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Eduard Kabrinskiy - Devops in a nutshell - Эдуард Кабринский


<h1>Devops in a nutshell</h1>
<p>[youtube]</p>
Devops in a nutshell <a href="http://remmont.com">New</a> Devops in a nutshell
<h1>Docker Basics In a Nutshell</h1>
<h3>A quick reference and example of how to get started with Docker from a new container user.</h3>
<p>Join the DZone community and get the full member experience.</p>
<p>i have a number of posts from my playing around with docker so far. i?ve seen a number of posts from people asking how they should get started with docker. there?s a number of getting started guides that will get you up and running. try the getting started tutorials on the docker site.</p>
<p>i?m not going to attempt to re-write my own version of other tutorials as they are good already. instead, i?m going to distill down a few core steps as a quick reference and a quick example. if you?ve no idea what containerization is about, this page is a good overview.</p>
<p>assuming first if you?re on mac or windows you?ve already installed the docker toolbox. if not, head over here and follow the instructions.</p>
<p><ul>
<li>images are read-only definitions used to create a container (they describe the content of a container, starting with a base image, at the very least a base linux os)</li>
<li>you can browse shared images at docker hub (or host your own hub)</li>
<li>images can be used as the starting point and extended to create other images</li>
<li>a container is an instance of an image that can start, pause, stop</li>
</ul>
</p>
<h2>start the quickstart terminal.</h2>
<p>let?s pull an image ( busybox ) and start it up:</p>
<h3>docker pull busybox</h3>
<p style="clear: both"> <img src="https://dz2cdn1.dzone.com/storage/temp/14012096-img_56612beb38d62.png" /></p>
<p>now let?s run a container based on this image, run it interactively (-i) capturing the tty (-t) and execute a shell (the hex value is the id of the image):</p>
<h3>docker run -it c51f86c28340 sh</h3>
<p style="clear: both"> <img src="https://dz2cdn1.dzone.com/storage/temp/14012097-img_56612cd242201.png" /></p>
<p>on a reasonably recent machine you?ll probably see the sh prompt appear in a second or less. if you exit the shell, your container will also terminate because it?s not running anything (by exiting the shell you terminated the command you asked the container to run).</p>
<p>you can see currently running containers with ?docker ps? and list all containers included recently terminated with ?docker ps -a?:</p>
<p style="clear: both"> <img src="https://dz2cdn1.dzone.com/storage/temp/14012098-img_56612e589a91d.png" /></p>
<p>let?s start it up the same container again in interactive mode: ?docker start -i 9fd9f0402821? :</p>
<p style="clear: both"> <img src="https://dz2cdn1.dzone.com/storage/temp/14012099-img_56612f462d438.png" /></p>
<p>each time we start it up, you should notice it starts pretty quick, in 1 second or less.</p>
<h2>containerization vs. virtualization</h2>
<p>if you?ve ever installed a guest os in a virtual machine using virtualization software like virtualbox, vmware or parallels, you should now be noticing a major difference between containerization and virtualization. how did that container boot so fast.</p>
<p>the difference between these two approaches is that virtualization allows sharing of the platform hardware, so multiple guest oses can be installed on the same hardware. containers on the other hand allow sharing of the operating system ? each container shares common libraries and resources from the underlying linux os. containerization solutions like docker rely on features natively provided by linux to achieve this. running docker on a non-linux platform, like windows or os x requires hybrid approach running a linux guest in a virtual machine ? the docker toolbox and docker-machine takes care of this for you.</p>
<p>next steps from this point would be to create your own image running some service or app in a container. if you look through some of my previous posts , hopefully these will now make more sense now we?ve covered some of the basics.</p>
<h2>Devops in a nutshell</h2>

<h3>Devops in a nutshell</h3>
<p>[youtube]</p>
Devops in a nutshell <a href="http://remmont.com">The news</a> Devops in a nutshell
<h4>Devops in a nutshell</h4>
Docker Basics In a Nutshell A quick reference and example of how to get started with Docker from a new container user. Join the DZone community and get the full member experience. i have a
<h5>Devops in a nutshell</h5>
Devops in a nutshell <a href="http://remmont.com">Devops in a nutshell</a> Devops in a nutshell
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Kabrinskiy Eduard
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Gitlab azure devops - Кабринский Эдуард


<h1>Gitlab azure devops</h1>
<p>[youtube]</p>
Gitlab azure devops <a href="http://remmont.com">Newspaper headlines</a> Gitlab azure devops
<h1>GitLab Integration for Azure Pipelines extension</h1>
<p>This is an extension for Azure DevOps, which integrates GitLab with Azure Pipelines. With this extension, you will be able to download the sources from a GitLab repository (using clone command) and use downloaded sources in Azure Pipelines. The extension comes as an artifact source in Release Management and also has a Build task to download sources in your build pipeline.</p>
<p style="clear: both"><img src="https://www.visualstudiogeeks.com/images/screenshots/utkarsh/gitlab-integration-extension/marketplace-branding.png" /></p>
<p><strong><em>3rd Party Notices</em></strong></p>
<p><ul>
<li><em>GitLab is the trademark of GitLab, Inc. The GitLab trademark and logo are associated with GitLab - For details go to GitLab License page.</em></li>
<li><em>This extension has been developed by Utkarsh Shigihalli and is not associated with GitLab.</em></li>
</ul>
</p>
<h2>Usage</h2>
<h3>1. Connecting to GitLab</h3>
<p>The extension provides a GitLab service connection to connect to GitLab using a Personal access token (PAT).</p>
<p> <table> <tbody> <tr> <td>To connect, go to Project Settings</td> <td>Service connections tab and create a New service connection and click on GitLab</td> </tr> </tbody> </table> </p>
<p style="clear: both"><img src="https://www.visualstudiogeeks.com/images/screenshots/utkarsh/gitlab-integration-extension/new-gitlab-endpoint.png" /></p>
<p>You will now see a window asking for GitLab details. Enter your GitLab UserName and API Token . Give service connection a name and Verify connection .</p>
<p style="clear: both"><img src="https://www.visualstudiogeeks.com/images/screenshots/utkarsh/gitlab-integration-extension/add-endpoint.png" /></p>
<p>If you verified successfully, click OK to save.</p>
<h3>2. Downloading GitLab repo in Release</h3>
<p>Once you have the GitLab service connection setup, go to Release hub in Azure Pipelines and edit a release definition. Click Add [1 in image below] on artifacts and select GitLab [2 in image below].</p>
<p style="clear: both"><img src="https://www.visualstudiogeeks.com/images/screenshots/utkarsh/gitlab-integration-extension/add-artifact-release.png" /></p>
<p>You will then need to select the GitLab service connection you created. Once you select, the extension will list all the repositories you own, and after that you will have three options to select artifact version .</p>
<p><ul>
<li>Latest from default branch : This will download the default branch for the repository.</li>
<li>Latest from specific branch : This will list all the available branches and download the latest commit from the selected branch.</li>
<li>Specify at the time of release creation : As the name suggests, you will have the option to specify the commit id while triggering a release.</li>
</ul>
</p>
<p style="clear: both"><img src="https://www.visualstudiogeeks.com/images/screenshots/utkarsh/gitlab-integration-extension/add-repo-release.png" /></p>
<p>Save the release definition and trigger a new release.</p>
<p>In the dialog which opens, you will see all your linked artifacts. You will have an option to fill in the commit id if you have selected specify at the time of release creation for an artifact source.</p>
<p style="clear: both"><img src="https://www.visualstudiogeeks.com/images/screenshots/utkarsh/gitlab-integration-extension/create-release.png" /></p>
<h3>3. Browse artifacts</h3>
<p>Once you link your artifact to release, you will also be able to browse the linked artifacts from GitLab in any of the tasks in your pipeline. In the image below, I am browsing artifacts from GitLab inside a Copy Files task. Cool right?</p>
<p style="clear: both"><img src="https://www.visualstudiogeeks.com/images/screenshots/utkarsh/gitlab-integration-extension/browse-artifact.png" /></p>
<h3>4. Downloading GitLab repo in Build</h3>
<p>In some scenarios, you may also want to consume the GitLab repository in your Azure Pipelines build definition. The extension provides the build task to clone and download the repository.</p>
<p>In your build definition, search for the task and you should see the task listed.</p>
<p style="clear: both"><img src="https://www.visualstudiogeeks.com/images/screenshots/utkarsh/gitlab-integration-extension/add-task-build.png" /></p>
<p>Click Add and select the created GitLab service connection. Once you do that, as you can see from the screenshot, you will be able to select the repository, branch and version. You will have to specify the Download Path to which the source from GitLab should be downloaded. In the image below, I am setting it to a Azure DevOps variable $(build.sourcedirectory) but you can use any valid path.</p>
<p style="clear: both"><img src="https://www.visualstudiogeeks.com/images/screenshots/utkarsh/gitlab-integration-extension/configure-task-build.png" /></p>
<h2>Feedback</h2>
<p>Please rate the extension and share/tweet to spread the word!!</p>
<p><ul>
<li>Found a bug or need to make a feature request? - Raise it as an issue.</li>
<li>Have a question? - Raise it here in the Q and A section.</li>
</ul>
</p>
<h2>Credits</h2>
<p>Special thanks to Sriram Balasubramaniam, Omesh Pandita, Romil Goyal, Ashok Kirla and Gopinath Chigakkagari from Microsoft product team, for all the guidance and support in developing this extension.</p>
<h2>Gitlab azure devops</h2>

<h3>Gitlab azure devops</h3>
<p>[youtube]</p>
Gitlab azure devops <a href="http://remmont.com">Today's national news headlines in english</a> Gitlab azure devops
<h4>Gitlab azure devops</h4>
This is an extension for Azure DevOps, which integrates GitLab with Azure Pipelines. With this extension, you will be able to download the sources from a Git...
<h5>Gitlab azure devops</h5>
Gitlab azure devops <a href="http://remmont.com">Gitlab azure devops</a> Gitlab azure devops
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[ISADSige]

Devops gcp - Кабринский Эдуард


<h1>Devops gcp</h1>
<p>[youtube]</p>
Devops gcp <a href="http://remmont.com">The news</a> Devops gcp
<h1>Google Professional Cloud DevOps Engineer (GCP)</h1>
<h2>Google Professional Cloud DevOps Engineer (GCP)</h2>
<h4>Free Practice Test</h4>
<ul>
<li>Type Exam Format</li>
<li>No. of Questions 10</li>
<li>Access Immediate</li>
<li>Access Duration Life Long Access</li>
<li>Exam Delivery Online</li>
<li>Test Modes Practice</li>
</ul>
<h4>Practice Exam</h4>
<ul>
<li>Type Exam Format</li>
<li>No. of Questions 79</li>
<li>Access Immediate</li>
<li>Access Duration Life Long Access</li>
<li>Exam Delivery Online</li>
<li>Test Modes Practice, Exam</li>
</ul>
<h4>Online Course</h4>
<ul>
<li>Content Type Video</li>
<li>Delivery Online</li>
<li>Access Immediate</li>
<li>Access Duration Life Long Access</li>
<li>No of videos -</li>
<li>No of hours -</li>
</ul>
<h2><b>Google Professional Cloud DevOps Engineer (GCP) Exam</b></h2>
<h3>Google Professional Cloud DevOps Engineer (GCP) exam has been designed to test technical skills related to the job role. Candidates preparing for the exam should have hands-on experience. Google Professional Cloud DevOps Engineer exam assesses the candidates ability to - <br /></h3>
<ul>
<li>Apply site reliability engineering principles to a service</li>
<li>Optimize service performance</li>
<li>Implement service monitoring strategies</li>
<li>Build and implement CI/CD pipelines for a service</li>
<li>Manage service incidents</li>
</ul>
<h4><b>Who should take the exam?</b></h4>
<p>Candidates planning to go for Professional Cloud DevOps Engineer will be responsible for efficient development operations that can balance service reliability and delivery speed. Also they should have the skills to use Google Cloud Platform to build software delivery pipelines, deploy and monitor services, and manage and learn from incidents.</p>
<h4><b>Course Structure</b></h4>
<p>Google Professional Cloud DevOps Engineer (GCP) Exam covers the following topics -</p>
<p><b>1. Applying site reliability engineering principles to a service</b><br /></p>
<p><ul>
<li>1.1 Balance change, velocity, and reliability of the service</li>
<li>1.2 Manage service life cycle</li>
<li>1.3 Ensure healthy communication and collaboration for operations</li>
</ul>
</p>
<p><b>2. Building and implementing CI/CD pipelines for a service</b></p>
<p><ul>
<li>2.1 Design CI/CD pipelines<br /></li>
<li>2.2 Implement CI/CD pipelines</li>
<li>2.3 Manage configuration and secrets</li>
<li>2.4 Manage infrastructure as code</li>
<li>2.5 Deploy CI/CD tooling</li>
<li>2.6 Manage different development environments</li>
<li>2.7 Secure the deployment pipeline</li>
</ul>
</p>
<p><b>3. Implementing service monitoring strategies</b></p>
<p><ul>
<li>3.1 Manage application logs</li>
<li>3.2 Manage application metrics with Stackdriver Monitoring</li>
<li>3.3 Manage Stackdriver Monitoring platform</li>
<li>3.4 Manage Stackdriver Logging platform</li>
<li>3.5 Implement logging and monitoring access controls</li>
</ul>
</p>
<p><b>4. Optimizing service performance</b></p>
<p><ul>
<li>4.1 Identify service performance issues</li>
<li>4.2 Debug application code</li>
<li>4.3 Optimize resource utilization</li>
</ul>
</p>
<p><b>5. Managing service incidents</b></p>
<p><ul>
<li>5.1 Coordinate roles and implement communication channels during a service incident</li>
<li>5.2 Investigate incident symptoms impacting users with Stackdriver IRM</li>
<li>5.3 Mitigate incident impact on users</li>
<li>5.4 Resolve issues</li>
<li>5.5 Document issue in a postmortem</li>
</ul>
</p>
<h4><b>Validate your skills to become a Google Professional Cloud DevOps Engineer (GCP) Exam with real-time practice exam and expert guidance. Try Free Practice Test Now!</b></h4>
<h2>Exam Format and Information</h2>
<p><b>Exam Name</b> Google Professional Cloud DevOps Engineer<br /></p>
<td><b>Exam Code</b> GCP<br /></td> </tr> <tr> <td><b>Exam Duration</b> 2 hours<br /></td> <td><b>Exam Format</b> Multiple Choice and Multi-Response Questions<br /></td> </tr> <tr> <td><b>Exam Type</b> Proctored Exam<br /></td> <td><b>Passing Score</b> NA<br /></td> </tr> <tr> <td><b>Eligibility/Pre-Requisite</b> None<br /></td> <td><b>Exam Fee</b> $200 USD*<br /></td> </tr> <tr>
<p><b>Exam Language</b> English</p>
<p><b>Recommended Experience</b> Three+ years of industry experience including one+ years managing solutions on GCP</p>
<h2>Google Professional Cloud DevOps Engineer (GCP) FAQs</h2>
<h4>What is a Google Cloud certification?</h4>
<h4>Why should I get a Google Cloud certification?</h4>
<h4>What happens if I don't pass a certification exam?</h4>
<h4>Is there an age requirement in order to be able to take a certification exam?</h4>
<h4>Why don't I receive my score or any feedback when I submit my exam?</h4>
<h4>How can I prepare for the exams?</h4>
<h4>How much do Google certification exams cost?</h4>
<h4>Are all questions on the exam scored?</h4>
<h4>Are remotely proctored certification exams open-book exams?</h4>
<h4>How long is a Google Cloud certification valid?</h4>
<h4>Do you offer any discount on the bulk purchase?</h4>
<h4>Do you provide any preparation guidance for this certification exam?</h4>
<h4>Can we try the free test before purchasing the practice exam?</h4>
<h4>Does Testprep Training offer Money Back Guarantee for the Exam Simulator?</h4>
<h2>Why Choose Us?</h2>
<p>We are offering hundreds of UNIQUE practice questions for various certification exam.</p>
<p>Many hours of Training Videos for all Exam Objectives (100% Syllabus Covered)</p>
<p>We provide 100% Unconditional Money Back Guarantee.</p>
<p>Our support team consists of Subject Matter Experts, ready to clarify all your questions.</p>
<h2>Devops gcp</h2>

<h3>Devops gcp</h3>
<p>[youtube]</p>
Devops gcp <a href="http://remmont.com">Latest current news</a> Devops gcp
<h4>Devops gcp</h4>
Get ready to boost your learning and prepare to pass Google Professional Cloud DevOps Engineer Exam with 100% guarantee. Try Free Practice Test Now!
<h5>Devops gcp</h5>
Devops gcp <a href="http://remmont.com">Devops gcp</a> Devops gcp
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Azure devops services pricing - Kabrinskiy Eduard


<h1>Azure devops services pricing</h1>
<p>[youtube]</p>
Azure devops services pricing <a href="http://remmont.com">Latest it news</a> Azure devops services pricing
<h1>Azure devops services pricing</h1>
<p style="clear: both"><img src="https://msdn.microsoft.com/uxresources/Areas/Centers/Themes/StandardDevCenter/Content/HeaderFooterSprite.png" /></p>
<p style="clear: both"><img src="https://msdn.microsoft.com/uxresources/Areas/Centers/Themes/StandardDevCenter/Content/HeaderFooterSprite.png" /></p>
<h3><img src="https://i1.social.s-msft.com/globalresources/Images/trans.gif" /> </h3>
<h3>Answered by:</h3>
<p style="clear: both"><img src="https://i1.social.s-msft.com/globalresources/Images/trans.gif" /></p>
<h3>Question</h3>
<p style="clear: both"><img src="https://i1.social.s-msft.com/globalresources/Images/trans.gif" /></p>
<p style="clear: both"><img src="https://i1.social.s-msft.com/globalresources/Images/trans.gif" /></p>
<p>Hi! Can't find any category for DevOps, Pipelines or anything similar (please fix this, it's horrible that there is no category for such a big product? If I'm just blind, I apologize for that.), so I put it under this category, move if it is wrong.</p>
<p>I'm using Pipelines in DevOps Services and I'm trying to figure out how much it will cost and what limitations that apply to me.</p>
<p>I only have 1 release pipeline, it consists of 1 job with 3 tasks, the entire job runs on a Deployment Group that contains a number of physical machines with the "azagent" installed on it (insert link to deployment group docs). All of these machines are on physical machines I own, not VMs on azure. All the pipeline does is fetch artifacts from TeamCity and then run IIS deployments and nuget package installation on the machines.</p>
<p>Now I've tried to read this: (insert link to parallel jobs docs) to understand exactly what applies in my scenario but can't really confirm since I can't see my actual usage anywhere. It says that deployment group jobs do not consume parallel jobs.</p>
<p>Now Pipelines obviously needs to coordinate the deployments by communicating with the agents on the machines, but does this use up any of the resources that have a time limit or cost related to them? Is all this considered to run on "self-hosted"? I'm still unsure since it says my 1 free Microsoft-hosted has used 0/1800 minutes (fair enough) but it also doesn't show any active jobs on my included self-hosted job when I run a deployment. Hence my confusion.</p>
<p>Does this mean that I can run as many deployment jobs as I wish in parallel, to as many agents as I want in my deployment groups, for free?</p>
<h2>Azure devops services pricing</h2>

<h3>Azure devops services pricing</h3>
<p>[youtube]</p>
Azure devops services pricing <a href="http://remmont.com">Current news stories</a> Azure devops services pricing
<h4>Azure devops services pricing</h4>
Azure devops services pricing Answered by: Question Hi! Can't find any category for DevOps, Pipelines or anything similar (please fix this, it's horrible that
<h5>Azure devops services pricing</h5>
Azure devops services pricing <a href="http://remmont.com">Azure devops services pricing</a> Azure devops services pricing
SOURCE: <h6>Azure devops services pricing</h6> <a href="https://dev-ops.engineer/">Azure devops services pricing</a> Azure devops services pricing
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Azure devops working directory - Эдуард Кабринский


<h1>Azure devops working directory</h1>
<p>[youtube]</p>
Azure devops working directory <a href="http://remmont.com">Latest world news</a> Azure devops working directory
<h1>Understanding the directory structure created by Azure DevOps tasks.</h1>
<p>As a beginner in all things Azure DevOps, understanding when folders are created and populated by the pipeline tasks is the first step to learning how to manipulate it to suit your needs.</p>
<h4>The YAML</h4>
<p>Using Visual Studio I created an ASP.NET based project (named TestApplication). The YAML file shown below was the template created by Azure DevOps, following this tutorial. However, the <em>VSBuild@1</em> task was modified using this, as it resulted in a more suitable folder structure. I also added a <em>PublishBuildArtifacts@1</em>. <br /></p>
<p>I ran this YAML file multiple times using PowerShell tasks to display the environment variables at different stages of the pipeline.</p>
<h4>Overall look at the directory structure</h4>
<p style="clear: both">This image shows a big-picture look at the directory structure after one complete run of the pipeline. <br /><img style="float: left; margin: 0 10px 5px 0;" src="https://res.cloudinary.com/practicaldev/image/fetch/s--ffDkvO-F--/c_limit%2Cf_auto%2Cfl_progressive%2Cq_auto%2Cw_880/https://dev-to-uploads.s3.amazonaws.com/i/lgl3rixyjoa8atfxc505.jpg" /></p>
<h4>Summary of when each directory is used</h4>
<p>Most of this information, though publicly available on the Microsoft docs, is not very intuitive to a beginner. I hope that this table summarizes the usage of the most relevant directories.</p>
<table> <thead> <tr> <th>Directory</th> <th>Uses</th> <th>References</th> </tr> </th> <tbody> <tr> <td>/a</td> <td>This is the working director for agent <em>a</em>.</td> <td>Agent.WorkFolder</td> </tr> <tr> <td>/a/1/a</td> <td>Artifact staging directory. This is where the VS Build task results are stored in. The publish build artifacts task creates an artifact of whatever is in this folder. Note - it gets purged before each new build.</td> <td>Build.StagingDirectory, System.ArtifactsDirectory, Build.ArtifactStagingDirectory</td> </tr> <tr> <td>/a/1/b</td> <td>The output folder for compiled binaries.</td> <td>Build.BinariesDirectory</td> </tr> <tr> <td>/a/1/s</td> <td>Source directory. This is the working directory and where your source code is stored.</td> <td>Build.SourcesDirectory, System.DefaultWorkingDirectory</td> </tr> </tbody> </table>
<h4>Conclusion</h4>
<p>This information was very helpful to me when it came down to customizing a YAML for my project. I wasn't able to find any existing documentation or articles like this, so please feel free to add links in the comments to similar articles if they exist. <br />:)</p>
<h3>Discussion</h3>
<p style="clear: both"><img src="https://res.cloudinary.com/practicaldev/image/fetch/s--FXSwhAuf--/c_fill,f_auto,fl_progressive,h_50,q_auto,w_50/https://dev-to-uploads.s3.amazonaws.com/uploads/user/profile_image/465375/681e481f-ef6d-45d8-8d5f-a0c82e29ed77.jpeg" /></p>
<p>I think the one thing that should be pointed out is that none of these folders are guaranteed to have anything in them, depending on how your build is configured.</p>
<p>For example, if I have a set of steps in my YAML that look like this: <br /></p>
<p>The only folder that is going to have anything in it is the 's' directory because that is where the build agent clones the source to. The build would then run inside the 's' folder and the output would be directed to whatever folder was configured in the projects (usually bin), so our output would live in /a/1/s/bin/myassembly.dll</p>
<p>You don't actually have to use any of the folders that the build agent provides variables for at all if you don't want to. If you wanted to send your build output to a directory called output you could do something like the following (some code omitted for brevity) <br /></p>
<p>This would send the output of our solution to /a/1/output .</p>
<p>Finally, a little of "the devil is in the details": if you find yourself needing to have different folders in your build directory, keep the folder names short and sweet. The folder names 'a', 'b', and 's' are done intentionally (probably for a number of reasons) but they help to reduce the chance of pathing errors. What I mean is that if your build agent is running on Windows, you can't have a file path longer than 259 characters. If the folder names were more descriptive (artifacts, binaries, source) those are additional characters that count against the total path. While this may seem like an edge case, one of the projects I maintain has this very problem because some developers decided to get overly descriptive in their class and folder naming structures.</p>
<h2>Azure devops working directory</h2>

<h3>Azure devops working directory</h3>
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Azure devops server 2019 rc2 - Кабринский Эдуард


<h1>Azure devops server 2019 rc2</h1>
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<h1> Adventures in DevOps </h1>
<h2>Saturday, March 30, 2019</h2>
<h3>Install Azure DevOps Server 2019 RC2</h3>
<p>This post explains how to install Azure DevOps on perm server 2019 with multi server configuration.Before perform the steps explain in this post, you need to have a windows domain to setup Azure DevOps server,configure the SQL server instance.You can find the prerequisites as follows. <br /> <br /><strong>Prerequisites:</strong> <br /><strong>Domain</strong> ? We are going to install Azure DevOps in multiple servers.Hence there should be a Active directory domain which join the servers.Refer : https://docs.microsoft.com/en-us/azure/ ... -directory <br /><strong>Hardware</strong> ? Your requirements may be varies according to your team performances.Some times you might have requirements to run multiple SQL instances .Due to this type of requirements you need to select best hardware options for servers. Refer: https://docs.microsoft.com/en-us/azure/ ... mendations <br /><strong>Operating System</strong> ? When you create a server machine,you need to know the compatible OS with Azure DevOps on perm version 2019. Refer : https://docs.microsoft.com/en-us/azure/ ... ng-systems <br /><strong>Service Account</strong> ? You must use service accounts when install Azure DevOps Server.You can learn more about services from here. https://docs.microsoft.com/en-us/azure/ ... ure-devops <br /><strong>SQL server</strong> - When install Azure DevOps on perm server ,It is necessary to install a SQL server.You can find compatible SQL versions from here. https://docs.microsoft.com/en-us/azure/ ... sql-server</p>
<p>After complete the pre requisites, install Azure DevOps on perm server in application tier server machine as explain in the following steps. <br /><ul>
<li>Give the Installation location from the first window and click on install.</li>
</ul>
</p>
<h2>Azure devops server 2019 rc2</h2>

<h3>Azure devops server 2019 rc2</h3>
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<h4>Azure devops server 2019 rc2</h4>
Adventures in DevOps Saturday, March 30, 2019 Install Azure DevOps Server 2019 RC2 This post explains how to install Azure DevOps on perm server 2019 with multi server
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Azure devops python - Кабринский Эдуард


<h1>Azure devops python</h1>
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<h1>Azure devops python</h1>
<p>GitHub is home to over 50 million developers working together to host and review code, manage projects, and build software together.</p>
<h3>GitHub is where the world builds software</h3>
<p>Millions of developers and companies build, ship, and maintain their software on GitHub ? the largest and most advanced development platform in the world.</p>
<p>Use Git or checkout with SVN using the web URL.</p>
<p>Work fast with our official CLI. Learn more.</p>
<h4>Launching GitHub Desktop</h4>
<p>If nothing happens, download GitHub Desktop and try again.</p>
<h4>Launching GitHub Desktop</h4>
<p>If nothing happens, download GitHub Desktop and try again.</p>
<h4>Launching Xcode</h4>
<p>If nothing happens, download Xcode and try again.</p>
<h4>Launching Visual Studio</h4>
<h2>Latest commit</h2>
<h2>Git stats</h2>
<h2>Files</h2>
<p>Failed to load latest commit information.</p>
<h2>README.md</h2>
<p style="clear: both"><img src="https://github.com/microsoft/azure-devops-python-api/workflows/Python%20package/badge.svg" /> <img src="https://img.shields.io/pypi/pyversions/azure-devops.svg" /></p>
<p>Azure DevOps Python API</h1></p>
<p>This repository contains Python APIs for interacting with and managing Azure DevOps. These APIs power the Azure DevOps Extension for Azure CLI. To learn more about the Azure DevOps Extension for Azure CLI, visit the Microsoft/azure-devops-cli-extension repo.</p>
<p>To use the API, establish a connection using a personal access token and the URL to your Azure DevOps organization. Then get a client from the connection and make API calls.</p>
<p>This Python library provides a thin wrapper around the Azure DevOps REST APIs. See the Azure DevOps REST API reference for details on calling different APIs.</p>
<p>Learn how to call different APIs by viewing the samples in the Microsoft/azure-devops-python-samples repo.</p>
<h2>Azure devops python</h2>

<h3>Azure devops python</h3>
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<h4>Azure devops python</h4>
Azure DevOps Python API. Contribute to microsoft/azure-devops-python-api development by creating an account on GitHub.
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Python and devops - Kabrinskiy Eduard


<h1>Python and devops</h1>
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<h1>DevOps Tools - Python for DevOps Automation</h1>
<h2>What is Python Programming?</h2>
<p style="clear: both"><img style="float: left; margin: 0 10px 5px 0;" src="https://digitize01.com/image/image_lib/images/python.png" />Python is an interpreted, high-level, general-purpose programming language. Created by Guido van Rossum and first released in 1991, Python's design philosophy emphasizes code readability with its notable use of significant whitespace. Its language constructs and object-oriented approach aim to help programmers write clear, logical code for small and large-scale projects.</p>
<p>Python is dynamically typed and garbage-collected. It supports multiple programming paradigms, including procedural, object-oriented, and functional programming. Python is often described as a "batteries included" language due to its comprehensive standard library. <br /></p>
<h2>Why Python is so popular in Devops?</h2>
<p>Along with the growth of Python for developers in the machine learning and data science space, Python is also a growing language for devops / in the ops tooling side.</p>
<p>To understand why Python has been chosen you need to look at the environments and backgrounds of the people that have traditionally done ops works.</p>
<p>For many years *nix systems and their operators have had the mindset of automating their works flows, a good sysadmin is a lazy sysadmin. This has been supported through the ability to code in the shell, bash being the default on many systems for many years.</p>
<p>The ability to string together your shell commands into script files then run them time and time again was a very powerful thing. The difficulty was that trying to match what you get from modern languages is sometimes difficult and messy, so alternatives were sought. This is where Python stepped in. <br /></p>
<h3>Why Python?</h3>
<ul>
<li>Its ubiquity and the fact it has been used for many years by OS providers gave admins the same warm fuzzy feeling as bash: they knew that they could write their scripts locally and that it should work anywhere, saving the need for individual scripts for all the different systems.</li>
<li>Python is easy to read and learn. It?s also easy to copy, paste and run. Sometimes things just need to get done and Python allows you to jump into some complex things without the need to fully understand everything that?s happening. I?m not saying that?s a good thing, but if your site is down and the boss is screaming, sometimes the ability to just google, copy, paste and run, knowing you stand a good chance of achieving what you want, is just enough.</li>
<li>No need for object oriented programming. No structured coding required either. You can go straight into grabbing what you want and doing the work. Much like shell scripting (PyBites addition - related Pycon 2018 talk: Solve Your Problem With Sloppy Python).</li>
<li>Batteries are mostly included but if not, there is likely a module out there. If you need to poke at a network, no problem, try netaddr. Need to grab data from a website? Use BeautifulSoup. Make a simple dashboard/data visualization with Matplotlib or Bokeh. Python can do it all! <br /></li>
</ul>
<h3>Big tools, same language</h3>
<p>Beyond the day-to-day of ops work there are some big tools based on Python. Infrastructure management has Ansible and Saltstack, both written in Python. AWS's default command line tool is built in Python. Supervisor can be used to control services on systems. Or take pytest's testinfra which is specifically used for testing infrastructure deployments. Finally, we have openstack, the open source cloud platform. Many of the components and management of these tools use Python underneath!</p>
<p>The use of Python in many other areas, and the fact that devops is focused on breaking down silos and working across previously fixed boundaries, has also helped in increasing its use. If your data scientists and your ops guys are using it, the ability to talk and use code across disciplines is very useful. <br /></p>
<h3>Compared with other languages</h3>
<p>While Python is certainly a leading choice, there is still the case for Ruby, where tools like Chef and puppet are used. What both languages (as well as JS) can suffer from though is the need to install additional packages. I feel Python is a lot better as you can get most things done with the standard library. However external modules will often allow you to do things in an easier way, requests being the perfect example.</p>
<p>This difficulty has moved some developers into using Golang, which has many of the benefits of Python, but in addition can produce a deployable component fast and capable of running on anything. This is certainly another language to look out for. <br /></p>
<h2>Python and devops</h2>

<h3>Python and devops</h3>
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<h4>Python and devops</h4>
DevOps Tools - Python for DevOps Automation
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