We developed an Azure DevOps interface for an existing capability mapping software solution for a company. The focus was on integrating with Azure DevOps, bidirectional access to work items, and interfaces for settings and editing within the context of the extension. We also backed up the implementation with end-to-end tests.
Initial situation
A company wanted to connect its capability mapping software to Azure DevOps. The business task sat in the area of business-IT alignment, meaning the coordinated view of business requirements and technical implementation.
To achieve this, the aim was to create an integration that enables access to work items and supports use directly within the Azure DevOps environment. This meant the project involved providing a suitable extension as well as the necessary technical components for data exchange and user interfaces.
Solution
We implemented a native Azure DevOps Extension and developed several components for it. These included a backend service for bidirectional access to work items, a settings page and a custom work item control with AutoSuggest. AutoSuggest means that relevant suggestions are displayed as the user types.
The work ran from December 2022 to March 2023 in a team of 2 people. We also implemented end-to-end tests. End-to-end tests verify complete processes from the user’s perspective and help to check interactions and user journeys across multiple components.
Result
The delivered solution connected the capability mapping software to Azure DevOps. The completed project included the native extension, the backend service for bidirectional access to work items, the settings page, the custom work item control with AutoSuggest and end-to-end tests.
The duration was 4 months. The project was completed.
Technology
Angular 14, TypeScript, React, NGXS, RxJS, Node.js, Jasmine, Karma, TailwindCSS, Azure DevOps Server, Jest and Puppeteer were used for the implementation.
- Angular 14, React and TypeScript were used to build the interfaces and application logic.
- NGXS and RxJS supported the handling of state and data flows in the application.
- Node.js was used for the backend service.
- Jasmine, Karma, Jest and Puppeteer were used for testing, including end-to-end tests.
- Azure DevOps Server was the target environment for the integration.
For comparable projects, database development, interfaces and data migration are often a central part of the implementation.
Why an Azure DevOps interface makes sense here
An Azure DevOps interface makes sense when information from a line-of-business application needs to be available in the working context of project or development management. The main benefit usually does not lie in an additional screen, but in making existing information available exactly where teams already work with tasks and requirements. This is especially helpful with business-focused applications, as it reduces media discontinuity. Media discontinuity means that information has to be transferred manually between separate systems or maintained in more than one place.
For this kind of project, an extension within the target platform is often the obvious approach. It brings functionality to where users already work instead of forcing them to use a separate access point. If a dedicated service is also built for data exchange, responsibilities can be separated cleanly: the extension handles display and interaction, while the service takes care of the connection to the third-party system, data preparation and technical communication. This separation typically makes maintenance and further development easier.
The direction of data exchange is also important. In many projects, it is not enough just to read data. A bidirectional connection allows information to be transferred in both directions. This is especially relevant when a line-of-business application and a task management system represent the same business context from different perspectives. Work items are work elements such as tasks, requirements or bug reports within Azure DevOps.
Usability also deserves attention. When entries are made within a work item context, short paths and relevant suggestions are often more important than a large number of functions. An AutoSuggest field can help here because it shows possible matches while the user is typing and therefore helps to standardise entries. This typically reduces the risk of unsuitable mappings.
For companies and public sector clients, it is usually worthwhile to decide early on how the solution should be embedded: a standalone application, an integrated extension or a combination of both. As soon as several systems are involved, questions also arise around permissions, data ownership, operations and interface changes. Anyone planning such a project should not leave these points until the end, but address them during the concept phase together with the business side, IT and operations. Depending on the target picture, web applications and portals and interface development are often closely linked in the actual implementation.
How projects with an Azure DevOps interface are typically implemented
With an Azure DevOps interface, a sensible approach usually starts with clarifying the business requirements. The first step is to define which information comes from which system, where it should be displayed and in which direction changes are allowed. This business-level allocation is more important than discussing individual technologies too early. If it is not clear which system is authoritative in which case, conflicts around data status and responsibilities can easily arise later.
This is usually followed by a technical target picture. At this stage, the necessary building blocks are defined: for example, an extension in Azure DevOps, an intermediary service for communication, interfaces for settings, and a concept for logging and error handling. Logging means that technical processes are recorded in a traceable way so that faults and irregularities can be investigated later. In many projects, it also has to be decided early on whether the integration should only read data or also be allowed to write it.
During implementation, a step-by-step approach with short coordination loops between the business side and the technical side is usually recommended. Especially with integrated interfaces, many things only become clear in the actual usage context: which information is really needed, where suggestions are genuinely helpful, and which inputs need safeguards? That is why it often makes sense not only to develop the system connection, but also the user interfaces and checks for typical processes in parallel.
Another important part is quality assurance. In interface projects, it is rarely enough to test individual functions in isolation. What matters is that connected processes are checked across multiple components. End-to-end tests reproduce exactly these kinds of processes and show whether a function is actually usable in interaction. In addition, clear test cases for error scenarios are helpful, for example with incomplete data, missing permissions or unavailable services.
Before go-live, operations and responsibilities should finally be clarified. This includes questions around monitoring, error messages, changes to the target platform, and the routes for support and further development. Here, operations means the technical provision, monitoring and maintenance of a solution in live use. If you would like to assess a similar project, an initial set of requirements can often be structured well through a project check.
Typical pitfalls with interfaces, data and operations
Interface projects rarely fail because of a single function, but more often because of vague assumptions. A typical pitfall is an unclear business allocation of data. If similar information exists in several systems, it must be clearly defined which system provides which data, where changes are allowed and how conflicts are handled. Without these rules, duplicate maintenance, contradictory content or unexpected overwriting can easily arise.
Handling permissions is just as important. Not every person should be allowed to see or change every piece of information, and not every technical component should have the same level of access. That is why such systems need a clear permissions concept. A permissions concept describes which roles are allowed to perform which actions and which data is visible in the process. Especially when connecting to platforms such as Azure DevOps, it should also be checked how identities, technical access and approvals work together.
Another critical point is resilience to change. Target systems, interfaces and data models continue to evolve. If an integration is too tightly coupled to individual details, even small changes can quickly lead to disruption. That is why, in these projects, it makes sense to organise communication through clearly separated components and to think through error scenarios deliberately. These include, for example, incomplete responses, timeouts, entries that no longer exist, or services that are temporarily unavailable.
Data quality is also often underestimated. Suggestion functions, mappings and search fields only work reliably if the underlying data is sufficiently consistent. Otherwise, ambiguous matches or misleading results arise. Anyone planning such functions should therefore think not only about the interface, but also about naming, unique characteristics and maintenance processes.
Finally, operations need to be part of planning from the outset. An interface not only has to be developed, but also run in a traceable way. This includes logging, monitoring, clearly assigned responsibilities and a process for changes. Monitoring means making technical processes and disruptions visible so that action can be taken during operations. If personal data or special legal requirements are involved, these topics should be reviewed early and, if necessary, coordinated with data protection officers or legal advisers. Depending on the project, operation in the Microsoft Cloud may also be relevant for ongoing use.
Frequently asked questions
What do the effort and cost of an Azure DevOps interface depend on?
The effort depends mainly on how many systems are involved, whether data is only read or also written, which interfaces are to be created within the target platform, and how extensive the required quality assurance and operational preparation are. Permissions, error handling and the business clarification of data ownership also have a major impact. For an initial assessment, the cost calculator or a project check based on a short description is suitable.
What is the best way to approach this kind of integration project?
A sensible approach is one that considers the business side, technology and operations together. At the start, data flows, responsibilities and usage contexts should be clarified. Then a technical target picture is developed for the extension, data exchange and interfaces. During implementation, short coordination loops and early quality assurance with realistic processes help. This allows misunderstandings around functions and responsibilities to be identified and corrected at an early stage.
Which risks are especially important in a bidirectional connection?
The main critical risks are contradictory data states, unclear system ownership, insufficiently defined permissions and a lack of handling for error scenarios. With bidirectional connections, it must be clear when data is adopted, changed or deliberately not written. Traceable logs and clear rules for exceptions are just as important. Anyone who clarifies these points too late increases the risk of rework and disruption during live operations.
What role do tests play in an Azure DevOps interface?
Tests are central because several components usually interact here: interface, target platform, intermediary service and business logic. Unit tests alone are often not enough. What matters above all is checking complete processes so that it becomes clear whether the integration works in the actual usage context. In addition, typical problem cases should be covered, such as missing permissions, incomplete data or temporarily unavailable connections between the systems involved.
What needs to be considered from the outset for operations and further development?
Even before go-live, responsibilities, monitoring, logging and the handling of changes to the target platform should be defined. It is also important to determine how errors are identified, assessed and dealt with. If the solution is to be integrated into existing operational processes, clear interfaces are needed between the business side, IT and operations. At ballmüller solutions, we would be happy to discuss in a no-obligation initial meeting what matters most for a similar project.
