Incorporate Datadog Synthetic tests into your CI/CD pipeline

Testing within the CI/CD pipeline, also known as shift-left testing, is a devops best practice that enables agile teams to continually assess the viability of new features at every stage of the development process. Running tests early and often makes it easier to catch issues before they impact your users, reduce technical debt, and foster efficient, cross-team collaboration.

Datadog Synthetic CI/CD Testing offers a flexible approach to shift-left testing that allows you to incorporate your existing Datadog Synthetic tests at any point in your CI/CD pipeline, so you can maintain a positive user experience and minimize downtime. You can use a single Synthetic test suite for a range of testing scenarios—including canary testing and testing in your CI environment—which eliminates the need for environment-specific tests. Your scheduled tests will still run against your production environment as expected, but you’ll be able to run those same tests—with whatever adjustments you see fit—on demand and at every stage of the development process.

Run Synthetic tests in your CI pipeline for earlier issue detection

The rise in popularity of the agile development methodology has made continuous integration testing crucial to the preservation of a healthy production environment. Agile teams frequently deploy new features and application improvements, so it’s critical for companies to ensure that these rapid deployments do not introduce regressions. Tests that are run within the CI pipeline must therefore reliably verify that code changes have not degraded the user experience—without impeding the team’s ability to ship changes quickly.

Traditionally, end-to-end tests have been too brittle and slow to be run in the CI pipelines of teams that ship code on a daily basis. Datadog Synthetic tests, however, are designed with reliability and efficiency in mind. Synthetic tests automatically update in response to UI changes and employ a wait and retry mechanism to ensure that failures are legitimate. And because Synthetic CI/CD Testing runs tests simultaneously rather than sequentially, it won’t slow down your development process.

Datadog’s integrations with popular CI tools such as GitLabJenkins, and Azure DevOps already allow you to collect events from your pipelines within the Datadog platform. Synthetic CI/CD Testing takes it a step further by enabling you to incorporate Synthetic tests in your CI pipelines for earlier issue detection. You can even view the results of Synthetic CI test runs directly within your CI, as shown in the following screenshot.

Visualize your test results in your CI/CD platform.

Adding Synthetic tests to your existing workflow is seamless. You can either send requests to a trigger endpoint and a polling endpoint or install an npm package and use the associated CLI as part of your CI build process. The CLI will autodiscover the tests to run in your repositories, execute the tests, and retrieve their results, blocking the deployment pipeline if key Synthetic tests fail in the CI environment. This helps prevent breaking changes from reaching staging or production—and safeguards the core functionality of your application by creating a safety net that only lets viable code progress through the pipeline.

#feature #testing #coding #datadog

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Incorporate Datadog Synthetic tests into your CI/CD pipeline
Matt  Towne

Matt Towne

1589791867

Serverless CI/CD on the AWS Cloud

CI/CD pipelines have long played a major role in speeding up the development and deployment of cloud-native apps. Cloud services like AWS lend themselves to more agile deployment through the services they offer as well as approaches such as Infrastructure as Code. There is no shortage of tools to help you manage your CI/CD pipeline as well.

While the majority of development teams have streamlined their pipelines to take full advantage of cloud-native features, there is still so much that can be done to refine CI/CD even further. The entire pipeline can now be built as code and managed either via Git as a single source of truth or by using visual tools to help guide the process.

The entire process can be fully automated. Even better, it can be made serverless, which allows the CI/CD pipeline to operate with immense efficiency. Git branches can even be utilized as a base for multiple pipelines. Thanks to the three tools from Amazon; AWS CodeCommit, AWS CodeBuild, and AWS CodeDeploy, serverless CI/CD on the AWS cloud is now easy to set up.

#aws #aws codebuild #aws codecommit #aws codedeploy #cd #cd pipeline #ci #ci/cd processes #ci/cd workflow #serverless

Anthony  Dach

Anthony Dach

1623842460

How To Build CI/CD Pipeline With TeamCity For Selenium Test Automation

Continuous Integration/Continuous Deployment (CI/CD) has become an essential part of modern software development cycles. As a part of continuous integration, the developer should ensure that the Integration should not break the existing code because this could lead to a negative impact on the overall quality of the project. In order to show how the integration process works, we’ll take an example of a well-known continuous integration tool, TeamCity. In this article, we will learn TeamCity concepts and integrate our test suites with TeamCity for test automation by leveraging LambdaTest cloud-based Selenium grid.

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Source

There are numerous best CI/CD tools available for building high-quality code and narrowing the gap between development and impacted teams. Besides establishing a DevOps culture in the organizations, teams enhance it by implementing best CI/CD practices throughout the Software Development Life Cycle(SDLC). These practices help the teams accelerate product development, automate the processes, and improve overall productivity.

#ci/cd #automation #how to build ci/cd pipeline with teamcity for selenium test automation #selenium test automation #teamcity

Anthony  Dach

Anthony Dach

1623649980

Building An Automated Testing Pipeline with GoCD [Tutorial]

CI/CD enables developers, engineers and DevOps team to create a fast and effective process of packaging the product to market, thereby allowing them to stay ahead of the competition. When Selenium automation testing joins force with an effective CI/CD tool, it does wonders for the product delivery. GoCD is one such open-source Continuous Integration (CI) and Continuous Delivery (CD) tool developed by ThoughtWorks that supports the software development life cycle by enabling automation for the entire process. Right from development –. test –> deployment, GoCD ensures that your delivery cycles are on time, reliable, and efficient.

Ok. I know what you are thinking!

We have Jenkins for CI & CD ! Why a new tool ?

In this GoCD pipeline tutorial, we will deep dive into all the information you would need to set up a GoCD pipeline and in conjunction with the underlying concepts. You will also learn how to perform automation testing using Selenium in GoCD Pipeline through an Online Selenium Grid .

Why GoCD ?

Setting up GoCD

Setting up GoCD

Setting Up the GoCD Pipeline

#selenium testing #ci/cd #building an automated testing pipeline with gocd #gocd pipeline #build-test #gocd

Incorporate Datadog Synthetic tests into your CI/CD pipeline

Testing within the CI/CD pipeline, also known as shift-left testing, is a devops best practice that enables agile teams to continually assess the viability of new features at every stage of the development process. Running tests early and often makes it easier to catch issues before they impact your users, reduce technical debt, and foster efficient, cross-team collaboration.

Datadog Synthetic CI/CD Testing offers a flexible approach to shift-left testing that allows you to incorporate your existing Datadog Synthetic tests at any point in your CI/CD pipeline, so you can maintain a positive user experience and minimize downtime. You can use a single Synthetic test suite for a range of testing scenarios—including canary testing and testing in your CI environment—which eliminates the need for environment-specific tests. Your scheduled tests will still run against your production environment as expected, but you’ll be able to run those same tests—with whatever adjustments you see fit—on demand and at every stage of the development process.

Run Synthetic tests in your CI pipeline for earlier issue detection

The rise in popularity of the agile development methodology has made continuous integration testing crucial to the preservation of a healthy production environment. Agile teams frequently deploy new features and application improvements, so it’s critical for companies to ensure that these rapid deployments do not introduce regressions. Tests that are run within the CI pipeline must therefore reliably verify that code changes have not degraded the user experience—without impeding the team’s ability to ship changes quickly.

Traditionally, end-to-end tests have been too brittle and slow to be run in the CI pipelines of teams that ship code on a daily basis. Datadog Synthetic tests, however, are designed with reliability and efficiency in mind. Synthetic tests automatically update in response to UI changes and employ a wait and retry mechanism to ensure that failures are legitimate. And because Synthetic CI/CD Testing runs tests simultaneously rather than sequentially, it won’t slow down your development process.

Datadog’s integrations with popular CI tools such as GitLabJenkins, and Azure DevOps already allow you to collect events from your pipelines within the Datadog platform. Synthetic CI/CD Testing takes it a step further by enabling you to incorporate Synthetic tests in your CI pipelines for earlier issue detection. You can even view the results of Synthetic CI test runs directly within your CI, as shown in the following screenshot.

Visualize your test results in your CI/CD platform.

Adding Synthetic tests to your existing workflow is seamless. You can either send requests to a trigger endpoint and a polling endpoint or install an npm package and use the associated CLI as part of your CI build process. The CLI will autodiscover the tests to run in your repositories, execute the tests, and retrieve their results, blocking the deployment pipeline if key Synthetic tests fail in the CI environment. This helps prevent breaking changes from reaching staging or production—and safeguards the core functionality of your application by creating a safety net that only lets viable code progress through the pipeline.

#feature #testing #coding #datadog

CI/CD Tutorial for Xamarin Android with Google Play Publishing in Azure DevOps | Part 2.

If you haven’t seen part 1, click here, and start build up your CI/CD pipeline now.

Part 2 Contains:

  • Configuring build with creating signed APK, and making artifacts from it
  • Setting up branch policy to master

Configure some magic

Let’s go back to Pipelines. Edit your previously created pipeline by clicking the three dot on the pipelines row.

Edit the previously created pipeline

CI is based on cloud machines hosted somewhere over the world. This computers called as agents. They are used to follow your instructions, defined in the yml file. The base Xamarin.Android yml is only to build your code. But we will make some additional steps in order to create a signed APK of every build. Follow up, to complete this setup.

Recommended branching strategy for this is to keep a development branch, and pull request your feature branches to it, and finally pull request the development branch to the master, and keep your master is always at your production version. The figure below shows visually this method. Source: https://dzone.com/articles/feature-branching-using-feature-flags-1

Create a signed APK or bundle from every build

First, set up some variables for this pipeline. You will find a Variables button on the right top of the tab. Click on it.

#xamarin #azure #azure devops #ci #ci/cd #pipeline #pipelines #xamarin