Team Foundation Server 2012 Product Key Free Crack
Mariam Obregon
Azure DevOps Server, formerly known as Team Foundation Server (TFS) and Visual Studio Team System (VSTS), is a Microsoft product that provides version control (either with Team Foundation Version Control (TFVC) or Git), reporting, requirements management, project management (for both agile software development and waterfall teams), automated builds, testing and release management capabilities. It covers the entire application lifecycle and enables DevOps capabilities.[2] Azure DevOps can be used as a back-end to numerous integrated development environments (IDEs) but is tailored for Microsoft Visual Studio and Eclipse on all platforms.[3]
Azure DevOps is available in two different forms: on-premises ("Server") and online ("Services").[4] The latter form is called Azure DevOps Services (formerly Visual Studio Online before it was renamed to Visual Studio Team Services in 2015). The cloud service is backed by the Microsoft Azure cloud platform. It uses the same code as the on-premises version of Azure DevOps, with minor modifications, and implements the most recent features. A user signs in using a Microsoft account to set up an environment, creating projects and adding team members. New features developed in short development cycles are added to the cloud version first. These features migrate to the on-premises version as updates, at approximately three-month intervals.[5]
Azure DevOps is built on multi-tier, scalable architecture. The primary structure consists of an application tier responsible for processing logic and maintaining the web application portal (referred to as Team Web Access or TWA). Azure DevOps is built using Windows Communication Foundation web services. These may be consumed by any client, although the client object model is recommended. The data tier and application tier can exist on the same machine.
To support scalability, the application tier can be load balanced and the data tier can be clustered. If using Microsoft SQL Server 2012 or later, AlwaysOn SQL Server Failover Clusters and Availability Groups are supported which allows for geographic replication of data.[6] The primary container is the project collection. A project collection is a database that contains a group of Team Projects. The Project Collection is another scalability mechanism, in that each collection can be placed on different SQL Servers or SQL Server instances. 'Oe' configuration database per Azure DevOps instance stores project collection metadata. Data from the project collection databases is aggregated into the warehouse database, which denormalizes the data in preparation for loading into an Analysis Services cube. The warehouse and the cube allow complex trend reporting and data analysis.
Azure DevOps can integrate with an existing SharePoint farm. SQL Server Reporting Services are supported for more advanced reporting against the data warehouse or the Analysis Services data cube. These installations can be on the same system or on different systems. Build servers, lab management servers, release management servers and proxy servers (to reduce some of the load on the application tier), test machines and load test machines can also be added to the infrastructure.[7] To support teams requiring enterprise project scheduling, Azure DevOps also integrates with Microsoft Project Server, which allows enterprise level portfolio management, resource management and project tracking.
Microsoft provides two standalone redistributed APIs for connecting to Azure DevOps. One is a Java SDK, the other is a .NET Framework SDK. These APIs allow for client connectivity to Azure DevOps. Because Azure DevOps is written on a service-oriented architecture, it can communicate with virtually any tool that can call a web service. Another extensible mechanism is subscribing to system alerts: for example, alerts that a work item was changed, or a build completed. There are approximately 20 preconfigured alerts, and teams can configure as many additional alerts as needed.[8] When used in an extensible scenario, these alerts can be sent to a web service, triggering actions to alter or update work items (such as implementing advanced business rules or generating work items programmatically based on a given scenario).
The data warehouse can also be extended through the creation of custom data warehouse adapters.[9] With the introduction of TFS 2012, custom add-ins can also be created for Team Web Access, called Web Access Extensions.
Microsoft Excel and Microsoft Project are also supported to help manage work items which allows for bulk update, bulk entry and bulk export of work items. Microsoft Project can be used to schedule work when conforming to a waterfall software development methodology. Both Excel and Project support bi-directional updates of data. This allows, for example, project managers to put a schedule in Project, have that work imported into Azure DevOps where developers update the work and then the schedule can be updated without the project manager having to perform extra work.
With Team Foundation Server 2012, Microsoft PowerPoint was also integrated with Azure DevOps to enable rapid storyboard development to help with the requirements management process. The integration provides extensible storyboard shapes that can be used to build any type of interface mockup that can then be animated with PowerPoint's built-in functions. These storyboards can then be linked to work items.
Work items can be linked to each other using different relationships to create a hierarchical tree of work items or a flat relationship between work items. Work items can also be linked to external artifacts such as web pages, documents on a file share or documents stored in another repository such as SharePoint. Work items can also be linked to source code, build results, test results and specific versions of items in source control.
The flexibility in the work item system allows Azure DevOps to play many roles from requirements management to bug tracking, risk and issue tracking, as well as recording the results of reviews. The extensible linking capabilities ensure that traceability from requirements to source code to test cases and results can be accomplished and reported on for auditing purposes as well as historical understanding of changes.
To improve performance for remote clients, Azure DevOps includes the ability to install Proxy Servers.[16] Proxy servers allow source control contents to be cached at a site closer to the developers to avoid long network trips and the associated latency. Check-ins are still performed directly against the Azure DevOps application tier so the Proxy Server is most beneficial in read scenarios.
As part of the source control engine, Azure DevOps supports a number of features to help developers ensure the code that is checked in follows configurable rules. This rule engine is called a Check-in Policy. There are several out of the box policies such as the Changeset Comments Policy which will not allow a check-in unless the developer enters a check-in comment. These policies are extensible and can be used to examine all aspects of the code being checked in, the comments and the related work items. Azure DevOps also supports a Code Analysis feature that when used independently is known as FxCop. The inclusion in Azure DevOps means that the analysis can run against code checked into the server and during automated builds.
With the release of TFS 2013, Microsoft added native support for Git. This is not a Microsoft specific implementation but a standard implementation based on the libgit2[18] library. This is the same library that powers the popular GitHub and the code is freely available from GitHub. Because Microsoft took the approach of using a standard library, any Git client can now be used natively with Azure DevOps (in other words, developers can use their favorite tools and never install the standard Azure DevOps clients). This allows tools on any platform and any IDE that support Git to connect to Azure DevOps. For example, both Xcode and Android Studio support Git plug-ins. In addition, if developers do not want to use Microsoft's Team Explorer Everywhere plug-in for Eclipse, they can choose to use eGit[19] to connect to Azure DevOps.
Using Git does not preclude the benefit of using Azure DevOps work item or build system. When checking code in with Git, referencing the work item ID in the check-in comment will associate the check-in with the given work item. Likewise, Team Build will also build Git projects.
One of the major reasons to use Azure DevOps as a Git repository is that it is backed by SQL Server and is afforded the same protection as Team Foundation Version Control (TFVC). This gives developers some choices when choosing the type of project and work style that works best for them.
Reporting has been a core component of Azure DevOps since its initial release in 2005. The reporting infrastructure consists of a data warehouse[20] (Tfs_Warehouse) which is a relational database and a SQL Server Analysis Services data cube.[21] Both of these sources are available for reporting through SQL Server Reporting Services when this option is installed. Since these are standard database and cube structures, any tool which can point to these data sources can report from them. This includes tools such as Cognos, Tableau, Excel and other reporting tools. Included with each out of the box process template is a set of reports for reporting services which cover Build information, Test results and progress, project management, agile reports (Backlog Overview, Release Burndown, Sprint Burndown and Velocity), bug and issue data. New reports can be created using Report Builder for SSRS and any of the existing reports can be modified.
TFS 2013 introduced a new feature called "light-weight reporting" which provides for the ability to create real-time reports based on query results and which do not rely on the warehouse or cube. TFS 2012 (and continuing into 2013) offers real-time burndown, velocity and CFD diagrams directly within Team Web Access.
b37509886e