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<p>Connect to Visual Studio Team Services with Power BI <br /></p>
<p>Last updated : Nov 13, 2020.</p>
<h2>Overview</h2>
<p>You can gain insight and analyze the progress and quality of your project by connecting Power BI to the data collected and stored for Team Services.</p>
<p>Power BI is a suite of business analytics tools that deliver insights throughout your organization. Connect to hundreds of data sources, simplify data prep, and drive ad hoc analysis. Produce beautiful reports, then publish them for your organization to consume on the web and across mobile devices. Everyone can create personalized dashboards with a unique, 360-degree view of their business. And scale across the enterprise, with governance and security built-in.</p>
<h2>Prerequisites</h2>
<p>You should have Office365 account in order to integrate Visual Studio Team Services with Power BI</p>
<p>Visual Studio Team Services account. If you don’t have one, you can create from here</p>
<h2>Authorize Power BI to access your account data</h2>
<p>Your first step requires you to authorize Power BI to access your Team Services account. Choose between one of these two connection scenarios when connecting to Power BI:</p>
<p><strong>Scenario #1</strong>: You use the same Azure Active Directory (AAD) account to log in to Team Services and Power BI.</p>
<p><strong>Scenario #2</strong>: You use an MSA (Microsoft account/LiveID) to log in to Team Services or you use different AAD credentials to log into Team Services than you use to log into Power BI.</p>
<h2>Log in to Power BI</h2>
<p style="clear: both"><img src="https://azuredevopslabs.com/labs/vsts/powerbi/images/1.png" /></p>
<p>Click <strong>Sign In</strong> in the upper right corner to log in to Power BI.</p>
<p style="clear: both"><img src="https://azuredevopslabs.com/labs/vsts/powerbi/images/2.png" /></p>
<p>You can use either AAD or MSA account to log in.</p>
<h2>Managing Workspaces</h2>
<p>Workspaces in Power BI allows you to have isolated area to monitor your teams work. You can add, remove, edit and grant permissions either to edit or read the contents present in the workspace.</p>
<p>Go to <strong>Workspaces</strong> and click on <strong>Create app workspace</strong>.</p>
<p style="clear: both"><img src="https://azuredevopslabs.com/labs/vsts/powerbi/images/11.png" /></p>
<p>Give a name for the workspace and set the desired permissions. For this lab let’s keep it default and create one.</p>
<p style="clear: both"><img src="https://azuredevopslabs.com/labs/vsts/powerbi/images/12.png" /></p>
<p>A new workspace is created now.</p>
<p style="clear: both"><img src="https://azuredevopslabs.com/labs/vsts/powerbi/images/13.png" /></p>
<h2>Connect to services with content packs for Power BI</h2>
<p>You can connect to content packs for a number of services you use to run your business, such as Salesforce, Microsoft Dynamics, Visual Studio Team Services and Google Analytics. Power BI starts by using your credentials to connect to the service, and then creates a Power BI dashboard and a set of Power BI reports that automatically show your data and provide visual insights about your business.</p>
<p>Click <strong>Get Data</strong> on the left bottom corner to select .</p>
<p style="clear: both"><img src="https://azuredevopslabs.com/labs/vsts/powerbi/images/3.png" /></p>
<p>You can pull out the data either from one of the sources. Since we are integrating with VSTS, select <strong>Services</strong> and click on <strong>Get</strong>.</p>
<p style="clear: both"><img src="https://azuredevopslabs.com/labs/vsts/powerbi/images/4.png" /></p>
<p>Browse the content packs, or tap in the search box and type keywords:</p>
<p style="clear: both"><img src="https://azuredevopslabs.com/labs/vsts/powerbi/images/29.png" /></p>
<p>In the search box, type <strong>Visual Studio</strong> and click on <strong>Get it now</strong>.</p>
<p style="clear: both"><img src="https://azuredevopslabs.com/labs/vsts/powerbi/images/5.png" /></p>
<p>Enter <strong>YOUR ACCOUNT NAME</strong>, if your Team Services URl is <strong>YOURACCOUNTNAME.visualstudio.com</strong>. Also enter the Project name that you want to track and click on <strong>Next</strong></p>
<p style="clear: both"><img src="https://azuredevopslabs.com/labs/vsts/powerbi/images/6.png" /></p>
<p>A window would appear to allow the access to your VSTS account. Click <strong>Sign in</strong>.</p>
<p style="clear: both"><img src="https://azuredevopslabs.com/labs/vsts/powerbi/images/8.png" /></p>
<p>A window would pop up to allow the permission to read the data from the VSTS account. Click on <strong>Accept</strong>.</p>
<p style="clear: both"><img src="https://azuredevopslabs.com/labs/vsts/powerbi/images/9.png" /></p>
<p>Now the data is being imported and you will see the notification on the right corner top.</p>
<p style="clear: both"><img src="https://azuredevopslabs.com/labs/vsts/powerbi/images/7.png" /></p>
<p>Once the data is imported, you will see the dashboard with the data.</p>
<p style="clear: both"><img src="https://azuredevopslabs.com/labs/vsts/powerbi/images/10.png" /></p>
<h2>Reports in Power BI</h2>
<p>A Power BI report is a multi-perspective view into a dataset, with visualizations that represent different findings and insights from that dataset. A report can have a single visualization or pages full of visualizations. Depending on your job role, you may be someone who creates reports and/or you may be someone who consumes or uses reports.</p>
<p>Click on <strong>Reports</strong> and select <strong>Visual Studio Team Services</strong>. By default when the data is imported, a report would have generated automatically.</p>
<p style="clear: both"><img src="https://azuredevopslabs.com/labs/vsts/powerbi/images/14.png" /></p>
<p>The report along with the data is shown. Modify the report to show the desired data. To do so, click on <strong>Edit report</strong> on the top.</p>
<p style="clear: both"><img src="https://azuredevopslabs.com/labs/vsts/powerbi/images/15.png" /></p>
<p>Visualizations and additional data can be added from the filter sets and the visualizations table from the right side.</p>
<p style="clear: both"><img src="https://azuredevopslabs.com/labs/vsts/powerbi/images/16.png" /></p>
<p>Different reports can be obtained. Agile Status report, Sprint Status report, Git report etc.</p>
<p style="clear: both"><img src="https://azuredevopslabs.com/labs/vsts/powerbi/images/17.png" /></p>
<p style="clear: both"><img src="https://azuredevopslabs.com/labs/vsts/powerbi/images/18.png" /></p>
<p style="clear: both"><img src="https://azuredevopslabs.com/labs/vsts/powerbi/images/19.png" /></p>
<p>Add new pages to the report with the desired data. Click on + at the bottom of the report to add new and select the visualizations and data to appear in the page.</p>
<p style="clear: both"><img src="https://azuredevopslabs.com/labs/vsts/powerbi/images/20.png" /></p>
<h2>Q&A in Power BI</h2>
<p>Sometimes the fastest way to get an answer from your data, is to ask a question using natural language. For example, <strong>what were total sales last year?</strong> Use Q&A to explore your data using intuitive, natural language capabilities and receive answers in the form of charts and graphs. Q&A is different from a search engine – Q&A only provides results about the data in Power BI.</p>
<p>Asking the question is just the beginning. Have fun traveling through your data refining or expanding your question, uncovering trust-worthy new information, zeroing in on details and zooming out for a broader view. You’ll be delighted by the insights and discoveries you make.</p>
<p>The experience is truly interactive…and fast! Powered by an in-memory storage, response is almost instantaneous.</p>
<p>From your workspace, go to Dashboard and click on <strong>Ask a question about your data</strong></p>
<p style="clear: both"><img src="https://azuredevopslabs.com/labs/vsts/powerbi/images/21.png" /></p>
<p>Place your cursor in the question box. Even before you start typing, Q&A displays a new screen with suggestions to help you form your question.</p>
<p style="clear: both"><img src="https://azuredevopslabs.com/labs/vsts/powerbi/images/23.png" /></p>
<p>This list contains:</p>
<p>a. The questions used to create tiles that are already pinned to the dashboard, and</p>
<p>b. The name of tables in the underlying dataset(s).</p>
<p>You can always choose one of these questions as a starting point and continue to refine the question to find the specific answer you are looking for. Or, use a table name to help you word a new question.</p>
<p>Select from the dropdown or begin typing your own question.</p>
<p style="clear: both"><img src="https://azuredevopslabs.com/labs/vsts/powerbi/images/24.png" /></p>
<p>As you type a question, Power BI Q&A picks the best visualization to display your answer; and the visualization changes dynamically as you modify the question. Q&A also helps you formulate your question with auto-completion, by restating your question, and with other textual and visual aids.</p>
<p style="clear: both"><img src="https://azuredevopslabs.com/labs/vsts/powerbi/images/25.png" /></p>
<p>When you type a query, Power BI looks for an answer in any dataset that has a tile on that dashboard. If all the tiles are from datasetA, then your answer will come from datasetA. If there are tiles from datasetA and datasetB, then Q&A will search for the best answer from those 2 datasets.</p>
<p>When you’re happy with the result, pin the visualization to a dashboard by selecting the pin icon in the top right corner.</p>
<p style="clear: both"><img src="https://azuredevopslabs.com/labs/vsts/powerbi/images/26.png" /></p>
<p>You can pin this to an <strong>Existing dashboard</strong> or to a <strong>New dashboard</strong>. Select <strong>Existing dashboard.</strong></p>
<p style="clear: both"><img src="https://azuredevopslabs.com/labs/vsts/powerbi/images/27.png" /></p>
<p>Go back to dashboard, you should see the pinned item now.</p>
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Сообщение RichardsonKn » 13 май 2021, 00:13

Eduard Kabrinskiy - Devops approach - Kabrinskiy Eduard


<h1>Devops approach</h1>
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<h1>DevOps Methodology, Lifecycle and Best Practices explained What DevOps actually is? What are its core principles? How can this innovative approach be applied to existing development teams?</h1>
<p style="clear: both"><img src="https://www.ryadel.com/wp-content/uploads/2019/06/devops-software-development-lifecycle-toolchains-tool-735x380.png" /></p>
<p>Table of Contents</p>
<p><strong>DevOps</strong> is a software development methodology that combines <strong><em>software development</em></strong> (<em>Dev</em>) with <strong><em>information technology operations</em></strong> (<em>Ops</em>), blending these two worlds in the entire service lifecycle: from the initial product design, through the whole development process, and to production support.</p>
<p>In this post, after a brief introduction explaining what the whole DevOps concept is about, we’ll try to shed some light over the overall <strong>methodology</strong>, the consecutive stages defining its <strong>lifecycle</strong>, and the various <strong>best practices</strong> that this brand-new concept can bring to the existing companies and software development teams. If you want to further increase your knowledge, you can also try out one of the many DevOps Online Training courses available on the web nowadays.</p>
<h2>What DevOps actually is</h2>
<p>Although there is not a uniquely accepted definition for the term “DevOps”, there’s a general consensus on depicting it as <em>“a set of practices intended to reduce the time between committing a change to a system and the change being placed into normal production, while ensuring high quality”.</em> This definition, firstly given by Len Bass, Ingo Weber, and Liming Zhu, correctly frames the theoretical and academic aspects. However, in a more widespread context, the term is frequently used to define a brand-new paradigm to be used in the whole development cycle of an IT product, from the idea to the post-release phases.</p>
<h2>Main goal(s)</h2>
<p>The whole purpose of adopting a DevOps approach revolves around the following objectives:</p>
<p><ul>
<li><strong>Faster and Continuous Development</strong></li>
<li><strong>Faster and Reliable Quality Assurance</strong></li>
<li><strong>Faster and Secure Deployment</strong></li>
<li><strong>Faster and Predictable Time to Market</strong></li>
<li><strong>Faster and Frequent Releases</strong></li>
</ul>
</p>
<p>Most of these goals are achieved through the use of <strong><em>iterative patterns</em></strong> and <strong><em>continuous feedback</em> </strong>between end-users, customers, product owners, development, quality assurance, and production engineers.</p>
<p>As we can see, the “faster” achievements are easily the primary drivers here: however, for the most part the speed increase is obtained as the <strong><em>result</em></strong> of the best practices adopted to ensure the subsequent goal. To put it in other words, we could say that the speed factor is often the <em>most measurable benefit</em> that comes from switching to a DevOps way of (re)thinking the development process, following the golden principle that working <em>better</em> will also allow us to do our job <em>faster</em> in the long term.</p>
<h2>DevOps Toolchains</h2>
<p>As DevOps is intended to be a <em>cross-functional</em> mode of working, meaning that it assumes the use of multiple sets of tools rather than a single one. Each of these sets, often called <em>toolchains</em>, is expected to fit into one or more categories. Each category reflects one of the various key aspects (or “phases”) of the design, development and/or delivery processes.</p>
<p>Here’s a list of the most important toolchains, grouped into their respective subsequent categories:</p>
<p><ul>
<li><strong>Planning</strong>: task management, schedules.</li>
<li><strong>Coding</strong>: code development and review, source code management tools, code merging.</li>
<li><strong>Building</strong>: continuous integration tools, version control tools, build status.</li>
<li><strong>Testing</strong>: continuous testing tools that provide quick and timely feedback on business risks, performance measurement.</li>
<li><strong>Packaging</strong>: artifact repository, application pre-deployment staging.</li>
<li><strong>Releasing</strong>: change management, release approvals, release automation.</li>
<li><strong>Operating</strong>: infrastructure installation, configuration and management, infrastructure changes (scalability), infrastructure as code tools, capacity planning, capacity & resource management, security check, service deployment, high availability (HA), data recovery, log/backup management, database management.</li>
<li><strong>Monitoring</strong>: service performance monitoring, log monitoring, applications performance monitoring, end-user experience, incident management.</li>
</ul>
</p>
<p>It goes without saying that each toolchain consists of a set of valuable tools: for example, <strong><em>continuous integration</em></strong> could be addressed with the joint use of <em>Jenkins</em>, <em>Gitlab</em> and <em>Bitbucket pipelines</em>; <strong><em>infrastructure as code</em></strong> can be dealt with using <em>Terraform</em>, <em>Ansible</em>, and <em>Puppet</em>; and so on.</p>
<h2>The DevOps Lifecycle</h2>
<p>If we take the categories in which we splitted the toolchains into and line them together, we can determine the DevOps product lifecycle:</p>
<p><strong>Planning > Coding > Building > Testing > Packaging > Releasing > Operating > Monitoring</strong></p>
<p>Some diagrams use <strong>Configuring</strong> instead of <strong>Operating</strong>, others talks about <strong>Release</strong> and <strong>Deploy</strong> instead of <strong>Packaging</strong> and <strong>Releasing</strong>, others encompasses the <strong>Testing</strong> and <strong>Packaging</strong> phases into the <strong>Continuous Integration</strong> container concept (see below), and so on: however, let alone some minimal semantic differences, the overall story is all there.</p>
<p style="clear: both"><img style="float: left; margin: 0 10px 5px 0;" src="https://www.ryadel.com/wp-content/uploads/2019/06/devops-lifecycle-with-toolchains-tool-1024x655.jpg" /> One of the best DevOps lifecycle + toolchains chart, courtesy of quintagroup.com</p>
<p>As we can see, the DevOps phases are more accurate and specific of the typical product phases identified by most product development frameworks (such as <em>Scrum</em>, <em>Kanban</em> and so on): the <em>development</em> phase has been split between coding and building to emphasize the major differences between writing the code and consolidate it; the <em>deployment</em> phase is divided into <em>packaging</em>, <em>releasing</em> and <em>configuring</em>, enforcing the adoption of modern concepts such as reusable resources, shared inventories, risk prevention strategies and DRY approaches. The <em>testing</em> and <em>monitoring</em> phases are also playing a major role there, as we’ll be able to see in a short while.</p>
<p>If we would try to merge the various DevOps phases within a smaller set of “typical” tasks, we could shrink the lifecycle in the following way:</p>
<p><strong>Design > Development > Testing > Deployment > Monitoring</strong></p>
<p>Which is nothing but a more concise and general way of saying the same things.</p>
<h2>Best Practices</h2>
<p>Let’s now try to share some light upon the <em>best practices</em> that distinguish the DevOps methodology.</p>
<h3>Continuous Development</h3>
<p>The DevOps lifecycle considers the development phase a continuous streams of consecutive iterations with no halt: the entire development process is divided into smaller development sprints with frequent, rapid release cycles. The frequent iterations have the purpose of minimizing any opportunity for bottlenecks to form in the delivery pipeline: whenever a change is ready to move through the pipeline and the pipeline can receive it, it should be deployed as soon as possible.</p>
<h3>Behaviour-Driven Development</h3>
<p><em>Behavior-driven development</em> (BDD), to not be confusing with Test-driven development (TDD) which is an entirely different thing, is an approach where you specify and design an application by describing its behavior from the outside. This involves having high level discussions using specific, realistic examples. Stakeholders tell you how they expect the system to behave, so that you would be able to turn those expectations into acceptance criteria to drive out what you need to develop.</p>
<h3>Continuous Integration</h3>
<p><em>Continuous Integration</em> is a methodology that involves frequent integration of code into a shared repository: the integration may occur several times a day, verified by automated test cases and a build sequence. For some DevOps enthusiasts this concept encompasses the <strong>Testing</strong> and <strong>Packaging</strong> phases, to the point that is often used as a synonym/container for these two: we don’t follow such approach, as we rather consider CI a <em>development</em> practice which mostly takes place within the <strong>building</strong> phase: however, as we said earlier, it’s often more a semantic debate rather than a conceptual one.</p>
<h3>Highly-Efficient Testing</h3>
<p>It goes without saying that the only thing that can ensure that a change (i.e. a new development block) is ready to move through the pipeline is the <em>testing</em> phase, where a dedicated <em>toolchain</em> of testing tools – such as <em>Selenium</em>, <em>Junit</em>, and so on – should be used to remove the bugs while testing the developed software and to ensure there are no new and/or regression flaws: if you know the t<em>est-driven development</em> (TDD) principles, you would be happy to know that such approach can be definitely used in DevOps… as long as you are able to implement it in a way that it won’t hinder or consistently slow down your development cycles.</p>
<p>Unfortunately, f rom a DevOps perspective, testing manually means introducing avoidable delays into the pipeline. How can we avoid that? The most efficient solution is to use a toolchain</em> which provides<em> <strong>automated testing features</strong></em>, at least to some extents. Luckily enough, there are various tools that do just that: <em>Jarvis</em>, for example, is a JavaScript unit testing platform that can be configured to pull off a build attempt and a battery of automated tests each and every time a developer checks in their code into the version control system. Whenever the build or any tests fail, the whole teams receives a notification, thus becoming aware of the issue almost in real-time.</p>
<p>It’s worth noting that the automated testing approach can be applied to all code, not just application code: for example, all the infrastructure-related scripts required for installing new devices and/or deployment environments should be also treated as code, checked in, and tested automatically.</p>
<h3>Automated Deployment</h3>
<p>Manual deployment is often error-prone and slow: these two qualities are definitely against the whole DevOps approach. To minimize human errors, automated deployment is almost always the way to go. You want to be able to quickly and reliably back the change out if there are problems, so you’ll need to have a tested rollback plan for each change, whether that means reversing a change, or toggling a new feature off.</p>
<h3>Behaviour-Driven Development</h3>
<p>Another important approach of the DevOps best practices follows a <em>behavior-driven development</em> (BDD) instead, an approach where you specify and design an application by describing its behavior from the outside.</p>
<h3>Continuous Feedback</h3>
<p>Most, if not all of the DevOps goals are achieved thanks to a strong communication level which make extensive use of <strong><em>continuous feedback</em> </strong>between end-users, customers, product owners, development, quality assurance, and production engineers.</p>
<h2>Conclusion</h2>
<p>That’s it, at least for now: we hope that this post will be useful for those who want to know more about the DevOps methodology and find a way to properly implement it within their company or team.</p>
<h2>Devops approach</h2>

<h3>Devops approach</h3>
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What DevOps actually is? What are its core principles? How can this innovative approach be applied to existing development teams? Read the answers here.
<h5>Devops approach</h5>
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