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AWS Elastic Beanstalk vs Microsoft Azure: What are the differences?

AWS Elastic Beanstalk: Quickly deploy and manage applications in the AWS cloud. Once you upload your application, Elastic Beanstalk automatically handles the deployment details of capacity provisioning, load balancing, auto-scaling, and application health monitoring; Microsoft Azure: Integrated cloud services and infrastructure to support computing, database, analytics, mobile, and web scenarios. 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.

AWS Elastic Beanstalk can be classified as a tool in the "Platform as a Service" category, while Microsoft Azure is grouped under "Cloud Hosting".

Some of the features offered by AWS Elastic Beanstalk are:

  • Elastic Beanstalk is built using familiar software stacks such as the Apache HTTP Server for Node.js, PHP and Python, Passenger for Ruby, IIS 7.5 for .NET, and Apache Tomcat for Java
  • There is no additional charge for Elastic Beanstalk - you pay only for the AWS resources needed to store and run your applications.
  • Easy to begin – Elastic Beanstalk is a quick and simple way to deploy your application to AWS. You simply use the AWS Management Console, Git deployment, or an integrated development environment (IDE) such as Eclipse or Visual Studio to upload your application

On the other hand, Microsoft Azure provides the following key features:

  • Use your OS, language, database, tool
  • Global datacenter footprint
  • Enterprise Grade with up to a 99.95% monthly SLA

"Integrates with other aws services" is the top reason why over 74 developers like AWS Elastic Beanstalk, while over 108 developers mention "Scales well and quite easy" as the leading cause for choosing Microsoft Azure.

Starbucks, Movielala, and Docplanner are some of the popular companies that use Microsoft Azure, whereas AWS Elastic Beanstalk is used by Sellsuki, Edify, and eTobb. Microsoft Azure has a broader approval, being mentioned in 489 company stacks & 463 developers stacks; compared to AWS Elastic Beanstalk, which is listed in 370 company stacks and 113 developer stacks.

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What is AWS Elastic Beanstalk?

Once you upload your application, Elastic Beanstalk automatically handles the deployment details of capacity provisioning, load balancing, auto-scaling, and application health monitoring.

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.
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What are some alternatives to AWS Elastic Beanstalk and Microsoft Azure?
Google App Engine
Google has a reputation for highly reliable, high performance infrastructure. With App Engine you can take advantage of the 10 years of knowledge Google has in running massively scalable, performance driven systems. App Engine applications are easy to build, easy to maintain, and easy to scale as your traffic and data storage needs grow.
AWS CodeDeploy
AWS CodeDeploy is a service that automates code deployments to Amazon EC2 instances. AWS CodeDeploy makes it easier for you to rapidly release new features, helps you avoid downtime during deployment, and handles the complexity of updating your applications.
Docker
The Docker Platform is the industry-leading container platform for continuous, high-velocity innovation, enabling organizations to seamlessly build and share any application — from legacy to what comes next — and securely run them anywhere
Azure App Service
Quickly build, deploy, and scale web apps created with popular frameworks .NET, .NET Core, Node.js, Java, PHP, Ruby, or Python, in containers or running on any operating system. Meet rigorous, enterprise-grade performance, security, and compliance requirements by using the fully managed platform for your operational and monitoring tasks.
AWS CloudFormation
You can use AWS CloudFormation’s sample templates or create your own templates to describe the AWS resources, and any associated dependencies or runtime parameters, required to run your application. You don’t need to figure out the order in which AWS services need to be provisioned or the subtleties of how to make those dependencies work.
See all alternatives
Decisions about AWS Elastic Beanstalk and Microsoft Azure
Jerome Dalbert
Jerome Dalbert
Senior Backend Engineer at StackShare · | 7 upvotes · 17.6K views
atGratify CommerceGratify Commerce
AWS Elastic Beanstalk
AWS Elastic Beanstalk
Heroku
Heroku
Rails
Rails
#PaaS

When creating the web infrastructure for our start-up, I wanted to host our app on a PaaS to get started quickly.

A very popular one for Rails is Heroku, which I love for free hobby side projects, but never used professionally. On the other hand, I was very familiar with the AWS ecosystem, and since I was going to use some of its services anyways, I thought: why not go all in on it?

It turns out that Amazon offers a PaaS called AWS Elastic Beanstalk, which is basically like an “AWS Heroku”. It even comes with a similar command-line utility, called "eb”. While edge-case Rails problems are not as well documented as with Heroku, it was very satisfying to manage all our cloud services under the same AWS account. There are auto-scaling options for web and worker instances, which is a nice touch. Overall, it was reliable, and I would recommend it to anyone planning on heavily using AWS.

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Kestas Barzdaitis
Kestas Barzdaitis
Entrepreneur & Engineer · | 12 upvotes · 60.8K views
atCodeFactorCodeFactor
Google Cloud Functions
Google Cloud Functions
Azure Functions
Azure Functions
AWS Lambda
AWS Lambda
Docker
Docker
Google Compute Engine
Google Compute Engine
Microsoft Azure
Microsoft Azure
Amazon EC2
Amazon EC2
CodeFactor.io
CodeFactor.io
Kubernetes
Kubernetes
#SAAS
#IAAS
#Containerization
#Autoscale
#Startup
#Automation
#Machinelearning
#AI
#Devops

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 · | 13 upvotes · 49.2K views
atMagalixMagalix
Python
Python
Go
Go
Amazon EC2
Amazon EC2
Google Kubernetes Engine
Google Kubernetes Engine
Microsoft Azure
Microsoft Azure
Kubernetes
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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Amazon ElastiCache
Amazon ElastiCache
Amazon Elasticsearch Service
Amazon Elasticsearch Service
AWS Elastic Load Balancing (ELB)
AWS Elastic Load Balancing (ELB)
Memcached
Memcached
Redis
Redis
Python
Python
AWS Lambda
AWS Lambda
Amazon RDS
Amazon RDS
Microsoft SQL Server
Microsoft SQL Server
MariaDB
MariaDB
Amazon RDS for PostgreSQL
Amazon RDS for PostgreSQL
Rails
Rails
Ruby
Ruby
Heroku
Heroku
AWS Elastic Beanstalk
AWS Elastic Beanstalk

We initially started out with Heroku as our PaaS provider due to a desire to use it by our original developer for our Ruby on Rails application/website at the time. We were finding response times slow, it was painfully slow, sometimes taking 10 seconds to start loading the main page. Moving up to the next "compute" level was going to be very expensive.

We moved our site over to AWS Elastic Beanstalk , not only did response times on the site practically become instant, our cloud bill for the application was cut in half.

In database world we are currently using Amazon RDS for PostgreSQL also, we have both MariaDB and Microsoft SQL Server both hosted on Amazon RDS. The plan is to migrate to AWS Aurora Serverless for all 3 of those database systems.

Additional services we use for our public applications: AWS Lambda, Python, Redis, Memcached, AWS Elastic Load Balancing (ELB), Amazon Elasticsearch Service, Amazon ElastiCache

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Mohamed Labouardy
Mohamed Labouardy
Founder at Komiser · | 5 upvotes · 11.8K views
atKomiserKomiser
GitHub
GitHub
Go
Go
Microsoft Azure
Microsoft Azure
OVH
OVH
Amazon Web Services
Amazon Web Services
Google Compute Engine
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 · 17.6K views
atKomiserKomiser
GitHub
GitHub
Microsoft Azure
Microsoft Azure
Material Design for Angular
Material Design for Angular
Docker
Docker
Go
Go
Amazon Web Services
Amazon Web Services
Google Compute Engine
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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AWS Elastic Beanstalk
AWS Elastic Beanstalk
Heroku
Heroku
uWSGI
uWSGI
Gunicorn
Gunicorn

I use Gunicorn because does one thing - it’s a WSGI HTTP server - and it does it well. Deploy it quickly and easily, and let the rest of your stack do what the rest of your stack does well, wherever that may be.

uWSGI “aims at developing a full stack for building hosting services” - if that’s a thing you need then ok, but I like the principle of doing one thing well, and I deploy to platforms like Heroku and AWS Elastic Beanstalk where the rest of the “hosting service” is provided and managed for me.

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Interest over time
Reviews of AWS Elastic Beanstalk and Microsoft Azure
Avatar of IanEdington
Business Analyst
Review ofMicrosoft AzureMicrosoft Azure

Windows Azure is more difficult to configure than some other cloud based technologies, however, it makes up for it with the incredible integrations and ease of development on mobile platforms (Android, iOS and of course Windows Phone).

The Azure Web Sites is a PaaS that is very easy to setup and is pretty powerful.

If you want VMs you can have them and even program when they come online.

There are tons of ways to use this service and there are a lot of free things you can get in order to try it out. The only downside is that you have to learn a new, although very powerful, platform.

How developers use AWS Elastic Beanstalk and Microsoft Azure
Avatar of MOKA Analytics
MOKA Analytics uses Microsoft AzureMicrosoft Azure

We use Microsoft Azure because many of our clients are already Azure for their private cloud. Additionally, Azure supports App Service Environments (ASE), which isolates the application resources and gives us a static IP for securely accessing external resources

Additionally, MSSQL supports columnstore tables which is critical for running fast analytics over large datasets

Avatar of Daniel Kovacs
Daniel Kovacs uses Microsoft AzureMicrosoft Azure

My favourite cloud with all the great tools - web apps, mobile apps, storages, easy tables, blobs, app insights, cosmos DB... I think it is really usable and ergonomic. Plus point for mobile app.

Avatar of PSESD
PSESD uses Microsoft AzureMicrosoft Azure

We currently host PRS and EARS on Azure as they are .Net apps, but we are currently porting these services to Scala and will be hosting them on Heroku with the other P2 SRX services.

Avatar of ONLICAR
ONLICAR uses AWS Elastic BeanstalkAWS Elastic Beanstalk

Elastic Beanstalk gives us a managed platform for our front end servers to make sure that traffic is never overloading our servers and that deployments are always successful.

Avatar of Onezino Gabriel
Onezino Gabriel uses Microsoft AzureMicrosoft Azure

Serviço utilizado para deploy de toda a infraestrutura do projeto. Colocamos todas as peças do serviço no azure, garantindo uma forma rápida e garantia de escalibilidade.

Avatar of Sean Long
Sean Long uses Microsoft AzureMicrosoft Azure

Blackbaud makes use of Azure and my current job is with Blackbaud. Therefore, due to the free credit and the ability to reuse tools, I rely on Azure quite a bit.

Avatar of Lumanu
Lumanu uses AWS Elastic BeanstalkAWS Elastic Beanstalk

Elastic Beanstalk manages our environments. We rely on it to manage rolling out new versions of services.

Avatar of Flux Work
Flux Work uses AWS Elastic BeanstalkAWS Elastic Beanstalk

Easy to get started. Essentially a package of several AWS products integrated for you.

Avatar of Daniel Pupius
Daniel Pupius uses AWS Elastic BeanstalkAWS Elastic Beanstalk

For convenience I use Elastic Beanstalk to host all my sites.

Avatar of Undisclosed, Do Not Contact or Spam Please
Undisclosed, Do Not Contact or Spam Please uses AWS Elastic BeanstalkAWS Elastic Beanstalk

All server-side deployments go to one of 5 EB environments.

How much does AWS Elastic Beanstalk cost?
How much does Microsoft Azure cost?
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