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MichaelTWelp
14.05.2021 05:41:30     На первое субрегион активно выходят погрузчики с электрическим двигателем, на выдержку сколько они гораздо экономичнее, значительно экологичнее в эксплуатации. В связи с развитием современных технологий источников питания, таких в какой степени литий титанат, электропогрузчики стали превосходить в десятки раз автопогрузчики с ДВС по уровню низкой стоимости владения как и ресурсу эксплуатации. Электро погрузчики при практически равной рыночной цене с авто погрузчиками, не потребляют топливо, не требуют дорогостоящего технического обслуживания, также с применением литий-титанатных аккумуляторов абсолютно не требуют обслуживания равным образом замены аккумулятора на протяжении только срока жизни. Люльки строительные Генераторы Бензогенераторы Информация должна быть проверяема, иначе она авось-либо быть поставлена под сомнение также удалена. Бензиновые погрузчики Электропогрузчики Дизельные погрузчики Газовые погрузчики Марки В ближайших планах компании продажи техники в России, Украине и Казахстане. Поэтому компания ищет партнёров для сотрудничества. купить погрузчик вилочный Как бы то ни было это позволяет покупателям купить вилочный погрузчик в Воронеже, Калуге, Рязани или Туле, оптимально соответствующий выполняемым задачам. Спецтехника, которая, прежде в какой-нибудь месяц, характеризуется блестящими качественными характеристиками вдобавок потрясающим удобством на протяжении всего-навсего процесса ее эксплуатации. Википедия:Ссылка на Викисклад непосредственно в статье Слесарные верстаки также подставки для труб Ручной инструмент для труб Вы можете отредактировать эту статью, добавив ссылки на авторитетные источники. Аренда погрузчика, Погрузчики в лизинг, Ремонт погрузчиков, Шины для погрузчиков, Запчастей В корзину Написать в чат ГРУППА КОМПАНИЙ СПЕЦАЗИЯ Предложим минимум два варианта покупки погрузчика: новый или с пробегом (бу). вдобавок это только базовая комплектация… Широкий ряд опций позволит адаптировать технику под любую задачу склада
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13.05.2021 23:47:34     Okeygorandom https://www.google.com/
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Thomaswab
13.05.2021 19:58:31     Доставка вкусных суши в Одессе https://tululu.org/forum/viewtopic.php?f=18&t=22776 бизнес ланч одесса дешевые суши заказать доставка 24 часа одесса доставка большой пиццы доставка горячих роллов доставка еды в коробочках
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MiHoAmerm
13.05.2021 15:30:27     Иногда ли у Вас такое, сколько "сервисы" (Facebook, магазины разные, и прочие сервисы для работы) банили Вас так говорить "СХОДУ"? ?????? Виной тому зачастую становятся именно прокси. И не важно в который канторе Вы их купили и после какую цену. Ведь накануне Вас с ними тоже кто-то работал. И сколько он с ними делал - одному богу известно.?????? Вот и встал задание - словно узнать, хорошие прокси или нет? Акки что ли гробить из-за этого? Не нуждаться терпеть из-за прокси. Вот видео ровно некогда про скрипт чека-проверки прокси. А нужен сей скрипт Вам тож нет - присуждать лишь ВАМ! ?? ?? ?? Тут подробная статья про скрипт - https://helparbitrator.blogspot.com/2021/04/cpa.html Видео по работе скрипта - https://youtu.be/N2m9aGHeA3g
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Sondini
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13.05.2021 01:01:42     Kabrinskiy Eduard - Azure devops agile process - Kabrinskiy Eduard Azure devops agile process Azure devops agile process Breaking news today Azure devops agile process Azure devops agile process In this lab, you will learn about the agile planning and portfolio management tools and processes provided by Azure Boards and how they can help you quickly plan, manage, and track work across your entire team. You will explore the product backlog, sprint backlog, and task boards which can be used to track the flow of work during the course of an iteration. We will also take a look at how the tools have been enhanced in this release to scale for larger teams and organizations. Prerequisites This lab requires you to complete task 1 from the prerequisite instructions. (No cloning needed for this lab, skip Task 2) Exercise 1: Agile Project Management Task 1: Working with teams, areas, and iterations Navigate to your Parts Unlimited project on Azure DevOps. It will be something like https://dev.azure.com/YOURACCOUNT/Parts%20Unlimited. Open the settings page using the Project settings navigation located at the bottom left of the page. Select the Teams tab. There are already a few teams in this project, but you’ll make a new one for this lab. Click New team. Use “PUL-Web” as the Team name and click Create team (Leave defaults). Select the newly created team to view its details. By default, the new team has only you as its member. You can use this view to manage membership, notifications, dashboards, and more. But first you will want to define the schedule and scope of the team. Click Iterations and Area Paths. Select the Iterations tab and click Select iterations. This team will use the same iteration schedule that’s already in place for the other teams, although you can take a different route if that’s better for your organization. Select Parts UnlimitedSprint 1 and click Save and close. Note that this first sprint has already passed. This is because the demo data generator is designed to build out project history so that this sprint occurs in the past. Repeat the process to add Sprint 2 and Sprint 3 (add them as in previous step). The second sprint is our current iteration, and the third is in the near future. Select the Areas tab. By default, there is an area matching the name of the team. From the area dropdown, select Include sub areas. The default setting for all teams is to exclude sub-area paths. We will change it to include sub-areas so that the team gets visibility into all of the work items from all teams. Optionally, the management team could also choose to not include sub-areas, thereby removing work items from their view as soon as they are assigned to one of the teams. Task 2: Working with work items Work items play a prominent role in Azure DevOps. Whether describing work to be done, impediments to release, test definitions, or other key items, work items are the workhorse of modern projects. In this task you’ll focus on using various work items to set up the plan to extend the Parts Unlimited site with a product training section. While it can be daunting to build out such a substantial part of a company’s offering, Azure DevOps and the Scrum process make it very manageable. This task is designed to illustrate a variety of ways you can create different kinds of work items, as well as to demonstrate the breadth of features available on the platform. As a result, these steps should not be viewed as prescriptive guidance for project management. The features are intended to be flexible enough to fit your process needs, so explore and experiment as you go. Navigate to Overview | Dashboards. Select the Overview dashboard for Parts Unlimited Team. There are many ways to create work items in Azure DevOps, and we’ll explore a few of them. Sometimes it’s as simple as firing one off from a dashboard. In the New Work Item form, type “Product training” and select the Epic type. Click Create. Assign the new work item to yourself and set the Area to Parts UnlimitedPUL-Web. Set the Iteration to Parts UnlimitedSprint 2 and click Save & Close. Ordinarily you would want to fill out as much information as possible, but you can run lean here for the purposes of this lab. Navigate to Boards | Work Items. Locate the newly created epic for Product training and open it. The work item form includes everything you could ever want to know about a work item. This includes details about who it’s assigned to, its status across many parameters, and all the associated information and history for how it has been handled since creation. One of the key areas to focus on is the Related Work. One of the ways to add a feature to this epic is to select Add link | New item. Set the Work item type to Feature and set the Title to “Training dashboard”. Click OK. That Assignment, Area, and Iteration should already set to the same as the epic, and it’s even linked to the parent item it was created from. Click Save & Close. Navigate to the Boards view. Select PUL-Web Boards. This will open the board for that particular team. Switch the board from showing Backlog items to showing Features. This will make it easy to add tasks and other work items to the features. From the Training dashboard dropdown, select Add Product Backlog Item. Name the first backlog item “As a customer, I want to view new tutorials” and press Enter to save. This creates a new Product Backlog Item (PBI) work item that is a child of the feature and shares its area and iteration. Add two more PBIs designed to enable the customer to see their recently viewed tutorials and to request new tutorials. Switch the task board view back to Backlog items. Backlog items have a state that defines where they are relative to being completed. While you could open and edit the work item using the form, it’s easier to just drag cards on the board. Drag the first work item to Approved. You can also expand work item cards to get to conveniently editable details. Assign the moved PBI to yourself. Drag the second work item to the Committed stage. Drag the final PBI to the Done stage. The task board is one view into the backlog. View the tabular form by clicking View as Backlog. Click the Expand button, which allows you to view nested tasks under these work items. Another easy way to create work items is using the Add button on the backlog. Click it to add a new task to the first backlog item. Set the Title to “Add page for most recent tutorials”. Set the Remaining Work to “5” and the Activity to “Development”. Click Save & Close. Add another task to “Optimize data query for most recent tutorials”. Set its Remaining Work to “3” and its Activity to “Design”. Click Save & Close. Task 3: Managing sprints and capacity Your team builds the sprint backlog during the sprint planning meeting, typically held on the first day of the sprint. Each sprint corresponds to a time-boxed interval which supports your team’s ability to work using Agile processes and tools. During the planning meeting, your product owner works with your team to identify those stories or backlog items to complete in the sprint. Planning meetings typically consist of two parts. In the first part, the team and product owner identify the backlog items that the team feels it can commit to completing in the sprint, based on experience with previous sprints. These items get added to the sprint backlog. In the second part, your team determines how it will develop and test each item. They then define and estimate the tasks required to complete each item. Finally, your team commits to implementing some or all the items based on these estimates. Your sprint backlog should contain all the information your team needs to successfully plan and complete work within the time allotted without having to rush at the end. Before you start planning your sprint, you’ll want to have created, prioritized, and estimated your backlog and defined your sprints. Navigate to the Sprints view using the navigation. From the View options dropdown, select the Work details panel option. The current sprint has a pretty limited scope. There are two tasks in the To do stage that combine for 8 hours of estimated work. At this point, neither task has been assigned. Assign the Add page task to yourself. Note that this updates the capacity view. Select the Capacity tab. This view enables you to define what activities a user can take on and at what level of capacity. In this case, set your capacity to allow “1” hour of Development per day. Note that you can add additional activities per user in the case they do more than just development. However, let’s assume you’re going to take some vacation. Click 0 days under Days off. Set your vacation to span five work days during the current sprint (within the next few weeks). Click OK. Click Save. Return to the Taskboard. Note that the capacity view has been updated to reflect your available bandwidth. This exact number may vary, but for the screenshots here, that sprint capacity is 11 hours (1 hour per day over 11 working days). One convenient feature of the boards is that you can easily update key data in-line. It’s a good practice to regularly update the Remaining Work estimate to reflect the amount of time expected for each task. Let’s say you’ve reviewed the work for the Add page task and found that it will actually take longer than originally expected. Set it to whatever your total capacity is for this sprint. Note how this expands the Development and your personal capacities to their maximum. Since they’re large enough to cover the assigned tasks, they stay green. However, the overall Team capacity is exceeded due to the additional 3 hours required by the other task. One way to resolve this capacity issue would be to move the task to a future iteration. There are a few ways this could be done. First, you could open the task here and edit it in the dialog. The Backlog view, on the other hand, provides an in-line menu option to move it. Don’t move it now. Return to the Taskboard view. Select People from the View options dropdown. This adjusts your view such that you can review the progress of tasks by person instead of by backlog item. There is also a lot of customization available. Click the Configure team settings button. On the Styles tab, click Add Styling rule and set the Name to “Development”. Choose a green Card color. This will color all cards green if they meet the rule criteria set below. Add a rule for Activity = Development. This will set all cards assigned to Development activities green. The Backlogs tab allows you to set the levels available for navigation. Epics are not included by default, but you could change that here. You can also specify the Working days the team follows. This applies to capacity and burndown calculations. The Working with bugs tab allows you to specify how bugs are presented on the board. Click Save and close to save the styling rule. The task associated with Development is now green and very easy to identify. Task 4: Customizing Kanban boards To maximize a team’s ability to consistently deliver high quality software, Kanban emphasize two main practices. The first, visualize the flow of work, requires you to map your team’s workflow stages and configure your Kanban board to match. The second, constrain the amount of work in progress, requires you to set work-in-progress (WIP) limits. You’re then ready to track progress on your Kanban board and monitor key metrics to reduce lead or cycle time. Your Kanban board turns your backlog into an interactive signboard, providing a visual flow of work. As work progresses from idea to completion, you update the items on the board. Each column represents a work stage, and each card represents a user story (blue cards) or a bug (red cards) at that stage of work. However, every team develops its own process over time, so the ability to customize the Kanban board to match the way your team works is crucial. Navigate to Boards. Click the Configure team settings button. The team is emphasizing work done with data, so there is special attention paid to any task associated with accessing or storing data. Select the Tag colors tab. Click Add tag color enter a tag of “data”. Whenever a backlog item or bug is tagged with data, that tag will be highlighted. You can also specify which Annotations you would like included on cards to make them easier to read and navigate. When an annotation is enabled, the child work items of that type are easily accessible by clicking the visualization on each card. The Tests tab enables you to configure how tests appear and behave on the cards. Click Save and close. Open the view new tutorials backlog item. Add tags for “data” and “ux”. Click Save & Close. Note that the two tags are now visible on the card, although the data tag is highlighted yellow as configured. Click the Configure team settings button. Select the Columns tab. This section allows you to add new stages to the workflow. Click Add Column and set the Name to “QA Approved”. Set the WIP limit to “1”, which indicates that only one work item should be in this stage at a time. You would ordinarily set this higher, but there are only two work items to demonstrate the feature with here. Move the stage to occur between Committed and Done. Click Save and close. You will now see the new stage in the workflow. Move the work items from Committed and Done into QA Approved. The stage now exceeds its WIP limit and is colored red as a warning. Move the recently viewed backlog item back to Committed. Click the Configure team settings button. Return to the Columns tab and select QA Approved. A lag often exists between when work gets moved into a column and when work starts. To counter that lag and reveal the actual state of work in progress, you can turn on split columns. When split, each column contains two sub-columns: Doing and Done. Split columns let your team implement a pull model. Without split columns, teams push work forward, to signal that they’ve completed their stage of work. However, pushing it to the next stage doesn’t necessarily mean that a team member immediately starts work on that item. Check Split column into doing and done to create two separate columns for this. As your team updates the status of work as it progresses from one stage to the next, it helps that they agree on what done means. By specifying the Definition of done criteria for each Kanban column, you help share the essential tasks to complete before moving an item into a downstream stage. Add a Definition of done using markdown, such as “Passes **all** tests.”. Click Save and close. Note that the QA Approved stage now has Doing and Done columns. You can also click the icon next to the column header to read the Definition of done. Click the Configure team settings button. Your Kanban board supports your ability to visualize the flow of work as it moves from new to done. When you add swimlanes, you can also visualize the status of work that supports different service-level classes. You can create a swimlane to represent any other dimension that supports your tracking needs. From the Swimlanes tab, click Add Swimlane and set the Name to “Expedite”. Click Save and close. Drag and drop the Committed work item onto QA Approved | Doing so that it gets recognized as having priority when QA bandwidth becomes available. If you would like to review a more sophisticated board with many more work items, select the Parts Unlimited Team from the team dropdown. This board provides a playground for you to experiment with and review the results. Task 5: Defining dashboards Select Overview | Dashboards. From the dashboard dropdown, select Parts Unlimited Team Overview. Dashboards allow teams to visualize status and monitor progress across the project. At a glance, you can make informed decisions without having to drill down into other parts of your team project site. The Overview page provides access to a default team dashboard which you can customize by adding, removing, or rearranging the tiles. Each tile corresponds to a widget that provides access to one or more features or functions. From the dashboard dropdown, select New dashboard. Set the Name to “Product training” and select the PUL-Web team. Click Create. Click Add a widget. In the Add Widget panel, search for “sprint” to find existing widgets that focus on sprints. Select Sprint Overview and click Add. Many widgets have options you can configure. Click the Settings button. The quantity and depth of settings will vary by widget. Click Close to dismiss. Search the widgets again for “sprint” and add the Sprint Capacity widget. Click Done Editing. You can now review two important aspects of your current sprint on your custom dashboard. Another way of customizing dashboards is to generate charts based on work item queries, which you can share to a dashboard. Select Boards | Queries. Click New query. Set the first term to Work Item Type = Task and the second term to Area Path = Parts UnlimitedPUL-Web. Click Save query. Set the Name to “Web tasks” and the Folder to Shared Queries. Click OK. Select the Charts tab and click New chart. Click New chart. Set the Name of the chart to “Web tasks - By assignment” and Group by to Assigned To. Click OK to save. You can now add this chart to a dashboard. Task 6: Customizing team process In Azure DevOps, you customize your work tracking experience through a process. A process defines the building blocks of the work item tracking system as well as other sub-systems you access through Azure DevOps. Whenever you create a team project, you select the process which contains the building blocks you want for your project. Azure DevOps supports two process types. The first, the core system processes-Scrum, Agile, and CMMI system processes-are locked. You cannot customize these processes. The second type, inherited processes, you create from a core system process. These processes you can customize. In addition, all processes are shared. That is, one or more team projects can reference a single process. Instead of customizing a single team project, you customize a process. Changes made to the process automatically update all team projects that reference that process. Once you’ve created an inherited process, you can customize it, create team projects based on it, and migrate existing team projects to reference it. The Git team project can’t be customized until it’s migrated to an inherited process. In this task we’ll create a new process that inherits from Scrum. The one change we’ll make is to add a backlog item field designed to track to a proprietary PartsUnlimited ticket ID. Click the Azure DevOps logo in the top left corner to navigate to the account root. From the left bottom corner, click Organization settings. Select the Process tab under Boards. From the Scrum dropdown, select Create inherited process. Set the name of the inherited process to Customized Scrum and click Create process. Open Customized Scrum. You may need to refresh the browser for this to become visible. Select Product Backlog Item. Click New field. Set the Name of the new field to “PUL Ticket ID”. On the Layout tab, set the Label to “Ticket ID”. Also Create a new group for “PartsUnlimited”. Click Add field. Now that the customized process has been configured, let’s switch the Parts Unlimited project to use it. Return to the All processes root using the breadcrumb. Our project currently uses Scrum, so select that process. Switch to the Projects tab. From the context menu for Parts Unlimited. Select Change process. Select the Customized Scrum process and click Save. Return to the account dashboard using the logo link. Open the Parts Unlimited portal. Select Boards | Work Items. Open the first backlog item. You will now see the Ticket ID field under the PartsUnlimited group defined during the process customization. You can treat this like any other text field. Once the work item is saved, Azure DevOps will also save the new custom information so that it will be available for queries and through the rest of Azure DevOps. Reference Thanks to Nagaraj Bhairaji for making a video on this lab. You can watch the following video that walks you through all the steps explained in this lab Azure devops agile process Azure devops agile process Azure devops agile process Top headlines Azure devops agile process Azure devops agile process Azure devops agile process In this lab, you will learn about the agile planning and portfolio management tools and processes provided by Azure Boards and how they can help you quickly plan, Azure devops agile process Azure devops agile process Azure devops agile process Azure devops agile process SOURCE: Azure devops agile process Azure devops agile process Azure devops agile process #tags# -,-Azure devops agile process] Azure devops agile process#tags# Кабринский Эдуард news headlines
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13.05.2021 00:43:08     Eduard Kabrinskiy - Devops methods - Кабринский Эдуард Devops methods Devops methods Latest news live Devops methods The 10 best DevOps tools for 2020 Last updated January 2020 for accuracy. The integration of Development and Operations brings a new perspective to software development. If you’re new to DevOps practices, or looking to improve your current processes, it can be a challenge to know which tool is best for your team. We’ve put together this list to help you make an informed decision on which tools should be part of your stack. So, letРІР‚в„ўs take a look at the 10 best DevOps tools, from automated build tools to application performance monitoring platforms. The best DevOps tools for 2020 1. Gradle Your DevOps tool stack will need a reliable build tool. Apache Ant and Maven dominated the automated build tools market for many years, but Gradle showed up on the scene in 2009, and its popularity has steadily grown since then. Gradle is an incredibly versatile tool which allows you to write your code in Java, C++, Python, or other languages. Gradle is also supported by popular IDEs such as Netbeans, Eclipse, and IntelliJ IDEA. If that doesn’t convince you, it might help to know that Google also chose it as the official build tool for Android Studio. While Maven and Ant use XML for configuration, Gradle introduces a Groovy-based DSL for describing builds. In 2016, the Gradle team also released a Kotlin-based DSL, so now you can write your build scripts in Kotlin as well. This means that Gradle does have some learning curves, so it can help a lot if you have used Groovy, Kotlin or another JVM language before. Besides, Gradle uses MavenРІР‚в„ўs repository format, so dependency management will be familiar if you have prior experience with Maven. You can also import your Ant builds into Gradle. The best thing about Gradle is incremental builds, as they save a nice amount of compile time. According to GradleРІР‚в„ўs performance measurements, itРІР‚в„ўs up to 100 times faster than Maven. This is in part because of incrementality, but also due to GradleРІР‚в„ўs build cache and daemon. The build cache reuses task outputs, while the Gradle Daemon keeps build information hot in memory in-between builds. All in all, Gradle allows faster shipping and comes with a lot of configuration possibilities. 2. Git Git is one of the most popular DevOps tools, widely used across the software industry. ItРІР‚в„ўs a distributed SCM (source code management) tool, loved by remote teams and open source contributors. Git allows you to track the progress of your development work. You can save different versions of your source code and return to a previous version when necessary. ItРІР‚в„ўs also great for experimenting, as you can create separate branches and merge new features only when theyРІР‚в„ўre ready to go. To integrate Git with your DevOps workflow, you also need to host repositories where your team members can push their work. Currently, the two best online Git repo hosting services are GitHub and Bitbucket. GitHub is more well-known, but Bitbucket comes with free unlimited private repos for small teams (up to five team members). With GitHub, you get access only to public repos for free—which is still a great solution for many projects. Both GitHub and Bitbucket have fantastic integrations. For example, you can integrate them with Slack, so everyone on your team gets notified whenever someone makes a new commit. 3. Jenkins Jenkins is the go-to DevOps automation tool for many software development teams. ItРІР‚в„ўs an open source CI/CD server that allows you to automate the different stages of your delivery pipeline. The main reason for JenkinsРІР‚в„ў popularity is its huge plugin ecosystem. Currently, it offers more than 1,000 plugins, so it integrates with almost all DevOps tools, from Docker to Puppet. With Jenkins, you can set up and customize your CI/CD pipeline according to your own needs. I found the following example in the Jenkins Docs. And, this is just one of the possibilities. Nice, isnРІР‚в„ўt it? ItРІР‚в„ўs easy to get started with Jenkins, as it runs out-of-the-box on Windows, Mac OS X, and Linux. You can also easily install it with Docker. You can set up and configure your Jenkins server through a web interface. If you are a first-time user, you can choose to install it with frequently used plugins. However, you can create your own custom config as well. With Jenkins, you can iterate and deploy new code as quickly as possible. It also allows you to measure the success of each step of your pipeline. IРІР‚в„ўve heard people complaining about JenkinsРІР‚в„ў “ugly” and non-intuitive UI. However, I could still find everything I wanted without any problem. 4. Bamboo Bamboo is AtlassianРІР‚в„ўs CI/CD server solution that has many similar features to Jenkins. Both are popular DevOps tools that allow you to automate your delivery pipeline, from builds to deployment. However, while Jenkins is open source, Bamboo comes with a price tag. So, hereРІР‚в„ўs the eternal question: is it worth choosing proprietary software if thereРІР‚в„ўs a free alternative? It depends on your budget and goals. Bamboo has many pre-built functionalities that you have to set up manually in Jenkins. This is also the reason why Bamboo has fewer plugins (around 100 compared to JenkinsРІР‚в„ў 1000+). In fact, you donРІР‚в„ўt need that many plugins with Bamboo, as it does many things out-of-the-box. Bamboo seamlessly integrates with other Atlassian products such as Jira and Bitbucket. You also have access to built-in Git and Mercurial branching workflows and test environments. All in all, Bamboo can save you a lot of configuration time. It also comes with a more intuitive UI with tooltips, auto-completion, and other handy features. 5. Docker Docker has been the number one container platform since its launch in 2013 and continues to improve. ItРІР‚в„ўs also thought of as one of the most important DevOps tools out there. Docker has made containerization popular in the tech world, mainly because it makes distributed development possible and automates the deployment of your apps. It isolates applications into separate containers, so they become portable and more secure. Docker apps are also OS and platform independent. You can use Docker containers instead of virtual machines such as VirtualBox. What I like the most about Docker is that you donРІР‚в„ўt have to worry about dependency management. You can package all dependencies within the appРІР‚в„ўs container and ship the whole thing as an independent unit. Then, you can run the app on any machine or platform without a headache. Docker integrates with Jenkins and Bamboo, too. If you use it together with one of these automation servers, you can further improve your delivery workflow. Besides, Docker is also great for cloud computing. In recent years, all major cloud providers such as AWS and Google Cloud added support for Docker. So, if you are planning a cloud migration, Docker can ease the process for you. 6. Kubernetes This year, everyone is talking about Kubernetes. ItРІР‚в„ўs a container orchestration platform that takes containerization to the next level. It works well with Docker or any of its alternatives. Kubernetes is still very new; its first release came out in 2015. It was founded by a couple of Google engineers who wanted to find a solution to manage containers at scale. With Kubernetes, you can group your containers into logical units. You may not need a container orchestration platform if you have just a few containers. However, itРІР‚в„ўs the next logical step when you reach a certain level of complexity and need to scale your resources. Kubernetes allows you to automate the process of managing hundreds of containers. With Kubernetes, you donРІР‚в„ўt have to tie your containerized apps to a single machine. Instead, you can deploy it to a cluster of computers. Kubernetes automates the distribution and scheduling of containers across the whole cluster. A Kubernetes cluster consists of one master and several worker nodes. The master node implements your pre-defined rules and deploys the containers to the worker nodes. Kubernetes pays attention to everything. For instance, it notices when a worker node is down and redistributes the containers whenever itРІР‚в„ўs necessary. 7. Puppet Enterprise Puppet Enterprise is a cross-platform configuration management platform. It allows you to manage your infrastructure as code. As it automates infrastructure management, you can deliver software faster and more securely. Puppet also provides developers with an open-source tool for smaller projects. However, if you are dealing with a larger infrastructure, you may find value in Puppet EnterpriseРІР‚в„ўs extra features, such as: Real-time reports Role-based access control Node management With Puppet Enterprise, you can manage multiple teams and thousands of resources. It automatically understands relationships within your infrastructure. It deals with dependencies and handles failures smartly. When it encounters a failed configuration, it skips all the dependent configurations as well. The best thing about Puppet is that it has more than 5,000 modules and integrates with many popular DevOps tools. 8. Ansible Ansible is a configuration management tool, similar to Puppet and Chef. You can use it to configure your infrastructure and automate deployment. Its main selling points compared to other similar DevOps tools are simplicity and ease of use. Ansible follows the same Infrastructure As Code (IAC) approach as Puppet. However, it uses the super simple YAML syntax. With Ansible, you can define tasks in YAML, while Puppet has its own declarative language. Agentless architecture is another frequently mentioned feature of Ansible. As no daemons or agents run in the background, Ansible is a secure and lightweight solution for configuration management automation. Similar to Puppet, Ansible also has several modules. If you want to better understand how Ansible fits into the DevOps workflow take a look at this post by the Red Hat Blog. It shows how to use Ansible for environment provisioning and application deployment within a Jenkins pipeline. 9. Nagios Nagios is one of the most popular free and open source DevOps monitoring tools. It allows you to monitor your infrastructure so that you can find and fix problems. With Nagios, you can keep records of events, outages, and failures. You can also keep an eye on trends with the help of NagiosРІР‚в„ў graphs and reports. This way, you can forecast outages and errors and detect security threats. Although there are many DevOps tools for infrastructure monitoring, Nagios stands out due to its rich plugin ecosystem. As Nagios has been around for a while (since 2002), thereРІР‚в„ўs a vast community around it. Besides plugins, they also make add-ons, tutorials, translations, and other goodies—all for free. Nagios offers four open source monitoring solutions: Nagios Core Nagios XI Nagios Log Server Nagios Fusion Nagios Core is a command line tool, with all the basic functionalities. You can also opt for Nagios XI that comes with a web-based GUI and monitoring wizard. Nagios writes a handy comparison of their capabilities. Nagios Log Server lets you search log data and set up alerts about potential threats. And, Nagios Fusion allows you to monitor multiple networks at the same time. On the whole, Nagios provides DevOps teams with an infrastructure monitoring solution. However, it can take a while to set it up and make it compatible with your environment. 10. Raygun Raygun is a world-class error monitoring and crash reporting platform. Application performance monitoring (APM) is its most recent product. Raygun’s DevOps tool helps you diagnose performance issues and tracking them back to the exact line of code, function, or API call. The APM tool also fits well with RaygunРІР‚в„ўs error management workflow. For example, it automatically identifies your highest priority problems and creates issues for you. Raygun APM can help you make the most out of other DevOps tools, as you are always notified about the problems. Since it automatically links errors back to the source code, Raygun brings Development and Operations together by providing one source of truth for the whole team the cause of errors and performance problems. Which DevOps tools are right for your team? Finding the best DevOps tools takes some testing and experimentation. It usually takes more time to set up and configure open-source tools. Most commercial DevOps tools come with free trials that allow you to test and evaluate them at no cost. It all boils down to your needs and goals. Further reading Performance Matters The best software performance articles from around the web delivered to your inbox each week. Your information is safe with us. Read our privacy policy. Devops methods Devops methods Devops methods International news Devops methods Devops methods The best DevOps tools to use in 2020: Docker, Kubernetes, and Jenkins all make your life easier. Devops methods Devops methods Devops methods Devops methods SOURCE: Devops methods Devops methods Devops methods #tags# -,-Devops methods] Devops methods#tags# Кабринский Эдуард today's news headlines
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13.05.2021 00:23:31     Kabrinskiy Eduard - Azure devops gantt - Kabrinskiy Eduard Azure devops gantt Azure devops gantt World news today live Azure devops gantt Azure devops gantt Live Dependency Validation in Visual Studio 2019 Overview Visual Studio 2019 enables teams to validate architectural dependencies in their solutions using the Layer Designer, which first shipped in Visual Studio 2010. This feature helps ensure that developers respect the architectural constraints of the application as they edit their code. Developers now get real-time design feedback in the editor so they can immediately stop introducing architectural flaws. “Layer” diagrams have also been renamed “dependency validation” diagrams to make it clearer what they are for. Related Resources See this blog post for a detailed discussion comparing the live dependency validation experience with the past. Prerequisites In order to complete this lab you will need the Azure DevOps Server 2019 virtual machine provided by Microsoft. Click the button below to launch the virtual machine on the Microsoft Hands-on-Labs portal. Alternatively, you can download the virtual machine from here. Exercise 1: Real Time Dependency Validation in Visual Studio 2019 Task 1: Creating a dependency diagram Log in as Sachin Raj (VSALMSachin). All user passwords are P2ssw0rd. Launch Visual Studio from the taskbar. Load the PartsUnlimited solution. Press Ctrl+Shift+B to rebuild the solution. Select Architecture | New Dependency Validation Diagram from the main menu. Enter a Name of “PartsUnlimited.Dependencies” and click Create. If asked to update projects to support dependency validation, click Update. Note that the new project has been added to the solution. Double-click DependencyValidation1.layerdiagram to open it. There are a lot of ways to add layers to the diagram, including from the Solution Explorer, Class View, and Object Browser. In this case, we’re going to automatically generate a code map and then use that to codify our architecture via the diagram. Select Architecture | Generate Code Map for Solution. This code map will pull in everything it can about the project and represent it in a diagram so we can easily walk through the de facto dependencies and relationships each component (class, etc) has. Expand the PartsUnlimited.dll component to see the namespaces it contains. It gets a little messy at this point because we have lots of relationships and dependencies mapped across and within the project and its tests. Use Ctrl+Click to select PartsUnlimited.Controllers, PartsUnlimited.ViewModels, and PartsUnlimited.ProductSearch. Press Ctrl+C to copy them. Switch back to the layer diagram and press Ctrl+V to paste the three components from the last step. You may want to rearrange them as shown below to make their relationships easier to understand. Put simply, the controllers namespace depends on the product search and viewmodel namespaces. While these relationships existed before and may have been unofficial while the project was being developed, putting them into the layer diagram makes them official architectural law moving forward. It’s important to understand that the rules only exist for layers that exist on the diagram. For example, the Controllers namespace can reference the ProductSearch or ViewModels namespaces because their relationships are explicitly defined. At the same time, those two namespaces may not reference anything from the Controllers namespace because the dependency is directional (there are bidirectional dependencies available if two-way references are desired). ProductSearch and ViewModels may also not reference each other because they do not have an explicit dependency in the diagram. However, a namespace like PartsUnlimited.Utils is not used in the layer diagram and therefore is not enforced by the dependency validation engine. It may reference anything and anything may reference it. However, if it were added to the diagram, then all of its dependencies with every other layer in the diagram would be enforced. Press Ctrl+S to save the diagram. Task 2: Live dependency validation Now it’s time to break some rules. Press Ctrl+Shift+B to rebuild the solution. It should build as expected because we haven’t violated any policy…yet. In Solution Explorer, search for “string” and open StringContainsProductSearch. This class is a member of the PartsUnlimited.ProductSearch namespace, and therefore is not allowed to reference anything from PartsUnlimited.ViewModels. Locate the Search method. It currently returns a Task . Change it to return a Task >. While this change introduces other errors as well, the key thing to focus on here is that the editor immediately provides a red squiggle indicating that this reference is not allowed based on its defined relationships. This live dependency validation provides immediate feedback to enforce architectural practices so that developers can feel confident that they’re following the project rules. And even if the developer were to ignore the red squiggle, they would still be unable to build the solution due to error-level enforcement of the policy. However, you can customize exactly how dependency rule violations are treated. In Solution Explorer, clear the search box. Under References, right-click Analyzers and select Open Active Rule Set. Azure devops gantt Azure devops gantt Azure devops gantt Latest news update Azure devops gantt Azure devops gantt Azure devops gantt Live Dependency Validation in Visual Studio 2019 Overview Visual Studio 2019 enables teams to validate architectural dependencies in their solutions using the Layer Azure devops gantt Azure devops gantt Azure devops gantt Azure devops gantt SOURCE: Azure devops gantt Azure devops gantt Azure devops gantt #tags# -,-Azure devops gantt] Azure devops gantt#tags# Kabrinskiy Eduard latest news
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