Microsoft Azure DevOps Reviews

I work in a consulting firm responsible for adding, managing, and deploying government projects. We are using Microsoft Azure DevOps in one of the projects for backlog management, test planning, test execution, sprint planning, bug fixes, and enhancement requests. We use the solution for anything related to development testing.

The solution's most valuable features are backlog management, build release pipeline, and testing. They're easy, intuitive, and increase productivity. Usually, if you don't use such a solution, you end up using Excel. Then, you won't have shared documents, and there'll be no single source of growth. Everybody will keep a different document somewhere, and you will spend a lot of effort reconciling the latest status.

Using Microsoft Azure DevOps makes it really easy for us. Anytime you can see how many bugs are open, you can directly get it out of the tool. The solution's reporting is really easy. You can create ad hoc reports based on management requirements. If you are sitting in a meeting and somebody asks you the number of chain requests, bugs, or enhancements, you can create quick queries and show them the status. I think this directly affects productivity.

Microsoft Azure DevOps doesn't have an ITSM tool compared to its competitors. We also use Jira for another project, and Jira supports ITSM or ticketing. Since Microsoft Azure DevOps doesn't have this feature, we have to depend on another solution for service request management for support tickets.

The solution should include ITSM tools and security. DevSecOps are third-party security plug-ins that you can integrate with DevOps. Azure DevOps itself doesn't have anything out of the box. Enabling security so that the solution automatically starts checking things would be a really handy feature.

I have been using Microsoft Azure DevOps for three years.

We haven’t faced any issues with the solution’s stability.

I rate the solution a nine or ten out of ten for stability.

Since it's a SaaS solution, we haven't faced any scalability or performance issues, and we haven't struggled when we had a lot of users. We have gone through a curve. We started with around ten users. At the peak of the project, we had almost 50 users. Since we are in maintenance, we have come down to 10 to 15 users.

We use 100% of Microsoft Azure DevOps for our project. Everything is within Azure DevOps. If anybody says that we need to work on a feature, the first thing we do is create a DevOps item. So, we don't do anything outside DevOps.

The tool provides the features, but we haven't been able to onboard end users. We are a consultancy firm that works with system integrators and also engages with the end client. We have been able to onboard the system integrators, and we are also using it.

However, the end users still prefer sending emails and documents. If you send them a link to run a test script, they won't do it. So, the end users still prefer the old ways, such as emails and documents.

I rate the solution's scalability a nine or ten out of ten.

So far, we haven't faced any issues in terms of technical support. There is good documentation available if you are looking for support for configuration. So, you usually end up resolving your issues yourself. Since this tool is widely used, you can find help online. People are writing content about this solution, and Microsoft itself has good documentation.

On a scale from one to ten, where one is difficult and ten is easy, I rate the solution's initial setup a nine out of ten. The solution's initial setup is pretty easy, and the rollout is pretty quick. You can enable it and then keep on modifying and updating it.

It took us less than a week to deploy Azure DevOps. Since we were using a cloud environment, there was no infrastructure requirement. We went on Azure DevOps, created an organization, and then created a project. Inside the project, we selected the type of project.

There are different templates that you can follow, including the CMM-level approach or the basic approach. We selected one of the templates and copied the template. We made some modifications to the template for the project because that template is used for governing steps.

Then, we created depositories, which is pretty quick. In a week's time, we were up and running with backlog management. It took a couple of weeks to complete the automated build and deployment pipelines.

We needed one person to set up the project and one knowledgeable about the build and deployment pipelines. If you have a person who knows how to do the pipelines, you can also configure the project. So, one person is good enough to set up the entire project.

We have seen a return on investment with Microsoft Azure DevOps in terms of productivity because it really helps with the amount of time you need to consolidate reporting and planning. The status is always up to date, and the deployment is very streamlined. You can do the entire thing in Excel, but the overhead would be too much, and you would lose out on things. So, team synchronization and productivity are the return on investment with the solution.

I rate the solution’s return on investment a nine out of ten.

The solution's pricing is pretty cheap. The best part of the Azure DevOps and SaaS model is that there's no upfront cost. The tool has a per-user license. It's free for five users, and there is a price above five users. The solution's deployment and licensing costs are very cheap compared to those of its competitors.

The solution's pricing is not fixed. The solution's testing license is $50 per user. It's $15 for normal users who use backlog management. We have two people from the test team and seven from the other team. This is in maintenance.

Since we had a big testing team, we had 15 people in testing and 30 people in backlog management during peak time. You can say it has a 70:30 ratio. Most of the cost is in testing, and the backlog management is really cheap.

On a scale from one to ten, where one is cheap and ten is expensive, I rate the solution's pricing a three out of ten.

Before choosing Microsoft Azure DevOps, we evaluated other options like Jira and HP ALM. Jira is good at ITSM and backlog management, but it is dependent on third-party tools for pipeline deployment.

It's too complex to do product management with HP ALM. It's a good ITSM tool, but the process it follows for product management is very stringent, which is not very flexible for sprint planning. There is too much overhead in HP ALM to do quick sprints.

We are working with the SaaS (Software as a Service) version of the solution, which is on the cloud. Since Microsoft provides the latest upgrades and patches, it should be the latest version.

We start by creating backlog items. Whenever we get a requirement, we log it into Azure DevOps and plan the backlog. The backlog includes what features we need to develop and what tasks we need to assign to each developer. Each developer is part of the DevOps. Once you have created that backlog, we assign it to different developers based on a sprint.

Suppose we are going to run a four-week development cycle. So, we plan the development cycle, pick a few items from the backlog, assign them to that sprint, assign them to the developer, and then manage the execution of that development cycle. Once that's completed, we will transfer it to the test team so they can test it in Azure DevOps.

They have test scripts that are documented in Azure DevOps. They run tests, record videos, and capture screenshots in Azure DevOps. After the test verification, we deploy the solution. In addition to backlog management and product management, we use Azure DevOps for build and release deployment. We don't manually go and build the software.

Our code repository is also part of DevOps. As soon as we check in the new code, Azure DevOps automatically builds the solution and then deploys it in the development environment. Once it's confirmed, the same is deployed to quality and production. We use the solution to do everything end to end, other than ITSM.

Specifically, Azure DevOps is integrated with deployment for us. When we manually deploy a solution, it's prone to errors. We use Azure for website deployment and Azure DevOps for Apple app or Google app deployment.

As soon as the approval is done in Azure DevOps, apps are automatically published. It will publish an app on the Google Play Store, Apple Play Store, and Azure, which we use for web hosting. So, it is integrated with web hosting, Apple Store, and Google Play Store.

The solution does not really need any maintenance. Once you enable the testing solution, you can start creating your test plans and test scripts directly. Every time you do a deployment, you just need to run those test scripts, which is pretty easy. It's more about creating your test script than configuring the tool. Even if I do it in Excel, I need to spend time on that.

The solution's analytics and reporting are pretty easy. We use them very often on an ad hoc basis whenever we discuss and plan what to deploy and what the next steps are. It's pretty easy, and we haven't faced an issue where we weren't able to take out any reports just by doing it on an ad hoc basis. It's pretty easy, and you don't need to write code or anything.

The tool is pretty flexible and easy to use. I suggest starting with the cloud version because you can create your project easily. Since it's free for five users, organizations with budget constraints can start playing with limited users. I would say start with the cloud-based version and start playing with it. Once you get comfortable with it, you can expand it for other projects. The tool serves a wide variety of use cases.

The biggest key trend these days is fast deployments or quick releases. Given how competitive the market has become, you need to keep on adding features to your product. Azure DevOps supports the sprint methodology, which supports fast deployment.

On top of that, it supports automated build release deployment. That was a headache when I started working. Sometimes, you forget a file when deploying in production, and your system will go down. The solution's features support the latest fast or quick deployment trend.

Overall, I rate the solution a seven out of ten.

Azure DevOps helps us automate building, testing, and deploying our code through CI/CD pipelines.

Valuable features for project management and tracking in Azure DevOps include a portal displaying test results, check-in/check-out activity, and developer/tester productivity. This portal provides options to view development and testing velocity effectively.

I don't see any major need for improvement in Azure DevOps. The only downside is that the deployment could be a little challenging but it is manageable.

I have been using Microsoft Azure DevOps for the last four years.

We have not had any stability issues with the solution.

Azure DevOps is highly scalable and fairly straightforward to scale as needed.

As a Microsoft partner, my clients range from medium to large organizations, with a focus on larger clients. However, I also serve some smaller life insurance companies.

I have received excellent tech support from Microsoft and I would rate them as a ten out of ten.

Positive

I have used Amazon and Micro Focus products in addition to Microsoft offerings, though the majority of my work has been with Microsoft. The main difference is in the documentation and available tech support, where Microsoft excelled with abundant resources compared to Amazon and Micro Focus.

Deploying Azure DevOps pipelines can be complex, but it is straightforward with careful planning and step-by-step execution. Challenges may arise from the multitude of options and design considerations, requiring expertise or guidance from experienced professionals. While there is ample learning material available online, structured examples could enhance usability by providing clearer guidance amidst the vast amount of documentation.

Microsoft's licensing and pricing for Azure DevOps are competitive within the market. While it may be expensive, it is almost the same as the pricing for comparable products in the industry. I would rate the pricing as a six out of ten in terms of costliness.

I prefer Azure DevOps over other solutions. I appreciate its intuitive YAML-based definition language and find its object model and configuration more intuitive than other systems.

We used Azure DevOps to collaborate on migrating a legacy banking application from a mainframe to a Windows platform. The project aimed to demonstrate the feasibility of migrating legacy banking systems.

Azure Repos improves code version control and collaboration by providing a centralized repository for source code. It enables multiple developers to work on the same project, track revision history, and merge code changes efficiently, essential for collaborative development environments.

Using Azure Test Plans significantly improves software quality by enabling structured test planning and automation. This ensures that code is thoroughly tested, enhancing solution integrity and mitigating risks associated with code implementation.

Integrating Azure DevOps with other tools and services is straightforward and intuitive. I found it easy to integrate monitoring and other tools with Azure DevOps.

Before implementing Microsoft Azure DevOps, new users should be aware that it is a complex software requiring careful planning and design. Conduct a proof of concept to ensure it meets your needs, and engage specialists to design your environment accordingly. Additionally, be prepared for a cultural shift in utilizing the tool effectively.

Overall, I would rate Azure DevOps as a nine out of ten. I always recommend it to all of my customers.

We use Microsoft Azure DevOps as a code repository, for task and work management, software tests, and documentation.

The most valuable feature of the solution is task management.

The solution could be made faster because it can be a little unnerving to browse through too many pages and press too many buttons.

I have been using Microsoft Azure DevOps for six years.

Microsoft Azure DevOps is a stable solution.

I rate the solution ten out of ten for stability.

Microsoft Azure DevOps is a scalable solution. In my current company, around 30 users are using the solution. In my previous organization, more than 100 users were using Microsoft Azure DevOps.

The solution makes you faster. You can organize your work in an easy and shared way. You can configure different types of access to allow some people just to read and to be able to modify some things. Since the solution gives you all the benefits of Git, you have a commit history.

We have an MPN subscription for Microsoft Azure DevOps, and it's all included.

Microsoft Azure DevOps is deployed on the cloud in our organization. The product supports our agile project management practices very well. We can configure a process, and it would give you some different types of tasks, like the epics feature, user stories, and tasks. We need very little staff for the solution's deployment and maintenance.

For source control, we use Git repositories that are perfectly integrated into our IDE, Visual Studio 2022. Everything is available, and we can create or pull requests from Microsoft Azure DevOps. We can also manage, reject, and accept the requests. I would recommend the solution to other users.

Using Azure Boards for tracking work items and bugs is clear and visually appealing. It's easy to add tasks. In our current configuration, every time I go inside the tasks and go back using the browser, it doesn't redirect me to Azure Boards, even if I am coming from there.

Since the solution is available as Software as a Service (SaaS), you won't need to do any setup, installation management, etc. It's very straightforward, and there is no particular study required. To a certain degree, the solution is configurable and can suit different use cases. It is working very well in terms of Git repositories. Microsoft Azure DevOps is also very accessible.

You can define tasks using Microsoft Azure DevOps and then reference them when you write a commit message or push code. You can open a previous commit in the browser from Visual Studio, and you can use DevOps to compare some files or to check commits done by Visual Studio. So, the solution is perfectly integrated.

Overall, I rate the solution a nine out of ten.

As an architect, I use Azure DevOps for our projects, primarily focusing on setting up CI/CD workflows. We track tasks and maintain timesheets on Azure DevOps. I collaborate with project managers to define deployment pipelines and ensure smooth deployment processes. While Azure DevOps serves as our project management tool, my main role involves architecting deployment strategies and working closely with the project management team to implement them effectively.

Switching to Azure DevOps initially posed challenges, but as our team became familiar with it, we found it greatly improved our daily operations and productivity. Its streamlined processes made our development workflow more efficient.

What I like most about Azure DevOps is how easy it is to manage projects and control deployments. Once configured, team members can manage deployments if they have permissions. Additionally, the reports feature helps generate itemized invoices for the services provided to clients, which is valuable for billing purposes.

One potential enhancement in Azure DevOps could be integrating more customizable reporting features, particularly for Power BI integration, to provide better insights into project data.

I have been working with Azure DevOps for five years.

Azure DevOps is quite stable.

Azure DevOps is scalable and can be used in distributed environments and for different tenants.

Before Azure DevOps, we used various tools like Jira. We decided to switch to Azure DevOps to have all services unified in one place, simplifying management. The main advantage is having everything centralized.

The initial setup process for Azure DevOps was somewhat complex, requiring documentation and technical support. Migration from previous tools and configuring project guidelines were involved. The deployment strategy involved creating directories, and repositories, setting up environments, and assigning access rights, following a predefined plan. Initially, deployment took about three to four hours, but now, for regular deployments, it typically takes 30 minutes to an hour, depending on project stability. 

For the initial deployment of Azure DevOps, gathering information from various resources is essential, but typically, only one person is needed to handle deployment through the web interface. Maintenance involves regular tasks like backups and occasional updates, requiring minimal effort.

The pricing for Azure DevOps may be higher compared to other tools, but overall, I find it reasonable.

In my experience, integrating reporting and analytics into Azure DevOps enhances project visibility and decision-making processes. We can easily generate reports online to track project status and task progress. Additionally, I have integrated Azure DevOps with other tools like SQL Server, enabling us to gather data for generating Power BI reports.

The most beneficial integrations with Azure DevOps are integration with other project management tools for seamless collaboration and APIs for importing data into applications. Additionally, integrating with personal models allows for enhanced analytics and reporting on resource performance and other project metrics.

The source control management features of Azure DevOps, particularly Azure Repos, are highly effective. We can easily track and manage code changes, commit updates, and maintain a complete history of changes for our applications.

I would recommend Azure DevOps to others. Before choosing Azure DevOps, I would advise considering the need for better project management, consolidation of management tools, and streamlining deployment processes.

Overall, I would rate Azure DevOps as an eight out of ten.

We integrate the report pipelines with Azure pipelines, automating the creation of pipelines and initiating deployments automatically. Our process includes continuous integration, deployment, and branching strategies.

The tool's most efficient feature is the integration of its services in one place. It is an easy-to-use product that improves productivity. Microsoft Azure DevOps is also user-friendly. Its documentation is clear and can be found on Google. 

Microsoft Azure DevOps should create some training materials. 

I have been using the product for more than four years. 

Microsoft Azure DevOps is a stable solution. 

The product is scalable. 

I haven't contacted the technical support team yet. 

I rate Microsoft Azure DevOps a nine out of ten. 

We use the solution mostly for automation, deployment, generating build, and creating virtual machines.

The build and release management features are valuable. The deployment packages are also valuable.

Requirements traceability must be customizable. It is very difficult to integrate the product with third-party tools. It is all proprietary. It's not very customizable. It should be managed better. The product is not sufficient to generate documentation automatically.

I have been using the solution for three to four years.

The tool’s stability is good. I rate the stability a nine out of ten.

We have around 60 users in our organization.

The turnaround time is high.

Positive

My team set up the solution. It took one and a half years to stabilize.

The tool helps us save reasonably.

The solution is expensive.

Overall, I rate the product a seven out of ten.

My clients use Azure DevOps primarily for managing code deployment pipelines. We follow a structured process of pushing code from the development environment to testing and then to production, and Azure DevOps is crucial in this workflow. We leverage its version control capabilities to maintain and track our codebase efficiently. Additionally, we make use of its dashboard service to monitor and manage employee hours, helping us keep a close eye on project timelines and resource allocation.

The most valuable aspect of Azure DevOps for me is its robust version control functionality, which is critical for our workflow. I find it particularly useful how easy it is to automate pipelines. When we push code changes, the system automatically runs the entire pipeline, and the clear visualization of logs is a great benefit. This feature allows us to quickly pinpoint issues and understand what went wrong with our processes or tools, making troubleshooting much more efficient.

While there is always room for improvement, I don't have any urgent issues or specific feature requests right now. I'm content with Azure DevOps as it is. Its functions are standard and easy to use for those familiar with such tools. However, the only thing that could be improved is the stability of the solution.

I have been using Microsoft Azure DevOps for two months.

The solution is generally stable but not entirely issue-free. While problems do occur occasionally, they have become less frequent, occurring around six times less often than before. For example, a recent issue occurred when a dependency was updated, causing the pipeline to crash. However, with the help of logs and troubleshooting, we were able to identify and resolve the problem by making adjustments to the Docker file. I would rate the stability as an eight out of ten. There is room for improvement in terms of stability, as there are occasional issues that require manual intervention to address. While progress has been made, there is a desire to achieve a level of stability where network removal is not necessary in the first place.

Azure DevOps is highly scalable and works effectively even for large-scale projects. It can handle the demands of extensive engineering work and is generally robust in terms of scalability.

The technical support is good and quite responsive.

I have experience with using GitLab. Comparing GitLab and Azure DevOps, GitLab excels in functionality and offers excellent integration capabilities with Azure DevOps. However, Azure DevOps has a more user-friendly UI. The choice between the two depends on specific project needs and preferences.

The installation of Azure DevOps is straightforward because it is a web-based platform. You don't need to create solutions or go through complex setup procedures, making it a user-friendly option. Maintenance for Azure DevOps is minimal, especially if you have automated processes in place. If your solution uses Docker and you have set up automated updates on Docker Hub, the environment can essentially upgrade itself without much proactive maintenance. However, if issues arise, you can make adjustments to the configurations as needed, allowing for a more reactive approach to maintenance.

My advice to those looking to use Azure DevOps would be to make good use of the documentation available on their website. It is a valuable resource that can help answer questions and provide clarity on various aspects of the platform. Overall, I would rate Microsoft Azure DevOps as an eight out of ten.

We use Azure Repos for most things. It integrates with Azure Boards. 

It's good for the ticketing part and for saving the Azure Repos. We use Terraform.

Azure DevOps integrations with other tools have streamlined our workflows.

The centralized code repository is a major part. We store code and collaborate, and everyone can see what others are doing and what code they're adding. We can review the code and make changes if needed. 

The same code used for implementation is visible to other team members, allowing them to contribute. Additionally, the Azure board interface helps create tickets and assign workloads, keeping everyone informed about progress.

Azure DevOps is effective for repository management and code collaboration. We can create branches, differentiate between code versions, save and review code later, get PR approvals, and more. All these features are valuable.

There is room for improvement in customer service and support. Sometimes, I create a ticket for a specific issue, and they tell me it's not relevant to that ticket. 

They ask me to create a different one, basically saying they can't help with the current one. It's a communication gap. We're troubleshooting, so we don't always know the exact issue. They should let us stick with the same ticket and maybe assign a different engineer if needed. These areas definitely need improvement.

Another area is the Azure monitoring agent for Citrix machines. There's room for improvement there too.

I have been using this solution for four months. 

It's a very refined tool from Microsoft, so there haven't been any problems with stability for us.

Scalability is great. We can add as much code as we need, and the deployed code volume can also be scaled. 

The scalability comes in the sense of creating virtual machines using IaaS, which works really well within the suite.

I'm on the DevOps team, and around 25 to 30 of us in the team itself use Azure DevOps. So, overall, there are a lot of end users in my company. 

The customer service and support are good, but there are some issues when we're doing a deployment and need clarification. They're not very helpful there. Maybe there's a separate team for that. 

But in general, for project creation and work, after everything is deployed, Microsoft can help with a general support ticket. But they won't help with the planning phase. They're more like big management. So, there's a gap in the assistance we need for new project deployments.

Neutral

For ticketing, we use ServiceNow. Both solve the same problem in that regard. And for code repositories, we use GitHub. So, it's not an all-in-one solution like Azure DevOps, which has a lot of features bundled together.

Since Azure DevOps offers everything in one place, it feels more convenient. It does a bit of everything. So it's a good option because it replaces various individual tools and provides all their services in one package.

It is very straightforward. It was easy for me to deploy. 

The deployment depends on the workloads we have. For example, deployment for setting up Azure DevOps or the application itself isn't the same.

It takes a lot of time to get the setup ready. 

Regarding setup, connecting it to Visual Studio was smooth on both Mac and Windows. Integrations are quite good. 

Deployments depend on the workload. We create virtual machines using Terraform, so it's usually fast, especially when downloading repos from Azure Repos.

Smaller tasks like deploying a prepared code for a single service wouldn't require additional engineers. Many workflows can be handled by one person. 

Architecture is different, as the architect designs the infrastructure, which needs to be followed.

ROI depends on the cost optimization we can achieve. Sometimes, clients use heavier resources than they actually need. So it depends. 

If the environment is fully optimized, there can be significant savings, leading to a good return on investment. But they would also be paying for partner management. 

For Microsoft, it can get expensive when you need heavy-duty machines. But compared to on-premises solutions or the hardware we used before, it's still much more convenient for us. So even though it can be pricey, the benefits outweigh the cost in our case.

Maybe some more flexible payment options could improve the pricing. 

Overall, I would rate the solution an eight out of ten. 

We rely on Azure DevOps for our CI/CD workflows. We use it extensively in our daily operations, particularly for deployments and other IT tasks. We use it for project management and collaboration throughout our software development lifecycle. Our task is to determine if the workflow within our networks is integrated with our ITSM or focused management, enabling us to initiate tracking for these tasks.

The reporting and analytics features of Azure DevOps significantly improve our project visibility and decision-making process. This includes a reporting dashboard and integrated monitoring capabilities. We utilize Prometheus and other tools for monitoring, and Azure DevOps seamlessly integrates with various solutions, ensuring flexibility in usage while maintaining consistent concepts.

Azure DevOps has significantly enhanced the productivity and efficiency of our development team, especially considering our high volume of daily deployments. Developers find it invaluable for tracking changes, generating logs, and creating reports effortlessly. Automation of deployments is particularly crucial for us, given our extensive environment with over two thousand fifty-three instances. The most significant benefit is the reduction in time and effort, leading to a decrease in human errors.

Integrating our pipeline with Jenkins is seamless, particularly for code management using Git repositories. Additionally, for cloud-based applications, we already have native network integration with Azure Active Directory.

As we frequently deploy numerous applications, ensuring the protection and fine-tuning of these applications once they are in production is crucial for minimizing downtime and enhancing availability.

The features of Azure Repos that we find most impactful are those related to source control management within our DevOps code management processes.

If the pipeline isn't properly configured, it indicates a potential gap in the team's understanding of DevOps principles, which can lead to deployment issues. Incorporating security tools directly into DevOps is crucial, as many existing DevOps solutions lack robust security features.

I have been working with it for nine years.

We encountered certain downtime.

It doesn't provide the level of scalability as Jenkins provides. We have approximately forty users in our company. I would rate it six out of ten.

The technical support is relatively satisfactory. I would rate it five out of ten.

Neutral

Deploying GitLab or Jenkins is much easier and involves fewer requirements. Integration with various tools is readily available, especially with Jenkins Blue Ocean, which offers extensive enterprise integrations. When it comes to Azure DevOps, integration with non-Microsoft tools may pose challenges.

For any Microsoft product, Active Directory is a prerequisite, and ensuring its availability on the Azure Standard and Database is essential. This configuration is necessary for setting up the application effectively.

Maintenance is essential due to occasional exclusivity with business connectivity, leading to various issues such as data rate problems and database availability issues.

When compared to other vendors, it is cheaper.

I would recommend other tools like GitLab or Jenkins. Overall, I would rate it seven out of ten.

We are a team of 12 consultants specializing in this solution. We have customers with approximately 200 users each, and we have been able to reduce our customers' deployment time by using Azure DevOps or TFS.

Additionally, our customers have been able to measure and improve their development process, by generating some KPI's as 'average defect fixing time', 'effort deviation', and 'velocity' among others, due to the continuous use of Azure DevOps.

The integration of the whole cycle is the main strength of the tool. If I want to control the cycle with other tools on the market, I would have to use several tools. However, this is not the case with Azure DevOps or TFS.

The ability to extend work items was more flexible than it is now. Talking version control, one of our customers had some issues because they found it very difficult to manage more than 1000 repositories for one team project.

Additionally, I would like to see more powerful dashboards that could be used instead of Power BI. Azure DevOps or TFS does not support graphics from hierarchy queries. It would be powerful to have because some customers don't have Power BI licenses.

We have been working with Azure DevOps or TFS for the past 11 years.

It is totally stable.

The documentation is good and thus, we have not had to contact technical support very often. However, when we have escalated an issue to technical support, they have been good.

The initial setup can be straightforward if the consultant is knowledgeable.

The pricing is very competitive because of the whole development cycle by Azure DevOps. You don't have to buy and integrate several different tools.

Azure DevOps or TFS is a very good tool for development teams. It's easy to use. However, you would need the help of a consultant who has a lot of experience with the tool. This is because the tool let's you do things in many ways, but not all of them will be the right way to do it. It would be better to invest in the services of an experienced consultant.

Overall, I would rate TFS or Azure DevOps at nine out of ten.