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Microsoft Azure

Score8.5 out of 10

1,010 Reviews and Ratings

What is Microsoft Azure?

Microsoft Azure is a cloud computing platform and infrastructure for building, deploying, and managing applications and services through a global network of Microsoft-managed datacenters.

Top Performing Features

  • Service-level Agreement (SLA) uptime

    The service uptime as a percentage defined in the SLA

    Category average: 8.6

  • Elastic load balancing

    Automatic balancing and distribution of resources across multiple virtual computers

    Category average: 8.5

  • Security controls

    Compliance with security protocols like SSL and AES

    Category average: 8.1

Areas for Improvement

  • Pre-configured templates

    Pre-defined templates for virtual machines

    Category average: 7.6

  • Pre-defined machine images

    Range of different server configurations available

    Category average: 7.8

  • Automation

    Automation of administrative tasks

    Category average: 7.7

Microsoft Azure has a good position in the market

Use Cases and Deployment Scope

We use Microsoft Azure in lots of different ways, its a versatile product with a lot of different uses. We use it to host VM's, use Entra ID, host storage and as a back-up solution. It offers availability and redundancy without the need of investing in hardware ourselves. You pay for what you use and it's very flexible.

Pros

  • Removes the need to invest in hardware
  • Offers availability and redundancy
  • Constant development

Cons

  • Requires a lot of knowledge to administer
  • Even after obtaining the knowledge, some things are still hard to find

Return on Investment

  • No direct costs for new hardware
  • Great availability
  • Great Scalability

Usability

Alternatives Considered

Hyper-V and VMware vSphere

A powerful platform to integrate Microsoft services

Use Cases and Deployment Scope

Our organization uses Microsoft Azure cloud platform for the enterprise-level workflows. For example, we integrate it with Microsoft infrastructure, like Office365, Active Directory, API management and Teams.

Pros

  • API Management
  • Connect the existing on-premises systems to cloud solutions
  • Its cloud computing, analytics, and storage services.

Cons

  • The support is weak
  • Crossing platform issues
  • Deployment issues

Return on Investment

  • Reliable cloud services
  • The use of AI technology
  • Easy to manage

Usability

Alternatives Considered

AWS Auto Scaling and Google Cloud Platform

Other Software Used

Google Cloud Platform, AWS Backup, ChatGPT, DeepSeek, Microsoft Copilot

Quick scaling with easy integration

Use Cases and Deployment Scope

Microsoft Azure houses the infrastructure for public facing websites

Pros

  • Ability to scale out the environment
  • Easy to find the details of each resource cost
  • Ability to separate roles

Cons

  • The cost of each resource is easy to find but the amount is not as clear when it is first setup
  • Along lines of cost, the costs in “marketplace” should be included in the billing to Microsoft and not separate

Return on Investment

  • We are able to scale up at any point within a very short period of time

Usability

Alternatives Considered

AWS Lambda

Other Software Used

Python IDLE, GitHub

Microsoft Azure is going places

Use Cases and Deployment Scope

I purchase and keep track of licenses for users. Create sharepoint sites, add and remove users etc. Microsoft Azure is easy to use once you start using it. The security aspect is also improved - making it easier to block sign-ins and more. MFA and policies have also improved, making it easier to manage end users and admins.

Pros

  • manage users
  • easy to edit policies

Cons

  • the users b/t exchange and cloud -
  • better Microsoft Graph management
  • improve the Bulk Changes feature - bulk add users AND the sharepoint sites they are a member of

Return on Investment

  • Positive impact on the functionality within my job
  • positive overall
  • unsure about ROI

Usability

Alternatives Considered

Certificate Authority Service by Google Cloud, Sophos Central Device Encryption and Barracuda Backup

Other Software Used

Salesforce CMS, ON24, Higher Logic Thrive

Microsoft Azure - Enterprise Power and Complexity Controlled.

Use Cases and Deployment Scope

As an AI product management technical architect, I leverage Microsoft Azure as our primary cloud platform to deploy and manage our machine learning models at scale, utilizing Azure Machine Learning for model training and Azure Kubernetes Service for robust deployment. Our solution addresses critical business challenges, including real-time data processing, inconsistent model performance, and the high operational costs associated with maintaining on-premises infrastructure. The scope of our Azure implementation spans our entire model lifecycle - from development and testing to production deployment and monitoring.

Pros

  • Enterprise-grade security and compliance.
  • Seamless integration with existing Microsoft products and services.
  • Hybrid cloud capabilities allowing workloads to run both on-premises and in the cloud.

Cons

  • User experience across Azure Portal interfaces lacks consistency and can be unintuitive.
  • Pricing structure remains unnecessarily complex and difficult to predict.
  • Documentation quality varies dramatically between services, with some newer offerings having significant gaps.

Return on Investment

  • Accelerated time-to-market for new AI solutions, reducing deployment cycles drastically.
  • Security features have strengthened our compliance posture.
  • Positive ROI with a 30% overall infrastructure management overhead reduction and improved system reliability.

Usability

Alternatives Considered

Google Cloud AI

Other Software Used

Google Cloud Platform, Amazon Web Services