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Boise : lean devops - Kabrinskiy Eduard

Сообщение TucsonKn » 12 май 2021, 22:36

Эдуард Кабринский - Azure 400 - Эдуард Кабринский


<h1>Azure 400</h1>
<p>[youtube]</p>
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<h1>Study material for exam AZ-400 Microsoft Azure DevOps Solutions (beta)</h1>
<h5>Problem</h5>
<p>There is a new Microsoft exam for Azure DevOps, exam AZ-400. In this tip we will cover some resources to help you prepare for this new Microsoft exam.</p>
<h5>Solution</h5>
<p>Below you will find helpful information for the AZ-400 exam.</p>
<h2>Who should take this exam?</h2>
<p>This exam is oriented to developers or IT members mainly. DevOps is oriented to integrate Development and Operations (IT operations). If you work with technology and software, DevOps will help you to increase the efficiency of operations.</p>
<h2>What is DevOps?</h2>
<p>We wrote an article before about this topic that may be useful to answer that question:</p>
<h2>Is the exam difficult?</h2>
<p>Yes, it covers a lot of topics and requires multiple skills. It is considered very difficult.</p>
<h2>Which books would you recommend for this exam?</h2>
<p>You can read the following books:</p>
<h2>Are there some courses for this exam?</h2>
<p>Yes, the following courses will be useful:</p>
<h2>Could you provide some links to study, for this exam?</h2>
<p>Yes. The following links will be useful:</p>
<h4>Design a DevOps Strategy</h4>
<ul>
<li>Recommend a migration and consolidation strategy for DevOps tools <ul>
<li>Azure Artifacts Documentation</li>
<li>Get started with NuGet packages in Azure DevOps Services and TFS</li>
<li>Azure Artifacts in Azure DevOps Services and Azure DevOps Server</li>
<li>Getting started with Azure DevOps - BRK2213</li>
<li>DevOps Training Workshop</li>
<li>Azure DevOps Server Documentation</li>
</ul>
</li>
<li>Design and implement an Agile work management approach <ul>
<li>Work in Progress limits</li>
<li>Azure Boards Documentation</li>
<li>What is Azure Boards?</li>
<li>Key concepts and terms used for Azure Boards</li>
<li>Connect Azure Boards to GitHub</li>
</ul>
</li>
<li>Design a quality strategy <ul>
<li>Exploratory & Manual Testing</li>
<li>Shift Left to Make Testing Fast and Reliable</li>
<li>Progressive Experimentation with Feature Flags</li>
<li>Managing technical debt with SonarQube and Azure DevOps</li>
<li>Managing Technical Debt with Azure DevOps and SonarCloud</li>
<li>What Team Structure is Right for DevOps to Flourish?</li>
<li>10 ways to build highly effective DevOps teams</li>
<li>Scaling Agile - Practices that scale</li>
<li>Automated and Manual Testing with Azure Test Plan</li>
<li>Developing a Testing Strategy for DevOps Success</li>
<li>Azure Test Plans</li>
</ul>
</li>
<li>Design a secure development process <ul>
<li>Tutorial: Create a CI/CD pipeline for your existing code by using Azure DevOps Projects</li>
<li>Monitoring and diagnostics</li>
<li>Simplify, speed, and improve cloud development</li>
<li>Learn how to add continuous security validation to your CI/CD pipeline</li>
<li>Build and Deployment Automation Case Study for World Wide Time Keeping: Higher Quality and Faster Delivery in an Increasingly Agile World</li>
<li>Building cloud apps using the Secure DevOps Kit for Azure</li>
</ul>
</li>
<li>Design a tool integration strategy <ul>
<li>Manage users and their access in Azure DevOps</li>
<li>Parallel jobs</li>
<li>Set up environments to run continuous test tasks with your build tasks.</li>
<li>Use all the DevOps services</li>
<li>License Azure Artifacts</li>
<li>Explore work items with the Test & Feedback extension</li>
<li>Which tools and clients connect to Azure DevOps Services and TFS?</li>
<li>Data protection overview</li>
<li>How we store your credentials for Azure DevOps Services</li>
<li>Go on-premises with Team Foundation Server</li>
<li>Deploy to Azure</li>
<li>Azure DevOps</li>
</ul>
</li>
</ul>
<h4>Implement DevOps Development Processes</h4>
<ul>
<li>Design a version control strategy <ul>
<li>Adopt a Git branching strategy</li>
<li>Use branches to isolate risk in Team Foundation Version Control</li>
<li>Branch folders and files</li>
<li>Learn about branching strategies for Team Foundation Version Control (TFVC) and how to select an effective strategy</li>
<li>View where and when changesets have been merged</li>
<li>View the branch hierarchy of a project</li>
<li>Associate a file type with a file-comparison tool</li>
</ul>
</li>
<li>Implement and integrate source control <ul>
<li>What is source control?</li>
<li>Azure Repos</li>
<li>Git Repositories</li>
</ul>
</li>
<li>Implement and manage build infrastructure <ul>
<li>Build and release agents</li>
<li>What are release pipelines?</li>
<li>Azure Pipelines</li>
<li>Parallel jobs</li>
<li>Build and release permissions and security roles</li>
<li>About security roles</li>
<li>Service Endpoints in Azure DevOps Services</li>
<li>Service hooks in Azure DevOps Services</li>
<li>Agent pools</li>
</ul>
</li>
<li>Implement code flow <ul>
<li>Review code with pull requests</li>
<li>Improve pull request descriptions using templates</li>
<li>Squash merge pull requests</li>
<li>Forks</li>
<li>Improve code quality with branch policies</li>
</ul>
</li>
<li>Implement a mobile DevOps strategy <ul>
<li>Manage App Center Distribution Groups</li>
<li>Using Azure DevOps (VSTS for UI Testing)</li>
<li>Development and test</li>
<li>View and update work items via the mobile browser</li>
</ul>
</li>
<li>Managing application configuration and secrets <ul>
<li>Data protection overview</li>
<li>How we store your credentials for Azure DevOps Services</li>
<li>About keys, secrets, and certificates</li>
<li>Deploy to Azure Kubernetes Service (AKS) using DevOps Projects – VSTS Sprint 134 Update</li>
<li>CI-CD for Azure Kubernetes Service AKS using Azure DevOps</li>
<li>CI/CD for Containers</li>
<li>Pipeline compliance and security validations - Sprint 141 Update</li>
</ul>
</li>
</ul>
<h4>Implement Continuous Integration</h4>
<ul>
<li>Manage code quality and security policies <ul>
<li>Continuous integration and deployment</li>
<li>Design a CI/CD pipeline using Azure DevOps</li>
<li>Review code coverage results</li>
<li>Publish Code Coverage Results task</li>
<li>Azure Test Plans</li>
<li>Deep dive into Azure Test Plans</li>
<li>Review test results</li>
<li>Analyze test results</li>
<li>Test Suites</li>
<li>Create test plans and test suites</li>
<li>Create manual test cases</li>
<li>Run manual tests</li>
<li>Use SonarQube with Azure DevOps or Team Foundation Server (TFS) for Java development</li>
<li>WhiteSource Bolt in Visual Studio subscriptions</li>
<li>Azure DevOps Projects</li>
</ul>
</li>
<li>Implement a container build strategy <ul>
<li>Build, test, and push Docker container apps in Azure Pipelines</li>
<li>Azure Container Registry Documentation</li>
</ul>
</li>
<li>Implement a build strategy <ul>
<li>Build pipeline triggers</li>
<li>Building and Deploying your Code with Azure Pipelines</li>
<li>Build and release agents</li>
<li>Use the visual designer</li>
<li>Use the Azure portal</li>
<li>How We Deliver Changes to Production</li>
</ul>
</li>
</ul>
<h4>Implement Continuous Delivery</h4>
<ul>
<li>Design a release strategy <ul>
<li>What are release pipelines?</li>
<li>Release deployment control using gates</li>
<li>Release approvals and gates overview</li>
<li>Build Quality Indicators Report</li>
<li>Azure DevOps Release Notes Generator</li>
<li>Release stages, queuing policies, and options</li>
</ul>
</li>
<li>Set up a release management workflow <ul>
<li>Release deployment control using gates</li>
<li>Run Functional Tests task</li>
<li>Run automated tests from test plans</li>
<li>What are release pipelines?</li>
<li>Release pipelines and release names</li>
<li>AKS (Azure Kubernetes Service) Security & Identity updates | Best of Microsoft Ignite 2018</li>
<li>Build and deploy microservices on Azure Service Fabric Mesh</li>
<li>Application Delivery & DevOps practices with Azure Service Fabric</li>
<li>Deploy a web app to Azure App Services</li>
<li>Define your multi-stage continuous deployment (CD) pipeline</li>
<li>Azure Key Vault task</li>
<li>Release stages, queuing policies, and options</li>
</ul>
</li>
<li>Implement an appropriate deployment pattern <ul>
<li>Blue-Green deployments using Azure Traffic Manager</li>
<li>Tutorial: Canary Deployment for Azure Virtual Machine Scale Sets</li>
<li>Explore how to progressively expose your Azure DevOps extension releases in production to validate, before impacting all users</li>
<li>Multiple jobs</li>
<li>Deployment groups</li>
<li>Deploying a multi-container application to Azure Kubernetes Services</li>
<li>Tutorial: Deploy an application with CI/CD to a Service Fabric cluster</li>
</ul>
</li>
</ul>
<h4>Implement Dependency Management</h4>
<ul>
<li>Design a dependency management strategy <ul>
<li>Deep dive into Azure Artifacts</li>
<li>Getting started with package management using Azure Artifacts</li>
<li>Collaborate more and build faster with packages</li>
<li>Check in your work to the team's codebase</li>
<li>Visual Studio Build task</li>
<li>Publish and then download a Universal Package</li>
</ul>
</li>
<li>Manage security and compliance <ul>
<li>A Quick Guide to GPLv3</li>
<li>Cloud-based tools for software development teams</li>
<li>Managing Open-source security and license with WhiteSource</li>
<li>Black Duck Hub</li>
<li>Black Duck Integrations for Microsoft Visual Studio</li>
<li>Secure and share packages using feed permissions</li>
</ul>
</li>
</ul>
<h4>Implement Application Infrastructure</h4>
<ul>
<li>Design an infrastructure and configuration management strategy <ul>
<li>Create, host, and share packages with your team</li>
<li>Find the DevOps product you need</li>
<li>Managing Technical Debt with Azure DevOps and SonarCloud</li>
<li>DevOps 101 – Accelerate your application delivery lifecycle</li>
<li>Innovate. Deploy. Monitor. Repeat.</li>
<li>Reduce Configuration Drift in Your Azure Infrastructure</li>
</ul>
</li>
<li>Implement Infrastructure as Code <ul>
<li>Using linked and nested templates when deploying Azure resources</li>
<li>Best Practices For Using Azure Resource Manager Templates</li>
<li>Azure Resource Manager overview</li>
<li>What is Infrastructure as Code?</li>
<li>DevOps on Azure – Configuration Management</li>
<li>Configuration Management</li>
</ul>
</li>
<li>Manage Azure Kubernetes Service infrastructure <ul>
<li>Tutorial: Using Azure DevOps to setup a CI/CD pipeline and deploy to Kubernetes</li>
<li>Deploy to Azure Kubernetes Service (AKS) using DevOps Projects – VSTS Sprint 134 Update</li>
<li>Deploying a multi-container application to Azure Kubernetes Services</li>
<li>Deploy to Azure Kubernetes Service (AKS) using Azure DevOps and Helm</li>
<li>Scaling Agile - Practices that scale</li>
</ul>
</li>
<li>Implement infrastructure compliance and security <ul>
<li>Microsoft Azure Security and Compliance</li>
<li>Secure DevOps Kit for Azure</li>
<li>Veracode Azure DevOps Extension</li>
<li>Configure servers to a desired state and manage drift</li>
<li>Azure Pipelines</li>
<li>Use InSpec for compliance automation of your Azure infrastructure</li>
</ul>
</li>
</ul>
<h4>Implement Continuous Feedback</h4>
<ul>
<li>Recommend and design system feedback mechanisms <ul>
<li>How to leverage the cloud to improve customer satisfaction</li>
<li>Example: How to detect sentiment in Text Analytics</li>
<li>Real-time Twitter sentiment analysis in Azure Stream Analytics</li>
<li>Provide feedback using the Test & Feedback extension</li>
<li>HokeyApp support</li>
<li>End-to-end monitoring solutions in Azure for Apps and Infrastructure</li>
<li>Add continuous monitoring to your release pipeline</li>
<li>What features and services do I get with Azure DevOps Services or TFS?</li>
<li>DevOps tool integrations</li>
</ul>
</li>
<li>Implement process for routing system feedback to development teams <ul>
<li>Crash Reports</li>
<li>Add, rename, and delete team dashboards in Azure DevOps</li>
<li>Zendesk with Azure DevOps Services</li>
<li>ServiceNow Integration with Azure DevOps (VSTS)</li>
<li>New Azure Pipelines announcements – VS Code extension, GitHub Releases, and more</li>
<li>Application Insights: Work item integration with Visual Studio Team Services</li>
</ul>
</li>
<li>Optimize feedback mechanisms <ul>
<li>Request stakeholder feedback using the Test & Feedback extension</li>
<li>Get feedback</li>
<li>Provide feedback using the Test & Feedback extension</li>
<li>Give feedback using Microsoft Feedback Client</li>
<li>Application Telemetry and Monitoring Basics</li>
</ul>
</li>
</ul>
<h5>Next Steps</h5>
<p>For more information about this exam, refer to these links:</p>
<p>Last Updated: 2019-02-11</p>
<p style="clear: both"><img src="https://www.mssqltips.com/images/Free-Download_20190509.png" /></p>
<p style="clear: both"><img src="https://www.mssqltips.com/images/nav_nexttip_clickhere_rev1.png" /></p>
<h5>About the author</h5>
<p style="clear: both"><img style="float: left; margin: 0 10px 5px 0;" src="https://www.mssqltips.com/images/DanielCalbimonte.jpg" /> Daniel Calbimonte is a Microsoft SQL Server MVP, Microsoft Certified Trainer and Microsoft Certified IT Professional.</p>
<h2>Azure 400</h2>

<h3>Azure 400</h3>
<p>[youtube]</p>
Azure 400 <a href="http://remmont.com">Current news stories</a> Azure 400
<h4>Azure 400</h4>
If you are preparing for Microsoft AZ-400 Exam Microsoft Azure DevOps Solutions take a look at these list of resources to get you prepared.
<h5>Azure 400</h5>
Azure 400 <a href="http://remmont.com">Azure 400</a> Azure 400
SOURCE: <h6>Azure 400</h6> <a href="https://dev-ops.engineer/">Azure 400</a> Azure 400
#tags#[replace: -,-Azure 400] Azure 400#tags#

Kabrinskiy Eduard
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Akron : schoolofdevops - Eduard Kabrinskiy

Сообщение TucsonKn » 19 май 2021, 10:15

Кабринский Эдуард - Safe devops - Kabrinskiy Eduard


<h1>Safe devops</h1>
<p>[youtube]</p>
Safe devops <a href="http://remmont.com">Live news</a> Safe devops
<h1>SAFe DevOps Certification</h1>
<h2>About the Course</h2>
<p>Course Duration: 2 days <br />Exam Fees Included</p>
<h2>Price From: ?725</h2>
<p> <b>Apply the DevOps role to bring alignment throughout a SAFe enterprise and</b> <b>put together high performing Agile teams</b> <b>.</b> </p>
<p>This two-day SAFe? DevOps course will provide a deep-dive into DevOps competencies needed to improve time-to-market through the use of the Continuous Delivery Pipeline.</p>
<p>You?ll understand the complete flow of value from Continuous Exploration to Continuous Integration, Continuous Deployment, and Release on Demand. The SAFe DevOps course also explores SAFe?s CALMR (Culture, Automation, Lean, Measure, Recover) approach to DevOps, which cultivates a culture of shared responsibility to improve time-to-market.</p>
<p>You will leave with the ability to execute an implantation plan for refining delivery pipelines.</p>
<p>This t wo -day tutor-led course includes lectures, exercises and practical work and is delivered by an accredited SAFe practitioner .</p>
<h3>Who is it for?</h3>
<p>This SAFeDevOps course has no prerequisites, however, it is suggested that candidates have at least six months? practical experience in a software project team. It is designed for:</p>
<p><ul>
<li>Developers, business analysts and testers working in an organisation adopting the Scaled Agile Framework seeking to elevate their knowledge of DevOps</li>
</ul>
<ul>
<li>Senior project personnel such as development managers, product managers and system architects wanting a solid grounding in DevOps within a SAFe environment.</li>
<li>All members of an Agile Release Train wanting to accredit their SAFe, Agile and DevOps skills for recognition among employers, clients and peers.</li>
</ul>
</p>
<h3>Related Studies</h3>
<ul>
<li>SAFe 5 Agilist Certification</li>
<li>SAFe 5 Practitioner Certification</li>
<li>SAFe Product Owner/Manager Certification</li>
</ul>
<h3>Included in the Course</h3>
<ul>
<li><strong>2 Full Days of Training:</strong> 2 days of classroom training with a certified industry professional.</li>
<li><strong>Course Workbook:</strong> 200+ page companion workbook.</li>
<li><strong>SAFe Certification Kit:</strong> SAFe Practitioner (SP) certificate, digital badge, one-year certified membership, access to SP Community of Practice and learning resources, and certification usage guide with SP certification marks.</li>
<li><strong>Professional Development Units & Scrum Education Units:</strong>May be eligible for PDUs toward Project Management Institute (PMI) certifications, and/or SEUs toward earning or renewing Certified Scrum Professional (CSP) certification through Scrum Alliance.</li>
<li><strong>Online Materials:</strong> Access to the online SAFe course materials. Includes access to the SAFe Community platform that contains resources such as practice exams, case studies and webinars.</li>
<li><strong>Exam Revision Assistance:</strong> Pass first time with our exam revision questions, live revision sessions and online tutorials.</li>
<li><strong>Exam:</strong> The exam is included free of charge</li>
</ul>
<h2>Entry Requirements</h2>
<p>There are no prerequisites this course.</p>
<h2>The Exam</h2>
<p>The examination consists of a closed book, web-based multiple choice exam. Candidates have 90 minutes (1.5 hours) to complete 45 questions, with a score of 34 (76%) required to pass.</p>
<h2>Safe devops</h2>

<h3>Safe devops</h3>
<p>[youtube]</p>
Safe devops <a href="http://remmont.com">National news stories</a> Safe devops
<h4>Safe devops</h4>
This two-day SAFe? DevOps course will provide a deep-dive into DevOps competencies needed to improve time-to-market
<h5>Safe devops</h5>
Safe devops <a href="http://remmont.com">Safe devops</a> Safe devops
SOURCE: <h6>Safe devops</h6> <a href="https://dev-ops.engineer/">Safe devops</a> Safe devops
#tags#[replace: -,-Safe devops] Safe devops#tags#

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Stamford : ms azure devops - Eduard Kabrinskiy

Сообщение TucsonKn » 19 май 2021, 10:20

Eduard Kabrinskiy - Azure devops tag build - Kabrinskiy Eduard


<h1>Azure devops tag build</h1>
<p>[youtube]</p>
Azure devops tag build <a href="http://remmont.com">Top headlines</a> Azure devops tag build
<h1>Artifacts Tagger</h1>
<h2>Dmitry Serbin</h2>
<h1>Artifacts Tagger</h1>
<h2>Overview</h2>
<p>The <strong>Artifacts Tagger</strong> extension adds a task to Azure DevOps to tag deployed <strong>master</strong> build artifact from a release pipeline.</p>
<p> <table> <thead> <tr> <th style="text-align:left;">Extension</th> <th style="text-align:left;">Build</th> <th style="text-align:left;">Code</th> </tr> </th> <tbody> <tr> <td style="text-align:left;"><img src="https://vsmarketplacebadge.apphb.com/version/dmitryserbin.artifacts-tagger.svg" /></td> </tr> </tbody> </table> </p>
<h2>Features</h2>
<p>The <strong>Artifacts Tagger</strong> task adds various default or custom tags to deployed with release pipeline master build artifact.</p>
<p>It uses either <strong>integrated</strong> (SystemVssConnection) or <strong>user-defined</strong> personal access token (PAT) Azure DevOps service endpoint to connect to projects' pipelines.</p>
<p><ul>
<li>Add current stage name tag</li>
<li>Add current release name tag</li>
<li>Add user-defined tags</li>
<li>Remove duplicated tags</li>
</ul>
</p>
<h2>Prerequisites</h2>
<p>For the task to work your release pipeline need to have a service endpoint with specific access to target project' pipelines to be able to update build tags.</p>
<p>There are two types of Azure DevOps <strong>service endoints</strong> supported:</p>
<p> <table> <thead> <tr> <th>Type</th> <th>Name</th> <th>Account</th> </tr> </th> <tbody> <tr> <td>integrated</td> <td>SystemVssConnection</td> <td>Project Collection Build Service</td> </tr> <tr> <td>specific</td> <td>User specified</td> <td>User specified</td> </tr> </tbody> </table> </p>
<p>You may need to check and update build pipelines security section of Azure DevOps project allow the following access to user account of the service endpoint:</p>
<p><ul>
<li>View builds</li>
<li>View build definition</li>
<li>Update build information</li>
</ul>
</p>
<p>Please refer to Azure DevOps permissions and security roles documentation for more details.</p>
<h2>How To Use</h2>
<ol>
<li>Add <strong>Artifacts Tagger</strong> task to your release pipeline</li>
<li>Select 'Integrated Endpoint' or 'Service Endpoint' endpoint type</li>
<li>Select default or specify custom tags to add to master build artifact</li>
</ol>
<blockquote><p>You may need to create a new Azure Pipelines service connection using PAT token.</p></blockquote>
<h2>Support</h2>
<p>For aditional information and support please refer to project repository. To enable debug mode to help troubleshooting issues, please configure DEBUG=artifacts-tagger:* custom release variable.</p>
<p>For help with Azure DevOps and release pipelines please refer to official documentation.</p>
<h2>Azure devops tag build</h2>

<h3>Azure devops tag build</h3>
<p>[youtube]</p>
Azure devops tag build <a href="http://remmont.com">Recent news headlines</a> Azure devops tag build
<h4>Azure devops tag build</h4>
Extension for Azure DevOps - Tag deployed Azure DevOps master build artifact from release pipeline
<h5>Azure devops tag build</h5>
Azure devops tag build <a href="http://remmont.com">Azure devops tag build</a> Azure devops tag build
SOURCE: <h6>Azure devops tag build</h6> <a href="https://dev-ops.engineer/">Azure devops tag build</a> Azure devops tag build
#tags#[replace: -,-Azure devops tag build] Azure devops tag build#tags#

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russian dating - REMMONT.COM

Сообщение TucsonKn » 19 май 2021, 11:14

Git lfs azure devops - Кабринский Эдуард


<h1>Git lfs azure devops</h1>
<p>[youtube]</p>
Git lfs azure devops <a href="http://remmont.com">Important news today</a> Git lfs azure devops
<h1>Getting started with Git LFS</h1>
<p>Managing large files efficiently with Git LFS</p>
<p>It happens with the best of intentions: your design team adds their large graphic files to your project repository - and you see it grow and grow until it's a multi-gigabyte clumpРІ??</p>
<p>Working with large binary files in Git can indeed be tricky. Every time a tiny change in a 100 MB Photoshop file is committed, your repository grows by another 100 MB. This quickly adds up and makes your repository almost unusable due to its enormous size.</p>
<p>But of course, <em>not</em> using version control for your design / concept / movie / audio / executables / work <em>cannot</em> be the solution. The general benefits of version control still apply and should be reaped in all kinds of projects.</p>
<p>Luckily, there's a Git extension that makes working with large files a lot more efficient: say hello to "Large File Storage" (or simply "LFS" if you prefer nicknames).</p>
<h2>Without LFS: Bloated repositories</h2>
<p>Before we look at how exactly LFS works its wonders, we'll take a closer look at the actual problem. Let's consider a simple website project as an example:</p>
<p style="clear: both"><img src="https://about.gitlab.com/images/blogimages/getting-started-with-git-lfs-tutorial/project-setup-without-big-files.png" /></p>
<p>Nothing special: some HTML, CSS, and JS files and a couple of small image assets. However, until now, we haven't included our design assets (Photoshop, Sketch, etc.). It makes a lot of sense to put your design assets under version control, too.</p>
<p style="clear: both"><img src="https://about.gitlab.com/images/blogimages/getting-started-with-git-lfs-tutorial/project-setup-with-big-files.png" /></p>
<p>However, here's the catch: each time our designer makes a change (no matter how small) to this new Photoshop file, she will commit another 100 MB to the repository. Very quickly, the repository will weigh tons of megabytes and soon gigabytes - which makes cloning and managing it very tedious.</p>
<p>Although I only talked about "design" files, this is really a problem with all "large" files: movies, audio recordings, datasets, etc.</p>
<h2>With LFS: Efficient large file handling</h2>
<p>Of course, LFS cannot simply "magic away" all that large data: it accrues with every change and has to be saved. However, it shifts that burden to the remote server - allowing the <em>local</em> repository to stay relatively lean!</p>
<p>To make this possible, LFS uses a simple trick: <strong>it does not keep all of a file's versions in the local repository</strong>. Instead, it provides only the files that are necessary in the checked out revision, on demand.</p>
<p>But this poses an interesting question: if those huge files themselves are <em>not</em> present in your local repositoryРІ?? what <em>is</em> present instead? LFS saves lightweight pointers in place of real file data. When you check out a revision with such a pointer, LFS simply looks up the original file (possibly on the server if it's not in its own, special cache) and downloads it for you.</p>
<p>Thereby, you end up with only the files you really want - not a whole bunch of superfluous data that you might never need.</p>
<h2>Installing LFS</h2>
<p>LFS is not (yet) part of the core Git binary, but it's available as an extension. This means that, before we can work with LFS, we need to make sure it's installed.</p>
<h4>Server</h4>
<p>Not all code hosting services support LFS already. As a GitLab user, however, there's not much to worry about: if you're using GitLab.com or a halfway recent version of GitLab CE or EE, support for LFS is already baked in! Your administrator only need to enable the LFS option.</p>
<h4>Local machine</h4>
<p>Your local Git installation also needs to support LFS. If you're using Tower, a Git desktop client, you don't have to install anything: Tower supports the Git Large File System out of the box.</p>
<p>If you're using Git on the command line, there are different installation options available to you:</p>
<p><ul>
<li>Binary Packages: Up-to-date binary packages are available for Windows, Mac, Linux, and FreeBSD.</li>
<li>Linux: Packages for Debian and RPM are available from PackageCloud.</li>
<li>macOS: You can use Homebrew via "brew install git-lfs" or MacPorts via "port install git-lfs".</li>
<li>Windows: You can use the Chocolatey package manager via "choco install git-lfs".</li>
</ul>
</p>
<p>After your package manager has finished its work, you need to complete the installation with the "lfs install" command:</p>
<h2>Tracking files with LFS</h2>
<p>Without further instructions, LFS won't take care of your large file problems. We'll have to tell LFS explicitly which files it should handle!</p>
<p>So let's return to our "big Photoshop file" example. We can instruct LFS to take care of the "design.psd" file using the "lfs track" command:</p>
<p>At first glance, the command didn't seem to have much effect. However, you'll notice that a new file in the project's root folder has been created (or changed, if it already existed): .gitattributes collects all file patterns that we choose to track via LFS. Let's take a look at its contents:</p>
<p>Perfect! From now on, LFS will handle this file. We can now go ahead and add it to the repository in the way we're used to. Notice that any changes to .gitattributes also have to be committed to the repository, just like other modifications:</p>
<h2>Tracking file patterns</h2>
<p>Adding a specific, single file like this is all well and goodРІ?? but what if you want to track, for example, <em>every</em> .indd file in our project? Please relax: you don't have to add each file manually! LFS allows you to define file patterns, much like when ignoring files. The following command, for example, will instruct LFS to track all <em>InDesign</em> files - existing ones and future ones:</p>
<p>You could also tell LFS to track the contents of a whole directory:</p>
<h2>Getting an overview of tracked files</h2>
<p>At some point, you might want to know which files exactly are tracked by LFS at the moment. You could simply take a look at the .gitattributes file. However, these are not <em>actual</em> files, but only rules and therefore highly "theoretical": individual files might have slipped through, e.g. due to typos or overly restrictive rules.</p>
<p>To see a list of the <em>actual</em> files that you're currently tracking, simply use the git lfs ls-files command:</p>
<h2>Track as early as possible</h2>
<p>Remember that LFS does <em>not</em> change the laws of nature: things that were committed to the repository are there to stay. It's very hard (and dangerous) to change a project's commit history.</p>
<p>This means that you should tell LFS to track a file <em>before</em> it's committed to the repository.</p>
<p>Otherwise, it has become part of your project's history - including all of its megabytes and gigabytesРІ??</p>
<p>The ideal moment to configure which file patterns you want to track is right when initializing a repository (just like with ignoring files).</p>
<h2>Using LFS in a GUI</h2>
<p>Although LFS is not difficult to use, there are still commands to remember and things to mess up. If you want to be more productive with Git (and LFS), have a look at Tower, a Git desktop client for Mac and Windows. Since Tower comes with built-in support for Git LFS, there is nothing to install. The app has been around for several years and is trusted by over 80,000 users all over the world.</p>
<p style="clear: both"><img src="https://about.gitlab.com/images/blogimages/getting-started-with-git-lfs-tutorial/tower-lfs.gif" /></p>
<p>Additionally, Tower provides a direct integration with GitLab! After connecting your GitLab account in Tower, you can clone and create repositories with just a single click.</p>
<h2>Working with Git</h2>
<p>A great aspect of LFS is that you can maintain your normal Git workflow: staging, committing, pushing, pulling and everything else works just like before. Apart from the commands we've discussed, there's nothing to watch out for.</p>
<p>LFS will provide the files you need, <em>when</em> you need them.</p>
<p>In case you're looking for more information about LFS, have a look at this free online book. For general insights about Git, take a look at the Git Tips & Tricks blog post and Tower's video series.</p>
<h2>About Guest Author</h2>
<p>This is a guest post written by Tobias GР“?nther, who is part of the team behind the Tower Git client.</p>
<h2>Git lfs azure devops</h2>

<h3>Git lfs azure devops</h3>
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<h4>Git lfs azure devops</h4>
Managing large files efficiently with Git LFS
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Сообщение TucsonKn » 19 май 2021, 14:49

Udacity devops - Кабринский Эдуард


<h1>Udacity devops</h1>
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<h1>Udacity devops</h1>

<p style="clear: both"><img src="https://1onjea25cyhx3uvxgs4vu325-wpengine.netdna-ssl.com/wp-content/uploads/2019/04/Alper-LinkedIn.jpeg" /></p>
<p>Last Updated on August 25, 2020</p>
<p style="clear: both"> <img src="https://1onjea25cyhx3uvxgs4vu325-wpengine.netdna-ssl.com/wp-content/uploads/2020/08/DevOps-with-Microsoft-Azure.jpg" /></p>
<p>In June, Udacity announced our partnership with Microsoft to create brand new training programs to help professionals learn highly coveted skills. Udacity is excited to introduce the newest product of that collaboration with Microsoft: the DevOps Engineer for Microsoft Azure Nanodegree program. This program focuses on teaching principles for deploying and managing cloud infrastructure with Microsoft Azure.</p>
<p>With 95% of Fortune 500 companies using Azure and Azure-related jobs expected to grow by over 34% in the next 10 years, now is a great time to hone your DevOps skills with Microsoft?s platform. What?s more, Cloud DevOps Engineers with skills in Azure earn an average salary of over $99,000 a year according to Glassdoor. Cloud DevOps engineers in San Francisco make an average of $130,000 a year, with top earners bringing in over $166,000.</p>
<p>By completing the DevOps Engineer for Microsoft Azure Nanodegree program, you?ll be prepared for Microsoft?s AZ-400 DevOps Engineer Expert certification exam, thereby demonstrating to employers that you have the skills they need.</p>
<h2><strong>What is Cloud DevOps?</strong></h2>
<p>Cloud DevOps Engineers are the key link between development and deployment, leveraging agile methodologies to ensure efficient and reliable release cycles. This means working on deployment, integrations, services, and testing. DevOps Engineers are an essential part of getting code written by developers verified and released to customers. Often, DevOps Engineers are responsible for the reliability, scalability, and security of a company?s systems. While the work is not simple, it is extremely rewarding for those who enjoy tinkering and problem-solving.</p>
<h2><strong>Program Details</strong></h2>
<p>The DevOps Engineer for Microsoft Azure Nanodegree program will teach students to deploy cloud infrastructure, use Continuous Integration and Continuous Delivery (CI/CD) for cloud infrastructure management, and create test environments to run automated testing. All of this learning will be done in a Microsoft Azure environment, using Azure pipelines and Azure App services.</p>
<p>To get the most out of this course, it?s important for students to have at least one year of experience working with Python. Enrollees must have a solid understanding of foundational coding concepts, including loops, conditionals, data types, functions, classes, and objects, and have a fundamental knowledge of scripting and Linux shell commands.</p>
<p>Additionally, students should understand cloud computing, including core cloud components (like databases, virtual machines, etc). If you need a primer on cloud computing, Udacity?s free Intro to Cloud Computing course is a great place to start.</p>
<p>In as little as three months, students who enroll in the DevOps Engineer for Microsoft Azure Nanodegree program will thoroughly understand DevOps fundamentals, Azure Infrastructure, cloud computing security, Infrastructure as Code (IaC), Agile project management methodologies in relation to CI/CD, and automated testing focused on performance, UI, function, and system integration.</p>
<h2><strong>Specific projects include:</strong></h2>
<h3>Project 1: Deploy a Web Application</h3>
<p>Students will use Terraform to deploy IaC and Packer to create reusable virtual machine images for deploying custom web applications. This project will help students become familiar with resource creation and management in Microsoft Azure using the portal and command-line interface (CLI), as well as solidify security best-practices in the Azure Security Center.</p>
<h3>Project 2: Build a Continuous Delivery Pipeline</h3>
<p>Deploy a Flask Machine Learning app by building a Continuous Delivery pipeline with Azure Pipelines and using Azure App Services to deploy Platform as a Service (PaaS). After this project, students will have experience leveraging Agile methodologies and tools, including Trello, to integrate Infrastructure-as-Code (IaC) with Continuous Delivery of application to Azure.</p>
<h3>Project 3: Run Automated Tests</h3>
<p>Learn to create disposable environments to run automated tests using Terraform and apply IaC concepts to make different environment tiers for more comprehensive testing. This project covers performance, function UI, and integration testing. Students will also monitor app behavior and perform root cause analysis by observing log files.</p>
<h2><strong>Learning from Top Cloud DevOps Engineers</strong></h2>
<p>To develop this program?s world-class curriculum, we collaborated with professionals from top-rated tech companies, like Microsoft. Each of these collaborators contributed guidance and feedback to focus the program on the most in-demand skills. Each of the instructors has extensive technical experience with Cloud DevOps and Microsoft Azure, as well as teaching experience.</p>
<h3><strong>Instructors</strong></h3>
<ul>
<li>Noah Gift, Founder of Pragmatic AI Labs, Consultant on AI, Cloud, Data Science</li>
<li>Nathan Anderson, DevOps Engineer at the Goodyear Tire & Rubber Company</li>
<li>Erick Galinkin, Principal AI Researcher at Rapid7 and Montreal AI Ethics Institute</li>
</ul>
<h2><strong>Enroll Today</strong></h2>
<p>If you?re an engineer who wants to learn more about deploying applications securely and efficiently, this is a great course for you to take to advance your career. This course is also great for people with programming backgrounds who are interested in the Cloud Computing field or gaining familiarity with Microsoft Azure.</p>
<p>With Udacity?s combination of hands-on project-centric learning, technical mentorship, and industry-aligned career services, there?s no better way to meet the demand than by registering today for the DevOps Engineer for Microsoft Azure Nanodegree program. Enroll now!</p>
<h2>Udacity devops</h2>

<h3>Udacity devops</h3>
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<h4>Udacity devops</h4>
Udacity?s latest collaboration with Microsoft focuses on teaching principles for deploying and managing cloud infrastructure with Microsoft Azure.
<h5>Udacity devops</h5>
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Сообщение TucsonKn » 19 май 2021, 18:24

Viktor farcic - Кабринский Эдуард


<h1>Viktor farcic</h1>
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<h1>The DevOps 2.1 Toolkit: Docker Swarm</h1>
<p>Free delivery worldwide</p>
<p>Available. Dispatched from the UK in 3 business days</p>
<p>Available. Expected delivery to Ukraine in 7-11 business days.</p>
<h2>Description</h2>
<p>Viktor Farcic's latest book, The DevOps 2.1 Toolkit: Docker Swarm, shows you how to successfully integrate Docker Swarm into your DevOps toolset.</p>
<p>About This Book</p>
<p>* Expand your DevOps Toolkit with the DevOps thought leader, Viktor Farcic <br />* Build, test, deploy, and monitor services inside Docker Swarm clusters <br />* Translate your understanding to different hosting providers like AWS, Azure, and DigitalOcean <br />* Go beyond simple deployment to explore how to create a continuous deployment process <br />* Extend the deep understanding you gained from Viktor's DevOps 2.0 Toolkit book</p>
<p>Who This Book Is For</p>
<p>This book is for professionals interested in the full microservices life cycle combined with continuous deployment and containers. Target audience could be architects who want to know how to design their systems around microservices. It could be DevOps wanting to know how to apply modern configuration management practices and continuously deploy applications packed in containers. It is for developers who would like to take the process back into their hands as well as for managers who would like to gain a better understanding of the process used to deliver software from the beginning to the end. This book is for everyone wanting to know more about the software development life cycle starting from requirements and design, through the development and testing all the way until deployment and post-deployment phases. We'll create the processes taking into account the best practices developed by and for some of the biggest companies.</p>
<p>What You Will Learn</p>
<p>* Learn all aspects of Docker Swarm from building, testing, deploying, and monitoring services inside Docker Swarm clusters, available since Docker 1.12. <br />* Master the deeper logic of DevOps with Viktor, so that you can successfully apply that logic across any specific set of tools you're working with. <br />* Translate a deep understanding to different hosting providers like AWS, Azure, DigitalOcean, among others. <br />* You'll go beyond simple deployment: you will explore with Viktor how to create a continuous deployment process. Accomplish zero-downtime deployments, and what to do in case of a failover. <br />* Know how to run services at scale, how to monitor the systems, and how to make it heal itself.</p>
<p>Viktor Farcic's latest book, The DevOps 2.1 Toolkit: Docker Swarm, takes you deeper into one of the major subjects of his international best seller, The DevOps 2.0 Toolkit, and shows you how to successfully integrate Docker Swarm into your DevOps toolset. <br />Viktor shares with you his expert knowledge in all aspects of building, testing, deploying, and monitoring services inside Docker Swarm clusters. You'll go through all the tools required for running a cluster. You'll travel through the whole process with clusters running locally on a laptop. Once you're confident with that outcome, Viktor shows you how to translate your experience to different hosting providers like AWS, Azure, and DigitalOcean. <br />Viktor has updated his DevOps 2.0 framework in this book to use the latest and greatest features and techniques introduced in Docker. We'll go through many practices and even more tools. While there will be a lot of theory, this is a hands-on book. You won't be able to complete it by reading it on the metro on your way to work. You'll have to read this book while in front of the computer and get your hands dirty.</p>
<p>Style and approach</p>
<p>We'll go through many practices and even more tools. While there will be a lot of theory, this is a hands-on book. You'll have to read this book while in front of the computer and get your hands dirty. The goal is not to master one particular set of tools, but to learn the logic behind them so that you can apply it to your job in various contexts. <br />show more </p>
<h2>Viktor farcic</h2>

<h3>Viktor farcic</h3>
<p>[youtube]</p>
Viktor farcic <a href="http://remmont.com">National news in english</a> Viktor farcic
<h4>Viktor farcic</h4>
The DevOps 2.1 Toolkit: Docker Swarm by Viktor Farcic, 9781787289703, available at Book Depository with free delivery worldwide.
<h5>Viktor farcic</h5>
Viktor farcic <a href="http://remmont.com">Viktor farcic</a> Viktor farcic
SOURCE: <h6>Viktor farcic</h6> <a href="https://dev-ops.engineer/">Viktor farcic</a> Viktor farcic
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Сообщение TucsonKn » 19 май 2021, 21:43

Checkmarx azure devops - Эдуард Кабринский


<h1>Checkmarx azure devops</h1>
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<h1><b>Checkmarx Simplifies Automation of Application Security Testing for Modern Development and DevOps Environments</b> </h1>
<p><i>New capabilities enable seamless implementation of AST automation from scanning to ticketing to improve ?flow? throughout DevOps pipelines</i> </p>
<p>SAN FRANCISCO--( BUSINESS WIRE )--<b>RSA Conference, Booth #1347</b>--Checkmarx, the global leader in software security solutions for DevOps, today announced new enhancements to its market-leading Software Security Platform to empower more seamless implementation and automation of application security testing (AST) in modern development and DevOps environments.</p>
<p>Available now, Checkmarx ?Flow? (CxFlow) is an orchestration module for the Checkmarx Software Security Platform that tightly integrates with application release orchestration and agile planning tools. This results in improved operational ?flow? of secure software development and the delivery of more actionable vulnerability findings. CxFlow also drives faster adoption by reducing friction between development, DevOps, and DevSecOps, and enabling automated scanning earlier in the code management process by integrating directly into source control management systems or CI/CD tools. Notably, CxFlow is the only solution from an AST provider that offers end-to-end automation from scanning to ticketing.</p>
<p>According to Gartner, ?security and risk management tasked with ensuring application and data security should integrate security and compliance testing seamlessly into DevSecOps, so developers never have to leave their continuous integration or continuous deployment toolchain environments.? 1</p>
<p>With CxFlow, Checkmarx further advances the automation capabilities of its Software Security Platform, enabling organizations to improve the security of their software without interrupting developer workflows. Additional CxFlow highlights include:</p>
<p><ul>
<li><b>End-to-end automation from scanning to ticketing</b>: Leveraging Checkmarx?s unique ability to scan uncompiled code, CxFlow automates the steps required to bring an application into an organization's AST framework. This eliminates the need for time-consuming manual configuration and allows users to publish and update findings based on policy to a defect/backlog management system for application teams to track.</li>
<li><b>Seamless integration with the modern development ecosystem</b>: CxFlow effortlessly integrates with application release orchestration and agile planning tools such as GitHub, GitLab, BitBucket, Azure DevOps, and Jira, enabling fully automated scanning of applications and the delivery of consumable results within the DevOps environment.</li>
<li><b>Centralized management</b>: CxFlow offers a single location for the configuration and orchestration between the development tool set and the Checkmarx Software Security Platform to drive AST automation. With this, organizations can instantly onboard their development, security, and operations teams and simplify the governance of their security policies and DevSecOps processes.</li>
</ul>
</p>
<p>?The main goal of any application security testing program is to reduce enterprise risk without hindering software release cycles, which is best achieved through thoughtful planning and implementation of security testing automation. However, this often remains an obstacle for today?s organizations,? said Nir Livni, VP of Products, Checkmarx. ?With CxFlow, Checkmarx addresses these automation challenges with a best-in-class solution and methodology that supports the ?you code it, you own it? philosophy. This allows organizations to detect and remediate software vulnerabilities within fast-paced development environments.?</p>
<p><b>Availability <br /></b>CxFlow has been implemented successfully with select Checkmarx customers and is generally available today.</p>
<p>Checkmarx will demonstrate CxFlow and the latest capabilities of its Software Security Platform during RSA Conference in San Francisco. Learn more here and find us at booth #1347.</p>
<p>For more information and to schedule a demo, contact us.</p>
<p> <i>1 Gartner ?12 Things to Get Right for Successful DevSecOps,? Neil MacDonald, Dale Gardner, 19 December 2019</i> </p>
<h2>Checkmarx azure devops</h2>

<h3>Checkmarx azure devops</h3>
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Checkmarx azure devops <a href="http://remmont.com">Top stories</a> Checkmarx azure devops
<h4>Checkmarx azure devops</h4>
RSA Conference, Booth #1347--Checkmarx, the global leader in software security solutions for DevOps, today announced new enhancements to its market-le
<h5>Checkmarx azure devops</h5>
Checkmarx azure devops <a href="http://remmont.com">Checkmarx azure devops</a> Checkmarx azure devops
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Сообщение TucsonKn » 20 май 2021, 00:39

Nomad devops - Kabrinskiy Eduard


<h1>Nomad devops</h1>
<p>[youtube]</p>
Nomad devops <a href="http://remmont.com">Current news update</a> Nomad devops
<h1>Nomad ? an alternative to Kubernetes, Docker Swarm & co.</h1>
<h4>Ben VAN STAVEREN</h4>
<h4>Aug 15, 2018 В· 2 min read</h4>
<p>Most of us in devops land have sooner or later decided we needed a cluster of machines, easily managed, and on-premises. Sure, there are plenty of cloud offerings out there, but sometimes going to AWS/GCE is overkill, or can?t be shoehorned into ?Working How We Want It To?(tm).</p>
<p>This same event happened for us; we looked at Kubernetes, and found that while it works, it?s a tremendous pain in the behind to set up properly on bare metal. Sure, there are a lot of tools out there that make it easier, but they don?t Do What We Want.</p>
<p>Th e next candidate was Docker Swarm ? in the latest Docker versions this comes integrated into the core Docker binary, so it seemed like a logical progression from our current ?loose? Docker container setup.</p>
<p>Unfortunately, this didn?t work out either. We run a mix of web apps, microservices, batch jobs, and ?random? bits and pieces, and for high-availability reasons we have only a few ?real? ingress points. Docker Swarm has it?s own routing mesh, so that quickly became an exercise in how to convince certain containers to live on certain hosts so our service observer could write out nginx configurations to match the running services.</p>
<p>Let?s skip past how needing to use host-mode port binding on hostname constrained services did work, because it?s ugly as sin.</p>
<p>The next candidate that came up was Nomad by HashiCorp. We already use HashiCorp?s awesome Vault software to manage secrets and our internal PKI, and figured that if we also spin up a Consul cluster (which we did need for better/easier service discovery) we might as well go whole hog and use Nomad as well.</p>
<p>Nomad is a little different from both Kubernetes and Docker Swarm in the sense it can also execute ?regular? binaries as tasks, which works great for some of our ?random stuff? jobs that we do want to run in a distributed-ish fashion. It also integrates hilariously well with Vault and Consul, to the point that Nomad now generates the configuration for a web service that contains DB and LDAP credentials read from Vault, and via the awesome consul-template tool we generate frontend nginx configurations. The nginx setup does not actually run in a container, but just on our frontend hosts. Courtesy of a little VPN magic, we now have an easily manageable cluster, with full secret support, and service discovery to boot.</p>
<p>It does look and act different than Docker Swarm and Kubernetes, but if you?re at that stage where you?re not entirely happy with how they work, take a look at Nomad.</p>
<p>Just as a side note: Traefik and Fabio both work with Nomad via Consul discovery, we?re just using nginx because we require a few more options that Traefik and Fabio don?t have (yet? Basic Auth via LDAP?).</p>
<h2>Nomad devops</h2>

<h3>Nomad devops</h3>
<p>[youtube]</p>
Nomad devops <a href="http://remmont.com">News update</a> Nomad devops
<h4>Nomad devops</h4>
Most of us in devops land have sooner or later decided we needed a cluster of machines, easily managed, and on-premises. Sure, there are plenty of cloud offerings out there, but sometimes going to?
<h5>Nomad devops</h5>
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Сообщение TucsonKn » 20 май 2021, 04:54

Azure devops token - Eduard Kabrinskiy


<h1>Azure devops token</h1>
<p>[youtube]</p>
Azure devops token <a href="http://remmont.com">News update today</a> Azure devops token
<h1>Using the system OAuth token in Azure DevOps</h1>
<p>One of the new YAML pipeline steps I prepared recently involved interaction with work items. I wanted to add the comments to the task (with the task ID extracted from some file). So, I created a PowerShell step that was executing Invoke-WebRequest (with try/catch logic, obviously), the process finished successfully, but nothing happened. I mean ? the comments were not there. Uhmmmm, why?! <br /> <br />The log analysis gave me a slight hint about what was wrong (as seen in the post header picture):</p>
<p>The problem began because I wanted to adjust the code from the other pipeline that would fit my needs, but it didn?t want to work in my project. I googled for the answers, fiddled with tokens, authorization headers, setting pipeline options and variables ? nothing helped. I got even more errors and problems. I had to take one step back to go two steps forward.</p>
<p>To better understand the problem I created a two brand new separate Azure DevOps projects and built two pipelines: one using the classic interface, the second using YAML. Also, I made the testing easier and I just read all the comments.</p>
<p>Why two projects? To test how it works when I call to the task in the same project and the task outside the project. The initial problem I wanted to solve was running the build pipeline in project X and add the comments to the task in the project Y. But if I wanted to understand the mechanics from the ground up and find the solution I had to begin with smaller steps.</p>
<h2>So, build me a classic pipeline!</h2>
<p>My setup is just one PowerShell script calling the task address using Invoke-WebRequest (or Invoke-RestMethod ). The script uses two parameters ? project name and task id, as I will test two cases and don?t want to prepare hardcoded values for both tests.</p>
<p>param( $project = 'CrossProjectTest01', $workitem = 26 ) $uri = "https://dev.azure.com/bartekr/$project/_apis/wit/workItems/$workitem/comments?api-version=6.0-preview.3" Write-Host "Uri $uri" Write-Host "AccessToken: $env:SYSTEM_ACCESSTOKEN" $result = Invoke-WebRequest ` -Uri $uri ` -Method GET ` -Headers @ < Authorization = "Bearer $env:SYSTEM_ACCESSTOKEN" >` -UseBasicParsing $result</p>
<p>The most important part of the code is -Headers @ < Authorization = "Bearer $env:SYSTEM_ACCESSTOKEN" >. It involves a special system OAuth token available during the job execution. We could use a PAT (Personal Access Token) with required privileges to do the same, but why create one if we have already one at hand? Also pay attention that there is a <strong>Bearer</strong> keyword, not a Basic auth.</p>
<p>Using a default setup (create an empty classic pipeline, add steps) I get the output as described at the beginning of the post:</p>
<p style="clear: both">The access token has no value ? that explains why there is no access (203 code). To fix it ? edit the pipeline, go to ?<em>Run on agent</em>? job settings, scroll down and check the ?<em>Allow scripts to access the OAuth token</em>? option.<img style="float: left; margin: 0 10px 5px 0;" src="http://blog.bartekr.net/wp-content/uploads/2020/09/AzureDevOps_SystemAccessToken_ClassicPipeline.png" /> <br />Now the job will finish as expected ? the System.AccessToken is visible to the process.</p>
<p>This worked when the pipeline and the work item were in the same project. When I set the parameters for the PowerShell script to call the task from another project (CrossProjectTest02) I got the error ?<em>project with id (?) does not exist, or you do not have permission to access it</em>?:</p>
<p>It?s because I have ?<em>Limit job authorization scope to current project</em>? both for release and non-release pipelines set to ON (see: <em>Project settings > Pipelines > Settings</em>)</p>
<p style="clear: both"><img style="float: left; margin: 0 10px 5px 0;" src="http://blog.bartekr.net/wp-content/uploads/2020/09/AzureDevOps_PipelineSettings.png" /> <br />After setting the ?<em>Limit job authorization scope to current project for non-release pipelines</em>? to OFF (in CrossProject01, as there is my pipeline) everything works. It?s enough for me to set off for non-release because I?m working on the build pipeline.</p>
<h2>Azure devops token</h2>

<h3>Azure devops token</h3>
<p>[youtube]</p>
Azure devops token <a href="http://remmont.com">Top news stories of the day</a> Azure devops token
<h4>Azure devops token</h4>
Using the system OAuth token in Azure DevOps One of the new YAML pipeline steps I prepared recently involved interaction with work items. I wanted to add the comments to the task (with the task
<h5>Azure devops token</h5>
Azure devops token <a href="http://remmont.com">Azure devops token</a> Azure devops token
SOURCE: <h6>Azure devops token</h6> <a href="https://dev-ops.engineer/">Azure devops token</a> Azure devops token
#tags#[replace: -,-Azure devops token] Azure devops token#tags#
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Сообщение TucsonKn » 20 май 2021, 07:01

Azure devops recycle bin - Eduard Kabrinskiy


<h1>Azure devops recycle bin</h1>
<p>[youtube]</p>
Azure devops recycle bin <a href="http://remmont.com">Latest news live</a> Azure devops recycle bin
<h1>Azure Blob Storage? Recycle Bin.</h1>
<p>Remember all that red alerts when comes to deleting blobs? Ah, forget them! Microsoft Azure brought the Windows Recycle Bin to Azure and named it Soft delete.</p>
<p>The soft delete feature basically is similar to the Windows recycle bin. Deleting a file from the Windows explorer, the Operating System instead of actually removing the file it moves it to the recycle bin. The file stays there and it can be undeleted at any time. The soft delete feature in Microsoft Azure does the same thing for blob storage. When data is deleted or overwritten, the data is not actually gone. Instead, the data is soft deleted, thereby making it recoverable if necessary.</p>
<p>It?s not enabled by default, but it?s very easy to enable it. Go to the Storage Account, scroll down to the Blob Service and select ?Soft delete?. Select the Retention policy and Save, that?s all!</p>
<p style="clear: both"><img src="https://www.e-apostolidis.gr/wp-content/uploads/2018/05/img_5af0a7bff150a.png" /></p>
<p>Let?s delete and test. Browse a container and click the ?Show delete blobs?. The current blob will show as active.</p>
<p style="clear: both"><img src="https://www.e-apostolidis.gr/wp-content/uploads/2018/05/img_5af0aa531b9a9.png" /></p>
<p>deleting the blob it will change the status to ?deleted?</p>
<p style="clear: both"><img src="https://www.e-apostolidis.gr/wp-content/uploads/2018/05/img_5af0aab928d5a.png" /></p>
<p>Click the three little dots and you can undelete, the blob, in Azure.</p>
<p style="clear: both"><img src="https://www.e-apostolidis.gr/wp-content/uploads/2018/05/img_5af0ab41335b0.png" /></p>
<p style="clear: both"><img src="https://www.e-apostolidis.gr/wp-content/uploads/2018/05/img_5af0ab959e5a9.png" /></p>
<p>Be careful, if you delete the whole container, the storage account or the Azure Subscription there is no return. The Soft delete feature is at blob level inside a container.</p>
<h2>Azure devops recycle bin</h2>

<h3>Azure devops recycle bin</h3>
<p>[youtube]</p>
Azure devops recycle bin <a href="http://remmont.com">Current news in english</a> Azure devops recycle bin
<h4>Azure devops recycle bin</h4>
Microsoft Azure brought the Windows Recycle Bin to Azure and named it Soft delete. The soft delete feature basically is similar to the Windows recycle bin. Deleting a file from the Windows explorer, the Operating System instead of actually removing the file it moves it to the recycle bin.
<h5>Azure devops recycle bin</h5>
Azure devops recycle bin <a href="http://remmont.com">Azure devops recycle bin</a> Azure devops recycle bin
SOURCE: <h6>Azure devops recycle bin</h6> <a href="https://dev-ops.engineer/">Azure devops recycle bin</a> Azure devops recycle bin
#tags#[replace: -,-Azure devops recycle bin] Azure devops recycle bin#tags#
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