Microsoft Azure DevOps Reviews

What I like the most is the DevOps Boards. It's easy to create a hierarchical project structure, assign tasks to people, and then track their tasks.

I also like the scheduling functionality.

I would like to automate notifications on sprint planning. When we are getting to the end of sprint planning, we would be automatically notified. 

Also, it would be nice to have a percentage complete. For example, if a task is in progress, how much of it is complete, how much is left outstanding. I'd like that to be something that the assignee fills in and that automatically reports back to me.

I have been using Microsoft Azure DevOps for six months.

It's a stable solution.

Microsoft Azure DevOps is scalable.

I have not contacted technical support.

Previously, I used Microsoft Project. We chose to use Microsoft Azure DevOps because I needed something that my stakeholders could access.

The initial setup was very straightforward.

The time it takes to deploy is dependent on the type of deployment. Deployment of software, or deployment of the project into the software? 

It took me a week to deploy the project into the software. It's approximately 800 PBIs.

Before implementing Microsoft Azure DevOps, I would suggest doing your research on how to configure it. It is a product that I recommend

I would rate this solution 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. 

A common use case of Microsoft Azure DevOps is the use of work items and then connecting them to Git repositories and their updates. It is primarily used for item and code management.

The work items option is incredibly flexible.

There are multiple add-ons available.

It is easy to use.

The entry point is adequate.

When you compare with Jira, there is a lack of progress features.

I would like to be able to customize the product using add-ons or a similar mechanism.

Scalability is an area where they could advance and make changes.

Unfortunately, managing users in Azure is a very complicated issue. We also have a problem with one of their other tools, which is Teams. The Team messaging has caused us some trouble because they have what is called organization, in addition to the users, but it doesn't work very well.

Technical support needs improvement.

I would like to see scalability, dashboards, KPIs, measurements, and some visual management assistance improved in the next release.

I have been working with Microsoft Azure DevOps for one year.

We are using the latest version.

Microsoft Azure DevOps is a stable product.

This solution is used by 20 people in our organization.

It appears to be simple, but based on the work items and project management aspects, I believe there are few options for scaling it up in terms of dashboards and KPIs.

I contacted technical support about managing users in Azure. Unfortunately, they were able to resolve this issue for us.

We tried several times and we did not get the answer we expected to get.

I use Jira as well as TFS.

The initial setup is straightforward. It is simple to install.

Other than the initial setup, it does not require any maintenance.

It was implemented internally.

The majority of the components are reasonably priced. Testing is one of the more expensive components. When you compare it, it is approximately $3 per month for the other components and $45 or $50 for the Testing component. It costs ten times as much as the other components.

I would recommend this solution to others who may be interested in using it.

I would rate Microsoft Azure DevOps a seven out of ten.

I took a part-time job doing a mentorship to guide the students on how to use cloud computing on the AW and Azure cloud resources. For that project, we go through each and every service on cloud computing that is part of the service platform. The new technology is called server-less technology. The goal of the mentorships is showing students how to fundamentally use these resources and explain the advantages and disadvantages of cloud computing over on-premises solutions.  

Currently, I do not know if there is really a single feature that stands out as the most valuable. If you consider our use case and that we were using Azure essentially as a teaching tool, it was the tool itself that was valuable.  

I do not have in-depth experience with Microsoft Azure, but it is like other services such as AWS. Currently, the number of services are increasing on Azure actually at a faster rate than with Google Cloud. If you are working with Microsoft products like Office 365 the best cloud solution would be on Azure services. The cost is also better than AWS.  

Microsoft has also built an association with other cloud products for helping to migrate your licenses to the cloud. This works out well if you have a substantial investment in licensing for Microsoft products on-premises. Being able to bring that license to the cloud is a good transitionary solution.  

I have been running reports on the availability of the major competitors in the cloud services to use as a demonstration in webinars and comparison of services. The most available solution on the cloud in user availability by minutes is Google Cloud. Google is the number one solution and the second one is AWS. The third one is Microsoft Azure.  

Compared to the availability of the other two major cloud solutions, Microsoft Azure needs to make an improvement in their availability. This report suggests that the Azure team needs to do some major changes to match the availability of the other services and make the product more competitive.  

In DevOps (software development and IT operations), server-less architecture and QNX platform integrations are things that need to be added to Azure. Currently, I am not sure that this is the case. But previously, I have had experience trying to use Azure with service and integration with the QNX platform and it is not as good as Google Cloud. Azure has improved its current set of data services on the cloud. But Google Cloud is doing more right now to bring those technologies and make them available to developers or enterprise solutions. So, QNX integration needs polishing.  

We have been using the product for only the last two months.

I have not experienced any issues with stability.  

In general, I have seen no real issues with scalability. It is a cloud platform and scalability should usually be available on demand.  

I used Google Cloud on one of my previous projects but currently, we are using the on-premise solution. So we are hosting everything locally on-premises. We do not have any current cloud provider for the business as a whole. We are using AWS for security and backup for the production environment but mostly we rely on the on-premise solutions at the moment.  

We use the S3 compute instance of AWS only. We do not use any other AWS services. We just use VM's that we create on the S3 instance.  

Setup is not so much of an issue as the product is on the cloud. The services are essentially on demand for the product. What you do with the services is what may take more time and consideration.  

I am not comfortable sharing the details of cost because there may be different pricing schemes, but compared to AWS, Azure is less expensive. So in the pricing in this class of services, Azure is good. It can work well for small to medium enterprises. But this solution is may not be good for those who are not enterprise-level users. Small cloud computing providers have better pricing than the bigger cloud computing providers like AWS and Microsoft Azure and may be a better choice for non-enterprise use.  

Still, Azure is priced better than AWS. Price may not be the only thing to consider.  

I have had the opportunity to use a variety of different solutions and it has not really come down to a situation where one is replaced with another. There is an ongoing evaluation of the products as newer technology including the most well known, like AW, Google, and Azure. AWS is the most expensive cloud hosting. In my estimation, that is the best product right now, but things are changing quickly.  

On a scale from one to ten where one is the worst and ten is the best, I would rate Microsoft Azure DevOps as an eight-out-of-ten. It is not quite up to the level of other offerings in some ways but it is improving all the time.  

The plugins are the biggest thing. I like how Visual Studio is designed as a shell application, and then the plugins make it do what you want it to do.

Microsoft could improve Visual Studio by making it easier to find the plugins you need to get your job done. Maybe they could implement an AI search instead of a simple tech search. Sometimes, people come up with a catchy name for something, and you don't know how it's spelled. For example, a developer might come up with a packet wizard and spell weird, like P-A-K-I-T.

I've been working with Microsoft Visual Studio since it first came out in 1997, so about 24 years.

Visual Studio is very stable.

I don't think scale applies to Visual Studio because it's a developer tool. And I haven't had a lot of experience with massive projects where multiple teams are working on the same source code. I've only worked on a team of a few people.

I think support is probably pretty decent, but I've never had to use it. I just look at Visual Studio's source code to troubleshoot it. 

The setup is pretty straightforward. Visual Studio runs pretty fast.

I'd say Visual Studio is a nine out of 10. If you're thinking about adopting Visual Studio, research the kind of functionality you need. The nice thing about Visual Studio Code is that it's a modular design. So if you're working on a strange language that has a different syntax, you can just get a plugin that'll format your code for you based on the language it's in.

We are using Microsoft Azure DevOps for the repository for Git.

We are migrating to the on-premise version of GitLab. We do not use any advanced tools. We are planning to do more with DevOps and are evaluating other tools to incorporate in our process of development.

We use the functionality of Git for our development. We do not use the other tools that are integrated into the DevOps. We use it because we have an enterprise agreement with Microsoft.

Microsoft Azure DevOps integrates well with other components, such as Synapse, which is a data warehouse tool of Azure. It is a framework platform for BI and integrated with other tools, such as Power BI.

I have been using Microsoft Azure DevOps for approximately three years.

The solution is stable.

There are other solutions available that are open source and free, such as GitLab.

We are switching from Microsoft Azure DevOps to GitLab because we have the infrastructure and we are migrating part of our service to on-premise which includes our VMs. We decided to install GitLab because it is open-source, free, we can install it in-house, and we have some members that have experience with that product. We are now starting to migrate some projects.

I would recommend this solution to companies that use the incorporated services provided, it is very good to adapt as a DevOps tool.

I have not used the solution extensively enough to give the solution a higher rating.

I rate Microsoft Azure DevOps an eight out of ten.

We are using the tools in this solution mostly for planning our software projects by implementing Scrum. We use repositories, and create timelines for continuous deployments and integrations.

The reports have been most valuable. We have created some dashboards allowing us to be able to check our teams, their progress, and mission plans.

Microsoft Azure DevOps could improve by providing better integration with other tools. It is very easy to integrate with Azure, but when you need to integrate with other solutions, such as Amazon Web Services, is difficult.

I have been using this solution within the past 12 months.

Microsoft Azure DevOps is highly stable.

The support from Microsoft is great, if we need to solve some problems with Azure they are ready to help us. The support has been excellent.

Previously we used Visual Studio but then we changed some of our repositories for our projects to the cloud and now we use Microsoft Azure DevOps.

The solution is easy to install and it took us three months to implement. This includes the support for our teams and for them to come up with their strategy to manage our projects.

My advice to others wanting to implement this solution is they need to think about their inter-process before moving to this kind of solution. In many cases, we start to configure some projects using the tools, but if we do not have our roadmap and do not define our goals, we cannot take full advantage of the tools. There should be a lot of planning before moving to the projects.

I rate Microsoft Azure DevOps a nine out of ten.

We are an agile shop. We use it to build our sprints and for our user stories. We have everything aligned in epics and we track all of our requirements and our velocity.

We are still getting used to it and there is a lot that I haven't looked at yet. For me, at this early stage, the most valuable features are the basic functionality. This includes the ability to build and customize sprints.

I like the tracking and that we can monitor our velocity.

It took a bit longer to figure out, but now that we have, it's easy to use.

When converting to DevOps, it was difficult to map.

I have been using Microsoft Azure DevOps since October 2020 when we converted from Jira to DevOps.

It's stable now that it is up and running. It was a steep learning curve, but not the fault of DevOps. We did not put together adequate training.

Others in the company may have scaled this solution. I have not explored this area yet.

I have not contacted technical support.

Previously, we were using Jira. Now that DevOps is running, I find that for what I am doing, does the same things as Jira. The main difference is in naming convention and layout.

I wasn't part of the conversion from Jira to DevOps but it was a painful process. We lost data, things didn't map. My Scrum Master who used it was not happy with the process.

I would rate Microsoft Azure DevOps and eight out of ten.