At this workshop, you'll learn about advanced concepts in Appium. We will learn how to write a single script for Android, iOS and mobile web apps. Once our tests are established, we will work on framework design and report. We will also have a detailed look at how can we automate various mobile gestures using TouchActions and mobile endpoints in Appium and running distributed tests in parallel on various emulators and simulators.

At this workshop, you'll learn about advanced concepts in Appium. We will learn how to write a single script for Android, iOS and mobile web apps. Once our tests are established, we will work on framework design and report. We will also have a detailed look at how can we automate various mobile gestures using TouchActions and mobile endpoints in Appium and running distributed tests in parallel on various emulators and simulators.

The Internet gets heavier and heavier every year. If we check the state of the web we can see that a median page on mobile weights at about 1.5MB, with the majority of that being JavaScript and images.

The growing size of the websites, together with other factors, like network latency, CPU limitations, render blocking patterns, contributes to the complicated performance puzzle.

Most users rate speed as being at the very top of the UX hierarchy of their needs. The current client whom I consulted had a lot of users moving away from their website and we had to work with them to improve web performance and measure performance as part of CI/CD practices.

This talk will look into solutions that I used to automatically capture web metrics and performance assertions using Webdriver and Chrome Dev Tools. Looking at the tracing data it’s hard to understand what the measure looks like. You will learn how tracing data is structured and how you can compute the important user experience metric. I will deep dive into Lighthouse building blocks, its architecture and learn how we can start auditing and collecting custom metrics for our web pages.

Lighthouse is an audit tool developed by Google which collects different metrics of your website. After collecting the metrics it will present a series of scores for your webpage.

We will also talk through LightWallet on how to calculate the budget. A performance budget is a set of limits imposed on metrics that affect site performance. This could be the total size of a page, the time it takes to load on a mobile network, or even the number of HTTP requests that are sent. Defining a budget helps get the web performance conversation started. It serves as a point of reference for making decisions about design, technology, and adding features.

The Internet gets heavier and heavier every year. If we check the state of the web we can see that a median page on mobile weights at about 1.5MB, with the majority of that being JavaScript and images.

The growing size of the websites, together with other factors, like network latency, CPU limitations, render blocking patterns, contributes to the complicated performance puzzle.

Most users rate speed as being at the very top of the UX hierarchy of their needs. The current client whom I consulted had a lot of users moving away from their website and we had to work with them to improve web performance and measure performance as part of CI/CD practices.

This talk will look into solutions that I used to automatically capture web metrics and performance assertions using Webdriver and Chrome Dev Tools. Looking at the tracing data it’s hard to understand what the measure looks like. You will learn how tracing data is structured and how you can compute the important user experience metric. I will deep dive into Lighthouse building blocks, its architecture and learn how we can start auditing and collecting custom metrics for our web pages.

Lighthouse is an audit tool developed by Google which collects different metrics of your website. After collecting the metrics it will present a series of scores for your webpage.

We will also talk through LightWallet on how to calculate the budget. A performance budget is a set of limits imposed on metrics that affect site performance. This could be the total size of a page, the time it takes to load on a mobile network, or even the number of HTTP requests that are sent. Defining a budget helps get the web performance conversation started. It serves as a point of reference for making decisions about design, technology, and adding features.

Leading-edge applications are dynamic and adaptive in capabilities that require people to use increasingly dexterous tools and supporting infrastructure, including microservices. All of these applications leverage data in new ways. Decoration and tagging of data with intelligent meta-data have become more important than data itself. To keep up with evolving needs, enterprise devs across industries are shifting from traditional app architectures in favor of more fluid architecture for building data-centric applications.

Microservices break traditionally structured applications into manageable pieces that can be developed and maintained independently. microservices are often decoupled, allowing for updates with little to no downtime, as the other components can continue running.

Moving to distributed Microservices ecosystem brings its own challenges; Among them is the loss of visibility into the system, and the complex interactions now occurring between services. Monitoring these applications only reports the health of it but Observability provides granular insights about the behavior of the system along with rich content. In this talk, we will cover the difference of Monitoring and Observability, data path engineering challenges, pillars of observability, distributed tracing of various microservices, testing in distributed microservices ecosystem, automated observability, etc.

Leading-edge applications are dynamic and adaptive in capabilities that require people to use increasingly dexterous tools and supporting infrastructure, including microservices. All of these applications leverage data in new ways. Decoration and tagging of data with intelligent meta-data have become more important than data itself. To keep up with evolving needs, enterprise devs across industries are shifting from traditional app architectures in favor of more fluid architecture for building data-centric applications.

Microservices break traditionally structured applications into manageable pieces that can be developed and maintained independently. microservices are often decoupled, allowing for updates with little to no downtime, as the other components can continue running.

Moving to distributed Microservices ecosystem brings its own challenges; Among them is the loss of visibility into the system, and the complex interactions now occurring between services. Monitoring these applications only reports the health of it but Observability provides granular insights about the behavior of the system along with rich content. In this talk, we will cover the difference of Monitoring and Observability, data path engineering challenges, pillars of observability, distributed tracing of various microservices, testing in distributed microservices ecosystem, automated observability, etc.

At this workshop, you'll learn about advanced concepts in Appium. We will learn how to write a single script for Android, iOS and mobile web apps. Once our tests are established, we will work on framework design and report. We will also have a detailed look at how can we automate various mobile gestures using TouchActions and mobile endpoints in Appium.

Apple and Google’s test automation framework does not natively support W3C standards for few web driver spec implementations directly for e.g TouchActions interface in XCTest, etc. Although test automation frameworks support a rich set of those functions specific to platforms, Appium does provide ways to directly invoke these functions e.g gestures, biometric handling, etc.

Many special behaviors and workarounds are made available and achieved only through executing platform-specific native commands of Appium. For instance, there are 100+ issues been reported on date picker or handling picker wheel in the appium organization but it can be achieved quite easily by executing native mobile commands.

There are so many that testers might not get chance to go through each one of these and get acquainted with all of those. Native mobile commands help to handle much complex use cases like biometric handling, talking to Siri, performance profiling, etc quite easily.

Every command you write using Appium Client Library will be converted to JSON Wire Protocol over HTTP which in turn will be passed to the drivers(AndroidDriver, IOSDriver). The respective driver doesn’t just send or execute the command directly on the device. Appium has a Lifecycle of modules which sends the command to the devices.

Abstract:

The goal of the session is to help the Appium community to have a better understanding of Appium and how it works internally.

Will discuss on following aspects:

• What happens under the hood when the session is created, mainly how appium connect to the corresponding device, installing the app, launching the app and the different steps involved in the process.

• Command life cycle - How client request converted into an HTTP request, how received request passes through appium drivers(ios-driver & AndroidDriver) and the respective driver don’t just send or execute the command directly on the device. Appium has a Lifecycle of modules which sends the command to the devices.

• How the final response passed to the client through different layers.

Mobile Test Automation is increasingly becoming very important. Almost all web applications are responsive these days and it's very important to test how the application works across devices. The same is true with the native application as well. At the same time, the number of devices and the custom OS versions on devices are also vast. This means that it's harder for a tester to manually run the automated tests over a list of devices to get device coverage and quicker results over every feature development.

We came up with a solution of executing tests in distributed or parallel fashion across remote devices from anywhere in the network using Appium Test Distribution. Same framework is officially used by Appium members for Beta testing of Appium.

USP of ATD over other Market Solutions:

• Device Cloud:
  • Setup Devices anywhere within a network, ATD executes remotely without Grid
  • Never worry about device location in network.
• Plug and Play:
  • Connect your android/iOS devices or Emulators/Simulators and just execute tests.
• Multiple TestRunner:
  • TestNG and Cucumber
• Parallel Test Execution:
  • Runs across all connected iOS, Android real devices and Simulators/Emulators
• Test Coverage:
  • Parallel(Run entire suite across all devices, which gives device coverage)
  • Distribute(Run tests across devices to get faster feedback).
• Device Management:
  • Manage devices remotely using Device Manager.
• Reporting:
  • Covers detailed crashes logs from Android and iOS.
  • Appium Servers logs
  • Screenshots on Failures and On Demand Video logs
  • Reporting Trends for multiple builds
• Manual Access to Remote Devices - OpenSTF support

Who loves/uses ATD?

ThoughtWorks, CeX, Jio, TravelStart, M800, Reward Gateway and lot more.

At this workshop, you'll learn about advanced concepts in Appium. We will learn how to write a single script for Android, iOS and mobile web apps. Once our tests are established, we will work on framework design and report. We will also have a detailed look at how can we automate various mobile gestures using TouchActions and mobile endpoints in Appium and running distributed tests in parallel on various emulators and simulators.

Automate Native/Hybrid applications and execute the tests on several iOS real devices parallely without registering appium nodes to selenium grid.