AWS Elastic Beanstalk vs AWS OpsWorks: What are the differences?
What is 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.
What is AWS OpsWorks? Model and manage your entire application from load balancers to databases using Chef. Start from templates for common technologies like Ruby, Node.JS, PHP, and Java, or build your own using Chef recipes to install software packages and perform any task that you can script. AWS OpsWorks can scale your application using automatic load-based or time-based scaling and maintain the health of your application by detecting failed instances and replacing them. You have full control of deployments and automation of each component .
AWS Elastic Beanstalk belongs to "Platform as a Service" category of the tech stack, while AWS OpsWorks can be primarily classified under "Server Configuration and Automation".
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, AWS OpsWorks provides the following key features:
- AWS OpsWorks lets you model the different components of your application as layers in a stack, and maps your logical architecture to a physical architecture. You can see all resources associated with your application, and their status, in one place.
- AWS OpsWorks provides an event-driven configuration system with rich deployment tools that allow you to efficiently manage your applications over their lifetime, including support for customizable deployments, rollback, partial deployments, patch management, automatic instance scaling, and auto healing.
- AWS OpsWorks lets you define template configurations for your entire environment in a format that you can maintain and version just like your application source code.
"Integrates with other aws services" is the primary reason why developers consider AWS Elastic Beanstalk over the competitors, whereas "Devops" was stated as the key factor in picking AWS OpsWorks.
Accenture, Sellsuki, and Close are some of the popular companies that use AWS Elastic Beanstalk, whereas AWS OpsWorks is used by Accenture, DeveloperTown, and NoRedInk. AWS Elastic Beanstalk has a broader approval, being mentioned in 374 company stacks & 119 developers stacks; compared to AWS OpsWorks, which is listed in 73 company stacks and 19 developer stacks.
What is AWS Elastic Beanstalk?
What is AWS OpsWorks?
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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.
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
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.
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.
Elastic Beanstalk manages our environments. We rely on it to manage rolling out new versions of services.
Easy to get started. Essentially a package of several AWS products integrated for you.
For convenience I use Elastic Beanstalk to host all my sites.
All server-side deployments go to one of 5 EB environments.