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AlanGulle
R&D Lead at Vesuvio Lab
Real User
Top 10
Highly secure, fully integrated, and helpful support
Pros and Cons
  • "The application services are the most valuable in Microsoft Azure. I'm not using them directly but I am using the function and the web applications. I don't need to pay a lot for the maintenance. I do not need to have a DevOps employee."
  • "The documentation can be outdated and is not as clear in Microsoft Azure as it is in AWS or Google."

What is our primary use case?

We deploy all of our projects in Microsoft Azure. We are a startup company. We have been since the beginning deploying our code in Azure cloud. We are actively using the full capabilities of two cloud services.

What is most valuable?

The application services are the most valuable in Microsoft Azure. I'm not using them directly but I am using the function and the web applications. I don't need to pay a lot for the maintenance. I do not need to have a DevOps employee. 

I am familiar with Google, and everything I was doing was in Google. I had to control my back proxies and do my own configuration files. With Microsoft Azure, it is all easy.

What needs improvement?

The documentation can be outdated and is not as clear in Microsoft Azure as it is in AWS or Google.

For how long have I used the solution?

I have been using Microsoft Azure for approximately four years.

What do I think about the stability of the solution?

The solution is stable. 

It's easy to monitor, there's no problem with the code in their development. We had some stability issues, it was not the fault of Microsoft Azure, but it was the mistakes of the developers. It was easy to monitor it in Azure.

What do I think about the scalability of the solution?

Microsoft Azure is highly scalable.

On only one web application I created with one service plan I can connect 10  projects. Imagine one machine can run 10 projects at the same time because whatever the project has more requests or demands, it will scale its machines and auto-scale down. This is why it makes it affordable. I can control which project is demanding more computing power or storage power.

We have approximately 50 people using this solution in my organization. It is mainly back and front developers.

We are drastically increasing our usage because last year we were running 13 projects, and now 19 projects. In 2022 we are trying to double our team.

How are customer service and support?

The support could improve. For example, Python is needed for Microsoft Azure,  and the lack of documentation for the community is a problem. If you are a Python developer Microsoft Azure released an update to Python at the end of May 2021. Theoretically, I can use it with Python, but if I have a problem I need to call a Microsoft engineer to solve it. It takes some time. However, I did receive very good support from the Microsoft engineers to make my system production-ready, but language support for Python and other languages is coming late.

Which solution did I use previously and why did I switch?

I have used other solutions, such as Google and AWS.

When comparing these solutions to Microsoft Azure, AWS has better documentation, Google's cognitive services, and predictions give better results, and Microsoft Azure has the best UI. If you want to reach the database of Google, there is no such SQL manager UI. Microsoft Azure UI is easy to use and has great tools.

How was the initial setup?

The deployment's easy and the pipelines are easy from the Azure DevOps, everything is integrated and it has good security. The overall setup is extremely easy.

What about the implementation team?

We have a team in London that is maintaining the solution. We have 450 backend developers at this site and approximately five people are looking after all the maintenance and admin roles. We have database and developers administrators that are giving access to the people for the production maintenance. 

What other advice do I have?

I am very happy with the solution.

Thanks to the training I have received from Microsoft Azure, which cost £60,000, I'm up-skilling all my team for the certification, databases, and machine learning tool. Every month I'm receiving approximately £1,000 from the training credit for the up-skilling.

It is simple to start with Microsoft Azure if you know the application life cycle. You can try so many things without any cost because of the serverless system. You will not be charged for any request at the beginning. For example, you are creating a function application in Azure the first 10,000 requests are free. It is great because you can anyone a developer to test anything.

They're not using very heavy machine learning systems, the system is generally cheap. For example, they are giving a free month trial and a developer can't finish it personally if they do not use a large computing machine.

At the moment they are adding new features faster than I expected. For example, they have Python support but five years ago there wasn't any Python support. They were slow at the beginning but now it updates very quickly. For example, the community services for the low code, no code power platforms, and the power platforms.

I spoke to my developers, machine learning engineer, data engineer, and data scientists and told them please use the auto ML or the community services better. As a London business user site team, we can create all the virtual agents and AI builders with the no code platform for the machine learning models for the power applications. The auto ML is very powerful and you don't need to be an expert in machine learning.

I rate Microsoft Azure a nine out of ten.

Disclosure: I am a real user, and this review is based on my own experience and opinions.
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Karthikeyan Sivasamy
Architect at a tech company with 201-500 employees
Vendor
Top 5Leaderboard
A easy initial setup with good dashboards and good documentation
Pros and Cons
  • "We don't run into any issues with bugs or glitches."
  • "The UX and UI could be improved on the AWS console."

What is our primary use case?

Lately, I've been using AWS Transcribe for transcriptions. I do have some videos that are a client requirement that convert meetings and videos into audio so that audio can be used as an input factor of the transcript can get transcribed.

What is most valuable?

AWS Transcribe is the most useful feature for us right now. It allows us to easily transcribe meetings and videos.

Overall, the solution has been very useful.

We don't run into any issues with bugs or glitches.

The customization is good.

We haven't had any security issues.

The solution offers very nice dashboards.

The initial setup is very easy. They offer good documentation, which helps the process along.

What needs improvement?

Currently, I can't think of any features that are lacking. It does everything we need it to right now.

The UX and UI could be improved on the AWS console.

For how long have I used the solution?

I've been using the solution for quite a long time. I started with it three years ago, now I think it's been more than two or three years at this point.

What do I think about the stability of the solution?

The solution is quite stable. I haven't had issues with bugs or glitches. It seems to be reliable.

What do I think about the scalability of the solution?

I pretty much just use the solution for my own personal learning only. I'm currently working on ten projects. There is also a client that I'm working with. They will be buying their own AWS console and they'll be using it. I might just scale them out with it. 

Therefore, I haven't tried scaling yet. I may be trying to scale in a month or so.

I do plan to increase usage and take on more projects in the future.

How are customer service and technical support?

I really haven't dealt too much with technical support. Mostly, I've been able to use their existing documentation to get the help I need if I run into any issues.

How was the initial setup?

The initial setup is not complex. We found the implementation to be very straightforward and simple.

The product has very good documentation which I was able to access. It's on AWS and it helps us with aspects of the setup and troubleshooting.

The solution requires very little maintenance.

What about the implementation team?

I handled the implementation myself. I didn't need the assistance of a reseller or consultant.

What's my experience with pricing, setup cost, and licensing?

I looked into various cloud services, and I found the pricing to be all pretty much the same AWS is pretty standard industry pricing.

Which other solutions did I evaluate?

I did look at Googe and Azure before ultimately choosing AWS which seemed to fit my requirements a bit better.

What other advice do I have?

I'm an AWS partner.

I'm using the latest version of the solution at this time.

I just come to our AWS console and I can look for new releases. I do some quick demo's and I try to understand what the releases are all about. I might keep findings for two or three months.

I'd recommend the solution to others. Their technology is top-notch.

I'd rate the solution at an eight out of ten. Although when I first started using it, I wasn't the biggest fan, I've found it's met all of my requirements nicely.

Which deployment model are you using for this solution?

Public Cloud
Disclosure: My company has a business relationship with this vendor other than being a customer: Partner
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