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<h1>How to Create Azure DevOps Work Items in code</h1>
<p style="clear: both"><img src="https://miro.medium.com/fit/c/96/96/2*V3KGTaeHj0o3n3vW5LY8qw.jpeg" /></p>
<p style="clear: both"><img src="https://miro.medium.com/freeze/max/60/1*r6-_1UAeA4in9_FlmtQtaQ.gif" /></p>
<p>You’re here, so most likely you know that Azure DevOps includes a great platform for planning and managing software projects. And you also know that Azure DevOps is usually accessed via the Azure DevOps Portal. But do you know how to create a more streamlined process? In this post, we will explain how to automate the planning of work in Azure DevOps via the Azure DevOps API.</strong></p>
<p>Let us begin with a little background information: In a recent project, we needed to onboard a large number of tenants for a multi-tenant solution. Each tenant was required to supply a complex set of information about e.g. design and modules needed. Once the tenant had supplied this information, next step was to create a set of tasks (you know, work items</em>) in Azure DevOps, so that e.g. a designer could begin to implement the design specifications and a developer could begin to install and configure the requested modules.</p>
<p>“There must be a smarter way”, we thought. So, to streamline the process we created a custom onboarding flow as a web page. The design of the flow should be as easy and accessible as possible as well as include relevant explanations and validations. Once a tenant had completed the onboarding flow, we used the Azure DevOps API to automatically create the relevant work items.</p>
<p>This approach allowed us to onboard a large number of tenants in a very effective and consistent way; The onboarding flow and integration to Azure DevOps made sure that we had all information needed and that this information was available directly in the relevant work items in Azure DevOps.</p>
<p>“Fine”, you might think. “But how did you do it then?”. Well, we’ll tell you in a minute, but first, we have to elaborate on a few prerequisites, so we’re all aligned for what’s coming.</p>
<h2>Prerequisites for automating work items</h2>
<p>For the sake of simplicity of this post there are three prerequisites that need to be elaborated on. So, first things first: For the guide below, we have used a Personal Access Token (PAT) for authentication against Azure DevOps. You can create a PAT in Azure DevOps Portal under Security — and keep in mind, that any work item created with this PAT is tied to the user with whom the PAT is associated (hence personal…</em>).</p>
<p>The second prerequisite to elaborate on, is that we have used the Azure CLI with Azure DevOps extensions to access the Azure DevOps API via PowerShell, using the command:</p>
<p>We did this, because it is a great way to get a feel of the API and retrieve the information needed in order to create work items automatically.</p>
<p>The third and final prerequisite to elaborate on before we get our hands dirty, is that we have used the ID of the project in which we wished to create work items, although it is possible to create a work item using the project-name as well. If you are using Azure CLI, you can get a list of projects and IDs using:</p>
<h2>The different work item types</h2>
<p>Now, as a last thing before the actual guide, a quick remark on the work item. The work item is a central concept in Azure DevOps representing an object (like a piece of work) that can be categorized, ordered and tracked all the way from planning to execution. Some conceptually different examples from Azure DevOps are i.e. Product Backlog Items, Tasks, and Bugs that are simply different types of work items ordered hierarchically.</p>
<p>If you have completely different work item type? Despair not! Azure DevOps supports a number of different work item types which can be customized to suit your process framework and needs. In this guide, we will create a simple Product Backlog Item with no parent work item and then continue to create a nested Task and add an attachment.</p>
<p>To get a thorough understanding of what constitutes a work item, we recommend that you start out by looking at an existing work item of the same type as the one you wish to create, using:</p>
<p>This is basically the JSON structure we will create, although many of the system fields are automatically inserted by Azure DevOps.</p>
<p>Hopefully by now, we are perfectly aligned and ready to get to it. Without further ado, here follows a guide on how to create Azure DevOps work items programmatically.</p>
<h2>Connecting to Azure DevOps and create work items</h2>
<p>The first thing you need to do, before creating a new work item, is to connect to Azure DevOps. Here’s how to it:</p>
<p>Azure DevOps exposes a REST API that can be accessed via the different clients included in the Microsoft.TeamFoundationServer.Client</strong> NuGet package. If the name of the package seems confusing, remember, that Azure DevOps has gone through a number of name changes, and is currently a cloud-based version of the Team Foundation Server supporting the same API.</p>
<p>To access the Azure DevOps API (name aside), you need to create a connection first. Start by importing the following namespaces:</p>
<p>Then, create credentials and a connection using the PAT and the URL of your Azure DevOps instance – most likely https://dev.azure.com/[YOURORGANIZATION].</p>
<p>Finally, create a client from the connection. Microsoft.TeamFoundationServer.Client</strong> includes a number of different clients, but</strong> as we will be creating work items, we need a WorkItemTrackingHttpClient</strong>:</p>
<p>Now you are ready to create a new work item. As you can see from inspecting an existing work item using Azure CLI, a work item in Azure DevOps contains an ID, a revision number, a URL, a list of fields, and a list of relations. The ID, revision number, and URL are all controlled by Azure DevOps. As we will start out with creating a non-nested work item, we don’t need to worry about relations, so basically, we just have to construct a list of fields. Here’s how:</p>
<p>We need to supply a list of fields to the API. The list takes form of a JSON patch document represented by the JsonPatchDocument</strong> instance. As we will be including a number of add patch operations in the patch document, we start out by creating this extension method:</p>
<p>Now, we can add the fields we need to our patch document. The fields available depend on which work item type you are creating. The paths of the fields correspond to the paths found in the JSON version of the existing work item that is found using Azure CLI. In this case create a patch document and add the following fields:</p>
<p>Azure DevOps organizes work items in a nested structure of areas</em> (e.g. boards) and iterations</em> (e.g. sprints) depending on how you set up your project. You can create work items in a specific area and iteration using:</p>
<p>To get the correct structure of iterations and areas particular to your project, we suggest that you inspect existing work items using the Azure DevOps Portal or get the information via Azure CLI. You can get a list of available areas using:</p>
<p>And a list of iterations using:</p>
<p>For a simple Product Backlog Item the fields above suffice, and we now send our patch document to the API including the project ID and the name of the work item type we wish to create. Here’s an example:</p>
<p>As we wish to continue working with the newly created work item, however, we wait for the task to complete, and then return the result in the form of a WorkItem</strong> instance:</p>
<p>Congrats! You have now created a new work item and should be able to see it using the Azure DevOps portal in the area and iteration in which you placed it. You can also retrieve the ID from the WorkItem</strong> instance and output the work item using:</p>
<p>This allows you to get a better feel of how the work item is represented in Azure DevOps.</p>
<h2>Adding relations to create hierarchy</h2>
<p>Work items in Azure DevOps exist by themselves in a nested hierarchy independent of areas and iterations, where one work item can include a number of sub work items. This hierarchy is established by adding relations</em> to the JSON patch document. Let’s say that we want to add a new task of the work item type “Task” under the work item we created above (which we hence returned as a WorkItem instance called parentItem). We do this by creating a new patch document, add the appropriate fields, and include a relation to the parent work item:</p>
<p>Then we send the new work item to the API:</p>
<p>Again, if we wish to investigate the different relation types and their properties, we can use Azure CLI to output existing work items with relations and update our code accordingly. We can also get a list of all available relation types using:</p>
<h1>Adding attachments</h1>
<p>Other types of relations are file attachments, which are created using the AttachedFile</strong> relation type. To upload the file to Azure DevOps, we call our client using:</p>
<p>We can create a relation in our patch document using the attachmentReference returned from the API:</p>
<p>We now send the patch document to the API using the client and create a new task with the uploaded file attached.</p>
<h2>Vsts backlog</h2>

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<h4>Vsts backlog</h4>
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Кабринский Эдуард - Splunk in devops - Эдуард Кабринский


<h1>Splunk in devops</h1>
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<h1>What is Splunk? Beginners Tutorial</h1>
<h2>What is Splunk?</h2>
<p><strong>SPLUNK</strong> is a software platform widely used for monitoring, searching, analyzing and visualizing the machine-generated data in real time. It performs capturing, indexing, and correlating the real time data in a searchable container and produces graphs, alerts, dashboards and visualizations. <b>Splunk</b> provides easy to access data over the whole organization for easy diagnostics and solutions to various business problems.</p>
<h2>Why we need Splunk?</h2>
<p style="clear: both"><img src="https://www.guru99.com/images/1/031519_0642_WhatisSplun1.png" /> </p>
<p>Splunk offers plenty of benefits for an organization. Some of the benefits of using Splunk are: <ul>
<li>Offers enhanced GUI and real-time visibility in a dashboard</li>
<li>It reduces troubleshooting and resolving time by offering instant results.</li>
<li>It is a best-suited tool for root cause analysis.</li>
<li>Splunk allows you to generate graphs, alerts, and dashboards.</li>
<li>You can easily search and investigate specific results using Splunk.</li>
<li>It allows you to troubleshoot any condition of failure for improved performance.</li>
<li>Helps you to monitor any business metrics and make an informed decision.</li>
<li>Splunk allows you to incorporate Artificial Intelligence into your data strategy.</li>
<li>Allows you to gather useful Operational Intelligence from your machine data</li>
<li>Summarizing and collecting valuable information from different logs</li>
<li>Splunk allows you to accept any data type like .csv, json, log formats, etc.</li>
<li>Offers most powerful search analysis, and visualization capabilities to empower users of all types.</li>
<li>Allows you to create a central repository for searching Splunk data from various sources.</li>
</ul>
</p>
<h2>Features of Splunk</h2>
<p>Important features of Splunk are: <ul>
<li>Accelerate Development & Testing</li>
<li>Allows you to build Real-time Data Applications</li>
<li>Generate ROI faster</li>
<li>Agile statistics and reporting with Real-time architecture</li>
<li>Offers search, analysis and visualization capabilities to empower users of all types</li>
</ul>
</p>
<h2>Splunk Products</h2>
<p>Splunk is available in three different versions. <ul>
<li>Splunk Enterprise</li>
<li>Splunk Light</li>
<li>Splunk Cloud</li>
</ul>
</p>
<h3>Splunk Enterprise</h3>
<p>Splunk Enterprise edition is used by large IT business. It helps you to gather and analyze the data from applications, websites, applications, etc.</p>
<h3>Splunk Cloud</h3>
<p>Splunk Cloud is a hosted platform. It has the same features as the enterprise version. It can be availed from Splunk or using AWS cloud platform.</p>
<h3>Splunk Light</h3>
<p>Splunk Light is a free version. It allows search, report and alter your log data. It has limited functionalities and feature compared to other versions.</p>
<h2>Splunk Architecture</h2>
<p>Here, are fundamental components of Splunk architecture:</p>
<h3>Universal Forward (UF):</h3>
<p>Universal forward or UF is a lightweight component which pushes the data to the heavy Splunk forwarder. You can install Universal Forward at client side or application server. The job of this component is only to forward the log data.</p>
<h3>Load Balancer (LB):</h3>
<p>Load balancer is default Splunk load balancer. However, it also allows you to use your personalized load balancer.</p>
<h3>Heavy forward (HF):</h3>
<p>Heavy forward is a heavy component. This Splunk component allows you to filter the data. Example: collecting only error logs.</p>
<h3>Indexer (LB):</h3>
<p>Indexer helps you to store and index the data. It improves Splunk search performance. By default, Splunk automatically performs the indexing. For example, host, source, and date & time.</p>
<h3>Search head (SH):</h3>
<p>Search head is used to gain intelligence and perform reporting.</p>
<h3>Deployment Server(DS):</h3>
<p>Deployment server helps to deploy the configuration. For example, update the UF configuration file. We can use a deployment server to share between the component we can use the deployment server.</p>
<h3>License manager (LM):</h3>
<p>The license is based on volume & usage — for example, 50 GB per day. Splunk regular checks the licensing details.</p>
<h2>How Splunk Works?</h2>
<p style="clear: both"><img src="https://www.guru99.com/images/1/031519_0642_WhatisSplun3.png" /> </p>
<h3>Forwarder:</h3>
<p>Forwarder collect the data from remote machines then forwards data to the Index in real-time</p>
<h3>Indexer:</h3>
<p>Indexer process the incoming data in real-time. It also stores & Indexes the data on disk.</p>
<h3>Search Head:</h3>
<p>End users interact with Splunk through Search Head. It allows users to do search, analysis & Visualization.</p>
<h2>Applications of Splunk</h2>
<p>Problem Statement: Mac-Donald had no clear visibility into what offers work best. <ul>
<li>Offer type ( For example 20% off)</li>
<li>Cultural differences at a region level</li>
<li>Time of Purchase</li>
<li>Device used by the customer</li>
<li>Revenue generated per order</li>
</ul>
</p>
<p>They needed insight into consumer behaviors and customer response.</p>
<p>The entire process using three types of Data source <ol>
<li>Order placed in Mac Donald Outlet</li>
<li>Order placed in the Mobile Application</li>
<li>Order places using the Web Application</li>
</ol>
</p>
<p>Now the process carried from one step to other as mention in the below-given diagram.</p>
<p style="clear: both"><img src="https://www.guru99.com/images/1/031519_0642_WhatisSplun4.png" /> </p>
<h3>Input</h3>
<p>Input Data moves to Parsing stage,</p>
<h3>Parsing</h3>
<p>In Parsing Stage, relevant data is converted into events: <ul>
<li>Customer Region</li>
<li>Revenue per order</li>
<li>Time of Order (Morning, Afternoon, Evening, Night)</li>
<li>A device used by customers (Mobile, PC, Tablet)</li>
<li>Discount Coupons applied</li>
</ul>
</p>
<h3>Indexing stage</h3>
<p>In this stage, events are sorted and indexed for storage based on: <ul>
<li>Sales by Geographical location</li>
<li>Order Revenue</li>
<li>Time of order (Morning, Afternoon, Evening, Night)</li>
<li>Device use by the customer</li>
<li>Coupon offered applied</li>
</ul>
</p>
<h3>Search Head</h3>
<p>It is used to gain intelligence and perform reporting.</p>
<p>Mac- Donald used it to get the following information: <ul>
<li>Which sales offer works best in which geographical location?</li>
<li>How does customer behavior changes in order revenue?</li>
<li>What is the best time to apply burger or combo offers?</li>
</ul>
</p>
<h3>How Splunk Helped?</h3>
<ul>
<li>Show all the order coming from across the specific region in real time.</li>
<li>Determine how different promotional offers are impacting in real-time</li>
<li>Monitor the performance of Mac Donald's in-house developing point of sale systems.</li>
<li>An employee can monitor what customers are saying and help understand customer expectations.</li>
<li>Analyzed the speed of different payment modes</li>
<li>Determine error-free payments mode</li>
</ul>
<h2>Best Practices of using Splunk</h2>
<ul>
<li>You should test the index so you can quickly perform the test.</li>
<li>There are specific fields you must get right at index time. Everything else you can create/modify only after indexing.</li>
<li>Event breaking happens automatically in spunk, so it's important to check that Splunk correctly detected the beginning and end of an event.</li>
<li>Splunk can automatically detect the time stamp. However, if your log format has a differ timestamp you need to configure the timestamp.</li>
</ul>
<h2>Famous companies using Splunk</h2>
<p>Some famous companies using Splunk are: <ul>
<li>Cisco</li>
<li>Bosch</li>
<li>IBM</li>
<li>Motorola</li>
<li>PepsiCo</li>
<li>Adobe</li>
<li>Visa</li>
<li>Adidas</li>
<li>Facebook</li>
<li>Salesforce</li>
<li>Walmart</li>
</ul>
</p>
<h2>Alternative to Splunk</h2>
<h3>Sumo Logic</h3>
<p>Sumo logic tool helps you maintain the infrastructure of your application. Searching and analyzing data logs in real-time is simple. The tool allows you to monitor and visualize historical and real-time events.</p>
<h3>Loggly</h3>
<p>It allows you to analyze the logs and have fast searching experience. The tool helps you to collect data from the system using Syslog compatibility.</p>
<h3>Fluentd</h3>
<p>Fluentd is a free and open source data collector tool. It helps you to save the logs in FS buffer. Therefore, you can retrieve it whenever you want. It also offers services like load balancing, retries for maintaining robustness.</p>
<h3>ELK stack</h3>
<p>ELK Stack allows users to take to data from any source, in any format, and to search, analyze, and visualize that data. The tool offers centralized logging. This feature is helpful when attempting to identify problems with servers or applications.</p>
<h3>LogFaces</h3>
<p>Logfaces is another alternative of spunk which allows you to email your queries. This tool keeps log data within the premises. The tool comes with an easy to a desktop application.</p>
<h2>Disadvantages of using Splunk</h2>
<p>Some disadvantages of using Splunk tool are: <ul>
<li>Splunk can prove expensive for large data volumes.</li>
<li>Dashboards are functional but not as effective as some other monitoring tools.</li>
<li>Its learning curve is stiff, and you need Splunk training as it's a multi-tier architecture. So you need to spend lots of time to learn this tool.</li>
<li>Searches are difficult to understand, especially regular expressions and search syntax.</li>
</ul>
</p>
<h2>Splunk in devops</h2>

<h3>Splunk in devops</h3>
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<h4>Splunk in devops</h4>
Splunk Inc. is an American multinational corporation based in San Francisco, California, that produces software for searching, monitoring, and analyzing machine-generated big data, via a Web-style int
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