Microsoft Azure

We use select Microsoft Azure products and APIs to complete some of our more machine learning-oriented tasks off-premise. This includes modeling data we receive from magnetometer sensors, recognizing environmental effects in data during hardware testing, and some other backend-related tasks like modeling traffic and parking behavior. Using these products allows us to move tasks that require lots of processing power to cloud products that are optimized for this purpose.

At our financial institution, we are currently using Microsoft Azure to deploy thin client applications and web services, and provide access to SQL databases. The usage of this great tool is mainly throughout our IT department. Other areas of the organization do not need to have access to the administration portion of the console. It has greatly helped us deploy applications and web based services in a centralized cloud environment.

We are using Azure for our research on Learning Analytics for the University. For now, it is being by only a department but we plan to deploy it in other departments as well. We are mostly using ElasticSearch and Machine Learning service since we need it for our predictive analysis and prescriptive analysis and also trying to use for our apps.

Its been used at an organizational level. We used the trial pack to evaluate Azure.

It has addressed many issues. Compared to other cloud service providers, the Azure Management Console is far simpler to monitor. Since we migrated our server to Azure haven't faced any downtime. The second point is that Azure SQL as a Service has helped to optimize the cost and increase performance.

The response time of Azure customer service is amazing; I would usually get a callback from them within three hours.

For cloud deployment, for continuous integration. Saving TCO of IT infrastructure, reduce business downtime. Having satisfied customers. Azure is a reliable cloud service for whom would like to achieve 0 downtimes. We are going to explore what Azure can do on Machine Learning and AI for the trading platform and predict the business impact.

One of the great benefits of any cloud based computer is the fact that you don't need to maintain your own hardware. No need to think about updates. No need to worry about disaster striking at the hardware level. No need for your own dedicated IT crew. Just sit back and enjoy the computers which are maintained by Microsoft themselves.

We use Microsoft Azure services for our apps team. We build dev/testing servers; server provisioning is very easy and quick.

Azure is currently being used by the research & development department for things such as ElasticSearch and Cortana Analytics to add into our applications. Our managed services team is also using Azure for Application Insights - an application monitoring system which tracks usage of our application. Our migration team uses Azure for hardware resources, spinning up multiple server instances to complete migrations.

Microsoft Azure is implemented across in bits and pieces. It is mainly driven to save operational costs for non production workloads thereby reducing the requirement of physical hardware in the data center.

We use Microsoft Azure in our organization but I work for implementing Azure services and replatforming and Migrating application to Azure at our clients. It solves various problems from easily deploying application to production, reducing overhead of infrastructure cost and its management. It speeds up deployment, operation and scalability. Azure has data centers all across the globe and is one of the leading player in having the most number of data centers around the globe, so it helps users' data to be easily reachable with less cost and overheads. So data is presented to the user from within the region where he resides or requests for. Azure has a fully integrated development environment making it easy for developer to the tools and development services. It has an integrated IOT platform and IOT is the next big thing in IT world. Azure provides Agility and gives developers, Architects, and Consultants an easy to use service required for applications. Azure also helps with DevOps; it has a fully integrated pipeline which gives DevOps Capabilities implementing CI/CD. Azure also helps in disaster recovery. We can also achieve High Availability due to Azure presence all over the globe. Azure is complaint so for example finance companies can rely on Azure to do the heavy lifting of data back and forth from on prim data centers to cloud. Using most of the capabilities of Azure, it is helping us implementing scalable and reliable solution at clients and at different organizations.

Currently, our department is using Microsoft Azure as an extension of our private cloud. We are a public university and we have difficulties in buying hardware to expand our infrastructure. We use a public cloud as part of the process of having temporary expansion until the end of the buying process. We offer researchers an IaaS cloud and for now, we also use Microsoft Azure to host applications developed for PaaS clouds.

We are only just starting with our use of Azure. We started with some pilot initiatives and are looking at ways in which we can use it more extensively. Some of the pilots have been successful, others less so. Mobility seems to be a big driver, but also some of the difficult scenarios around product licensing are made better in the cloud.

It is used across the IT department. We deploy all .NET based applications in Azure environment.

It's being used across the whole organization via Active Directory, but our primary use is for hosting our websites. It provides a lot of customizability and functionality that most web hosts don't offer, and it gives us the flexibility that we need, with a great balance of performance and price. It's pretty bleeding edge and they provide solutions for pretty much anything you can think of through their marketplace. Highly recommended.

Microsoft Azure has served a need with our company in being able to provide a scalable platform for our customers to be able to host managed services applications. Azure allows for predictable billing, placing resources in the right geographical location, and instant scaling for when we need to provide more horsepower for processing high volume blips.

We are using Azure to host our mortgage application.
The reason to choose Azure was:
a) We can't afford to have any downtime of our application
b) At any point of time, user should need feel that application is behaving slow.
c) We would like to focus more on our line of business application instead of investing time in monitoring and deployment.

The Windows Azure platform was used to host several web services for a marketing and software development company I worked for. Azure's scalability allowed the company to move away from several hosting providers to a single cloud hosting infrastructure. The major problem with Azure was replicating specific legacy environments for some projects.

Azure is being used org wide on different initiatives. We are an MS premier account and they have made it very attractive for us both financially and via support to build both our internal and client-facing applications there.

Currently we have started migrating some of our aging in-house servers to being hosted in Azure. This allows us to save on the cost of new hardware, licenses, and maintenance of having these servers physically hosted on site. With Windows Server 2003 going end of life this past year we realized we needed to upgrade or replace a bunch of our servers and we were looking at a substantial investment in new hardware and licenses. Azure allowed us to get around a lot of those issues, plus allowed us to gain some cloud replication for DR purposes.

We use Azure services for our entire company. We have many users who are remote and it is a terrific way to collaborate. We love that we only have to pay for the capacity that we are actually using instead of having a rack of servers that aren't always being tapped, but are always running. It also saves on the costs of real estate for the server room and additional money that would have to be spent to upgrade and update the servers.

Windows Azure was used (by the previous organization that I was at) for emails and also for engineering development purposes. The business problem was to work on developing a software solution that would run in the Azure cloud.

Internally, we have Ubuntu and Windows virtual machines deployed on Azure that support our hosting and internal application services (like JIRA and Confluence). We also use it for a variety of storage services. This helps us keep equipment costs at an overall minimum when compared to other hosting and virtual machine services.

We implement a cloud management platform and Windows Azure is one of the many cloud providers we integrate with. We deploy custom workloads to be provisioned which also integrate with configuration management solutions such as Puppet. It is used within our department only for testing and our clients use it for development workloads.

It has been used across the whole organization.