications and measure performance. The key components of JMeter are explained, including test plans, thread groups, samplers, listeners, controllers, timers and more. It also provides a demonstration of recording a web application with JMeter and playing it back to simulate load.
This document provides an introduction and overview of JMeter, an open source load testing tool. It discusses how JMeter can be used to simulate multiple concurrent users accessing a web application to test performance under heavy loads. The key points are:
- JMeter simulates user requests to test web applications and servers under various load conditions. It can test HTTP, FTP, JDBC and other protocols.
- It uses thread groups to simulate users, with each thread representing one user. Samplers define the type of requests sent by each thread, like HTTP requests.
- Other components configure tests, extract values, add assertions to validate responses, and control timing between requests. Listeners display results in graphs,
This document provides an overview of the JMeter load testing tool, including its history, features, and how to use it. It describes how JMeter can record web application transactions for playback, and explains the various components of a JMeter test plan such as thread groups, samplers, listeners, timers, and more. It also covers installing JMeter and the basics of creating a test plan to load test a web application.
The document provides information about performance testing using Jmeter 2.6. It discusses what performance testing is and the different types including load/capacity testing, stress testing, volume testing, endurance testing, and spike testing. Load testing is described as the simplest form of performance testing to understand system behavior under an expected load. Bottlenecks can be identified through load testing. Stress testing finds a system's capacity limit. Volume testing checks efficiency by processing huge data amounts. Endurance testing checks if a system can withstand load for long periods. Spike testing suddenly increases load to observe behavior. Pre-requisites for performance testing and load testing tools are also mentioned, with JMeter described as an open source tool that can test various server
This document contains 27 interview questions related to JMeter, an open source load testing tool. The questions cover topics such as JMeter features, distributed testing, setting up a master-slave configuration, using regular expressions, samplers and thread groups, processors, test plan element execution order, configuration elements, data parameterization, assertions, timers, and more. The document provides detailed explanations and examples for each question.
Apache JMeter is an Apache project that can be used as a load testing tool for analyzing and measuring the performance of a wide range of services, with a particular emphasis on web applications
The document provides an overview of performance testing and the JMeter load testing tool. It defines performance testing as testing to determine how a system performs under workload. The main types of performance testing are described as load/capacity testing, stress testing, volume testing, endurance/soak testing, and spike testing. Load testing is the simplest form and aims to understand system behavior under expected load. Bottlenecks can be identified through load testing. Stress testing finds a system's capacity limit. Volume testing checks efficiency processing large data amounts. Endurance testing checks withstanding load over long periods. Spike testing observes behavior under sudden load increases. JMeter is introduced as an open source load testing tool that can test various system types and has user
This document provides an overview and introduction to JMeter, an open source performance testing tool. It discusses JMeter's history, features, and how it can be used to load test web applications and measure performance. The key components of JMeter are explained, including test plans, thread groups, samplers, listeners, controllers, timers and more. It also provides a demonstration of recording a web application with JMeter and playing it back to simulate load.
This document provides an introduction and overview of JMeter, an open source load testing tool. It discusses how JMeter can be used to simulate multiple concurrent users accessing a web application to test performance under heavy loads. The key points are:
- JMeter simulates user requests to test web applications and servers under various load conditions. It can test HTTP, FTP, JDBC and other protocols.
- It uses thread groups to simulate users, with each thread representing one user. Samplers define the type of requests sent by each thread, like HTTP requests.
- Other components configure tests, extract values, add assertions to validate responses, and control timing between requests. Listeners display results in graphs,
This document provides an overview of the JMeter load testing tool, including its history, features, and how to use it. It describes how JMeter can record web application transactions for playback, and explains the various components of a JMeter test plan such as thread groups, samplers, listeners, timers, and more. It also covers installing JMeter and the basics of creating a test plan to load test a web application.
The document provides information about performance testing using Jmeter 2.6. It discusses what performance testing is and the different types including load/capacity testing, stress testing, volume testing, endurance testing, and spike testing. Load testing is described as the simplest form of performance testing to understand system behavior under an expected load. Bottlenecks can be identified through load testing. Stress testing finds a system's capacity limit. Volume testing checks efficiency by processing huge data amounts. Endurance testing checks if a system can withstand load for long periods. Spike testing suddenly increases load to observe behavior. Pre-requisites for performance testing and load testing tools are also mentioned, with JMeter described as an open source tool that can test various server
This document contains 27 interview questions related to JMeter, an open source load testing tool. The questions cover topics such as JMeter features, distributed testing, setting up a master-slave configuration, using regular expressions, samplers and thread groups, processors, test plan element execution order, configuration elements, data parameterization, assertions, timers, and more. The document provides detailed explanations and examples for each question.
This document provides an overview of how to perform distributed load testing using JMeter. It explains the key terminology used, including master and slave systems. The step-by-step instructions describe how to configure JMeter on the slave systems to run in server mode, and how to configure the master system to control the slaves. It outlines starting the test by selecting remote start or remote start all from the JMeter GUI on the master system. Limitations of the distributed testing approach are also listed.
JMeter is a tool for load and performance testing web applications. It was originally developed to test the Apache JServ project but now supports testing many server-based applications. The JMeter GUI provides a test plan where users can add thread groups, samplers, timers, listeners and other elements to build out functionality for load testing. Common elements include HTTP requests, assertions, and listeners to view results. The tool is easy to install, use and can record tests via a proxy server.
This document provides an overview of performance testing using JmeterTool. It discusses key concepts like load testing, stress testing, and endurance testing. It describes the goals of performance testing such as assessing production readiness and discovering bottlenecks. The prerequisites for performance testing and typical testing lifecycle are also outlined. Best practices like using ramp up/down periods and repeating tests are recommended. Challenges in performance testing and common fixes to performance issues are also covered. Finally, it provides an introduction to the various elements in Jmeter like samplers, listeners, timers, and controllers that are used to build test plans and simulate load on systems.
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.
JMeter is an open source tool used for load and performance testing. It allows users to test the responsiveness, throughput, reliability, and scalability of systems under different workloads. JMeter can test web applications, databases, SOAP services and more. It has a GUI for building test plans with thread groups, samplers, listeners and other elements. Tests can be recorded and parameterized. JMeter also supports distributed testing across multiple systems to simulate high loads.
Performance testing involves determining how a system performs under a specific workload. Load testing is a type of performance testing that evaluates a system as the number of concurrent users increases to the expected load. JMeter is an open source load testing tool that can be used to simulate many different types of network traffic. It provides various elements like samplers, listeners, timers and controllers that allow building test plans to generate and measure load.
JMeter is a free and open source desktop application used to load test and performance test web services, data bases, and other applications. It provides a GUI interface and can also be run in non-GUI mode via command line. A JMeter test plan contains thread groups, samplers, listeners, timers, and other elements to simulate load on a system and measure performance. JMeter scripts can be recorded by configuring JMeter as a proxy server or imported from other recording tools. Running JMeter tests helps identify bottlenecks and ensure systems can handle expected loads.
Mastering Distributed Performance TestingKnoldus Inc.
To delve into the intricacies of optimizing performance and scalability in distributed systems. Learn advanced techniques, tools, and best practices for conducting efficient load testing across diverse environments. Gain valuable insights that will empower you to elevate the performance of your applications under real-world conditions.
Best Jmeter Interview Questions- Prepared by Working ProfessionalsTesting World
This document provides information about performance testing tools and training. It discusses JMeter, an open source tool for load and performance testing. It provides answers to various questions about JMeter features like thread groups, listeners, controllers, samplers. It also discusses distributed testing, reducing resource usage, and capturing authentication scripts with JMeter. Contact information is provided to purchase lifetime access to video courses on automation and performance testing tools.
This document provides an agenda and overview for a performance testing training with JMeter. It begins with an introduction to performance testing, including the purpose and types of performance testing. It then covers getting started with JMeter, including installation, setup, and running JMeter. The remainder of the document outlines the content to be covered, including building test plans with JMeter, load and performance testing of websites, parameterization, adding assertions, and best practices. The goal is to teach participants how to use JMeter to perform various types of performance testing of applications and websites.
jMeter is an open source load and performance testing tool. It is a 100% Java application that simulates user load on servers and applications. It can test websites, web services, databases, and other application components. jMeter works by recording user actions as test plans that can then be replayed concurrently to simulate multiple users accessing the system. Key components of a jMeter test plan include thread groups, samplers, listeners, and assertions. Listeners and reports provide output on system performance during the load test.
Troubleshooting and Best Practices with WSO2 Enterprise IntegratorWSO2
This slide deck discusses how to troubleshoot an issue in WSO2 Enterprise Integrator and follow best practices in order to optimize output and avoid failure.
Test talk academy apachejmeter-120521121306-phpapp02veeru madduri
The document provides an overview of Apache JMeter, an open-source load testing tool. It discusses what organizations want to avoid through load testing and defines load testing. It then introduces JMeter, covering its requirements and installation, architecture, key elements of a test plan like thread groups, controllers, samplers, listeners, timers, assertions, and more. It explains concepts like logic controllers, test fragments, and distributed testing capabilities. The document is a guide to using JMeter for load and performance testing.
Top 20 JMeter Interview Questions and Answers in 2023.pdfAnanthReddy38
Here are the top 20 JMeter interview questions and answers:
1.What is Apache JMeter?
Apache JMeter is an open-source tool used for load testing, performance testing, and functional testing of web applications. It can simulate heavy loads on servers, test their performance, and analyze the results.
This document discusses performance testing using JMeter. It provides an overview of different types of performance tests like load testing, stress testing, spike testing etc. and how they are used to identify bottlenecks. It then describes how to install and configure JMeter for performance testing. Steps are provided to add thread groups, samplers, listeners and other components. Techniques like correlation, remote testing are also summarized. The goal is to help understand how to effectively use JMeter for load and performance testing of web applications.
Performance testing is conducted to determine how a system performs under different workloads in terms of responsiveness and stability. Load testing is the simplest form and involves testing the system with specific expected loads to identify any bottlenecks. A bottleneck occurs when a single component limits the performance of the entire system. Stress, spike, endurance and volume testing are other types that help identify the system's capacity limits and how it behaves under extreme conditions. JMeter is an open source tool used for load and performance testing of web applications and services. It allows recording and playback of test scenarios with multiple user loads and assertions to analyze response times and errors.
JUnit: A unit testing framework that is extensively used to test the code written in Java.
Unit testing is a type of software testing.
Software testing: The process of examining whether the software and its components meet the specified requirements
Other types of software testing are as shown.
Performance Tuning Oracle Weblogic Server 12cAjith Narayanan
The document summarizes techniques for monitoring and tuning Oracle WebLogic server performance. It discusses monitoring operating system metrics like CPU, memory, network and I/O usage. It also covers monitoring and tuning the Java Virtual Machine, including garbage collection. Specific tools are outlined for monitoring servers like the WebLogic admin console, and command line JVM tools. The document provides tips for configuring domain and server parameters to optimize performance, including enabling just-in-time starting of internal applications, configuring stuck thread handling, and setting connection backlog buffers.
Apache JMeter is an open source tool for load and performance testing web applications. It can simulate heavy loads on servers and networks to test their strength and analyze performance under different load types. It allows users to test performance, load test, and stress test systems to find bottlenecks and establish baselines. JMeter can test many different server types including web servers, databases, FTP servers and more. It has a graphical user interface for building test plans with thread groups, samplers, timers, listeners and other elements to test performance.
Ivanti’s Patch Tuesday breakdown goes beyond patching your applications and brings you the intelligence and guidance needed to prioritize where to focus your attention first. Catch early analysis on our Ivanti blog, then join industry expert Chris Goettl for the Patch Tuesday Webinar Event. There we’ll do a deep dive into each of the bulletins and give guidance on the risks associated with the newly-identified vulnerabilities.
This document provides an overview of how to perform distributed load testing using JMeter. It explains the key terminology used, including master and slave systems. The step-by-step instructions describe how to configure JMeter on the slave systems to run in server mode, and how to configure the master system to control the slaves. It outlines starting the test by selecting remote start or remote start all from the JMeter GUI on the master system. Limitations of the distributed testing approach are also listed.
JMeter is a tool for load and performance testing web applications. It was originally developed to test the Apache JServ project but now supports testing many server-based applications. The JMeter GUI provides a test plan where users can add thread groups, samplers, timers, listeners and other elements to build out functionality for load testing. Common elements include HTTP requests, assertions, and listeners to view results. The tool is easy to install, use and can record tests via a proxy server.
This document provides an overview of performance testing using JmeterTool. It discusses key concepts like load testing, stress testing, and endurance testing. It describes the goals of performance testing such as assessing production readiness and discovering bottlenecks. The prerequisites for performance testing and typical testing lifecycle are also outlined. Best practices like using ramp up/down periods and repeating tests are recommended. Challenges in performance testing and common fixes to performance issues are also covered. Finally, it provides an introduction to the various elements in Jmeter like samplers, listeners, timers, and controllers that are used to build test plans and simulate load on systems.
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.
JMeter is an open source tool used for load and performance testing. It allows users to test the responsiveness, throughput, reliability, and scalability of systems under different workloads. JMeter can test web applications, databases, SOAP services and more. It has a GUI for building test plans with thread groups, samplers, listeners and other elements. Tests can be recorded and parameterized. JMeter also supports distributed testing across multiple systems to simulate high loads.
Performance testing involves determining how a system performs under a specific workload. Load testing is a type of performance testing that evaluates a system as the number of concurrent users increases to the expected load. JMeter is an open source load testing tool that can be used to simulate many different types of network traffic. It provides various elements like samplers, listeners, timers and controllers that allow building test plans to generate and measure load.
JMeter is a free and open source desktop application used to load test and performance test web services, data bases, and other applications. It provides a GUI interface and can also be run in non-GUI mode via command line. A JMeter test plan contains thread groups, samplers, listeners, timers, and other elements to simulate load on a system and measure performance. JMeter scripts can be recorded by configuring JMeter as a proxy server or imported from other recording tools. Running JMeter tests helps identify bottlenecks and ensure systems can handle expected loads.
Mastering Distributed Performance TestingKnoldus Inc.
To delve into the intricacies of optimizing performance and scalability in distributed systems. Learn advanced techniques, tools, and best practices for conducting efficient load testing across diverse environments. Gain valuable insights that will empower you to elevate the performance of your applications under real-world conditions.
Best Jmeter Interview Questions- Prepared by Working ProfessionalsTesting World
This document provides information about performance testing tools and training. It discusses JMeter, an open source tool for load and performance testing. It provides answers to various questions about JMeter features like thread groups, listeners, controllers, samplers. It also discusses distributed testing, reducing resource usage, and capturing authentication scripts with JMeter. Contact information is provided to purchase lifetime access to video courses on automation and performance testing tools.
This document provides an agenda and overview for a performance testing training with JMeter. It begins with an introduction to performance testing, including the purpose and types of performance testing. It then covers getting started with JMeter, including installation, setup, and running JMeter. The remainder of the document outlines the content to be covered, including building test plans with JMeter, load and performance testing of websites, parameterization, adding assertions, and best practices. The goal is to teach participants how to use JMeter to perform various types of performance testing of applications and websites.
jMeter is an open source load and performance testing tool. It is a 100% Java application that simulates user load on servers and applications. It can test websites, web services, databases, and other application components. jMeter works by recording user actions as test plans that can then be replayed concurrently to simulate multiple users accessing the system. Key components of a jMeter test plan include thread groups, samplers, listeners, and assertions. Listeners and reports provide output on system performance during the load test.
Troubleshooting and Best Practices with WSO2 Enterprise IntegratorWSO2
This slide deck discusses how to troubleshoot an issue in WSO2 Enterprise Integrator and follow best practices in order to optimize output and avoid failure.
Test talk academy apachejmeter-120521121306-phpapp02veeru madduri
The document provides an overview of Apache JMeter, an open-source load testing tool. It discusses what organizations want to avoid through load testing and defines load testing. It then introduces JMeter, covering its requirements and installation, architecture, key elements of a test plan like thread groups, controllers, samplers, listeners, timers, assertions, and more. It explains concepts like logic controllers, test fragments, and distributed testing capabilities. The document is a guide to using JMeter for load and performance testing.
Top 20 JMeter Interview Questions and Answers in 2023.pdfAnanthReddy38
Here are the top 20 JMeter interview questions and answers:
1.What is Apache JMeter?
Apache JMeter is an open-source tool used for load testing, performance testing, and functional testing of web applications. It can simulate heavy loads on servers, test their performance, and analyze the results.
This document discusses performance testing using JMeter. It provides an overview of different types of performance tests like load testing, stress testing, spike testing etc. and how they are used to identify bottlenecks. It then describes how to install and configure JMeter for performance testing. Steps are provided to add thread groups, samplers, listeners and other components. Techniques like correlation, remote testing are also summarized. The goal is to help understand how to effectively use JMeter for load and performance testing of web applications.
Performance testing is conducted to determine how a system performs under different workloads in terms of responsiveness and stability. Load testing is the simplest form and involves testing the system with specific expected loads to identify any bottlenecks. A bottleneck occurs when a single component limits the performance of the entire system. Stress, spike, endurance and volume testing are other types that help identify the system's capacity limits and how it behaves under extreme conditions. JMeter is an open source tool used for load and performance testing of web applications and services. It allows recording and playback of test scenarios with multiple user loads and assertions to analyze response times and errors.
JUnit: A unit testing framework that is extensively used to test the code written in Java.
Unit testing is a type of software testing.
Software testing: The process of examining whether the software and its components meet the specified requirements
Other types of software testing are as shown.
Performance Tuning Oracle Weblogic Server 12cAjith Narayanan
The document summarizes techniques for monitoring and tuning Oracle WebLogic server performance. It discusses monitoring operating system metrics like CPU, memory, network and I/O usage. It also covers monitoring and tuning the Java Virtual Machine, including garbage collection. Specific tools are outlined for monitoring servers like the WebLogic admin console, and command line JVM tools. The document provides tips for configuring domain and server parameters to optimize performance, including enabling just-in-time starting of internal applications, configuring stuck thread handling, and setting connection backlog buffers.
Apache JMeter is an open source tool for load and performance testing web applications. It can simulate heavy loads on servers and networks to test their strength and analyze performance under different load types. It allows users to test performance, load test, and stress test systems to find bottlenecks and establish baselines. JMeter can test many different server types including web servers, databases, FTP servers and more. It has a graphical user interface for building test plans with thread groups, samplers, timers, listeners and other elements to test performance.
Ivanti’s Patch Tuesday breakdown goes beyond patching your applications and brings you the intelligence and guidance needed to prioritize where to focus your attention first. Catch early analysis on our Ivanti blog, then join industry expert Chris Goettl for the Patch Tuesday Webinar Event. There we’ll do a deep dive into each of the bulletins and give guidance on the risks associated with the newly-identified vulnerabilities.
Best 20 SEO Techniques To Improve Website Visibility In SERPPixlogix Infotech
Boost your website's visibility with proven SEO techniques! Our latest blog dives into essential strategies to enhance your online presence, increase traffic, and rank higher on search engines. From keyword optimization to quality content creation, learn how to make your site stand out in the crowded digital landscape. Discover actionable tips and expert insights to elevate your SEO game.
UiPath Test Automation using UiPath Test Suite series, part 6DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 6. In this session, we will cover Test Automation with generative AI and Open AI.
UiPath Test Automation with generative AI and Open AI webinar offers an in-depth exploration of leveraging cutting-edge technologies for test automation within the UiPath platform. Attendees will delve into the integration of generative AI, a test automation solution, with Open AI advanced natural language processing capabilities.
Throughout the session, participants will discover how this synergy empowers testers to automate repetitive tasks, enhance testing accuracy, and expedite the software testing life cycle. Topics covered include the seamless integration process, practical use cases, and the benefits of harnessing AI-driven automation for UiPath testing initiatives. By attending this webinar, testers, and automation professionals can gain valuable insights into harnessing the power of AI to optimize their test automation workflows within the UiPath ecosystem, ultimately driving efficiency and quality in software development processes.
What will you get from this session?
1. Insights into integrating generative AI.
2. Understanding how this integration enhances test automation within the UiPath platform
3. Practical demonstrations
4. Exploration of real-world use cases illustrating the benefits of AI-driven test automation for UiPath
Topics covered:
What is generative AI
Test Automation with generative AI and Open AI.
UiPath integration with generative AI
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
Let's Integrate MuleSoft RPA, COMPOSER, APM with AWS IDP along with Slackshyamraj55
Discover the seamless integration of RPA (Robotic Process Automation), COMPOSER, and APM with AWS IDP enhanced with Slack notifications. Explore how these technologies converge to streamline workflows, optimize performance, and ensure secure access, all while leveraging the power of AWS IDP and real-time communication via Slack notifications.
Ocean lotus Threat actors project by John Sitima 2024 (1).pptxSitimaJohn
Ocean Lotus cyber threat actors represent a sophisticated, persistent, and politically motivated group that poses a significant risk to organizations and individuals in the Southeast Asian region. Their continuous evolution and adaptability underscore the need for robust cybersecurity measures and international cooperation to identify and mitigate the threats posed by such advanced persistent threat groups.
Salesforce Integration for Bonterra Impact Management (fka Social Solutions A...Jeffrey Haguewood
Sidekick Solutions uses Bonterra Impact Management (fka Social Solutions Apricot) and automation solutions to integrate data for business workflows.
We believe integration and automation are essential to user experience and the promise of efficient work through technology. Automation is the critical ingredient to realizing that full vision. We develop integration products and services for Bonterra Case Management software to support the deployment of automations for a variety of use cases.
This video focuses on integration of Salesforce with Bonterra Impact Management.
Interested in deploying an integration with Salesforce for Bonterra Impact Management? Contact us at sales@sidekicksolutionsllc.com to discuss next steps.
Programming Foundation Models with DSPy - Meetup SlidesZilliz
Prompting language models is hard, while programming language models is easy. In this talk, I will discuss the state-of-the-art framework DSPy for programming foundation models with its powerful optimizers and runtime constraint system.
Your One-Stop Shop for Python Success: Top 10 US Python Development Providersakankshawande
Simplify your search for a reliable Python development partner! This list presents the top 10 trusted US providers offering comprehensive Python development services, ensuring your project's success from conception to completion.
Cosa hanno in comune un mattoncino Lego e la backdoor XZ?Speck&Tech
ABSTRACT: A prima vista, un mattoncino Lego e la backdoor XZ potrebbero avere in comune il fatto di essere entrambi blocchi di costruzione, o dipendenze di progetti creativi e software. La realtà è che un mattoncino Lego e il caso della backdoor XZ hanno molto di più di tutto ciò in comune.
Partecipate alla presentazione per immergervi in una storia di interoperabilità, standard e formati aperti, per poi discutere del ruolo importante che i contributori hanno in una comunità open source sostenibile.
BIO: Sostenitrice del software libero e dei formati standard e aperti. È stata un membro attivo dei progetti Fedora e openSUSE e ha co-fondato l'Associazione LibreItalia dove è stata coinvolta in diversi eventi, migrazioni e formazione relativi a LibreOffice. In precedenza ha lavorato a migrazioni e corsi di formazione su LibreOffice per diverse amministrazioni pubbliche e privati. Da gennaio 2020 lavora in SUSE come Software Release Engineer per Uyuni e SUSE Manager e quando non segue la sua passione per i computer e per Geeko coltiva la sua curiosità per l'astronomia (da cui deriva il suo nickname deneb_alpha).
HCL Notes and Domino License Cost Reduction in the World of DLAUpanagenda
Webinar Recording: https://www.panagenda.com/webinars/hcl-notes-and-domino-license-cost-reduction-in-the-world-of-dlau/
The introduction of DLAU and the CCB & CCX licensing model caused quite a stir in the HCL community. As a Notes and Domino customer, you may have faced challenges with unexpected user counts and license costs. You probably have questions on how this new licensing approach works and how to benefit from it. Most importantly, you likely have budget constraints and want to save money where possible. Don’t worry, we can help with all of this!
We’ll show you how to fix common misconfigurations that cause higher-than-expected user counts, and how to identify accounts which you can deactivate to save money. There are also frequent patterns that can cause unnecessary cost, like using a person document instead of a mail-in for shared mailboxes. We’ll provide examples and solutions for those as well. And naturally we’ll explain the new licensing model.
Join HCL Ambassador Marc Thomas in this webinar with a special guest appearance from Franz Walder. It will give you the tools and know-how to stay on top of what is going on with Domino licensing. You will be able lower your cost through an optimized configuration and keep it low going forward.
These topics will be covered
- Reducing license cost by finding and fixing misconfigurations and superfluous accounts
- How do CCB and CCX licenses really work?
- Understanding the DLAU tool and how to best utilize it
- Tips for common problem areas, like team mailboxes, functional/test users, etc
- Practical examples and best practices to implement right away
How to Get CNIC Information System with Paksim Ga.pptxdanishmna97
Pakdata Cf is a groundbreaking system designed to streamline and facilitate access to CNIC information. This innovative platform leverages advanced technology to provide users with efficient and secure access to their CNIC details.
Threats to mobile devices are more prevalent and increasing in scope and complexity. Users of mobile devices desire to take full advantage of the features
available on those devices, but many of the features provide convenience and capability but sacrifice security. This best practices guide outlines steps the users can take to better protect personal devices and information.
Fueling AI with Great Data with Airbyte WebinarZilliz
This talk will focus on how to collect data from a variety of sources, leveraging this data for RAG and other GenAI use cases, and finally charting your course to productionalization.