Server Mode: Run sequential scenario tests in automated mode.
Stand Alone Mode: Run sequential scenario tests in manual mode
Compare Mode: Compare object states
Servlets are Java classes that extend functionality of a server. Servlets execute on a Java-enabled server and dynamically extend the server's functionality. Servlets process requests from clients and return results, usually in HTML form. All servlets extend classes like GenericServlet or HttpServlet and override the service() method to implement custom functionality that is called in response to client requests. Servlets also implement init() and destroy() methods for initialization and resource cleanup.
The document discusses different ways to use Java components in Mule, including Java components, Java transformers, and invoking services using Java. It provides examples of a Java component that prints the payload and properties, a singleton Java component that shares an instance, and a main flow exposing an HTTP service that refers to these examples.
This document provides an overview of Reactive Streams and RxJava2. It discusses key concepts like asynchronous programming, backpressure, Observables, Operators, Schedulers, and parallel processing. Reactive programming allows for data to flow through streams and algorithms in a resilient and message-driven way while hiding threading complexity. RxJava2 implements the Reactive Streams specification and provides APIs like Observable and Flowable to build reactive applications that can handle failures and chain asynchronous operations.
This document discusses different ways to use Java components in Mule, including:
1. Java components allow writing custom Java code and transformations when standard Mule transformers cannot be used.
2. A Java component can reference a class implementing Callable to access the Mule event context and payload.
3. A Java component can use a singleton object factory to share a single instance of a class across multiple requests rather than creating a new instance each time. Properties can be passed into the shared class instance.
4. The Invoke component invokes methods on Java classes, with a bean configured in global elements to reference the class and methods to call.
This document provides an overview of AngularJS 2.0 and compares it to AngularJS 1.x. Some of the key changes mentioned include:
- Components replace controllers and use TypeScript classes instead of $scope
- Services are now simple ES6 classes instead of provider/factory functions
- Routing is done at the component level instead of using templates
- Change detection is more efficient and can be configured at the component level
The document discusses acknowledgement modes in Anypoint MQ - AUTO, MANUAL, and NONE.
AUTO mode allows the connector to automatically send ACKs or NACKs based on exception strategies in the flow. MANUAL mode requires setting the connector operation to ACK or NACK. NONE mode immediately acknowledges messages without checking for errors.
Global and local acknowledgement states are described. The global state applies to the whole flow while the local state is set per connector. Example flows are provided to demonstrate each acknowledgement mode.
The Run and Wait scope provided by MUnit allows you to instruct MUnit to wait until all asynchronous executions have completed. Hence, test execution does not start until all threads opened by production code have finished processing.
Servlets are Java programs that extend the functionality of web servers. They allow dynamic content and processing on the server-side. Servlets are efficient, robust, portable, and persistent. The lifecycle of a servlet involves initialization via init(), processing requests via service(), and destruction via destroy(). Servlets can be deployed on Java web servers or J2EE application servers using deployment tools.
Servlets are Java classes that extend functionality of a server. Servlets execute on a Java-enabled server and dynamically extend the server's functionality. Servlets process requests from clients and return results, usually in HTML form. All servlets extend classes like GenericServlet or HttpServlet and override the service() method to implement custom functionality that is called in response to client requests. Servlets also implement init() and destroy() methods for initialization and resource cleanup.
The document discusses different ways to use Java components in Mule, including Java components, Java transformers, and invoking services using Java. It provides examples of a Java component that prints the payload and properties, a singleton Java component that shares an instance, and a main flow exposing an HTTP service that refers to these examples.
This document provides an overview of Reactive Streams and RxJava2. It discusses key concepts like asynchronous programming, backpressure, Observables, Operators, Schedulers, and parallel processing. Reactive programming allows for data to flow through streams and algorithms in a resilient and message-driven way while hiding threading complexity. RxJava2 implements the Reactive Streams specification and provides APIs like Observable and Flowable to build reactive applications that can handle failures and chain asynchronous operations.
This document discusses different ways to use Java components in Mule, including:
1. Java components allow writing custom Java code and transformations when standard Mule transformers cannot be used.
2. A Java component can reference a class implementing Callable to access the Mule event context and payload.
3. A Java component can use a singleton object factory to share a single instance of a class across multiple requests rather than creating a new instance each time. Properties can be passed into the shared class instance.
4. The Invoke component invokes methods on Java classes, with a bean configured in global elements to reference the class and methods to call.
This document provides an overview of AngularJS 2.0 and compares it to AngularJS 1.x. Some of the key changes mentioned include:
- Components replace controllers and use TypeScript classes instead of $scope
- Services are now simple ES6 classes instead of provider/factory functions
- Routing is done at the component level instead of using templates
- Change detection is more efficient and can be configured at the component level
The document discusses acknowledgement modes in Anypoint MQ - AUTO, MANUAL, and NONE.
AUTO mode allows the connector to automatically send ACKs or NACKs based on exception strategies in the flow. MANUAL mode requires setting the connector operation to ACK or NACK. NONE mode immediately acknowledges messages without checking for errors.
Global and local acknowledgement states are described. The global state applies to the whole flow while the local state is set per connector. Example flows are provided to demonstrate each acknowledgement mode.
The Run and Wait scope provided by MUnit allows you to instruct MUnit to wait until all asynchronous executions have completed. Hence, test execution does not start until all threads opened by production code have finished processing.
Servlets are Java programs that extend the functionality of web servers. They allow dynamic content and processing on the server-side. Servlets are efficient, robust, portable, and persistent. The lifecycle of a servlet involves initialization via init(), processing requests via service(), and destruction via destroy(). Servlets can be deployed on Java web servers or J2EE application servers using deployment tools.
This document discusses using Maven archetypes to create a Mule domain project and Mule application project that depends on the domain. It provides steps to generate a domain project with an HTTP listener configuration, and an application project that references the domain and uses the shared HTTP listener in its flow. The document also provides a sample test case for the application that sends a request to the listener and validates the response.
Quartz is an open source job scheduling library that can be integrated with Java applications to schedule jobs to run on a defined schedule or based on triggers. It allows scheduling jobs to run hourly, daily, weekly, monthly or yearly and supports features like job persistence, clustering, transactions and plug-ins. The document provides an example of how to use Mule's Quartz transport to create a simple flow that runs a job every five minutes to log a message.
The document discusses Java Server Pages (JSP) technology. It describes the life cycle of a JSP which includes compilation, initialization, execution, and cleanup. It also explains various JSP elements like scriptlets, declarations, expressions, comments, directives, implicit objects, and actions that allow embedding Java code in JSPs. The page, include, and taglib directives are explained which define page attributes, include files during translation, and declare tag libraries respectively.
ES6 introduced several new features to JavaScript including classes, arrow functions, and new variable types. Classes allow for object-oriented programming with the class keyword. Methods and properties can be defined within classes. Arrow functions provide a concise syntax for writing anonymous functions. Variables can now be defined using let and const, which have block scoping, in addition to var which has function scoping.
The document discusses how to call stored procedures from a Mule application using Mule's database component. It explains how to create a stored procedure in a database like MS SQL, then call it from a Mule flow by configuring the database connector and invoking the stored procedure using SQL. Testing the application by hitting a URL in the browser returns results from executing the stored procedure in the Mule console.
MUnit is a framework for writing functional test cases in Mule that allows mocking of components like SAP, Salesforce, and databases. When writing functional tests with JUnit, the tests interact directly with the actual components. MUnit allows mocking these components to return custom payloads and avoid modifying real data during tests. The document provides examples of mocking Salesforce and database components in MUnit tests.
The Invoke component allows invoking methods defined in Java classes from Mule flows. To use it, a Java class with the methods must be created and configured as a Spring bean. The component calls the method based on its name and the number of arguments passed. The document then provides steps to create a sample Java class with methods, configure it as a Spring bean, and make a call to the method from a Mule flow to return a response.
Maven can be used to develop and manage Mule projects. Mule provides built-in Maven functionality in Anypoint Studio and for Mule ESB. In Studio, new projects can be built with Maven or existing projects can have Maven support enabled. Maven plugins for Mule ESB allow controlling Mule instances from Maven and provide archetypes for regular Mule applications. Projects developed outside Studio using Maven can also be imported.
Fluxxor is a set of tools to facilitate building JavaScript data layers using the Flux architecture by reifying many of the core Flux concepts. It works particularly well in conjunction with React as the view layer, and contains a few helpers to make integration with React applications easier.
Flux is an architecture for creating data layers in JavaScript applications. It was designed at Facebook along with the React view library. It places a focus on creating explicit and understandable update paths for your application's data, which makes tracing changes during development simpler and makes bugs easier to track down and fix.
The document discusses the life cycle of a React component which is divided into four stages:
1) Initialization - When the component is initialized with default props and state.
2) Mounting - When the component is rendered in the DOM and componentDidMount is called.
3) Update - When the DOM is interacted with by the user and methods like shouldComponentUpdate and componentDidUpdate are called.
4) Unmounting - When the component is removed from the DOM and componentWillUnmount is called.
Mule provides tools for testing Mule applications at various levels:
- Unit testing focuses on individual components without running Mule; MUnit supports this.
- Functional testing exercises Mule configuration and message flows using the FunctionalTestCase.
- Integration testing validates full applications as close to production as possible.
MUnit, integrated with Anypoint Studio and Maven, allows authoring and running tests at all levels.
«ReactiveCocoa и MVVM» — Николай Касьянов, SoftWeare-Legion
В докладе расскарывается тема использования функционально-реактивного подхода для разработки iOS- и Mac-приложений, его достоинства и недостатки. Также рассказано об использовании паттерна Model-View-View Model для улучшения архитектуры и повышения тестируемости GUI-кода.
The document describes how to use MUnit to test a Mule flow that queries Salesforce for account data. It involves:
1. Generating mock account data to return from the mocked Salesforce connector.
2. Registering the mock data with MUnit so it is returned instead of calling Salesforce.
3. Running the Mule flow to process the mock data.
4. Generating assertion data to validate the output matches expectations.
5. Comparing the output to the assertion data to validate the flow works as expected with the mock Salesforce response.
React js use contexts and useContext hookPiyush Jamwal
The document discusses the useContext hook in React. It explains that hooks are special functions that start with "use" and are analogous to class component methods. The useContext hook allows components to access data from their parent context without having to pass props down through each level. Without useContext, data would need to be passed through props from the parent component to child components. With useContext, a Context Provider wraps components and provides a value that can be accessed using useContext in any child component without passing props.
This document introduces ReactJS, including that it is a JavaScript library created by Facebook in 2011 for building fast and interactive user interfaces with isolated components. It discusses that ReactJS allows building sizable and complex UIs with small isolated code, and that it is technically a library, not a framework. It then provides steps for setting up a React environment both using create-react-app and for manual setup.
The document discusses RSpec, a behavior-driven development framework for Ruby. It provides two frameworks: a story framework for describing application-level behavior and a spec framework for describing object-level behavior. The document then discusses testing Rails applications, including testing models and controllers. It provides an example of generating a model, migration, and test for a Book model.
This document discusses using Java Message Service (JMS) with MuleSoft's messaging integration capabilities. It describes the two JMS messaging models of queues and topics. It then provides a step-by-step example of configuring Mule to use ActiveMQ for JMS integration, including importing libraries, creating a connector, sending messages to a queue, and receiving messages with a subscriber.
The document discusses using a composite source in Mule to accommodate multiple inbound endpoints to trigger a flow. A composite source listens in parallel on different channels for incoming messages, and passes any received message to the first message processor to trigger the flow. This allows a single flow to be triggered by messages from different inbound endpoints like HTTP, file, FTP, etc. The document provides an example where a flow is triggered either by a Quartz scheduled task or by an HTTP request using a composite source with both endpoints.
Mule Standalone Server is a proprietary application server that can host Java code, web services, and Mule applications. To deploy a Mule application, it must be exported from Anypoint Studio as a zip file and copied to the Mule Standalone app folder. Starting the mule.bat file launches the Mule Standalone server, deploying any applications in the app folder. The document then walks through creating a simple Mule application in Anypoint Studio, exporting and deploying it to the Mule Standalone server, and invoking it to confirm it is running successfully.
Встреча №9. Будущее паттерна MVVM в iOS приложениях, Денис ЛебедевCocoaHeads
The document discusses the MVVM pattern for iOS development. It describes the MVVM pattern as an alternative to MVC that separates the view controller from the model using a view model. The view model encapsulates all view data and logic, allowing views and view controllers to be simpler and more testable. ReactiveCocoa is presented as a framework that enables functional reactive programming and bindings between views, view models and models in an MVVM architecture. Benefits discussed include testability, reusability and platform independence when combining MVVM with Xamarin.
The document provides an overview of WSO2's test automation framework. It discusses what will be automated, including platform scenarios, integrations, UI, use cases, performance, security, and patches. It describes the differences between unit tests and integration tests. The framework aims to make automation easy, organized, relevant, and optimized. It uses TestNG and provides flexibilities like managing multiple products and users. The architecture depends on TestNG listeners and provides an admin service API, page object model, utilities, and coverage/reporting.
This document discusses using Maven archetypes to create a Mule domain project and Mule application project that depends on the domain. It provides steps to generate a domain project with an HTTP listener configuration, and an application project that references the domain and uses the shared HTTP listener in its flow. The document also provides a sample test case for the application that sends a request to the listener and validates the response.
Quartz is an open source job scheduling library that can be integrated with Java applications to schedule jobs to run on a defined schedule or based on triggers. It allows scheduling jobs to run hourly, daily, weekly, monthly or yearly and supports features like job persistence, clustering, transactions and plug-ins. The document provides an example of how to use Mule's Quartz transport to create a simple flow that runs a job every five minutes to log a message.
The document discusses Java Server Pages (JSP) technology. It describes the life cycle of a JSP which includes compilation, initialization, execution, and cleanup. It also explains various JSP elements like scriptlets, declarations, expressions, comments, directives, implicit objects, and actions that allow embedding Java code in JSPs. The page, include, and taglib directives are explained which define page attributes, include files during translation, and declare tag libraries respectively.
ES6 introduced several new features to JavaScript including classes, arrow functions, and new variable types. Classes allow for object-oriented programming with the class keyword. Methods and properties can be defined within classes. Arrow functions provide a concise syntax for writing anonymous functions. Variables can now be defined using let and const, which have block scoping, in addition to var which has function scoping.
The document discusses how to call stored procedures from a Mule application using Mule's database component. It explains how to create a stored procedure in a database like MS SQL, then call it from a Mule flow by configuring the database connector and invoking the stored procedure using SQL. Testing the application by hitting a URL in the browser returns results from executing the stored procedure in the Mule console.
MUnit is a framework for writing functional test cases in Mule that allows mocking of components like SAP, Salesforce, and databases. When writing functional tests with JUnit, the tests interact directly with the actual components. MUnit allows mocking these components to return custom payloads and avoid modifying real data during tests. The document provides examples of mocking Salesforce and database components in MUnit tests.
The Invoke component allows invoking methods defined in Java classes from Mule flows. To use it, a Java class with the methods must be created and configured as a Spring bean. The component calls the method based on its name and the number of arguments passed. The document then provides steps to create a sample Java class with methods, configure it as a Spring bean, and make a call to the method from a Mule flow to return a response.
Maven can be used to develop and manage Mule projects. Mule provides built-in Maven functionality in Anypoint Studio and for Mule ESB. In Studio, new projects can be built with Maven or existing projects can have Maven support enabled. Maven plugins for Mule ESB allow controlling Mule instances from Maven and provide archetypes for regular Mule applications. Projects developed outside Studio using Maven can also be imported.
Fluxxor is a set of tools to facilitate building JavaScript data layers using the Flux architecture by reifying many of the core Flux concepts. It works particularly well in conjunction with React as the view layer, and contains a few helpers to make integration with React applications easier.
Flux is an architecture for creating data layers in JavaScript applications. It was designed at Facebook along with the React view library. It places a focus on creating explicit and understandable update paths for your application's data, which makes tracing changes during development simpler and makes bugs easier to track down and fix.
The document discusses the life cycle of a React component which is divided into four stages:
1) Initialization - When the component is initialized with default props and state.
2) Mounting - When the component is rendered in the DOM and componentDidMount is called.
3) Update - When the DOM is interacted with by the user and methods like shouldComponentUpdate and componentDidUpdate are called.
4) Unmounting - When the component is removed from the DOM and componentWillUnmount is called.
Mule provides tools for testing Mule applications at various levels:
- Unit testing focuses on individual components without running Mule; MUnit supports this.
- Functional testing exercises Mule configuration and message flows using the FunctionalTestCase.
- Integration testing validates full applications as close to production as possible.
MUnit, integrated with Anypoint Studio and Maven, allows authoring and running tests at all levels.
«ReactiveCocoa и MVVM» — Николай Касьянов, SoftWeare-Legion
В докладе расскарывается тема использования функционально-реактивного подхода для разработки iOS- и Mac-приложений, его достоинства и недостатки. Также рассказано об использовании паттерна Model-View-View Model для улучшения архитектуры и повышения тестируемости GUI-кода.
The document describes how to use MUnit to test a Mule flow that queries Salesforce for account data. It involves:
1. Generating mock account data to return from the mocked Salesforce connector.
2. Registering the mock data with MUnit so it is returned instead of calling Salesforce.
3. Running the Mule flow to process the mock data.
4. Generating assertion data to validate the output matches expectations.
5. Comparing the output to the assertion data to validate the flow works as expected with the mock Salesforce response.
React js use contexts and useContext hookPiyush Jamwal
The document discusses the useContext hook in React. It explains that hooks are special functions that start with "use" and are analogous to class component methods. The useContext hook allows components to access data from their parent context without having to pass props down through each level. Without useContext, data would need to be passed through props from the parent component to child components. With useContext, a Context Provider wraps components and provides a value that can be accessed using useContext in any child component without passing props.
This document introduces ReactJS, including that it is a JavaScript library created by Facebook in 2011 for building fast and interactive user interfaces with isolated components. It discusses that ReactJS allows building sizable and complex UIs with small isolated code, and that it is technically a library, not a framework. It then provides steps for setting up a React environment both using create-react-app and for manual setup.
The document discusses RSpec, a behavior-driven development framework for Ruby. It provides two frameworks: a story framework for describing application-level behavior and a spec framework for describing object-level behavior. The document then discusses testing Rails applications, including testing models and controllers. It provides an example of generating a model, migration, and test for a Book model.
This document discusses using Java Message Service (JMS) with MuleSoft's messaging integration capabilities. It describes the two JMS messaging models of queues and topics. It then provides a step-by-step example of configuring Mule to use ActiveMQ for JMS integration, including importing libraries, creating a connector, sending messages to a queue, and receiving messages with a subscriber.
The document discusses using a composite source in Mule to accommodate multiple inbound endpoints to trigger a flow. A composite source listens in parallel on different channels for incoming messages, and passes any received message to the first message processor to trigger the flow. This allows a single flow to be triggered by messages from different inbound endpoints like HTTP, file, FTP, etc. The document provides an example where a flow is triggered either by a Quartz scheduled task or by an HTTP request using a composite source with both endpoints.
Mule Standalone Server is a proprietary application server that can host Java code, web services, and Mule applications. To deploy a Mule application, it must be exported from Anypoint Studio as a zip file and copied to the Mule Standalone app folder. Starting the mule.bat file launches the Mule Standalone server, deploying any applications in the app folder. The document then walks through creating a simple Mule application in Anypoint Studio, exporting and deploying it to the Mule Standalone server, and invoking it to confirm it is running successfully.
Встреча №9. Будущее паттерна MVVM в iOS приложениях, Денис ЛебедевCocoaHeads
The document discusses the MVVM pattern for iOS development. It describes the MVVM pattern as an alternative to MVC that separates the view controller from the model using a view model. The view model encapsulates all view data and logic, allowing views and view controllers to be simpler and more testable. ReactiveCocoa is presented as a framework that enables functional reactive programming and bindings between views, view models and models in an MVVM architecture. Benefits discussed include testability, reusability and platform independence when combining MVVM with Xamarin.
The document provides an overview of WSO2's test automation framework. It discusses what will be automated, including platform scenarios, integrations, UI, use cases, performance, security, and patches. It describes the differences between unit tests and integration tests. The framework aims to make automation easy, organized, relevant, and optimized. It uses TestNG and provides flexibilities like managing multiple products and users. The architecture depends on TestNG listeners and provides an admin service API, page object model, utilities, and coverage/reporting.
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.
Yet another way to run distributed performance/load tests on AWS: Jmeter + Docker + Terraform
Who is Artem?
A Test Automation Engineer at SoftServe with 5 years of IT experience overall and about 3 years dealing with test automation (Web UI, Mobile, API and performance tests).
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.
Presentation shows how to use Apache Benchmark and JMeter to run load-tests. It also shows how to collect metrics from Google Analytics that are needed to configure your tests.
Javascript Unittesting with js-test-driverwesthoff
The document discusses Javascript unit testing with js-test-driver. It describes js-test-driver as a Javascript testing framework that uses a client-server approach with an assertion framework compatible with xUnit. It provides examples of writing a simple Javascript function, a test case to test that function, and the js-test-driver configuration. The document also discusses the advantages of js-test-driver's architecture and the test lifecycle it follows.
The document provides an overview of load testing and the LoadRunner tool. It discusses:
- Why load testing is important to test application performance, stability, and ability to handle expected user loads.
- The components of LoadRunner including VuGen for recording scripts, the Controller for managing tests, and Analysis for reporting.
- How LoadRunner replaces human users with virtual users (Vusers) that emulate user actions and loads via scripted scenarios. This allows testing at large scales that would be difficult with real users.
[FullStack NYC 2019] Effective Unit Tests for JavaScriptHazem Saleh
The document discusses code coverage and mutation testing tools for JavaScript. It introduces karma-coverage as a code coverage plugin that can be used with Karma test runner. Traditional code coverage only measures executed code and does not guarantee tests will fail on logic changes. Mutation testing seeds code with faults to evaluate test strength by whether faults are killed by tests. The document demonstrates Stryker, a mutation testing tool for JavaScript that works with popular frameworks and provides test reports. It provides sample URLs and recommends using Stryker with Angular CLI 6.1+.
1. Title Slide:
• Title: Introduction to LoadRunner
• Subtitle: Enhancing Performance Testing Efforts
2. Introduction to Performance Testing:
• Define performance testing
• Importance of performance testing in software development
• Types of performance testing (load testing, stress testing, etc.)
3. Overview of LoadRunner:
• Introduction to LoadRunner
• History and background
• Key features and capabilities
4. LoadRunner Components:
• Virtual User Generator (VUGen)
• Controller
• Load Generator
• Analysis
5. LoadRunner Workflow:
• Recording a script
• Enhancing scripts with parameters and transactions
• Creating scenarios in the Controller
• Running tests
• Analyzing results
6. Scripting in LoadRunner:
• Basics of scripting with VUGen
• Supported scripting languages (VuGen scripting language, JavaScript, etc.)
• Best practices for scripting
7. Controller and Load Generator Setup:
• Configuring the Controller
• Setting up Load Generators
• Distributing load among multiple Load Generators
8. Analyzing Results:
• Interpreting graphs and statistics
• Identifying performance bottlenecks
• Generating reports
9. Advanced Features:
• Parameterization
• Correlation
• Think time manipulation
• Scripting enhancements
10. Best Practices for Load Testing with LoadRunner:
• Test planning and preparation
• Test execution and monitoring
• Results analysis and interpretation
11. Case Studies and Examples:
• Real-world examples of LoadRunner implementation
• Lessons learned and best practices from case studies
12. Conclusion:
• Summary of key points
• Importance of LoadRunner in performance testing efforts
13. Q&A:
• Open the floor for questions and discussion
JLove - Replicating production on your laptop using the magic of containersGrace Jansen
Containers are an amazing technology that are revolutionising how we deploy and create applications. Docker and Kubernetes are helping developers and organisations realise the magical potential that container technology and orchestration offer. Enter MicroShed and the Testcontainers framework enabling local test automation that leverages that magical portability containers offer. In this session we'll explore how Testcontainers can help you run and test with true-to-production environments in development with minimal re-writing of your test code.
Using Jenkins and Jmeter to build a scalable Load Testing solutionRuslan Strazhnyk
The document discusses using Jenkins and JMeter to build a scalable load testing solution, including preparing JMeter tests for integration with a Maven project, configuring Jenkins to trigger builds and generate performance reports when the Maven project is built, and how this setup allows automatically generating graphs from JMeter results to analyze test performance. Key components covered are JMeter for load and performance testing, Maven for building the project, and Jenkins for continuous integration and report generation.
This presentation has been prepared by Oleksii Prohonnyi for internal Angular.js training to improve skills of newbies in JS/Angular.
Part 1 (Introduction): http://www.slideshare.net/oprohonnyi/dive-into-angular-part-1-introduction
Part 2 (Architecture): http://www.slideshare.net/oprohonnyi/dive-into-angular-part-2-architecture
Part 3 (Performance): http://www.slideshare.net/oprohonnyi/dive-into-angular-part-3-performance
Part 4 (Angular 2.0): http://www.slideshare.net/oprohonnyi/dive-into-angular-part-4-angular-20
WSO2 Test Automation Framework : Approach and AdoptionWSO2
The document discusses WSO2's test automation framework. It provides an overview of the framework's requirements, history, approach, architecture, and structure. The framework is designed to make automation easy, organized, relevant and optimized. It supports integration, platform, and cloud-based deployment testing across multiple WSO2 products. Key aspects include flexible execution modes, a context provider, server management, the automation API, utilities, and reporting. Challenges and future areas of focus are also presented, along with demonstrations of sample tests.
The document discusses JavaScript topics that will be covered in a web technology course. It outlines 10 lectures covering JavaScript introduction, variables, operators, conditional and loop statements, functions, event handling, objects, cookies, forms validation, AJAX, and VBScript. The first lecture defines JavaScript, what it can do, and provides simple examples of JavaScript code embedded in HTML and using external JavaScript files. It also covers variable declaration, local and global variables.
(DVO313) Building Next-Generation Applications with Amazon ECSAmazon Web Services
Two trends are driving app development: The shift from the server-based web to rich applications that run on a diverse set of mobile devices and modern browsers, and the growth of microservices running in the cloud that serve these clients. The results are “connected clients” - apps with the processing power of the device that are statefully connected and scaled to the cloud. In this session, you will learn about the architecture for Meteor's JavaScript app platform, Galaxy, which uses Amazon ECS, Elastic Load Balancing, and AWS CloudFormation to provide highly available, scalable, isolated environments for stateful apps across browsers and devices. We will discuss the essential characteristics of the platform, how those are provided for, and why we decided to use Amazon ECS instead of alternatives, such as Kubernetes. We will also demonstrate the Galaxy system in production.
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.
Automation testing material by Durgasoft,hyderabadDurga Prasad
The document discusses automation testing tools QuickTest Professional (QTP) and Unified Functional Testing (UFT). It provides an overview of QTP, describing its features such as scripting language, supported applications and browsers. The document also covers QTP concepts like object repository, object spy, standard classes and object methods.
This document provides an overview of performance testing concepts and LoadRunner software. It discusses the need for performance testing, different types of performance testing, and introduces LoadRunner components and functionality. The document then walks through the process of creating a LoadRunner script using VuGen, including recording a script, customizing runtime settings, and viewing test results. Key LoadRunner concepts like correlation, parameterization, and functions are also explained briefly.
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
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.
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AI 101: An Introduction to the Basics and Impact of Artificial IntelligenceIndexBug
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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.
Unlocking Productivity: Leveraging the Potential of Copilot in Microsoft 365, a presentation by Christoforos Vlachos, Senior Solutions Manager – Modern Workplace, Uni Systems
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Leonard Jayamohan, Partner & Generative AI Lead, Deloitte
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• Communication Mining Overview
• Why is it important?
• How can it help today’s business and the benefits
• Phases in Communication Mining
• Demo on Platform overview
• Q/A
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Monitoring and observability aren’t traditionally found in software curriculums and many of us cobble this knowledge together from whatever vendor or ecosystem we were first introduced to and whatever is a part of your current company’s observability stack.
While the dev and ops silo continues to crumble….many organizations still relegate monitoring & observability as the purview of ops, infra and SRE teams. This is a mistake - achieving a highly observable system requires collaboration up and down the stack.
I, a former op, would like to extend an invitation to all application developers to join the observability party will share these foundational concepts to build on:
Driving Business Innovation: Latest Generative AI Advancements & Success StorySafe Software
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During the hour, we’ll take you through:
Guest Speaker Segment with Hannah Barrington: Dive into the world of dynamic real estate marketing with Hannah, the Marketing Manager at Workspace Group. Hear firsthand how their team generates engaging descriptions for thousands of office units by integrating diverse data sources—from PDF floorplans to web pages—using FME transformers, like OpenAIVisionConnector and AnthropicVisionConnector. This use case will show you how GenAI can streamline content creation for marketing across the board.
Ollama Use Case: Learn how Scenario Specialist Dmitri Bagh has utilized Ollama within FME to input data, create custom models, and enhance security protocols. This segment will include demos to illustrate the full capabilities of FME in AI-driven processes.
Custom AI Models: Discover how to leverage FME to build personalized AI models using your data. Whether it’s populating a model with local data for added security or integrating public AI tools, find out how FME facilitates a versatile and secure approach to AI.
We’ll wrap up with a live Q&A session where you can engage with our experts on your specific use cases, and learn more about optimizing your data workflows with AI.
This webinar is ideal for professionals seeking to harness the power of AI within their data management systems while ensuring high levels of customization and security. Whether you're a novice or an expert, gain actionable insights and strategies to elevate your data processes. Join us to see how FME and AI can revolutionize how you work with data!
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Removing Uninteresting Bytes in Software FuzzingAftab Hussain
Imagine a world where software fuzzing, the process of mutating bytes in test seeds to uncover hidden and erroneous program behaviors, becomes faster and more effective. A lot depends on the initial seeds, which can significantly dictate the trajectory of a fuzzing campaign, particularly in terms of how long it takes to uncover interesting behaviour in your code. We introduce DIAR, a technique designed to speedup fuzzing campaigns by pinpointing and eliminating those uninteresting bytes in the seeds. Picture this: instead of wasting valuable resources on meaningless mutations in large, bloated seeds, DIAR removes the unnecessary bytes, streamlining the entire process.
In this work, we equipped AFL, a popular fuzzer, with DIAR and examined two critical Linux libraries -- Libxml's xmllint, a tool for parsing xml documents, and Binutil's readelf, an essential debugging and security analysis command-line tool used to display detailed information about ELF (Executable and Linkable Format). Our preliminary results show that AFL+DIAR does not only discover new paths more quickly but also achieves higher coverage overall. This work thus showcases how starting with lean and optimized seeds can lead to faster, more comprehensive fuzzing campaigns -- and DIAR helps you find such seeds.
- These are slides of the talk given at IEEE International Conference on Software Testing Verification and Validation Workshop, ICSTW 2022.
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Infrastructure Challenges in Scaling RAG with Custom AI modelsZilliz
Building Retrieval-Augmented Generation (RAG) systems with open-source and custom AI models is a complex task. This talk explores the challenges in productionizing RAG systems, including retrieval performance, response synthesis, and evaluation. We’ll discuss how to leverage open-source models like text embeddings, language models, and custom fine-tuned models to enhance RAG performance. Additionally, we’ll cover how BentoML can help orchestrate and scale these AI components efficiently, ensuring seamless deployment and management of RAG systems in the cloud.
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