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Integrated cloud services and infrastructure to support computing, database, analytics, mobile, and web scenarios.

What is Microsoft Azure?

Azure is an open and flexible cloud platform that enables you to quickly build, deploy and manage applications across a global network of Microsoft-managed datacenters. You can build applications using any language, tool or framework. And you can integrate your public cloud applications with your existing IT environment.
Microsoft Azure is a tool in the Cloud Hosting category of a tech stack.

Who uses Microsoft Azure?

Companies
489 companies use Microsoft Azure in their tech stacks, including Starbucks, krittiq, and SlidePay.

Developers
459 developers use Microsoft Azure.

Microsoft Azure Integrations

Bitbucket, Kubernetes, New Relic, Ansible, and Vagrant are some of the popular tools that integrate with Microsoft Azure. Here's a list of all 63 tools that integrate with Microsoft Azure.

Why developers like Microsoft Azure?

Here’s a list of reasons why companies and developers use Microsoft Azure
Microsoft Azure Reviews

Here are some stack decisions, common use cases and reviews by companies and developers who chose Microsoft Azure in their tech stack.

Ganesa Vijayakumar
Ganesa Vijayakumar
Full Stack Coder | Module Lead · | 15 upvotes · 42.6K views
SonarQube
Codacy
Docker
Git
Apache Maven
Amazon EC2 Container Service
Microsoft Azure
Amazon Route 53
Elasticsearch
Solr
Amazon RDS
Amazon S3
Heroku
Hibernate
MySQL
Node.js
Java
Bootstrap
jQuery Mobile
jQuery UI
jQuery
JavaScript
React Native
React Router
React

I'm planning to create a web application and also a mobile application to provide a very good shopping experience to the end customers. Shortly, my application will be aggregate the product details from difference sources and giving a clear picture to the user that when and where to buy that product with best in Quality and cost.

I have planned to develop this in many milestones for adding N number of features and I have picked my first part to complete the core part (aggregate the product details from different sources).

As per my work experience and knowledge, I have chosen the followings stacks to this mission.

UI: I would like to develop this application using React, React Router and React Native since I'm a little bit familiar on this and also most importantly these will help on developing both web and mobile apps. In addition, I'm gonna use the stacks JavaScript, jQuery, jQuery UI, jQuery Mobile, Bootstrap wherever required.

Service: I have planned to use Java as the main business layer language as I have 7+ years of experience on this I believe I can do better work using Java than other languages. In addition, I'm thinking to use the stacks Node.js.

Database and ORM: I'm gonna pick MySQL as DB and Hibernate as ORM since I have a piece of good knowledge and also work experience on this combination.

Search Engine: I need to deal with a large amount of product data and it's in-detailed info to provide enough details to end user at the same time I need to focus on the performance area too. so I have decided to use Solr as a search engine for product search and suggestions. In addition, I'm thinking to replace Solr by Elasticsearch once explored/reviewed enough about Elasticsearch.

Host: As of now, my plan to complete the application with decent features first and deploy it in a free hosting environment like Docker and Heroku and then once it is stable then I have planned to use the AWS products Amazon S3, EC2, Amazon RDS and Amazon Route 53. I'm not sure about Microsoft Azure that what is the specialty in it than Heroku and Amazon EC2 Container Service. Anyhow, I will do explore these once again and pick the best suite one for my requirement once I reached this level.

Build and Repositories: I have decided to choose Apache Maven and Git as these are my favorites and also so popular on respectively build and repositories.

Additional Utilities :) - I would like to choose Codacy for code review as their Startup plan will be very helpful to this application. I'm already experienced with Google CheckStyle and SonarQube even I'm looking something on Codacy.

Happy Coding! Suggestions are welcome! :)

Thanks, Ganesa

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Kestas Barzdaitis
Kestas Barzdaitis
Entrepreneur & Engineer · | 10 upvotes · 20.7K views
atCodeFactor
Google Cloud Functions
Azure Functions
AWS Lambda
Docker
Google Compute Engine
Microsoft Azure
Amazon EC2
CodeFactor.io
Kubernetes
#Devops
#AI
#Machinelearning
#Automation
#Startup
#Autoscale
#Containerization
#IAAS
#SAAS

CodeFactor being a #SAAS product, our goal was to run on a cloud-native infrastructure since day one. We wanted to stay product focused, rather than having to work on the infrastructure that supports the application. We needed a cloud-hosting provider that would be reliable, economical and most efficient for our product.

CodeFactor.io aims to provide an automated and frictionless code review service for software developers. That requires agility, instant provisioning, autoscaling, security, availability and compliance management features. We looked at the top three #IAAS providers that take up the majority of market share: Amazon's Amazon EC2 , Microsoft's Microsoft Azure, and Google Compute Engine.

AWS has been available since 2006 and has developed the most extensive services ant tools variety at a massive scale. Azure and GCP are about half the AWS age, but also satisfied our technical requirements.

It is worth noting that even though all three providers support Docker containerization services, GCP has the most robust offering due to their investments in Kubernetes. Also, if you are a Microsoft shop, and develop in .NET - Visual Studio Azure shines at integration there and all your existing .NET code works seamlessly on Azure. All three providers have serverless computing offerings (AWS Lambda, Azure Functions, and Google Cloud Functions). Additionally, all three providers have machine learning tools, but GCP appears to be the most developer-friendly, intuitive and complete when it comes to #Machinelearning and #AI.

The prices between providers are competitive across the board. For our requirements, AWS would have been the most expensive, GCP the least expensive and Azure was in the middle. Plus, if you #Autoscale frequently with large deltas, note that Azure and GCP have per minute billing, where AWS bills you per hour. We also applied for the #Startup programs with all three providers, and this is where Azure shined. While AWS and GCP for startups would have covered us for about one year of infrastructure costs, Azure Sponsorship would cover about two years of CodeFactor's hosting costs. Moreover, Azure Team was terrific - I felt that they wanted to work with us where for AWS and GCP we were just another startup.

In summary, we were leaning towards GCP. GCP's advantages in containerization, automation toolset, #Devops mindset, and pricing were the driving factors there. Nevertheless, we could not say no to Azure's financial incentives and a strong sense of partnership and support throughout the process.

Bottom line is, IAAS offerings with AWS, Azure, and GCP are evolving fast. At CodeFactor, we aim to be platform agnostic where it is practical and retain the flexibility to cherry-pick the best products across providers.

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Omar Mehilba
Omar Mehilba
Co-Founder and COO at Magalix · | 8 upvotes · 28.8K views
atMagalix
Python
Go
Amazon EC2
Google Kubernetes Engine
Microsoft Azure
Kubernetes
#Autopilot

We are hardcore Kubernetes users and contributors. We loved the automation it provides. However, as our team grew and added more clusters and microservices, capacity and resources management becomes a massive pain to us. We started suffering from a lot of outages and unexpected behavior as we promote our code from dev to production environments. Luckily we were working on our AI-powered tools to understand different dependencies, predict usage, and calculate the right resources and configurations that should be applied to our infrastructure and microservices. We dogfooded our agent (http://github.com/magalixcorp/magalix-agent) and were able to stabilize as the #autopilot continuously recovered any miscalculations we made or because of unexpected changes in workloads. We are open sourcing our agent in a few days. Check it out and let us know what you think! We run workloads on Microsoft Azure Google Kubernetes Engine and Amazon EC2 and we're all about Go and Python!

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Mohamed Labouardy
Mohamed Labouardy
Founder at Komiser · | 5 upvotes · 2.7K views
atKomiser
GitHub
Go
Microsoft Azure
OVH
Amazon Web Services
Google Compute Engine

Google Compute Engine Amazon Web Services OVH Microsoft Azure Go GitHub

Last week, we released a fresh new release of Komiser with support of multiple AWS accounts. Komiser support multiple AWS accounts through named profiles that are stored in the credentials files.

You can now analyze and identify potential cost savings on unlimited AWS environments (Production, Staging, Sandbox, etc) on one single dashboard.

Read the full story in the blog post.

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Mohamed Labouardy
Mohamed Labouardy
Founder at Komiser · | 5 upvotes · 2.6K views
atKomiser
GitHub
Microsoft Azure
Material Design for Angular
Docker
Go
Amazon Web Services
Google Compute Engine

Google Compute Engine Amazon Web Services Go Docker Material Design for Angular Microsoft Azure GitHub I’m super excited to annonce the release of Komiser:2.1.0 with beta support of Google Cloud Platform. You can now use one single open source tool to detect both AWS and GCP overspending.

Komiser allows you to analyze and manage #cloud cost, usage, #security, and governance in one place. Hence, detecting potential vulnerabilities that could put your cloud environment at risk.

It allows you also to control your usage and create visibility across all used services to achieve maximum cost-effectiveness and get a deep understanding of how you spend on the #AWS, #GCP and #Azure.

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Arvind Singh
Arvind Singh
Senior Software Engineer · | 2 upvotes · 1.2K views
Google Compute Engine
Amazon EC2
Microsoft Azure

For personal or as an employee authorized to manage from infrastructure to deployment, Microsoft Azure provides super easy UI for any individual to configure resources. Compare to Amazon EC2 or Google Compute Engine, these require some knowledge of nix commands.

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Microsoft Azure's features

  • Use your OS, language, database, tool
  • Global datacenter footprint
  • Enterprise Grade with up to a 99.95% monthly SLA
  • Web Sites- Get started for free and scale up as your traffic grows. Build with ASP.NET, PHP or Node.js and deploy in seconds with FTP, Git or TFS.
  • Infrastructure Services- Access scalable, on-demand infrastructure using Virtual Machines and Virtual Networks. Take advantage of what you already know to achieve new capabilities in the cloud.
  • Mobile Services- App development with a scalable and secure backend hosted in Windows Azure. Incorporate structured storage, user authentication and push notifications in minutes.
  • Cloud Services- Create highly-available, infinitely scalable applications and services using a rich Platform as a Service (PaaS) environment. Support multi-tier scenarios, automated deployments and elastic scale.
  • Big Data- Process, analyze, and gain new insights from big data using the power of Apache Hadoop.
  • Media- Create, manage and distribute media in the cloud. This PaaS offering provides everything from encoding to content protection to streaming and analytics support.

Microsoft Azure Alternatives & Comparisons

What are some alternatives to Microsoft Azure?
Amazon Web Services
It provides on-demand cloud computing platforms to individuals, companies and governments. It offers reliable, scalable, and inexpensive cloud computing services.
Google Cloud Platform
It helps you build what's next with secure infrastructure, developer tools, APIs, data analytics and machine learning. It is a suite of cloud computing services that runs on the same infrastructure that Google uses internally for its end-user products, such as Google Search and YouTube.
DigitalOcean
We take the complexities out of cloud hosting by offering blazing fast, on-demand SSD cloud servers, straightforward pricing, a simple API, and an easy-to-use control panel.
OneDrive
Outlook.com is a free, personal email service from Microsoft. Keep your inbox clutter-free with powerful organizational tools, and collaborate easily with OneDrive and Office Online integration.
Amazon EC2
Amazon Elastic Compute Cloud (Amazon EC2) is a web service that provides resizable compute capacity in the cloud. It is designed to make web-scale computing easier for developers.
See all alternatives

Microsoft Azure's Stats

- No public GitHub repository available -