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Кабринский Эдуард - Azure devops server 2019 - Eduard Kabrinskiy


<h1>Azure devops server 2019</h1>
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<h1>Install and configure Azure DevOps on-premises</h1>
<p><strong>Azure DevOps Services | Azure DevOps Server 2019 | TFS 2018 - TFS 2013</strong></p>
<p><strong>Note:</strong> <em>Azure DevOps Server was previously named Visual Studio Team Foundation Server.</em></p>
<p>You have several choices in how to deploy Azure DevOps Server 2019, previously named Visual Studio Team Foundation Server (TFS). You can install everything on a single server. Or, you can use multiple application tiers and SQL instances. For information about how to determine the right type of deployment for your team, see Hardware recommendations.</p>
<h2>Deployment choices</h2>
<p>Single server: A single-server deployment is the easiest deployment because the application-tier and data-tier are on the same machine. Choose this deployment when support a single team or small set of teams.</p>
<p>Dual servers: A dual-server deployment, with separate application and data-tiers, can provide better performance for larger set of teams and to support teams which have above average usage.</p>
<p>Multiple servers: Chooose this type of deployment, which involves multiple application and data tiers, to provide better performance for very large teams and teams with very heavy usage. By using more than one server, you improve high availability and disaster recovery ability.</p>
<h2>Reporting configuration choices</h2>
<p>Azure DevOps Server supports the Analytics Service which can be used in place of SQL Server Reporting Services or along side it. However, if you plan to use the Inheritance process model to customize work tracking, you can only use the Analytics Service for reporting, the project collection must not be configured to support reporting.</p>
<p>To learn more about the Analytics Service, see What is the Analytics Service?. To learn more about the Inheritance process model, see About process customization and inherited processes.</p>
<p>Only new project collections can be configured to support the Inheritance process model. Upgraded project collections can only continue to support the On-premises XML process model.</p>
<h2>Installations for evaluation or personal use</h2>
<p>If you set up Azure DevOps on-premises for personal use or to evaluate it, use Azure DevOps Express. Azure DevOps Express is free, simple to set up, and installs on both client and server operating systems. It supports all of the same features as Azure DevOps Server 2019. TFS Express licensing limits use to five active users.</p>
<p>Consider using a free Azure DevOps Services organization for personal use. Because Azure DevOps Services are cloud-based, you don't need to install them on your own hardware or manage your own backups.</p>
<h2>The deployment process</h2>
<p>No matter how you plan to deploy Azure DevOps Server, the process involves the following three steps:</p>
<p><strong>Preparation</strong>: The installer prepares one or more servers for Azure DevOps Server or TFS by reviewing and following the system requirements.</p>
<p><strong>Installation</strong>: The installer places executables on your server and runs an installer from VisualStudio.com or the Volume Licensing Service Center.</p>
<p><strong>Configuration</strong>: This step configures the installed features to get your installation up and running. When you run a configuration wizard, it runs a series of readiness checks. These checks make sure that your system meets the requirements and that your setting selections are likely to work. If there are any issues, one or more warnings or error messages display. After you resolve all errors, run the configuration to finish setting up your deployment.</p>
<p>When installation finishes, the installer starts the Azure DevOps Server Configuration Center. A unified wizard supports all Azure DevOps Server configurations, such as new installations, upgrades, and application-tier-only scenarios.</p>
<p style="clear: both"><img src="https://docs.microsoft.com/en-us/azure/devops/server/install/media/install-single-server/configuration-center-start-wizard.png" /></p>
<p>If you need to close the Configuration Center, you can return to it. Start the Azure DevOps Server Administration Console, and select <strong>Configure Installed Features</strong> from the <strong>Application Tier</strong> node.</p>
<p style="clear: both"><img src="https://docs.microsoft.com/en-us/azure/devops/server/install/media/install-single-server/admin-console-configure-install-features.png" /></p>
<p>When installation finishes, the installer starts the Team Foundation Server Configuration Center. For TFS 2017 and later versions, a unified wizard supports all TFS configurations, such as new installations, upgrades, and application-tier-only scenarios. For TFS 2015 and earlier versions, select the appropriate wizard for your scenario.</p>
<p style="clear: both"><img src="https://docs.microsoft.com/en-us/azure/devops/server/install/media/configuration-center.png" /></p>
<p>If you need to close the Configuration Center, you can return to it. Start the Team Foundation Server Administration Console, and select <strong>Configure Installed Features</strong> from the <strong>Application Tier</strong> node.</p>
<p style="clear: both"><img src="https://docs.microsoft.com/en-us/azure/devops/server/install/media/configure-installed-features.png" /></p>
<h2>Configuration options: Basic, Advanced and Azure</h2>
<p>The Server Configuration Wizard supports three main configuration options: <strong>Basic</strong>, <strong>Advanced</strong>, and <strong>Azure</strong>.</p>
<h2>Configuration options: Basic and Advanced</h2>
<p>The Server Configuration Wizard supports two main configuration options: <strong>Basic</strong> and <strong>Advanced</strong>.</p>
<h3>Basic</h3>
<p>Choose <strong>Basic</strong> when you want to configure the application-tier server and install and configure the <strong>Search</strong> extension, or configure some other third party search feature. Installing and configuring Search supports Code, Work Item and Wiki search features. To learn more, see Configure search.</p>
<h3>Advanced</h3>
<p>Choose <strong>Advanced</strong> when you want to configure your deployment to support SQL Server Analysis Services and SQL Server Reporting Services, in addition to the features configured with the <strong>Basic</strong> option.</p>
<p>Choose <strong>Advanced</strong> when you want to configure your deployment to support these additional features, in addition to the features configured with the <strong>Basic</strong> option:</p>
<p><ul>
<li>SQL Server Analysis Services</li>
<li>SQL Server Reporting Services</li>
<li>SharePoint integration</li>
</ul>
</p>
<h3>Azure</h3>
<p>Choose <strong>Azure</strong> when you have installed Azure DevOps Server on an Azure Virtual Machine and want to configure it using Azure SQL Database. For details, see Use Azure SQL Database with Azure DevOps Server.</p>
<h2>Azure devops server 2019</h2>

<h3>Azure devops server 2019</h3>
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<h4>Azure devops server 2019</h4>
Use the new install guide for Team Foundation Server to set up TFS on your server or servers
<h5>Azure devops server 2019</h5>
Azure devops server 2019 <a href="http://remmont.com">Azure devops server 2019</a> Azure devops server 2019
SOURCE: <h6>Azure devops server 2019</h6> <a href="https://dev-ops.engineer/">Azure devops server 2019</a> Azure devops server 2019
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Кабринский Эдуард - Devops extensions - Кабринский Эдуард


<h1>Devops extensions</h1>
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<h1>Comparing Azure DevOps Extension Pipeline tasks with Github Actions</h1>
<p>In my last blog post I shared my first experiences with Github Actions. One of the features of Github Actions is that you can publish actions in GitHub Marketplace and share actions you’ve created with the GitHub community.</p>
<p>After having developed quite some Azure DevOps (Release) Extensions I wanted to learn how to develop custom Github Actions and compare them.</p>
<p>Let’s first start with a short intro into Azure DevOps Extensions for those who are unaware of this feature.</p>
<h1>Azure DevOps Extensions</h1>
<p>Extensions are simple add-ons that can be used to customize and extend your DevOps experience with Azure DevOps Services. They are written with standard technologies - HTML, JavaScript, CSS - and can be developed using your preferred development tools.</p>
<p>Extensions can have multiple CI/CD Azure Pipelines tasks.</p>
<h2>Advantages of Extension</h2>
<p>Some of the advantages of using Azure DevOps Exensions are:</p>
<p><ul>
<li>Easy consumable by DevOps teams</li>
<li>Available via a (Private) MarketPlace</li>
<li>Supports versioning of both Extension and Tasks within Extension</li>
</ul>
</p>
<p>Most of the Extensions with Azure Pipeline tasks I’ve developed where private Extensions to deploy ‘certified’ Azure Resources/Products which could be consumed by DevOps teams within the customer DevOps organization. Within these Extensions ARM templates and PowerShell scripts are used to deploy the ‘certified’ Azure Resources/Products.</p>
<p>With ‘cerfified’ Azure Products customers can embed security and/or service management controls into their to be consumed Azure Products. An example of a security control that could be added to a ‘certified’ Azure Storage Account product could be that <em>all data needs to be encrypted in transit over public and private interconnections</em>.</p>
<p>For the <em>Azure Storage Account</em> this would mean that the Secure transfer setting of the Storage Accounts needs to be enabled for all Storage Accounts to be deployed by DevOps teams in their pipelines. This setting can be configured in the ARM template used to deploy the Storage Account.</p>
<p>If you want to learn more about how to develop an Azure DevOps Extension you can also view the recording of my PowerShell Conference Europe session called “Extend your PowerShell skills by creating Azure DevOps Extensions”</p>
<h2>Azure DevOps Storage Account Extension</h2>
<p>The Storage Account Extension with Azure Pipeline tasks is build with PowerShell scripts and an ARM Template.</p>
<p style="clear: both"><img src="https://stefanstranger.github.io/assets/06-02-2020-01.png" /></p>
<p>The Storage Account is deployed using the Create-StorageAccount.ps1 PowerShell script and the ARM StorageAccount.json file.</p>
<p>To remove the Storage Account the Remove-StorageAccount.ps1 script is used. The Main.ps1 PowerShell script translates the input from the Azure DevOps Extension task and calls the Create or Remove Storage Accounts PowerShell scripts.</p>
<p>The rest of the artifacts are used to build and publish the Azure DevOps Extension.</p>
<p>Within an Azure DevOps Release the following Extension Task parameters can be configured as input:</p>
<p style="clear: both"><img src="https://stefanstranger.github.io/assets/06-02-2020-02.png" /></p>
<p>In a YAML pipeline it looks as follows:</p>
<p>In the next part of this blog post I want to create the same functionality, to deploy and remove an Azure Storage Account using Github Actions in a Github Workflow.</p>
<h3>Functionality Github Actions:</h3>
<p>In the Github Action I want to implement the following functionality.</p>
<p><ol>
<li>Deploy an Azure Storage Account using an ARM Template with the following parameters:</li>
</ol>
<ul>
<li>Resource Group name</li>
<li>Storage Account name</li>
<li>Location</li>
<li>Storage Account type (allowed values: “Standard_LRS”, “Standard_GRS”, “Standard_RAGRS”, “Standard_ZRS”)</li>
<li>Storage Account Access Tier (allowed values: “Hot”,”Cool”)</li>
</ul>
<ol></p>
<p>Github Action(s) only consumable by authorized Github Environments (simular to Private Visual Studio Marketplace)</p>
<p>Support for versioning</p>
<h2>Github Storage Account Action</h2>
<p>The Github Storage Account Action is build using a Docker container. The reason for me using a Docker container to build the Github Action is the reusability of the code I already used for the Azure DevOps Storage Account Extension and tasks.</p>
<p>Currently Github Actions supports the following options to build Github Actions:</p>
<h3>Steps to create a Docker container Action</h3>
<ol>
<li>Create Github Repository</li>
<li>Create a Dockerfile</li>
<li>Create an action metadata file</li>
<li>Write action code</li>
<li>Create a README</li>
<li>Commit, tag and push action to Github</li>
<li>Testing action in workflow</li>
</ol>
<p>Skipping describing step 1 because you can easily find information online on how to create a new repository.</p>
<p style="clear: both"><img src="https://stefanstranger.github.io/assets/23-02-2020-01.png" /></p>
<p><strong>Step 2. Create a Dockerfile</strong></p>
<p>In your new storageaccount directory, create a new Dockerfile file.</p>
<p><strong><em>Dockerfile</em></strong></p>
<p>Let’s go through the Dockerfile step by step.</p>
<p> <table> <tr> <th>FROM mcr.microsoft.com/powershell:7.0.0-rc.3-alpine-3.8</th> </tr> </table> </p>
<p>The FROM instruction initializes a new build stage and sets the Base Image for subsequent instructions. We need PowerShell (core) to run the PowerShell command to deploy and remove the Storage Account, so we will be using the currently latest available alpine version.</p>
<p> <table> <tr> <th>RUN pwsh -c "Install-Module Az.xxx -Acceptlicense -Force"</th> </tr> </table> </p>
<p>The Docker file needs to be able to run PowerShell scripts containing the following Azure PowerShell commands:</p>
<p><ul>
<li>Connect-AzAccount (to connect to Azure)</li>
<li>New-AzResourceGroupDeployment (to deploy Storage Account with ARM Template)</li>
<li>Get-AzStorageAccount (get Storage Account to validate if it exists before removing)</li>
<li>Remove-AzStorageAccount (to remove Storage Account)</li>
</ul>
</p>
<p>For above commands it’s necessary to install the following Azure PowerShell modules available in the Docker container:</p>
<p><ul>
<li>Az.Accounts</li>
<li>Az.Profile</li>
<li>Az.Resources</li>
<li>Az.Storage</li>
</ul>
<table><tr><th>COPY ./src/ ./tmp/</th></tr></table></p>
<p>The COPY instruction copies new files or directories from and adds them to the filesystem of the container at the path</p>
<p>We need this Docker file instruction to copy the ARM template and PowerShell script files to the container.</p>
<p style="clear: both"><img src="https://stefanstranger.github.io/assets/23-02-2020-02.png" /></p>
<p> <table> <tr> <th>ENTRYPOINT ["pwsh","-File","/tmp/scripts/Main.ps1"]</th> </tr> </table> </p>
<p>An ENTRYPOINT allows you to configure a container that will run as an executable.</p>
<p>In the last step of the Docker container file we want to run a PowerShell script which parses the arguments when starting the Docker container and handles the logic to deploy or remove the Storage Account.</p>
<p><strong>Step 3.Create an action metadata file</strong></p>
<p>Docker and JavaScript actions require a metadata file. The metadata filename must be either action.yml or action.yaml. The data in the metadata file defines the inputs, outputs and main entrypoint for your action.</p>
<p>With the inputs statement in the action.yml meta datafile we offer the users of the Github Action to input the required parameter values for the Main.ps1 script.</p>
<p>I choose to incorporate both the deployment and removal of a Storage Account in one Github Action, so some of the inputs are required while others a action specific.</p>
<p>To allow the Main.ps1 script to consume the input from the Docker Container I had to use arguments.</p>
<p>It took quite some time to figure out how to supply parameter input from a Docker Container to a Powershell script running within that container, but this is what made it work. If there are better or easier ways please let me know via the comments below this blog post.</p>
<p>The end result is that the arguments are passed on through the Main.ps1 script the followin way:</p>
<p><strong>Step 4. Write action code</strong></p>
<p>The main reason why I choose to use a Docker image for the Github Action is that you can use any language for my actions, including PowerShell.</p>
<p>The deployment of the Storage Account will be done with the Azure PowerShell cmdlet New-AzResourceGroupDeployment and the supplied ARM Template.</p>
<p><strong>Create-StorageAccount.ps1</strong></p>
<p>For the orchestration of the deployment or deletion of the Storage Account we are using below Main.ps1 PowerShell script.</p>
<p><strong>Main.ps1</strong></p>
<p><strong>Configure Azure credentials</strong></p>
<p>The Github Action needs credentials required to authenticate with Azure. With the following command we can create an Azure Service Principal (SPN) with Contributor permissions on the Subscription level.</p>
<p style="clear: both"><img src="https://stefanstranger.github.io/assets/23-02-2020-03.png" /></p>
<p>The properties of the AZURE_CREDENTIALS Github Secret will be used in the final Github Workflow as an environment variable.</p>
<p>In the Main.ps1 PowerShell script this Environment variable is used to authenticate to Azure.</p>
<p><strong>Step 5. Create README</strong></p>
<p>Just check the README I created to accompany this blog post.</p>
<p><strong>Step 6. Commit, tag and push action to Github</strong></p>
<p>From your terminal, commit your all the files.</p>
<p>It’s best practice to also add a version tag for releases of your action. For more information on versioning your action, see “About actions.”</p>
<p><strong>Step 6. Testing action in workflow</strong></p>
<p>Now you’re ready to test your action out in a workflow. When an action is in a private repository, the action can only be used in workflows in the same repository. Public actions can be used by workflows in any repository.</p>
<p>In the README you can find example workflows to deploy and remove an Azure Storage Account.</p>
<h1>Comparing Extension Tasks with Actions</h1>
<p>I tried to make some comparisons between Extension Tasks and Github Actions for below functionalities.</p>
<p>Keep in mind that I’m new to Github Actions so if I forgot to mention functionality please let me know in the comments of this blog post.</p>
<p> <table> <thead> <tr> <th>Functionality</th> <th>Extension</th> <th>Action</th> <th>Comments</th> </tr> </th> <tbody> <tr> <td>Extensibility</td> <td>Customization are not limited to CI/CD tasks</td> <td>Limited CI/CD tasks.</td> <td>Azure DevOps offers at the moment more functionality then Github. But I’ve not looked into Github Enterprise yet</td> </tr> <tr> <td>Supported development languages</td> <td>Typescript and PowerShell*</td> <td>Javascript, TypeScript, Python, Java</td> <td>Focussing on development of CI/CD tasks for both</td> </tr> <tr> <td>Marketplace</td> <td>Public and private Marketplace</td> <td>Public Marketplace</td> <td>For Azure DevOps you can choose to not have your extension publicly published and only shared with certain Azure DevOps Organizations. When a Github Action is in a private repository, the action can only be used in workflows in the same repository. Public actions can be used by workflows in any repository.</td> </tr> <tr> <td>GUI support</td> <td>Azure DevOps Extension tasks support both a GUI and can be used in classical and yaml pipelines</td> <td>No support for a GUI interface</td> </tr> <tr> <td>Versioning</td> <td>Both the Extension and task can be versioned</td> <td>Support for versioning using a commit SHA, branch, or tag</td> <td>Azure DevOps tasks support automatic or manual updating of the pipeline</td> </tr> <tr> <td>Bundling of activities</td> <td>Extensions can bundle multiple tasks</td> <td>Github Actions often seem to have one Action within the Github Repository</td> </tr> </tbody> </table> </p>
<h1>Conclusion</h1>
<p>I’ve been able to deploy and remove an Azure Storage Account re-using much of the code used within the Azure DevOps Extension task.</p>
<p>By creating a Private Github Repository I was able to limit the use of the Github Action to authorized users, but I could only create workflows within this Repository.</p>
<p>Automatically updating a workflow when a new (minor) version of the Github Action is released is not supported.</p>
<p>For Github Actions I’m missing native development support for PowerShell. This would really be helpful to simplify the development of Github Actions.</p>
<p>All in all Github Actions offer similar functionality as Azure DevOps Extension pipeline tasks but they are less mature in my opinion than DevOps Extension tasks.</p>
<h2>Devops extensions</h2>

<h3>Devops extensions</h3>
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<h4>Devops extensions</h4>
This is my personal blog. I work at Microsoft as a Consultant. You can find some of my open source projects on Github. I like to share my knowledge about Azure, PowerShell and DevOps
<h5>Devops extensions</h5>
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Эдуард Кабринский - Mckinsey devops - Эдуард Кабринский


<h1>Mckinsey devops</h1>
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<h1>McKinsey Hierarchy: The Different Position Levels</i> </h1>
<p>I am looking at the heraichy of positions in mckinsey london specifically, and to my knowledge (correct me if i am wrong), from bottom to top, the positions are analyst, associate, engagement manager, partners?</p>
<p>Is there any i am missing?</p>
<p>When i am looking at the career website, there are positions such as junior/senior consultant? Does this refer to associate? Where does it fit in the heraichy?</p>
<p>But then again, there are also specific positions on associate? Are these the same roles as the junior/senior consultant?</p>
<p>Thanks and regards,</p>
<p>I am looking at the heraichy of positions in mckinsey london specifically, and to my knowledge (correct me if i am wrong), from bottom to top, the positions are analyst, associate, engagement manager, partners?</p>
<p>Is there any i am missing?</p>
<p>When i am looking at the career website, there are positions such as junior/senior consultant? Does this refer to associate? Where does it fit in the heraichy?</p>
<p>But then again, there are also specific positions on associate? Are these the same roles as the junior/senior consultant?</p>
<p>Thanks and regards,</p>
<p>100% Recommendation Rate</p>
<p>EUR 199 / Coaching</p>
<p>That is correct, the traditional track at McKinsey from bottom to top is Analyst>Associate>Engagement Manager>Associate Partner>Partner. Moving from one position to the next normally takes 1 to 3 years. Each one of the previous role develops from Junior to Senior (e.g. from Junior analyst to Senior analyst).</p>
<p>Many consulting firms have different names for the same type of role but the biggest difference is merely in the naming. To put things in context and from junior to senior roles:</p>
<p><ol>
<li><strong>Analyst (McK and ATK) / Associate (BCG and Bain):</strong> entry level consultants focus on gathering data/information, analyzing it and delivering it via presentations. They are guided by associates and managers.</li>
<li><strong>Associate (McK and ATK) / Consultant (BCG and Bain):</strong> apart from being promoted from analyst, associates typically join after an MBA or relevant work. They usually own a stream/functional area of a project. They independently oversee the work of analysts and develop the project deliverables of their specific stream. Depending on tenure, associates might be involved in client relationship and team?s leadership. Starting from Associate level, consultants interview candidates.</li>
<li><strong>Engagement manager (McK) / Case team leader (BCG) / Manager (Bain)/ Project manager (ATK):</strong> are responsible of planning, executing and delivering a consulting project. Their tasks include leading teams, coordinating with all project stakeholders (client and partners), resolving/mediating issues. Managers are also expected to participate to internal events (e.g. holding seminars/trainings for other consultants) and supporting business development opportunities with clients.</li>
<li><strong>Associate partner (McK) / Junior partner (Bain) / Principal (BCG and ATK):</strong> they own the project delivery (they typically manage multiple projects at once) and are expected to sell new consulting work.</li>
<li><strong>Partner:</strong> they are less involved in the daily execution of a project and focus more on high-level strategy (they are the key owners of project deliverables). A big part of their work is dedicated to selling new consulting assignments to both existing and new clients.</li>
</ol>
</p>
<p>I hope this helps,</p>
<p>That is correct, the traditional track at McKinsey from bottom to top is Analyst>Associate>Engagement Manager>Associate Partner>Partner. Moving from one position to the next normally takes 1 to 3 years. Each one of the previous role develops from Junior to Senior (e.g. from Junior analyst to Senior analyst).</p>
<p>Many consulting firms have different names for the same type of role but the biggest difference is merely in the naming. To put things in context and from junior to senior roles:</p>
<h2>Mckinsey devops</h2>

<h3>Mckinsey devops</h3>
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<h4>Mckinsey devops</h4>
Discuss your application or career in consulting! Get support from experienced consultants! Be part of the world's leading management consulting community!
<h5>Mckinsey devops</h5>
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Kabrinskiy Eduard - Web devops - Эдуард Кабринский


<h1>Web devops</h1>
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<h1>Secure, Data-Driven Business Agility</h1>
<h4>Introducing HCL Software DevOps; the most comprehensive DevOps product suite. The portfolio offers robust products for organizations in complex, regulated industries to advance their DevOps practices with continuous delivery, automated testing, and security scanning capabilities.</h4>
<p style="clear: both"><img src="https://hcltechsw.com/wps/wcm/connect/4a3dc210-e075-4b45-8843-9e99b731558c/DO.jpg" /></p>
<h2>Powerful, industry-proven products; together for a world-class DevOps solution</h2>
<p>In a modern DevOps culture, IT and development teams seamlessly collaborate to increase delivery and productivity. The top DevOps organizations continuously seek new areas of efficiency, and they know that DevOps is never done. These organizations often rise to the forefront of their industries, using DevOps as the launchpad.</p>
<p>In this next decade of DevOps, disconnected tools and saying "we do some DevOps" is no longer enough.</p>
<p>DevOps solutions from HCL Software approaches this next decade of DevOps strategically and with the full-cycle and scope of DevOps in mind, including development teams, IT, and business units. Leveraging our comprehensive solution set and business leaders with decades of industry DevOps experience, we create a DevOps solution as unique as your business. And that means you can have the peace of mind knowing you have the tools you need with the leading experts in DevOps by your side.</p>
<h2>Our Latest Innovations</h2>
<h4> <b>HCL Accelerate 2.1</b> </h4>
<p>Integrate with the tools you're already using to aggregate data and surface actionable insights.</p>
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<p>Modernize continuous delivery by automating corporate governance.</p>
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<p>Get everything you need to identify defects earlier.</p>
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<h2>Leading DevOps Innovation for Business Agility</h2>
<h4>From idea to production, HCL Software DevOps provides solutions for source control and work item management, continuous delivery and testing, security scans, and value stream management.</h4>
<p style="clear: both"><img src="https://hcltechsw.com/wps/wcm/connect/731e57b5-8f9b-4266-a8ff-2058b0dfec20/product-communities.svg" /></p>
<h3>Manage Risk & Governance</h3>
<p>Avoid catastrophic incidents by catching security, compliance, and other risks earlier in the software lifecycle. HCL Software DevOps allows clients to aggregate security, quality, and other meaningful KPIs to help steer business decisions and allow for informed decisions across the organization.</p>
<p style="clear: both"><img src="https://hcltechsw.com/wps/wcm/connect/8f82a773-b44f-4a59-919d-f4156e850bc7/demo-portal.svg" /></p>
<h3>Control Cost & Quality</h3>
<p>Minimize re-work, reduce defects, and improve success rates by utilizing the complete testing portfolio offered through HCL Software. HCL has you covered with UI testing, performance testing, API testing, test data management, and service virtualization.</p>
<p style="clear: both"><img src="https://hcltechsw.com/wps/wcm/connect/9a075d9b-4c5f-44bd-a280-469b5bd0f5db/instant-activation.png" /></p>
<h3>Generate Flow Through Revenue</h3>
<p>HCL Software offers the leading edge in Value Stream Management capabilities which can help your organization identify bottlenecks, manage and orchestrate all of your delivery pipelines, and leverage machine learning and analytics to help steer the direction of your organization.</p>
<p style="clear: both"><img src="https://hcltechsw.com/wps/wcm/connect/2fe31b71-2f32-4cc7-9bcb-e288eac9ff63/screen_with_dollar.svg" /></p>
<h3>Deploy Anything, Anywhere</h3>
<p>HCL Software DevOps offers market leading technology in the Application Release Automation (ARA) space. Trusted by hundreds of fortune 500 companies, This technology has been proven for over a decade to provide simple push-button automation, with full traceability and audit-ability.</p>
<h2>Web devops</h2>

<h3>Web devops</h3>
<p>[youtube]</p>
Web devops <a href="http://remmont.com">News news news news</a> Web devops
<h4>Web devops</h4>
HCL Software Site
<h5>Web devops</h5>
Web devops <a href="http://remmont.com">Web devops</a> Web devops
SOURCE: <h6>Web devops</h6> <a href="https://dev-ops.engineer/">Web devops</a> Web devops
#tags#[replace: -,-Web devops] Web devops#tags#
Кабринский Эдуард
latest news

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Эдуард Кабринский - Azure pipelines docs - Eduard Kabrinskiy


<h1>Azure pipelines docs</h1>
<p>[youtube]</p>
Azure pipelines docs <a href="http://remmont.com">News report</a> Azure pipelines docs
<h1>Migrate via Azure DevOps Pipelines</h1>
<p>Establish continuous delivery pipelines with Azure DevOps and YAML tasks. Download and install extensions from Azure DevOps Marketplace.</p>
<p>Run your database migration from Azure DevOps Pipelines. The tasks downloads package and cache it for later execution just like how Use .NET Core or Use Node tasks works. Find Yuniql on Azure DevOps MarketPlace. Install the DevOps Extension and add the following tasks.</p>
<h4>Pre-requisites</h4>
<ul>
<li>Verified only with windows and ubuntu agents</li>
<li>Requires a yuniql compliant directory structure. To create this structure you may install yuniql-cli, issue yuniql init , commit to a git repository and use the repository as input artifact in the pipelines. You may also copy our existing samples for your target database platform and commit to your own repo.</li>
</ul>
<h4>Azure DevOps Pipelines (YAML)</h4>
<p>This sample uses a SqlServer Database project available in GitHub and deploy the database into an Azure SQL Database. See https://github.com/rdagumampan/yuniql/t ... ver-sample.
<p>This runs database migration with yuniql-cli.</p>
<p><ul>
<li>version : The version of Yuniql CLI. If omitted, the latest version of yuniql-cli is installed. Visit the releases to get an appropriate version.</li>
<li>connectionString : The connection string to your target database server.</li>
<li>workspacePath : The location of your version directories to run.</li>
<li>targetPlatform : The target database platform. Default is SqlServer.</li>
<li>autoCreateDatabase : When true, creates and configure the database in the target server for yuniql migrations.</li>
<li>targetVersion : The maximum target database schema version to run to.</li>
<li>tokenKeyValuePair : Token key/value pairs for token replacement.</li>
<li>additionalArguments : Additional CLI arguments</li>
</ul>
</p>
<h4>Azure DevOps Pipelines (Classic)</h4>
<h5>Use YUNIQL CLI Task</h5>
<p style="clear: both"><img src="https://rdagumampan.gallerycdn.vsassets.io/extensions/rdagumampan/yuniql-azdevops-extensions/0.56.0/1576914414829/images/screenshot-01.png" /></p>
<p>This download and installs the yuniql-cli.</p>
<p><ul>
<li>version : The version of Yuniql CLI. If omitted, the latest version of yuniql-cli is installed. Visit the releases to get an appropriate version.</li>
</ul>
</p>
<h5>Run YUNIQL CLI Task</h5>
<p style="clear: both"><img src="https://rdagumampan.gallerycdn.vsassets.io/extensions/rdagumampan/yuniql-azdevops-extensions/0.56.0/1576914414829/images/screenshot-02.png" /></p>
<h4>Verify YUNIQL CLI Task</h4>
<p>Runs an uncommitted migration run. This performs a dry-run migration to verify if all works good should the versions be decided to be applied. Requires at least one successful run was made in the target database.</p>
<h4>Erase YUNIQL CLI Task</h4>
<p>Erases the target database objects (tables, procedures, functions, and others) using user defined clean-up scripts placed in _erase directory. Yuniql doesn?t have automated erasure so user have to prepare the scope of erasure.</p>
<blockquote><p>WARNING: This is helpful in Dev and Test. Be very careful and remove this task when cloning pipelines for Production!</p></blockquote>
<h4>Learn further</h4>
<h4>Found bugs?</h4>
<p>Help us improve further please create an issue.</p>
<h4>Comments</h4>
<p>В© Licence Apache v2.0 | YUNIQL is maintanined by Rodel E. Dagumampan</p>
<h2>Azure pipelines docs</h2>

<h3>Azure pipelines docs</h3>
<p>[youtube]</p>
Azure pipelines docs <a href="http://remmont.com">National news headlines</a> Azure pipelines docs
<h4>Azure pipelines docs</h4>
Run your database migration from Azure DevOps and YAML pipelines.
<h5>Azure pipelines docs</h5>
Azure pipelines docs <a href="http://remmont.com">Azure pipelines docs</a> Azure pipelines docs
SOURCE: <h6>Azure pipelines docs</h6> <a href="https://dev-ops.engineer/">Azure pipelines docs</a> Azure pipelines docs
#tags#[replace: -,-Azure pipelines docs] Azure pipelines docs#tags#
Эдуард Кабринский
world news

[WichitaKn]

Kabrinskiy Eduard - Azure pipelines artifacts - Эдуард Кабринский


<h1>Azure pipelines artifacts</h1>
<p>[youtube]</p>
Azure pipelines artifacts <a href="http://remmont.com">News update today</a> Azure pipelines artifacts
<h1>Maven, Azure DevOps Pipelines and Artifacts.</h1>
<h3>Introduction</h3>
<p>This post will describe how to setup Maven project in Azure DevOps CI, build and deploy its artifact to DevOps Artifacts.</p>
<h3>Steps</h3>
<h4>1. Setup project in GitHub</h4>
<p>Create a new Maven project using Maven Quickstart Archetype:</p>
<h4>2. Create Azure DevOps project</h4>
<h4>3. Create Azure DevOps build pipeline</h4>
<p>Configure Azure DevOps CI pipeline:</p>
<p><ul>
<li>Use ?New pipeleine? in ?Pipilenes -> Builds? in Azure DevOps project.</li>
<li>Connect to GitHub and select your repo. You may want to install Azure DevOps GitHub app and grant access to your GitHub repo.</li>
<li>Select ?Maven? in ?Configure your pipeline? step.</li>
<li>Create new pipeline and push azure-pipelines.yml to your repo to keep it alogn with the source code and run build.</li>
<li>As the result you will get: <ol>
<li>CI pipeline configued in Azure DevOps</li>
<li>azure-pipelines.yml config in your repo, ex:</li>
</ol>
</li>
</ul>
</p>
<h4>4. Create feed in Artifacts</h4>
<ul>
<li>Azure DevOps Artifacts have a concept of feeds - they can be used for differnet purposes, have differnet access permissions, etc. Currently, the feeds support Maven, Gradle, NuGet, NPM, Python and Universal. It means they will act like the appropriate repositories - Maven repo in my example.</li>
<li>Use ?Artifcacts -> New Feed? to create new feed: provide name, visibility/access and public source package settings. (I used ?simple-demo-feed?).</li>
<li>Use ?Connect to feed? link to see conectivity option depending on your technology.</li>
<li>Setting for my ?simple-demo-feed? Maven repo are below:</li>
</ul>
<h4>5. Update CI pipeline to deploy to Artifacts</h4>
<ul>
<li>In order to access simple-demo-feed Maven repo from other projects on your computer you need to generate Maven credentials for this repo by using ?COnnect to feed -> Maven -> Generate Maven credentials? option. The credentails will be valid for 90 days. Currently there is no way to change this settings.</li>
<li>No need to use credentials in your CI pipeline since Azure DevOps environment automatically grants access for feeds inside the environment - there is one catch though: mavenAuthenticateFeed: true option must be setup in Maven Task of azure-piplenies.yml , ex:</li>
</ul>
<p>As the result upon successfull build run an the artifact appears in feed and is available for reference in other Maven and/or Gradle projects as standard Maven repo.</p>
<h2>Azure pipelines artifacts</h2>

<h3>Azure pipelines artifacts</h3>
<p>[youtube]</p>
Azure pipelines artifacts <a href="http://remmont.com">News update</a> Azure pipelines artifacts
<h4>Azure pipelines artifacts</h4>
Introduction This post will describe how to setup Maven project in Azure DevOps CI, build and deploy its artifact to DevOps Artifacts.
<h5>Azure pipelines artifacts</h5>
Azure pipelines artifacts <a href="http://remmont.com">Azure pipelines artifacts</a> Azure pipelines artifacts
SOURCE: <h6>Azure pipelines artifacts</h6> <a href="https://dev-ops.engineer/">Azure pipelines artifacts</a> Azure pipelines artifacts
#tags#[replace: -,-Azure pipelines artifacts] Azure pipelines artifacts#tags#
Эдуард Кабринский
daily news

[CorpusChristiSige]

Kabrinskiy Eduard - Azure devops express - Kabrinskiy Eduard


<h1>Azure devops express</h1>
<p>[youtube]</p>
Azure devops express <a href="http://remmont.com">Latest news update</a> Azure devops express
<h1>Azure DevOps Server</h1>
<p>Share code, track work, and ship software using integrated software delivery tools, hosted on-premises</p>
<h2>Use all the Azure DevOps services or just the ones you need to complement your existing workflows</h2>

<h3>Azure Boards</h3>
<p>Deliver value to your users faster using proven agile tools that enable planning, tracking, and discussing work across your teams.</p>

<h3>Azure Pipelines</h3>
<p>Build, test, and deploy with CI/CD that works with any language, platform, or cloud?including GitHub or any other Git provider.</p>

<h3>Azure Repos</h3>
<p>Get unlimited, cloud-hosted private Git repos and collaborate to build better code with pull requests and advanced file management.</p>

<h3>Azure Test Plans</h3>
<p>Test and ship with confidence using manual and exploratory testing tools.</p>

<h3>Azure Artifacts</h3>
<p>Create, host, and share packages with your team, and add artifacts to your CI/CD pipelines with a single click.</p>
<h3>Extensions Marketplace</h3>
<p>Access extensions from Slack to SonarCloud and 1,000 other apps and services?built by the community.</p>
<p style="clear: both"><img src="https://azurecomcdn.azureedge.net/cvt-651ac13f7655ba1bd2a7669f8629318e228f2c132536db3a5733d3722666f31f/images/page/services/devops/server/what-is.png" /></p>
<h2>What is Azure DevOps Server?</h2>
<p>Collaborative software development tools for the entire team</p>
<p>Previously known as Team Foundation Server (TFS), Azure DevOps Server is a set of collaborative software development tools, hosted on-premises. Azure DevOps Server integrates with your existing IDE or editor, enabling your cross-functional team to work effectively on projects of all sizes.</p>
<p style="clear: both"><img src="https://azurecomcdn.azureedge.net/cvt-651ac13f7655ba1bd2a7669f8629318e228f2c132536db3a5733d3722666f31f/images/page/services/devops/server/integration.png" /></p>
<h3>Integration</h3>
<p>Open and extensible</p>
<p>Integrate your custom tool or third-party service with Azure DevOps Server using open standards like REST APIs and OAuth 2.0. Integrate your favorite tools and services from our marketplace of extensions.</p>
<p style="clear: both"><img src="https://azurecomcdn.azureedge.net/cvt-651ac13f7655ba1bd2a7669f8629318e228f2c132536db3a5733d3722666f31f/images/page/services/devops/server/express.png" /></p>
<h4>Azure DevOps Server Express</h4>
<p>Free version for individuals and small teams</p>
<p>Use Azure DevOps Server Express as individual developers or teams of five or fewer, at no cost. Easily install on your personal desktop or laptop without needing a dedicated server. Upgrade to Azure DevOps Server when your team has grown beyond five team members and take your full history with you.</p>
<p style="clear: both"><img src="https://azurecomcdn.azureedge.net/cvt-651ac13f7655ba1bd2a7669f8629318e228f2c132536db3a5733d3722666f31f/images/shared/customers/morgan-lewis-alt.png" /></p>
<blockquote><p>We were previously using three different CI services to build Atom releases for Windows, macOS, and Linux. Moving to Azure DevOps enabled us to produce release builds for those platforms and automate our nightly release process, all in a single CI job.</blockquote></p>
<p>Anthony Terra, Manager of Software Architecture and Development</p> </blockquote>
<h2>Azure devops express</h2>

<h3>Azure devops express</h3>
<p>[youtube]</p>
Azure devops express <a href="http://remmont.com">Current national news</a> Azure devops express
<h4>Azure devops express</h4>
Share code, track work, and ship software using integrated developer tools, hosted on-premises with Azure DevOps Server
<h5>Azure devops express</h5>
Azure devops express <a href="http://remmont.com">Azure devops express</a> Azure devops express
SOURCE: <h6>Azure devops express</h6> <a href="https://dev-ops.engineer/">Azure devops express</a> Azure devops express
#tags#[replace: -,-Azure devops express] Azure devops express#tags#
Kabrinskiy Eduard
new

[WichitaKn]

Azure devops with github - Kabrinskiy Eduard


<h1>Azure devops with github</h1>
<p>[youtube]</p>
Azure devops with github <a href="http://remmont.com">World news</a> Azure devops with github
<h1>Azure devops with github</h1>
<p>Integrate Your GitHub Projects With Azure Pipelines <br /></p>
<p>Last updated : Nov 13,2020</p>
<h2>Overview</h2>
<p>With the introduction of Azure DevOps, Microsoft is offering developers a new continuous integration/continuous delivery (CI/CD) service called Azure Pipelines that enables you to continuously build, test, and deploy to any platform or cloud. It has cloud-hosted agents for Linux, macOS, and Windows; powerful workflows with native container support; and flexible deployments to Kubernetes, VMs, and serverless environments.</p>
<p>Azure Pipelines provides unlimited CI/CD minutes and 10 parallel jobs to every GitHub open source project for free. All open source projects run on the same infrastructure that our paying customers use. That means you?ll have the same fast performance and high quality of service. Many of the top open source projects are already using Azure Pipelines for CI/CD, such as Atom, CPython, Pipenv, Tox, Visual Studio Code, and TypeScript-and the list is growing every day.</p>
<p>In this lab, you?ll see how easy it is to set up Azure Pipelines with your GitHub projects and how you can start seeing benefits immediately.</p>
<h2>Objectives</h2>
<p>Install Azure Pipelines from the GitHub Marketplace.</p>
<p>Integrate a GitHub project with an Azure DevOps pipeline.</p>
<p>Track pull requests through the pipeline.</p>
<h2>Prerequisites</h2>
<p>An Azure DevOps account from https://dev.azure.com.
<h2>Exercise 1: Getting started with Azure Pipelines</h2>
<h3>Task 1: Forking a GitHub repo and installing Azure Pipelines</h3>
<p>Navigate to https://github.com/actionsdemos/calculator. This is the baseline project we will fork and use for this lab.</p>
<p>If you?re not already signed in to GitHub, sign in now.</p>
<p style="clear: both"><img src="https://www.azuredevopslabs.com/labs/azuredevops/github-integration/images/000.png" /></p>
<p>Click <strong>Fork</strong> to fork the repository to your own account.</p>
<p style="clear: both"><img src="https://www.azuredevopslabs.com/labs/azuredevops/github-integration/images/001.png" /></p>
<p>If prompted, select an account to fork the repository into.</p>
<p>The <strong>GitHub Marketplace</strong> provides a variety of tools from Microsoft and 3rd parties that help you extend your project workflows. Click <strong>Marketplace</strong> from the top navigation to visit it.</p>
<p style="clear: both"><img src="https://www.azuredevopslabs.com/labs/azuredevops/github-integration/images/002.png" /></p>
<p>Search for <strong>?Azure Pipelines?</strong> and select the result.</p>
<p style="clear: both"><img src="https://www.azuredevopslabs.com/labs/azuredevops/github-integration/images/003.png" /></p>
<p>Click <strong>Read more</strong>.</p>
<p style="clear: both"><img src="https://www.azuredevopslabs.com/labs/azuredevops/github-integration/images/004.png" /></p>
<p>Take a moment to read through the benefits of Azure Pipelines.</p>
<p style="clear: both"><img src="https://www.azuredevopslabs.com/labs/azuredevops/github-integration/images/005.png" /></p>
<p>The Azure Pipelines offering is free for anyone to use for public repositories, and free for a single build queue if you?re using a private repository. Click <strong>Install it for free</strong>.</p>
<p style="clear: both"><img src="https://www.azuredevopslabs.com/labs/azuredevops/github-integration/images/006.png" /></p>
<p>If you have multiple <strong>GitHub</strong> accounts, select the one you forked the calculator to from the <strong>Switch billing account</strong> dropdown.</p>
<p style="clear: both"><img src="https://www.azuredevopslabs.com/labs/azuredevops/github-integration/images/007.png" /></p>
<p>Click <strong>Complete order and begin installation</strong>.</p>
<p style="clear: both"><img src="https://www.azuredevopslabs.com/labs/azuredevops/github-integration/images/008.png" /></p>
<p>You have the option to specify repositories to include, but for the purposes of this lab, just include all of them. Note that Azure DevOps requires the listed set of permissions to fulfill its services. Click <strong>Install</strong>.</p>
<p style="clear: both"><img src="https://www.azuredevopslabs.com/labs/azuredevops/github-integration/images/009.png" /></p>
<p>You may be prompted to confirm your GitHub password to continue.</p>
<p>You may be prompted to log in to your Microsoft account. Make sure you?re logged into the one associated with your Azure DevOps account.</p>
<h3>Task 2: Configuring your Azure Pipelines project</h3>
<p>You are now on the Azure DevOps site and need to set up your Azure Pipelines project. Select (or create) the <strong>Azure DevOps organization</strong> you would like to perform these builds under, as well as the Azure DevOps <strong>project</strong> from that organization you would like to use. Click <strong>Continue</strong>.</p>
<p style="clear: both"><img src="https://www.azuredevopslabs.com/labs/azuredevops/github-integration/images/010.png" /></p>
<p>Select the <strong>calculator</strong> project from GitHub to build as part of the pipeline.</p>
<p style="clear: both"><img src="https://www.azuredevopslabs.com/labs/azuredevops/github-integration/images/011.png" /></p>
<p>Azure Pipelines will analyze your project in an attempt to determine if any existing templates would be a good fit. In this case, the recommended template is for <strong>Node.js</strong>, which is perfect for our needs. Some alternative templates are also suggested, although the recommended one is the best for this lab. Select it to continue.</p>
<p style="clear: both"><img src="https://www.azuredevopslabs.com/labs/azuredevops/github-integration/images/012.png" /></p>
<p>The build pipeline is defined as <strong>YAML</strong>, a markup syntax well-suited to defining processes like this because it allows you to manage the configuration of the pipeline like any other file in the repo. It?s a pretty simple template that identifies the pool to pull a VM from for building, the process to install Node.js for building, and the actual build itself. Click <strong>Save and run</strong> to save the pipeline and queue a new build.</p>
<p style="clear: both"><img src="https://www.azuredevopslabs.com/labs/azuredevops/github-integration/images/013.png" /></p>
<p>For the purposes of this lab, you can commit this new file directly to the master branch. Click <strong>Save and run</strong>.</p>
<p style="clear: both"><img src="https://www.azuredevopslabs.com/labs/azuredevops/github-integration/images/014.png" /></p>
<p>It will take a moment for the pipeline to complete. During this time it will configure the build agent, pull in the source from GitHub, and build it according to the pipeline definition.</p>
<p style="clear: both"><img src="https://www.azuredevopslabs.com/labs/azuredevops/github-integration/images/015.png" /></p>
<p>The build should complete successfully.</p>
<p style="clear: both"><img src="https://www.azuredevopslabs.com/labs/azuredevops/github-integration/images/016.png" /></p>
<h3>Task 3: Modifying a YAML build pipeline definition</h3>
<p>While the default pipeline is a great start, it doesn?t do everything we would like to have automated. For example, it would be great if it also ran our tests to confirm that the changes don?t create bugs. Let?s return to GitHub where we can edit the YAML by hand. Right-click the GitHub project link and select <strong>Open in new tab</strong>. Since this lab will involve stepping back and forth between GitHub and Azure DevOps, it?ll be easier to keep a browser tab open to each.</p>
<p style="clear: both"><img src="https://www.azuredevopslabs.com/labs/azuredevops/github-integration/images/017.png" /></p>
<p>Open <strong>azure-pipelines.yml</strong>.</p>
<p style="clear: both"><img src="https://www.azuredevopslabs.com/labs/azuredevops/github-integration/images/018.png" /></p>
<p>Click the <strong>Edit</strong> button.</p>
<p style="clear: both"><img src="https://www.azuredevopslabs.com/labs/azuredevops/github-integration/images/019.png" /></p>
<p>Our project already contains tests written using Mocha so we just need to execute them in out pipeline. To add the test run, add the <strong>?npm test?</strong> command below. Also update the <strong>displayName</strong> to <strong>?npm install, build, and test?</strong> so that it?s easier to track what each task of the build is doing later on.These are the lines to add.</p>
<p style="clear: both"><img src="https://www.azuredevopslabs.com/labs/azuredevops/github-integration/images/020.png" /></p>
<p>Scroll to the bottom of the page, provide some documentation for the change and click <strong>Commit changes</strong>. Again, it?s okay to commit this change directly to the master branch for the purposes of this lab.</p>
<p style="clear: both"><img src="https://www.azuredevopslabs.com/labs/azuredevops/github-integration/images/021.png" /></p>
<p>Return to the <strong>Azure DevOps</strong> browser tab. Use the breadcrumb navigation to return to the <strong>Pipelines</strong> page.</p>
<p style="clear: both"><img src="https://www.azuredevopslabs.com/labs/azuredevops/github-integration/images/022.png" /></p>
<p>A new build should already be there. Click it to view progress.</p>
<p style="clear: both"><img src="https://www.azuredevopslabs.com/labs/azuredevops/github-integration/images/023.png" /></p>
<p>Depending on how quickly you got here, the build may be queued, in progress, or already done. Click <strong>Logs</strong> and follow it through to completion.</p>
<p style="clear: both"><img src="https://www.azuredevopslabs.com/labs/azuredevops/github-integration/images/024.png" /></p>
<p>Once completed, click the <strong>npm install, build, and test</strong> task to view its log output.</p>
<p style="clear: both"><img src="https://www.azuredevopslabs.com/labs/azuredevops/github-integration/images/025.png" /></p>
<p>After the install and build steps we can see the logs for the tests. Everything passes! Click <strong>Esc</strong> to close the task view.</p>
<p style="clear: both"><img src="https://www.azuredevopslabs.com/labs/azuredevops/github-integration/images/026.png" /></p>
<h3>Task 4: Proposing a change via GitHub pull request</h3>
<p>One of the great benefits of this pipeline setup is that we now have a quality gate that?s automatically run every time someone commits a change. This makes it much easier to manage a project that could have any number of contributions coming in at various levels of quality. Return to the <strong>GitHub</strong> browser tab to test it out.</p>
<p>Click <strong>Find file</strong>.</p>
<p style="clear: both"><img src="https://www.azuredevopslabs.com/labs/azuredevops/github-integration/images/027.png" /></p>
<p>Open <strong>arithmeticController.js</strong>.</p>
<p style="clear: both"><img src="https://www.azuredevopslabs.com/labs/azuredevops/github-integration/images/028.png" /></p>
<p>This controller contains the core functionality of the app. However, the code for the <strong>add</strong> operation isn?t completely clear. Put yourself in the position of someone with good intentions, but a lack of experience with JavaScript. They might identify this as an opportunity to help out by cleaning up the code to make it better.</p>
<p style="clear: both"><img src="https://www.azuredevopslabs.com/labs/azuredevops/github-integration/images/029.png" /></p>
<p>Click the <strong>Edit</strong> button.</p>
<p style="clear: both"><img src="https://www.azuredevopslabs.com/labs/azuredevops/github-integration/images/030.png" /></p>
<p>Remove the first and third plus signs from the <strong>add</strong> method to make the code easier to read. (No spoilers, please.)</p>
<p style="clear: both"><img src="https://www.azuredevopslabs.com/labs/azuredevops/github-integration/images/031.png" /></p>
<p>Scroll down and add some documentation for the change. Also select <strong>Create a new branch</strong> and give it the name <strong>?addition-cleanup?</strong>. Click <strong>Propose file change</strong>.</p>
<p style="clear: both"><img src="https://www.azuredevopslabs.com/labs/azuredevops/github-integration/images/032.png" /></p>
<p>Click <strong>Create pull request</strong> to kick off the process of getting your untested changes into some production code!</p>
<p style="clear: both"><img src="https://www.azuredevopslabs.com/labs/azuredevops/github-integration/images/033.png" /></p>
<p>Azure DevOps will detect the change and start the build pipeline. This will update the UI in GitHub explaining that some of the checks haven?t completed yet. Return to your original mindset of ?project owner? and click <strong>Details</strong> to learn more.</p>
<p style="clear: both"><img src="https://www.azuredevopslabs.com/labs/azuredevops/github-integration/images/034.png" /></p>
<p>Click <strong>View more details on Azure Pipelines</strong>. This will open a new tab.</p>
<p style="clear: both"><img src="https://www.azuredevopslabs.com/labs/azuredevops/github-integration/images/035.png" /></p>
<p>Follow the build until it fails. Click the <strong>npm install, build, and test</strong> task to view the log output.</p>
<p style="clear: both"><img src="https://www.azuredevopslabs.com/labs/azuredevops/github-integration/images/036.png" /></p>
<p>Locate the section that lists out failing tests. It might not be immediately clear why the tests failed, but all of the history we?ve accrued in the pipeline makes it easy to identify that something from this new pull request is the cause. The next step will be to figure out why ?21 + 21? produced ?2121? instead of the expected ?42?.</p>
<p style="clear: both"><img src="https://www.azuredevopslabs.com/labs/azuredevops/github-integration/images/037.png" /></p>
<p>Close the current tab.</p>
<h3>Task 5: Using the broken pull request to improve the project</h3>
<p>Return to the <strong>GitHub</strong> browser tab and the role of project owner.</p>
<p>Click the commit to view its details. (Your code will appear different to the following screenshot)</p>
<p style="clear: both"><img src="https://www.azuredevopslabs.com/labs/azuredevops/github-integration/images/038.png" /></p>
<p>Select the <strong>Files changed</strong> tab and click the <strong>Edit</strong> button.</p>
<p style="clear: both"><img src="https://www.azuredevopslabs.com/labs/azuredevops/github-integration/images/039.png" /></p>
<p>It would appear that the changes were made by someone who didn?t realize that the plus signs before each variable were necessary to coerce those variables to their number representations. By removing them, JavaScript interpreted the middle plus sign as the string concatenation operator, which explains why 21 + 21 = 2121 in the failed test. Undo the original changes by adding the plus signs before the <strong>a</strong> and <strong>b</strong> variables. Also add a comment explaining that this is necessary for the operation to perform as expected.</p>
<p style="clear: both"><img src="https://www.azuredevopslabs.com/labs/azuredevops/github-integration/images/040.png" /></p>
<p>Scroll down to document the changes and click <strong>Commit changes</strong>.</p>
<p style="clear: both"><img src="https://www.azuredevopslabs.com/labs/azuredevops/github-integration/images/041.png" /></p>
<p>Select the <strong>Conversation</strong> tab.</p>
<p style="clear: both"><img src="https://www.azuredevopslabs.com/labs/azuredevops/github-integration/images/042.png" /></p>
<p>Azure DevOps will again detect the change and start the build pipeline. Wait for the following section to change to green to indicate that all checks have passed.</p>
<p style="clear: both"><img src="https://www.azuredevopslabs.com/labs/azuredevops/github-integration/images/043.png" /></p>
<p>Once all checks have passed, click <strong>Merge pull request</strong>.</p>
<p style="clear: both"><img src="https://www.azuredevopslabs.com/labs/azuredevops/github-integration/images/044.png" /></p>
<p>Click <strong>Confirm merge</strong>.</p>
<p style="clear: both"><img src="https://www.azuredevopslabs.com/labs/azuredevops/github-integration/images/045.png" /></p>
<h3>Task 6: Adding a build status badge</h3>
<p>An important sign for a quality project is its build status badge. When someone finds a project that has a badge indicating that the project is currently in a successful build state, it?s a sign that the project is maintained effectively. Return to the <strong>Azure DevOps</strong> tab.</p>
<p>Click the build pipeline to navigate to its overview page.</p>
<p style="clear: both"><img src="https://www.azuredevopslabs.com/labs/azuredevops/github-integration/images/046.png" /></p>
<p>From the <strong>ellipses</strong> dropdown, select <strong>Status badge</strong>.</p>
<p style="clear: both"><img src="https://www.azuredevopslabs.com/labs/azuredevops/github-integration/images/047.png" /></p>
<p>The <strong>Status badge</strong> UI provides a quick and easy way to integrate the build status wherever you want. Often, you?ll want to use the provided URLs in your own dashboards, or you can use the Markdown snippet to add the status badge to locations such as Wiki pages. Click the <strong>Copy to clipboard</strong> button for <strong>Sample Markdown</strong>.</p>
<p style="clear: both"><img src="https://www.azuredevopslabs.com/labs/azuredevops/github-integration/images/048.png" /></p>
<p>Return to the <strong>GitHub</strong> tab.</p>
<p>Select the <strong>Code</strong> tab.</p>
<p style="clear: both"><img src="https://www.azuredevopslabs.com/labs/azuredevops/github-integration/images/049.png" /></p>
<p>Open <strong>README.md</strong>.</p>
<p style="clear: both"><img src="https://www.azuredevopslabs.com/labs/azuredevops/github-integration/images/050.png" /></p>
<p>Click the <strong>Edit</strong> button.</p>
<p style="clear: both"><img src="https://www.azuredevopslabs.com/labs/azuredevops/github-integration/images/051.png" /></p>
<p>Paste in the clipboard contents around line <strong>5</strong>.</p>
<p style="clear: both"><img src="https://www.azuredevopslabs.com/labs/azuredevops/github-integration/images/052.png" /></p>
<p>Scroll down and add a commit comment and click <strong>Commit changes</strong>.</p>
<p style="clear: both"><img src="https://www.azuredevopslabs.com/labs/azuredevops/github-integration/images/053.png" /></p>
<p>You now have a dynamic build status badge on your project?s front page that allows everyone to know that you?re effectively managing your project.</p>
<p style="clear: both"><img src="https://www.azuredevopslabs.com/labs/azuredevops/github-integration/images/054.png" /></p>
<h2>Summary</h2>
<p>In this lab, you learned how to integrate a GitHub project with Azure DevOps using the new Azure Pipelines integration from the Marketplace.</p>
<h2>Azure devops with github</h2>

<h3>Azure devops with github</h3>
<p>[youtube]</p>
Azure devops with github <a href="http://remmont.com">News report</a> Azure devops with github
<h4>Azure devops with github</h4>
Azure devops with github Integrate Your GitHub Projects With Azure Pipelines Last updated : Nov 13,2020 Overview With the introduction of Azure DevOps, Microsoft is offering developers
<h5>Azure devops with github</h5>
Azure devops with github <a href="http://remmont.com">Azure devops with github</a> Azure devops with github
SOURCE: <h6>Azure devops with github</h6> <a href="https://dev-ops.engineer/">Azure devops with github</a> Azure devops with github
#tags#[replace: -,-Azure devops with github] Azure devops with github#tags#
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[CorpusChristiSige]

Martin fowler devops - Эдуард Кабринский


<h1>Martin fowler devops</h1>
<p>[youtube]</p>
Martin fowler devops <a href="http://remmont.com">News websites</a> Martin fowler devops
<h1>How to use DevOps to pay off your technical debt</h1>
<p>Technical debt is a universal problem with an equally universal solution РІ?? DevOps. Here's how DevOps can reduce the tech debt burden and help you deploy faster and more frequently.</p>
<p>One of the primary resource constraints in the DevOps world is technical debt. Technical debt is a metaphor created by Ward Cunningham that compares the build-up of cruft (deficiencies in the internal quality of software systems) to the accumulation of financial debt, where the effort it takes to add new features is the interest paid on the debt, writes Martin Fowler.</p>
<p>ItРІ??s common for a busy developer to write code with known imperfections, but because the priority is to ship new features as quickly as possible, deliverables are often prioritized over correcting the inefficiencies in the process.</p>
<p>One of the major dilemmas with determining the value of spending precious time fixing cruft versus building new features is that the costs are not objectively measurable, says Fowler. Just like with paying off financial debt, the right call is largely circumstantial as opposed to absolute.</p>
<p>"Given this, usually the best route is to do what we usually do with financial debts, pay the principal off gradually," writes Fowler.</p>
<p>By cleaning up some of the cruft as you work on the new features, you ensure that the most relevant code is tidier for future iterations. When it comes to crufty, but stable, code, you can leave it alone. This method is similar to paying the monthly balance on a low interest rate loan РІ?? the impact is minimal.</p>
<p>"In contrast, areas of high activity need a zero-tolerance attitude to cruft, because the interest payments are cripplingly high," writes Fowler.</p>
<p>One way to start dealing with technical debt is to conduct a rough audit and triage your technical debt by "interest rate" РІ?? high interest rate cruft is addressed with the same priority as shipping new features, while medium-to-low interest rate cruft can be dealt with in a ratio that best suits your teamРІ??s situation, because dealing with your most urgent technical debt sooner rather than later will help you save resources in the long-term.</p>
<h1>How tech debt accumulates in your workflow</h1>
<p>ItРІ??s not just code that contains cruft. A lot of the time, we have cruft that slows down our engineering processes. When it comes to investing time and money into updating DevOps processes, it seems there is never enough of either resource.</p>
<p>"We donРІ??t let our teams spend time on improving their process because we think itРІ??s wasted effort," says Brendan OРІ??Leary, senior developer evangelist at GitLab. "But if you can spend a day fixing some things that make your workflow inefficient, and you save an hour a week from now until eternity, thatРІ??s a big difference."</p>
<p>Take for instance manual deployment versus the use of automated pipelines. We know that deploying manually takes an enormous amount of time, but the upfront cost of allocating time to building automated pipelines can seem daunting.</p>
<p>If your team is trapped in a time-consuming cycle of technical debt, take a peek at how Minnesota-based consulting firm, BI Worldwide (BIW), was able to accelerate deployments by transitioning to GitLab. In the case study, the BIW Corporate Products Development Team explains how they were stuck in a rut of manual testing and manual deployments on their on-prem infrastructure. Their toolchains were complex and inefficient, which created a dense backlog.</p>
<p>"It was entirely time-consuming to apply all of those code changes," said Adam Dehnel, product architect, BIW, in the case study. As a result, deployments were infrequent and slow as too many features were crammed into each release.</p>
<p>The first step to increase the speed of their deployments was to update and modernize their processes.</p>
<p>"[BIW] had practices and tools in place at the time but were spending time on items that werenРІ??t business differentiating features. They faced classic issues surrounding a lack of cross-team communication including inefficient mechanisms for intra-organization workflows and individualized toolsets."</p>
<p>First, BIW made the painful transition from CVS to Git. Next, the company aimed to automate the build, test, and deployment process and built a toolchain with tools such as GitHub, Jenkins, JIRA, and Confluence.</p>
<p>For BIW, this complex toolchain was buggy. One thing that was not mentioned in this specific use case, but still merits recognition, is the hidden cost of maintaining all of these different tools.</p>
<p>"The argument to be made there is not only is it cost of using these various tools, but also that the more tools you have, there is the overhead cost of upgrading them, maintaining them, and integrating them," says Brendan. "ThereРІ??s a massive hidden cost behind the cost of doing business."</p>
<p>In the next iteration, BIW embraced the efficiency of an all-in-one tool by transitioning to GitLab.</p>
<p>BIW went from a pre-Git pace of shipping a release every nine to 12 months to deploying nearly ten times a day using GitLab Ultimate, no doubt putting a serious dent in the technical debt that followed their slower, laborious release cycle.</p>
<h1>Conserve valuable resources and pay off technical debt with DevOps</h1>
<p>In a previous blog post, we examined communication strategies to get non-technical stakeholders to buy-in to DevOps. DevOps can help you deploy faster and more frequently, giving your business an edge over the competition, but it is also a strategy for paying off your technical debt. By first taking into account inefficiencies in your code and engineering processes, you can make a rough triage of your team's technical debt. This type of audit is the first step to identifying cruft you can trim to help speed up your cycle time, clear your backlog, and modernize your engineering processes.</p>
<h2>Martin fowler devops</h2>

<h3>Martin fowler devops</h3>
<p>[youtube]</p>
Martin fowler devops <a href="http://remmont.com">Latest world news</a> Martin fowler devops
<h4>Martin fowler devops</h4>
Technical debt is a universal problem with an equally universal solution РІ?? DevOps. Here's how DevOps can reduce the tech debt burden and help you deploy faster and more frequently.
<h5>Martin fowler devops</h5>
Martin fowler devops <a href="http://remmont.com">Martin fowler devops</a> Martin fowler devops
SOURCE: <h6>Martin fowler devops</h6> <a href="https://dev-ops.engineer/">Martin fowler devops</a> Martin fowler devops
#tags#[replace: -,-Martin fowler devops] Martin fowler devops#tags#
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[WichitaKn]

Jira to azure devops migration - Кабринский Эдуард


<h1>Jira to azure devops migration</h1>
<p>[youtube]</p>
Jira to azure devops migration <a href="http://remmont.com">World news</a> Jira to azure devops migration
<h1>Migration- Jira to Azure DevOps [closed]</h1>
<p><b>Want to improve this question?</b> Update the question so it focuses on one problem only by editing this post.</p>
<p>Closed 6 days ago .</p>
<p>How to I migrate all stories (current sprint and historical data), comments and attachments from Jira to Azure DevOps? We just bough DevOps and would like to move all jira contents to DevOps.</p>
<p style="clear: both"><img src="https://lh3.googleusercontent.com/-XdUIqdMkCWA/AAAAAAAAAAI/AAAAAAAAAAA/4252rscbv5M/photo.jpg" /></p>
<h2>3 Answers 3</h2>
<p>Solidify Labs has a JIRA to Azure DevOps migration tool available in the Visual Studio Marketplace.</p>
<p>Some of the capabilities include (more here):</p>
<p><ul>
<li>Export Jira issues from Jira queries</li>
<li>Map users from Jira to users in Azure DevOps/TFS</li>
<li>Migrate work item field data</li>
<li>Migrate links and attachments</li>
<li>Migrate history</li>
</ul>
</p>
<p>It is possible to do but it will take some custom tooling.</p>
<p>If you are familiar with PowerShell you can use JiraPS and AzurePipelinesPS to get data from jira and post the data to Azure DevOps. If you have issues with either module feel free to open an issue on the project's GitHub page.</p>
<p>Edit: Some helpful JiraPS commands: New-JiraSession - Open a jira session Get-JiraIssue - Returns a jira issue with all its custom fields and data</p>
<p style="clear: both"><img src="https://lh5.googleusercontent.com/-O3kpjy3ErhY/AAAAAAAAAAI/AAAAAAAABVE/DtKcnEHhE54/photo.jpg" /></p>
<p>App named TFS4JIRA can help with your problem. <br />It makes possible to do one time migration and as well scheduled synchronizations both ways. Works for cloud and server instances of Azure and Jira. <br />You can check it there: TFS4JIRA </p>
<p><ul>
<li>synchronize issues (with all mapped fields there)</li>
<li>map users (f.e. assigned to field)</li>
<li>synchronize comments, attachments, web links</li>
<li>issue/item relation links .</li>
</ul>
</p>
<p>More info you can find here: documentation</p>
<p>It's commercial app, but for 30 days you can evaluate this software.</p>
<h2>Jira to azure devops migration</h2>

<h3>Jira to azure devops migration</h3>
<p>[youtube]</p>
Jira to azure devops migration <a href="http://remmont.com">Current national news</a> Jira to azure devops migration
<h4>Jira to azure devops migration</h4>
Migration- Jira to Azure DevOps [closed] Want to improve this question? Update the question so it focuses on one problem only by editing this post. Closed 6 days ago . How to I migrate
<h5>Jira to azure devops migration</h5>
Jira to azure devops migration <a href="http://remmont.com">Jira to azure devops migration</a> Jira to azure devops migration
SOURCE: <h6>Jira to azure devops migration</h6> <a href="https://dev-ops.engineer/">Jira to azure devops migration</a> Jira to azure devops migration
#tags#[replace: -,-Jira to azure devops migration] Jira to azure devops migration#tags#
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