Angular Optimization Web Performance Meetup

Amazon has been using and building workflow services for years now. They use Simple Workflow (SWF) internally to lay down OS and all required software onto a new Amazon server before it joins Amazon fleet. Every Amazon server being put in service is provisioned in a workflow using SWF. During this brown-bag session you will be taken through the example of real application which uses SWF.

Performance tests with Gatling are difficult for three main reasons: 1) The test environment must closely simulate production in terms of hardware, software, and load. 2) Proper infrastructure for monitoring, logging, and isolating tests is required. 3) Performance intuition can be wrong, so statistics like percentiles must be used rather than averages.

The document discusses Javascript Promises and the Q library for handling asynchronous code. It explains what Promises are, how they avoid callback pyramids or "Pyramids of Doom", and how the Q library can be used to generate and control Promises. The Q library allows wrapping asynchronous functions in Promises and provides methods for chaining Promises together and handling errors across asynchronous operations.

Intro to RxJava in a non blocking I/O context. My slides tend to make little sense without the talk ;-)

A code kata in C# to help practice techniques for safely removing dependencies form legacy code and creating unit tests. Questions? Suggestions? Contact @dubmun.

This document discusses RxJava, a library for composing asynchronous and event-based programs in Java. It introduces Observables as the core abstraction in RxJava, which are sequences that emit elements to observers. Operators like filter, map, and flatMap allow modifying and transforming Observables. As an example, it shows how to use RxJava to concurrently search for articles by ID, load each article, fetch like counts, and combine the results into a stream of articles. This is done by chaining flatMap operators to transform the stream of IDs into a stream of articles by asynchronously loading each part in parallel.

This presentation contains all the major topics in jquery and enough to get complete information and practicals about jquery

Concurrent Programming in Java discusses various approaches to concurrency in Java including threads, executors, fork/join, parallel streams, CompletableFuture, and RXJava. It explains challenges with threads like interference, deadlocks, and performance overhead. It then covers enhancements in Java 5+ including executors and concurrent collections. Later sections discuss functional-style concurrency with CompletableFuture and RXJava, which allow composing asynchronous operations without blocking.

Having trouble wrapping you mind around unit testing in legacy code? Practice this kata and you'll have a good understanding of some basics. Break dependencies, inject stubs, write meaningful tests. Refactor with confidence. Version 2 is a complete overhaul to make the kata more readable and usable.

HKG15-204: OpenStack: 3rd party testing and performance benchmarking --------------------------------------------------- Speaker: Andrew McDermott, Clark Laughlin Date: February 10, 2015 --------------------------------------------------- ★ Session Summary ★ Status of Tempest 3rd party testing, discussion on scenarii for Rally benchmarking and hypervisor performance. -------------------------------------------------- ★ Resources ★ Pathable: https://hkg15.pathable.com/meetings/250785 Video: https://www.youtube.com/watch?v=-00rTPCYAyg Etherpad: http://pad.linaro.org/p/hkg15-204 --------------------------------------------------- ★ Event Details ★ Linaro Connect Hong Kong 2015 - #HKG15 February 9-13th, 2015 Regal Airport Hotel Hong Kong Airport --------------------------------------------------- http://www.linaro.org http://connect.linaro.org

This document describes one of the most important topics of the Java Concurrency Model, the Future Task.

Dagger provides an alternative way to manage object dependencies through dependency injection. It uses compile time annotation processing to generate code that handles dependency resolution. Dagger eliminates the need to manually pass dependencies between objects. It supports features like lazy injection, providers, and scopes to control object lifecycles. The New York Times leveraged Dagger to decompose activities and share singletons like presenters across an application.

In these slides we are covering Unit testing through Jasmine and Karma and for code coverage we are using Istanbul.

This document provides an overview of React and Redux concepts including: - React basics like components, props, state, and lifecycle methods - Flux architecture and how data flows through actions, dispatcher, and stores - Redux as an alternative to Flux that uses a single store updated by reducers in response to actions - Additional React topics like JSX, propTypes, and using React with ES6 classes are also covered.

A simple setup on automated unit test using Karma + Jasmine with AngularJS Link to GitHub for Source Code : https://github.com/kyaroru/IonicUnitTest

The document discusses various techniques for testing large, distributed systems beyond traditional unit testing. It recommends embracing virtualization to simulate production environments and deploying applications and tests across multiple virtual machines. Various tools are presented to help with distributed, automated testing including Cactus for in-container testing, Selenium and jsUnit for browser testing, and SmartFrog as a framework for describing, deploying and managing distributed service components and tests. The document calls for a focus on system-level tests that simulate the full production environment and integrate testing across distributed systems.

This document discusses asynchronous JavaScript unit testing. It covers what asynchronous code is, what an async test is, and different approaches for writing async tests including callbacks, promises, generators, and async/await. It also discusses using the SinonJS library for test spies, stubs and mocks. Examples of testing async code and references for further reading are provided.

This document summarizes techniques for optimizing Angular application performance, including ahead of time compilation, lazy loading, change detection strategies, avoiding memory leaks, and server side rendering. It provides code examples and compares boot times between different configurations. The techniques can improve first meaningful paint time by up to 86% compared to the default configuration.

The document provides tips for developing high performance Ajax applications. It discusses planning for performance, measuring performance, optimizing page load speed, and optimizing JavaScript performance. Specific tips include making fewer HTTP requests, minifying assets, lazy-loading code, optimizing the initial rendering, reducing the amount of symbolic lookup in JavaScript, and optimizing regular expressions and string concatenation.

The document discusses techniques for optimizing JavaScript and AJAX performance. It recommends planning for performance from the start, measuring performance during development, reducing unnecessary code, optimizing assets, and handling long-running processes by breaking work into chunks. Specific tips include minimizing HTTP requests, leveraging caching, optimizing regular expressions, and using innerHTML for document modifications instead of DOM methods.

The document discusses techniques for improving iOS application build performance and reducing executable size in Xamarin applications. It recommends measuring build times, optimizing for the iOS simulator by avoiding rebuilds and file copying, and optimizing for iOS devices by partially linking assemblies, using the LinkerSafe attribute, and leveraging SmartLink and automatic bindings optimizations. Building configurations and deployment tradeoffs are also covered.

This document discusses integrating test automation and code coverage for web service applications. It introduces Postman for calling web services and testing responses, and Jenkins for build automation and tracking test results over time. It then demonstrates setting up a test automation workflow using these tools on a sample Laravel application, including starting and stopping coverage collection, running tests from Postman and PHPUnit, and merging the results. Some best practices and philosophies around test automation and code coverage are also discussed.

Avoid misery of working with legacy code We will see how you can add independent and isolated components to existing pages; pages that may be difficult to change React and Flux allow you to make self-contained additions that handle their own data access/persistence

React is a JavaScript library for building user interfaces using components. Components are reusable pieces of code that present UI and can be functions or classes. Class components provide key functions like state that function components lack. Components break down complex UIs into independent and reusable pieces. The document then covers fundamental React concepts like getting started, component structure, state, rendering components, and the component lifecycle.

Integration testing is hard, and often teams are tempted to do it in production. Testcontainers allows writing meaningful integration tests spawning Docker containers for databases, queue systems, kv-store, other services. The talk, a blend of slides and live code, will show how we are able to deploy without fear while integrating with a dozen of different datastores. Don't mock your database with fake data anymore, work with real data

This document provides an overview of React including: - React is a JavaScript library created by Facebook for building user interfaces - It uses virtual DOM to efficiently re-render components on updates rather than entire page - React supports ES6 features and uses classes, arrow functions, and other syntax - Popular tools for React include Create React App for setting up projects and React Dev Tools for debugging

Apache Accumulo (like all distributed, data stores) provides scalability at the cost of increased complexity. While Accumulo’s algorithms for handling fault tolerance or distributing load across a cluster may always be complex to the average Accumulo user, there are parts of Accumulo that can be simplified and improved to provide a better user experience. It should be easy for users to install and run Accumulo, write a simple Accumulo client, and troubleshoot common issues. This talk will cover how the Accumulo user experience has improved with Accumulo 2.0 and the creation of the Uno and Muchos tools. The talk will end with a discussion of possible future work to make the user experience better.