Azure Stack Reviews

Our company uses the solution to host and run an application in the cloud. We have 25,000 customers who use our application. 

The solution pairs well with other MS services and saves us a lot of money. 

Overall support needs improvement because they are not agile across services. 

I have been using the solution for three years. 

The solution is stable. 

The word scalability is a misnomer. It is generally said that the cloud has unlimited scalability but that is where we face challenges. When we try to scale the system from one plan to another, our DevOps engineer reports that the system is failing. We have reached out to Microsoft but they have been unable to solve our specific issue so scalability is challenging. 

We had issues scaling from one plan to another and reached out to support. Technical support is not agile across services and has been unable to solve our issue.

Support is rated a five out of ten. 

Neutral

The setup is easy with no challenges but upgrades are complex. We have experienced challenges when upgrading components from one plan to another plan. Setup does not have these challenges. 

We implemented the solution in-house. We slowly started utilizing services but total deployment did not take much time. 

Ongoing maintenance is not a challenge. 

So far, we have not measured ROI.

The solution saves us money but is more costly than other products such as AWS. We have been paying 10 crores for our Azure services. 

We are thinking of moving from Azure to AWS because there are issues scaling the suite of products, support is not optimum, and the solution is more costly than AWS products. 

Before choosing the solution or AWS, it is important to reach out to relevant engagement or sales teams to get product clarity. 

I rate the solution a seven out of ten. 

Azure Data Factory is a great solution for orchestration. 

From a security perspective, there are certain things which could be improved. We have that option of enabling the datacenter which sits on the Azure site. The solution is difficult to manage if this particular feature is disabled. 

I've been working with Azure Stack for nine to 10 years for me.

This is a stable solution. 

This is a scalable solution. 

The initial setup is straightforward if you are familiar with some of the architecture. The complexity may increase if you have a large amount of data that needs to be migrated. 

Azure is reasonably priced compared to Google Cloud, AWS, or some other cloud giants.

You need to focus on what your end goal to achieve and build the system in a way that makes it easy to maintain from a software, perspective, and platform perspective.

I would rate this solution a seven out of ten. 

We are using it in our company and the customer's company as well. So, it works on both sides. For certain development environments, we need to build our internal environment, and we need it for that. Similarly, we need to build the production environment for the customer, and we use it for that.

The beauty of Azure is that most of the features are easily accessible. It is user-friendly. Almost all resources in Azure are very easily accessible. For example, you can access a virtual machine, and you can scale it up. You can go ahead with different infrastructure-as-a-service in Azure for the platform or for the cloud. Different levels of development could be done using it.

It should be improved in terms of integrations. It could be integrated more with external tools. 

We have Azure Purview for governance, but that is for data governance. For code governance, we have to use SonarQube or WhiteSource for vulnerabilities and license management. We would like to have a native code compliance tool.

I have been working with this solution for three years. 

It is absolutely stable.

It is scalable. The resources in Azure are scalable for a smooth transaction. 

Their technical support is very good. They are always easily available when we need them.

Positive

I have been working with different automation tools such as Jenkins. Jenkins is a good tool to start with. Being a DevOps person, I had to go with Azure ADO and Azure DevOps, which basically gives you the view of how DevOps actually works.

It is easy to set up. It takes you minutes to set it up.

Azure has a subscription version. It has a pay-as-you-go subscription with a subscription ID. So, you have your particular subscription with an enterprise agreement. There is a dev-type subscription for development and testing.

The pricing seems pretty reasonable. The pricing could be per resource. For example, you have Databricks, Data Factory, Scaled DB, and Cosmos. You have everything in Azure. They have an Azure pricing calculator that you can use to check the price of every resource. It gives you a proper cost estimation. You can compare the cost and then go for the best resource for your project.

I would definitely advise others to implement it as an infrastructure service only because you get to learn more. You get to explore the code more and know different steps. You can automate more and better. You can get automation done on top of what is already there, which could lead to another invention. 

I would rate it an eight out of ten.

I use a lot of services in Azure.  I have worked with completely isolated environments, building infrastructure from scratch using Terraform, Chef, Puppet, and other such tools.

The Platform as a Service (Paas) environment is the most valuable feature.

The Web App service is very valuable.

It is helpful from a security point of view because we can create our own isolated, private environments that contain virtual networks, and we can put security rules in place. We can also specify application rules, which is something that is also useful.

There are a lot of services in Azure that are not stable.

Azure Messaging services are in need of improvement.

I would like to see better monitoring capability, as we have in Dynatrace and other APM tools. The functionality is there, but it is not as detailed as it is in other tools.

I have about three years of experience with Azure, on and off.

My advice for anybody who is implementing Azure Stack is to start looking into DevOps early. There are a lot of things that can be done using the portal, and people tend to follow this process because it is easy. It's true that this approach may get things done fast, but it will only get you so far. Working with the DevOps capabilities, such as automation with Terraform, should be done sooner rather than later.

Every cloud has its pros and cons.

I would rate this solution a nine out of ten.

The solution is cheap and helps consolidate infrastructure to a converged space compatible with medium customers. 

Azure Stack needs to improve integrations. 

I have been working with the solution for three to four months. 

I rate the tool's stability an eight out of ten. 

I rate Azure Stack's deployment a ten out of ten. My company has one customer for the solution. 

I rate the product's deployment a six out of ten. It took about a month's time to complete. 

I rate the tool's pricing a seven out of ten. 

I rate the solution a seven out of ten. 

We use the analytics side of Azure Stack extensively. I use Azure Stack for advanced analytics, AI machine learning, and business intelligence to report and interpret data. We also use the solution to store our data repositories from a data lake perspective.

The most valuable feature of Azure Stack is its ability to store and process large amounts of data. The analytics side of Azure Stack is pretty influential to our business.

Azure Stack is an expensive product that should be made more cost-effective.

I have been using Azure Stack for five years.

I rate Azure Stack a ten out of ten for stability. Azure Stack is very stable. We just had one glitch in five years, and the glitch was for a couple of hours. So, Azure Stack's stability is very good.

I rate Azure Stack a ten out of ten for scalability. Azure Stack is very scalable. Around 100 IT users are using Azure Stack in my company. Finance engineers are using it for reporting. From a finance perspective, Azure Stack is extensively used by cost accountants.

Fortunately, we used a partner to set up Azure Stack instead of doing it ourselves. It was relatively simple for them to set up the solution. If we had done it ourselves, it would be pretty complex. The partners who set up Azure Stack for us have done it for a number of organizations. It was pretty quick, and it took a matter of weeks to set it up.

Azure Stack definitely gave us a return on investment in my previous organization. My previous organization was a mining organization, and the value we got from the system was improved utilization of fleets. We could monitor and improve fleet utilization, which had a monetary return but was never quantified. We managed monthly to increase the utilization closer to a significant eighty percent from about forty or fifty percent.

Azure Stack has an annual licensing fee, which is very expensive. We pay service costs to the integrator or the partner to support and maintain Azure Stack.

We have a Microsoft Edge device to transfer data between the cloud and on-premise. However, the backing for Azure Stack is purely cloud-based.

The deployment of Azure Stack was done through an integrator. The first step in deploying Azure Stack was to set up the Azure platform in the back end, to put down temporary Edge devices, and then later on, the actual dedicated Edge devices were shipped from Microsoft.

Fortunately, the deployment and maintenance of Azure Sack are done by an integration partner. They maintain it, and we pay them a service level agreement. I don't know what they've got operating in the back end, but a relatively small team of no more than five people keeps it running.

Regarding Azure Stack, I would ask users to be very mindful of what services they consume. It is like a buffet. So the more services you subscribe to, the higher the cost. So, the cost can escalate quite rapidly. There's a lot of convenience, but it comes at a cost.

Overall, I rate Azure Stack an eight out of ten.

We use the solution for data lake and storage. We also use Fabric. We have some applications running in Oracle. We take the data from there and bring it into Azure for storage. We use Synapse Analytics to build the tables. We do the data analysis and data cleansing and visualize it using Power BI.

The product is easy to use. It is fantastic. It's integrated directly with Azure DevOps and Visual Studio. It is easy to integrate the product with other solutions. It makes our AI projects easier. We can use SQL or machine learning.

We face some challenges with database rebuilding.

I have been using the solution for six months.

The product is stable. I rate the stability an eight or nine out of ten. In the software industry, nothing is ten out of ten. Everything has room for improvement.

The product is very flexible and elastic. Around 100 developers use the solution in our organization.

The initial setup is very easy. We can use the cloud infrastructure and the Azure template to deploy the solution. Or else, we can use the GUI and click till the installation is finished. The ease of setup depends on how skillful the person is in deploying the product.

We also use tools like Power BI. The system should be dynamic after the process change. The data and table must be fully responsive dynamically. The rebuilt table command must be scheduled. After that, the statistics must be collected dynamically. Many people working with data management do not know this process and say that Azure Stack has delay issues.

The engineering team in our organization has ten people, including the manager. The machine learning and AI team has 15 people. The database, Oracle, and operating systems teams have 15 people each. I recommend the solution to others. Overall, I rate the product a nine out of ten.

Our primary use cases are computing, data platform along with migrating event-driven architecture. We use a lot of data bricks and data components. From the integration to data, and from the application deployment perspective to the platform as a service.

Azure Stack enhanced the productivity from the developers to testers to infrastructure engineers in the following way:

* Developers and the QA team focused on delivering business values rather than thinking about the build and deployment

* The infrastructure team focused more on automating the infra-build pipelines for different environments in no time 

* Azure Pipelines automated 80% of manual efforts on both the Development and Infra front. 

We have found the Kubernetes version is one of the key components which we are using heavily.

I would like to see the AI side come to one hundred percent in the near future. I would love to see a more reliable SAP improved.

I have been working with Azure Stack for the past seven years.

Azure Stack is highly stable across the globe from my experience.

Azure Stack is extremely scalable across the globe.

One of the best parts of technical support is they are really on top of all the issues. Once an incident has been raised, their team will call our technical engineers and start supporting them immediately. This is one of the major reasons why I have used Azure Stack. Azure Cloud is becoming so popular because in the end, businesses need assurance and they are always on top of it.

We were using an on-premise solution, but you know that an on-premise solution is not scalable with a cloud-based environment.

The initial setup is pretty straightforward. It is a lean, shallow learning curve. They can quickly grasp it and can start working on deployment. The deployment was pretty smooth because we set up the CI/CD pipeline and Azure pipeline, which automatically builds the solution. It does the unit test and performance test, and if everything goes well, it is scheduling the deployments for production quickly.

We have both in-house and third-party teams, depending on the requirements and complexity of the deployment.

The licensing is pay-as-you-go, and Azure also provides a bring-your-own-license. I believe that is a good option if anyone is looking at it and they already have a license. They can get the infrastructure and the provision in a very short time and it will save the existing licenses. 

Different applications will have different licensing needs. It depends on which tool you use. You will then need to secure that license.

We evaluated AWS and Google. It depends on the company and what the best fit is for the organization. If companies have similar requirements, they can follow us, or if they have a different requirement, I believe that Google or AWS might fit their needs as well.

I think that anybody who wants to move on to Azure Stack, needs to assess their requirements, and what business needs they have. I would rate Azure Stack an eight out of ten.