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- Service-level Agreement (SLA) uptime (14)8.686%
- Dynamic scaling (14)8.585%
- Elastic load balancing (14)8.282%
- Pre-configured templates (14)7.777%
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Entry-level set up fee?
- No setup fee
- Free Trial
- Free/Freemium Version
- Premium Consulting / Integration Services
Starting price (does not include set up fee)
- $29 per month
Microsoft Azure is a cloud computing service from Microsoft. With Azure, businesses and organizations can build, manage, and deploy applications on Microsoft’s global networking, using customizable tools and frameworks.
Azure supports any tool, language, or framework, providing access to 100+ services to provide a comprehensive cloud computing platform. Azure has as broad set of hybrid computing capabilities, with support for working in the cloud or on-premises.
According to Microsoft, Windows Server, SQL Server PaaS, and SQL Server IaaS are significantly more affordable alternatives to other software in their categories. Users can lower costs if they have existing licenses, reserve resources in advance, or move specific workloads to Azure, all dependent on the particular organization’s situation.
An example of some of the service areas Azure covers:
AI + Machine Learning
Internet of Things
Windows Virtual Desktop
- 20-30 % reduction in case of infrastructure migration
- 30-45% ROI in case of Application Modernization
- more than 50% ROI in case of using Innovation services like DATA and AI
- Awe-inspiring work has been done in the field of monitoring!
- It makes it easier to move, monitor, and configure applications.
- The interface is user-friendly, and it is simple to navigate through it.
- Fully managed cloud service solution i.e +ve ROI.
- Excellent customer support and solutions i.e. +ve ROI.
- Costing is appropriate as per the services i.e +ve ROI.
- Some AI related services might be costly for the businesses.
- Reduce our overall cost of Cloud operation
- Increase operational efficiency
- Big data analysis and creation of report to make right financial decision
- Data processing cost is reduced
- Times and growth went into it. By balancing on-premises maintenance with continuous cloud improvements, we’ve budgeted and planned endlessly increased capacity.
- In today’s world of cyber-crime, clients can put even more faith in what they’ve heard. We built an innovative single-sign-on hub for all users. Also, other business platforms use Azure application gateways, reducing worker switching time and increasing productivity.
- Its step can automate to improve the investment. In addition, we can integrate our organization’s credentials into an authorization for other systems.
- It is the best Investment made so far..
- Reduces cost for on-prem setup
- Saves a lot of time
- Use of Reserved Instances has reduced base load costs by 10-30%
- Hybrid Use Benefit allows reduced cost of servers
- Automation allows shut down of equipment not in use based on time of day/month
- Speed of development has be significantly increased compare to previous setup
- capex turned to opex
- migration costs can be very high and prolong the time until you get your roi
- Cost wise, we took about a 75% loss on project.
- Gains In contrast to investment in azure, a 100% loss.
- Compared to original budget, 500% loss.
- Azure is truly PaaS. It provides the platform with the best possible configuration around many services. However many services require improvement.
- Automation templates are not much flexible. So for [doable] assets (which you want to up at the time of demo), you need to do [a] lot of work in prior. Sometimes it creates [a] negative impact on ROI.
- We find it extremely useful and agile when you want to do quick prototyping or development on [the] scale for cognitive services. Truly worth of investment.
- Our licensing fees were saved kind of while using Azure.
- Admins were having a hard time dealing with issues.
- Control panel being complicated.
- These troubles opted us to use AWS instead.
- User implementation and setup is faster and more efficient
- "Bundling" via Azure much cheaper than outsourcing various vendors
- Support training simplified and structured
- Cost is more as compared to some services
- Good downtime and support system is very good
- Support is only one time free then it is chargeable which is not [very] fair
- We pay for what we use.
- The investment we can recovery for all the data in process we can automate.
- Cybersecurity gives the client the opportunity to believe even more.
- Provided value to customers
- Easy scaffolding of demo / POC projects
- Simple hand off to customers
- Decreased in-house hardware cost.
- Decreased open firewall and security controls to accommodate directory-enabled authentication (better for our security posture).
- Less overhead management and monitoring of internal resources, with better uptime.
- For about 2 years we didn't have to do anything with our production VMs, the system ran without a hitch, which meant our engineers could focus on features rather than infrastructure.
- DNS management was very easy in Azure, which made it easy to upgrade our cluster with zero downtime.
- Azure Web UI was easy to work with and navigate, which meant our senior engineers and DevOps team could work with Azure without formal training.
- Brings down Capex to customers.
- Some of the built-in security features of DDoS Basic protection that comes with VNET on Azure or even WAF on AGW brings huge advantages to customers.
- Hybrid benefits for those who have software assurance can save even more costs by moving to Azure.
- Good costs are saved in resource maintenance.
- Secure accessibility of virtual machines over the cloud.
- Availability of all the environments for testing.
- Lower support costs - FTE reduction
- Cost predictability and low overhead
- Ability to pay for use only with tons of tools to adjust consumption (pay for what you use model)
- It has taken a few years of planning and growth (which continue), but we've been able to successfully budget and plan for ever increased capacity by starting first with some Virtual Machines and factoring in on-prem maintenance vs cloud constant improvements. VM (server, compute, networking) costs even out quickly over time and will show savings very soon.
- Because of Azure Application Gateways (which cost very little to set up and maintain), we were able to build a state of the art single-sign-on hub for all of our users and other enterprise platforms (mostly non-Microsoft and non Azure systems), reducing the amount of time to switch among these for workers and increasing overall productivity.
- With Azure Active Directory, we do not need to maintain separate identity systems and can more easily integrate our organizations credentials into authorization for access to other systems.
- Huge savings on Data Archiving, using 3rd party tools and Azure Storage Accounts.
- Significant savings deploying temporary applications to Azure, instead of expanding the OnPrem environment.
- Compliance/Security improvements, moving Windows 2008 R2 legacy servers to Azure and keeping extended support.
- As with any IaaS DO NOT lift and shift into Azure. Develop with the cloud model in mind. We were told to lift and shift into Azure with a crazy increase in operating costs.
- Our development teams love it. Integration with Team City and Visual studio is one of the greatest time savers for our dev teams.
- We thought we'd save on getting rid of some on premise appliances but we ended up needing the cloud version of the appliance because the features in Azure were just not mature enough yet.