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<b>Кабринский Эдуард - Azure devops working directory - Кабринский Эдуард


<h1>Azure devops working directory</h1>
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<h1>Deploying a static website to Azure Storage using Azure DevOps</h1>
<p style="clear: both"><img src="https://miro.medium.com/fit/c/56/56/2*NxJNt4OgqjPGje71vmW9Qw.jpeg"
; /></p>
<h4>Matthew Leak</h4>
<h4>Mar 17, 2019 В· 5 min read</h4>
<p>I had a recent requirement to host a static website for a Government project in MS Azure. There was also an additional requirement that all testing, building and deployment should be automated using CI/CD in Azure DevOps. I’m fairly new to the world of Azure after having used AWS for almost everything over the past 5+ years and so I wanted to use this as an outlet to document the process.</p>
<p>I decided to use Azure Storag e over Azure App Service (S3 and Elastic Beanstalk being the respective AWS equivalents) as there were only a few static assets to host, such as an index.html file, some css and a couple of images. The infrastructure that comes out of the box with any PaaS (Azure App Service / Beanstalk) seemed pretty unnecessary here as I like to reduce my cost footprint wherever possible. (even when cost isn’t necessarily an issue …)</em></p>
<h1>Create new Resource Group</h1>
<p>As with any new project in Azure we want to create a Resource Group. This will allow us to logically group resources for this project -</p>
<p><ol>
<li>Login in to portal.azure.com</li>
<li>From the sidebar, click “Resource Groups”</li>
<li>Click “Add”</li>
<li>Select your project/resource details and then click “Create”</li>
</ol>
</p>
<h1>Create new Storage Account</h1>
<p>The next step is to create a storage account where our static assets will be stored and used for our static website -</p>
<p><ol>
<li>From the sidebar, click “Storage accounts”</li>
<li>Click “Add”</li>
<li>Select the Subscription/Resource Group you created above. Give your storage account a name and select the region you want the assets to be stored in.</li>
<li>Proceed to select any advanced options / tags if required, otherwise click “Review + Create”</li>
<li>Select your new storage account and click “Static website” under “Settings”.</li>
<li>Enable static website hosting and provide a name for the index document (index.html)</li>
</ol>
</p>
<p>While in the Storage Account, navigate to “Access Keys” and take a note of “Key #1” as we’ll need this later.</p>
<h1>Create the Build Pipeline</h1>
<p>Here we begin to build our pipelines. Navigate to https://devops.azure.com and if required click “Create Project”. Give it a name, set your preferred visibility option and then click “Create”.</p>
<p>With our DevOps project created, it’s time to start building the Build pipeline which will produce a .zip artefact that will be used by the Release pipeline that will be created in the next section.</p>
<p>For this article, we’ll use the visual designer to build but I’ll provide the YAML config at the end of this article.</p>
<p><ol>
<li>Navigate to Pipelines > Builds</li>
<li>Click “New pipeline”</li>
<li>Click “Use the visual designer”</li>
<li>Select the source and branch of your repository and then click “Continue” and then on the next page, click “Start with an Empty job”</li>
<li>Change the Agent pool to your preferred choice (Windows/Linux) and click “+” next to “Agent job 1” (I use hosted ubuntu)</li>
<li>Add the tasks relative to your project that will produce a build (npm install, gulp build, etc.) and once you’ve got your pipeline producing a build we need to add 2 more steps to produce the artefacts</li>
<li>Add a new task to the pipeline and select “Copy Files” from the tasks list. Configure this task so that the “Source Folder” reads from your build directory ( $(Build.SourcesDirectory)/dist in my case) and set the “Target Folder” to $(Build.ArtifactStagingDirectory)</li>
<li>Add a new task to the pipeline and select “Archive Files” from the tasks list. Configure this task so the target is your build directory and set the output to: $(Build.ArtifactStagingDirectory)/$(Build.BuildId).zip</li>
<li>Add a final task to publish the build artefact. Add a new task to the pipeline and select “Publish Build Artifacts”. By default, the target to be published will be set to</em> $(Build.ArtifactStagingDirectory)</em></li>
</ol>
</p>
<h1>Create the Release Pipeline</h1>
<p>With the build pipeline complete and a zip archive of our build directory being produced, we need to release it to Azure Storage. To accomplish the upload, we’ll use the Azure CLI in the release pipeline as that’s what I’ve had the best results with.</p>
<p><ol>
<li>From the left sidebar, select Pipelines > Releases</li>
<li>Click “New Pipeline”</li>
<li>Select “Start with an empty job”</li>
<li>Rename the stage to whatever you like and click Save</li>
<li>Click “Add an artifact” and select your project and then build pipeline you just created and make sure that the default version is set to “Latest”</li>
<li>Click on the lightning bolt above where you selected your artifact and enable continuous deployments so that whenever a build pipeline completes, it will start your release pipeline automatically.</li>
<li>Under your stage name, click “1 job, 0 task”</li>
<li>Click on “Agent job” and change the agent pool to your preferred choice (Windows/Linux) and click Save.</li>
<li>Next to the agent job task, click “+” to add a new task to the release pipeline and select the “Extract Files” task.</li>
<li>Configure the task so the “Archive file patterns” match what we’ve produced in the build pipeline **/$(Build.BuildId).zip and set the destination folder to $(Build.DefaultWorkingDirectory)/$(Build.BuildId)</li>
<li>Add a new task to the release pipeline and select “Azure CLI” from the list. Set the “Script Location” to “Inline” and input the following script: <br />az storage blob upload-batch — account-name STORAGE_ACCOUNT_NAME account-key STORAGE_ACCOUNT_KEY — destination ‘$web’ — source ./</li>
<li>Replacing “STORAGE_ACCOUNT_NAME” with the name of your storage account and “STORAGE_ACCOUNT_KEY” with “Key #1” that you made a copy of when you created the new storage account in the previous section.</li>
<li>Set the working directory to $(System.DefaultWorkingDirectory)/$(Build.BuildId)/dist</li>
<li>Save the pipeline and create a new release to manually trigger the pipeline. Once complete, you can visit the URL of your static site and see your deployment in all of it’s glory. The static website URL was given to you when you enabled the static website feature in your storage account, to obtain this URL again just navigate back to portal.azure.com, select your storage account > static website.</li>
</ol>
</p>
<p>You’ll notice that in the CLI script above, our destination is set to $web which is the storage blob that Azure automatically creates when you enable the static website feature in a storage account. Any object inside of this blob will be publicly accessible via the static website URL.</p>
<p>We would normally take advantage of pipeline variables and reference those in our CLI scripts instead of adding sensitive keys to the tasks directly. I felt they were out of scope of this article and are a self-explanatory topic if you’ve ever used any other CI/CD tool.</p>
<p>A full reference to the Azure DevOps YAML schema can be found here along with a catalog of tasks that also provide YAML snippets.</p>
<h2>Azure devops working directory</h2>

<h3>Azure devops working directory</h3>
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<h4>Azure devops working directory</h4>
I had a recent requirement to host a static website for a Government project in MS Azure. There was also an additional requirement that all testing, building and deployment should be automated using…
<h5>Azure devops working directory</h5>
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<b>Кабринский Эдуард - Azure devops gated check in - Kabrinskiy Eduard


<h1>Azure devops gated check in</h1>
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<h1>Azure DevOps Multi-Stage Pipelines Approval Strategies</h1>
<p>There are two ways using Azure DevOps Release Pipelines. We use UI so that we compose each task directly on the screen. On the other hand, we can use YAML pipelines so that all the pipeline stages, jobs and tasks are managed as code. We call the second option as "Multi-Stage Pipelines". As the Multi-Stage Pipelines feature is still in public preview, it doesn't fully offer the same functionalities that the UI pipelines do. The approval process for each release stage is one of the limited features, but it's been available for a couple of months now.</p>
<p>In my previous post, I dealt with YAML pipeline refactoring technics. Throughout this post, I'm going to discuss how each release stage can configure the approval process.</p>
<blockquote><p>The sample release pipeline code can be found at this GitHub repository.</p></blockquote>
<h2>Prerequisites</h2>
<p>It would be nice to have the following tools if you want to read and follow this post:</p>
<h2>Multi-Stage Release Pipeline Check-In</h2>
<p>The classic UI release pipeline allows developers to put various configurations on each stage. We can configure pre-/post-approvals either automatically or manually. We also can do pre-/post-gated-check-in features. Which one can we do this on our YAML pipelines?</p>
<p><strong>NONE</strong></p>
<p>Unfortunately, we can't do anything like this on the Multi-Stage pipelines. However, the deployment job used in a release stage includes the environment attribute, which allows the manual approval check. Let's have a look at the sample pipeline below. It says the first two release stages have the same environment name of release .</p>
<table data-tab-size="8" data-paste-markdown-skip> <tr> <td >stages :</td> </tr> <tr> <td >.</td> </tr> <tr> <td >- stage : ReleaseWithoutTemplate</td> </tr> <tr> <td >displayName : ' Release without Template '</td> </tr> <tr> <td >.</td> </tr> <tr> <td >jobs :</td> </tr> <tr> <td >- deployment : HostedVs2017</td> </tr> <tr> <td >.</td> </tr> <tr> <td >environment : release</td> </tr> <tr> <td >.</td> </tr> <tr> <td >- stage : ReleaseWithStepsTemplate</td> </tr> <tr> <td >displayName : ' Release with Steps Template '</td> </tr> <tr> <td >.</td> </tr> <tr> <td >jobs :</td> </tr> <tr> <td >- deployment : HostedVs2017</td> </tr> <tr> <td >.</td> </tr> <tr> <td >environment : release</td> </tr> <tr> <td >.</td> </tr> <tr> <td >.</td> </tr> </table>
<p>In other words, those two different stages share the same environment of release . We can configure the manual approval check on the environment. Let's have a look at the picture below. First of all, click the Environment tab.</p>
<p style="clear: both"><img src="https://sa0blogs.blob.core.windows.net/devkimchi/2019/09/azure-devops-
yaml-pipelines-approval-strategy-01.png" /></p>
<p>In this screen, choose an environment to activate the approval feature. In this example, the picture selects the release environment.</p>
<p style="clear: both"><img src="https://sa0blogs.blob.core.windows.net/devkimchi/2019/09/azure-devops-
yaml-pipelines-approval-strategy-02.png" /></p>
<p>Within the release environment, click the three dots button at the right top corner of the screen and select the Checks menu.</p>
<p style="clear: both"><img src="https://sa0blogs.blob.core.windows.net/devkimchi/2019/09/azure-devops-
yaml-pipelines-approval-strategy-03.png" /></p>
<p>As it's our first time to add manual approval, we see nothing but the screen below. Click the Create button.</p>
<p style="clear: both"><img src="https://sa0blogs.blob.core.windows.net/devkimchi/2019/09/azure-devops-
yaml-pipelines-approval-strategy-04.png" /></p>
<p>Select the approvers. If we choose approvers individually, all approvers <strong>MUST</strong> approve the stage; otherwise, the pipeline cannot proceed. If we want a group or team as an approver, only one of the group/team member would be enough for approval.</p>
<p style="clear: both"><img src="https://sa0blogs.blob.core.windows.net/devkimchi/2019/09/azure-devops-
yaml-pipelines-approval-strategy-05.png" /></p>
<p>We've now assigned the approver like below:</p>
<p style="clear: both"><img src="https://sa0blogs.blob.core.windows.net/devkimchi/2019/09/azure-devops-
yaml-pipelines-approval-strategy-06.png" /></p>
<p>Let's rerun the pipeline. The pipeline stops at the stage of Release without Template and waiting for approval. Click the Review button in the middle of the screen.</p>
<p style="clear: both"><img src="https://sa0blogs.blob.core.windows.net/devkimchi/2019/09/azure-devops-
yaml-pipelines-approval-strategy-07.png" /></p>
<p>The approver can see the buttons below – to approve or reject. Choose the Approve button to proceed.</p>
<p style="clear: both"><img src="https://sa0blogs.blob.core.windows.net/devkimchi/2019/09/azure-devops-
yaml-pipelines-approval-strategy-08.png" /></p>
<p>Now the pipeline carries on the stage, stops the next stage of Release with Steps Template and waits for another approval.</p>
<p style="clear: both"><img src="https://sa0blogs.blob.core.windows.net/devkimchi/2019/09/azure-devops-
yaml-pipelines-approval-strategy-09.png" /></p>
<p>Give the approval to the pipeline and wait to see. This time, the pipeline doesn't stop at the next stage but keeps moving onto the next stages.</p>
<p style="clear: both"><img src="https://sa0blogs.blob.core.windows.net/devkimchi/2019/09/azure-devops-
yaml-pipelines-approval-strategy-10.png" /></p>
<p>The pipeline defined above sets up the environment name of release on the first two stages, and the rest stages use their own environment name. This is the reason why the rest stages are not being interrupted.</p>
<p>You might be able to catch an essential point here. Depending on how we configure the environment on each stage, one environment can dictate all approvals, or multiple environments can take care of their own stages.</p>
<p>Let's have a look at the diagram below. All stages share the release environment and set the QA as the approver. Therefore, every time the stage stops for approval and QA has to approve to move onto the next stage. If we want to skip the approval step at the DEV stage, this single environment approach won't give you that flexibility. If we're going to assign a different approver at the PROD stage, it won't be possible either.</p>
<p style="clear: both"><img src="https://sa0blogs.blob.core.windows.net/devkimchi/2019/09/azure-devops-
yaml-pipelines-approval-strategy-11.png" /></p>
<p>On the other hand, in the diagram below, each stage has its own environment. We even set a different approver or don't set the approver on each stage. In other words, having a different environment on each stage will give more flexibilities from the approval point of view.</p>
<p style="clear: both"><img src="https://sa0blogs.blob.core.windows.net/devkimchi/2019/09/azure-devops-
yaml-pipelines-approval-strategy-12.png" /></p>
<p>It may sound more reasonable to have their own environment for each stage. But we also need to consider the management overhead. The more environments we create, the more difficult we manage them. If we have only one environment, we dictate them all in one go.</p>
<p>We can also use a mixture of both approaches. For example, consider group stages into several environments like dev , non-prod and prod and assign stages to each environment like DEV to dev , TEST and UAT to non-prod , and PROD to prod .</p>
<p>As it's still in preview, I'm not sure how it's changing when it becomes GA. But for now, if you need the approval process in the Multi-Stage pipelines, consider those strategies.</p>
<p>If you haven't tried the practice above, why don't you do it now?</p>
<h2>Azure devops gated check in</h2>

<h3>Azure devops gated check in</h3>
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<h4>Azure devops gated check in</h4>
There are two ways using Azure DevOps Release Pipelines. We use UI so that we compose each task directly on the screen. On the other hand, we can use YAML pipelines so that all the pipeline stages, jobs and tasks are managed as code. We call the second option as &quot;Multi-Stage Pipe ...
<h5>Azure devops gated check in</h5>
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<b>Кабринский Эдуард</b>
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<b>Eduard Kabrinskiy - Product management is one of the 7 devops practices - Eduard Kabrinskiy


<h1>Product management is one of the 7 devops practices</h1>
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<h1>Redgate Blog</h1>

<h4>Guest post</h4>
<p>This is a guest post from DevOpsGroup. <strong>DevOpsGroup </strong> deliver IT transformation at the speed of disruption, by building DevOps capabilities within our clients, enabling them to meet the relentlessly increasing demand of delivering great digital customer experiences.</p>
<p>As a next-generation digital business with hands-on experience at enterprise scale, our services enable clients to stay ahead of the technology curve, empower transformation leaders and unlock business agility.</p>
<p>Within the DevOps space, we’re widely regarded as thought leaders and have been quoted in research by Gartner, Forrester, and Microsoft. Our broad client portfolio includes work with multi-national companies such as Admiral Insurance, ASOS, BAE Systems, Skyscanner, and Vodafone.</p>
<p>We hold top-tier accreditations with all the major vendors of DevOps automation software, including Atlassian, Ansible, Red Hat, AWS, Octopus, Redgate, AppDynamics, and Microsoft. We’re also skilled in open-source tooling such as Git, Chef, Puppet, Jenkins, ELK, and Docker.</p>
<p>Underpinned by agile and lean methodologies, our digital transformation initiatives can boost customer satisfaction and revenue, as well as enable innovation in order to drive competitive advantage.</p>

<h1>Where’s the Ops in DevOps? Part 1</h1>
<h4>Guest post</h4>
<p>This is a guest post from DevOpsGroup. <strong>DevOpsGroup </strong> deliver IT transformation at the speed of disruption, by building DevOps capabilities within our clients, enabling them to meet the relentlessly increasing demand of delivering great digital customer experiences.</p>
<p>As a next-generation digital business with hands-on experience at enterprise scale, our services enable clients to stay ahead of the technology curve, empower transformation leaders and unlock business agility.</p>
<p>Within the DevOps space, we’re widely regarded as thought leaders and have been quoted in research by Gartner, Forrester, and Microsoft. Our broad client portfolio includes work with multi-national companies such as Admiral Insurance, ASOS, BAE Systems, Skyscanner, and Vodafone.</p>
<p>We hold top-tier accreditations with all the major vendors of DevOps automation software, including Atlassian, Ansible, Red Hat, AWS, Octopus, Redgate, AppDynamics, and Microsoft. We’re also skilled in open-source tooling such as Git, Chef, Puppet, Jenkins, ELK, and Docker.</p>
<p>Underpinned by agile and lean methodologies, our digital transformation initiatives can boost customer satisfaction and revenue, as well as enable innovation in order to drive competitive advantage.</p>
<p><strong><em>In this three-part series, guest bloggers from DevOpsGroup look at the real role of Ops in DevOps. Where it changes, how it changes, and why Ops has an important part to play in the brave new world of DevOps.</em></strong></p>
<h2><strong>DevOps does not equal ‘Developers managing Production’</strong></h2>
<p>I’ve had quite a few conversations, mainly with smaller start-ups or development houses, who tell me: <em>“Yes, we work in a DevOps model.”</em></p>
<p>What they really mean is: <em>“We pretty much have no Operations capability at all, and we rely on the Developers to build, deploy and manage all of the environments from Development to Test to Production. Mostly by hand. Badly.”</em></p>
<p>As someone from a predominately Operations background, I find this quite frustrating.</p>
<p>Operations is a discipline, with its own patterns and practices, methodologies, models, tools, technology, etc. Just because modern cloud hosting makes it easier to deploy servers without having to know one end of a SCSI cable from another doesn’t mean you know how to do Operations (just like my knowledge of SQL is enough to find out the information I need to monitor and manage the environment, but a long way from what’s required to develop a complex, high-performing website).</p>
<p>DevOps means Development and Operations working together collaboratively to put the Operations requirements about stability, reliability, performance into the Development practices – while at the same time bringing Development into the management of the Production environment. For example, by putting them on-call, or by leveraging their development skills to help automate key processes.</p>
<p>It doesn’t mean a return to the laissez-faire ‘anything goes’ model, where developers have unfettered access to the Production environment 24x7x365 and can change things as and when they like.</p>
<p>Change control was invented for a reason, and while change control has becomes its own cottage industry involving ever more bureaucratic layers of management-by-form-filling, the basic discipline remains sound. Think about what you want to change, automate it if you can, test it, understand what to do if it screws up (the rollback plan), document the change, make sure everyone knows when, where and how you are making the change, and make sure the business owner approves.</p>
<p>When I took over the Operations of a high-volume UK website about eight years ago, I spent the first three weekends fighting fires and troubleshooting Production issues.</p>
<p>My first action after that baptism of fire was to revoke access to Production for all developers (over howls of protests). Availability and stability immediately went up. Deafening silence from Development – invitations to beers from the business owners.</p>
<p>Next step was to hire a Build Manager to take over the build and deployment automation, and a Release Manager to coordinate with the business what was going into each release, and when, etc. End result – 99.98% availability, with more releases being deployed within business hours without impacting the users, and a lower TCO. The business was much happier, and so was the Development Manager, because he was losing far fewer developer hours to firefighting Production issues, and hence the overall development velocity improved considerably. Win-Win.</p>
<p>Was that a DevOps anti-pattern? Did I create more silos? Probably … but in a firefight a battlefield commander doesn’t sit everyone down for a sharing circle on how they’re going to address the mutual challenge of killing the other guy before he kills you. Sometimes a command and control model is the right one for the challenge you face (like getting some supressing fire on the target while you radio in for some air support or artillery!).</p>
<p>That said, once we had developed a measure of stability, we did move partway to a more DevOps pattern – we had developers on-call 24?7 as third-line support, we virtualised our environment(s) and gave Developers more control over them, and we increased our use of automation.</p>
<p>Organisationally, we remained siloed however – we were incentivised in different ways (Operations emphasising availability, Development emphasising feature delivery), we remained in essentially a waterfall delivery model and Ops vs Dev was a constant struggle for manpower and resources. All the usual problems that the DevOps movement is trying to address.</p>
<p>In summary, what I am trying to get at is, please don’t devalue the DevOps concept by saying you do DevOps when you don’t.</p>
<p>Unless you currently do both Development AND Operations separately, and do them well, AND you’re now trying to synthesise a better, more agile, more cloud-oriented way of working that takes the best part of both disciplines … you aren’t doing DevOps!</p>
<h2>Product management is one of the 7 devops practices</h2>

<h3>Product management is one of the 7 devops practices</h3>
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<h4>Product management is one of the 7 devops practices</h4>
In this 3-part series, DevOpsGroup look at the real role of Ops in DevOps. In part 1, find out why DevOps doesn't equal ‘Developers managing Production’.
<h5>Product management is one of the 7 devops practices</h5>
Product management is one of the 7 devops practices <a href="http://remmont.com">Product management is one of the 7 devops practices</a> Product management is one of the 7 devops practices
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<b>Eduard Kabrinskiy</b>
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