Why use Amazon EC2 (AWS) Container Services (Docker)

Why use Amazon's container service?

We all experience a common set of tasks when working in IT shops. Someone gets delegated (voluntold) to the task of working with the System Admin, JBoss/Middleware, Security, and Hardware support teams in configuring a brand new set of servers.

Other times we develop an install instructions for JBoss EAP or a database product like MongoDB or Postgress. Then every developer after the first one has to setup and configure the same set of "things".

Guess What?

Now you don't have to any more. You can create a configuration for a "virtual server" and save that for others to use. So,  you may be developing a JBoss EAP instance with your favorite WAR deployed to offer up a web service within a container (Docker Image). Or, you might be creating a database virtual server within another container.

Each developer can pull down your configured red hat virtual instance container with your setting you created. Now everyone has zero configuration cost for having the same exact set of testing servers. 

Integrating the WAR deployments is possible with tools like Jenkins.

Running your container on your PC or on "the cloud" (Amazon's servers) is really the same thing. The virtual machine can be deployed and run anywhere.

Try out AWS on your own. The only hitch is yes, they ask for a credit card for their "Free environment". Fortunately for me, I had an american express gift card which worked just in setting up the account.

https://aws.amazon.com/free/?sc_channel=PS&sc_campaign=acquisit...!4422!3!96578667522!e!!g!!amazon%20web%20services&ef_id=V0bibAAABAdqv@jn:20160601174220:s 

Views: 180

Comment

You need to be a member of Codetown to add comments!

Join Codetown

Comment by Matt C on June 4, 2016 at 9:11am

do similar by creating local VM's on existing infrastructure

Correct Thomas, you make a good point. If you have existing infrastructure to quickly create and tear down linux vm's, then there isn't much of an advantage. The trouble is we typically face is we create nearly physical VM instances which have a spaghetti factory set of things installed on it by SA experts.

Without trying to sound too much like an AWS salesman:

1) spin up a configuration without the "bare bones minimum" OS and nearly 0 Linux experience

2) deconstruct the configuration and re-construct it on the fly with zero residual configuration on the VM image to mess things up

3) the ability to flip OS versions / JBoss versions / Java versions and re-run your regression test over and over and over

4) software developers do not have to be Linux experts (but fly in with root authority haha)

5) throw away the configurations you don't like (mongoDB or PostGress) when you are done testing them

6) Most importantly for many shops: NO RED TAPE - many shops have rigorous software control board committees and groups.Just the act of getting everyone to agree on a potential configuration can take weeks or months (yes, I've seen this). This can be often the largest issue to preventing software upgrades and sapping your leadership and developer productivity. 

If you are a sophisticated shop, you won't require this and you may have Linux / Windows VM image instructions already in place. In that case, this all may be moot.

Elastic load balancing

Take a read into this feature of multiple VM's "running from the cloud". If you are familiar with the fun F5 sprayer configurations and the fun of working with experts, then you might find configuring the elastic load balancing a little more fun and a little less challenging on your nerves. The features look very robust and viable.

Comment by Thomas O'Hare on June 3, 2016 at 12:48am

I really appreciate the work you did but this was a topic I wanted to read more personal experience with substance.  I am still weighing in on AWS and would have liked to have read more detail on AWS EC2.  I just get the impression from this we could do similar by creating local VM's on existing infrastructure and create environments from VM images to do basically the same -- w/o the Credit Card!  But again, I appreciate the effort.

Happy 10th year, JCertif!

Notes

Welcome to Codetown!

Codetown is a social network. It's got blogs, forums, groups, personal pages and more! You might think of Codetown as a funky camper van with lots of compartments for your stuff and a great multimedia system, too! Best of all, Codetown has room for all of your friends.

When you create a profile for yourself you get a personal page automatically. That's where you can be creative and do your own thing. People who want to get to know you will click on your name or picture and…
Continue

Created by Michael Levin Dec 18, 2008 at 6:56pm. Last updated by Michael Levin May 4, 2018.

Looking for Jobs or Staff?

Check out the Codetown Jobs group.

 

Enjoy the site? Support Codetown with your donation.



InfoQ Reading List

Arm Launches AI-Powered Copilot Assistant to Migrate Workflows to Arm Cloud Compute

At the recent GitHub Universe 2025 developer conference, Arm unveiled the Cloud migration assistant custom agent, a tool designed to help developers automate, optimize, and accelerate the migration of their x86 cloud workflows to Arm infrastructure.

By Sergio De Simone

Presentation: WASM in the Enterprise: Secure, Portable, and Ready for Business

Andrea Peruffo explains the power of server-side WebAssembly, especially on the JVM. Using Red Hat's Chicory runtime, he details how to achieve secure sandboxing, fault isolation, and cross-architecture portability without foreign function interfaces. Learn through case studies how WebAssembly solves real-world enterprise problems, including achieving 10x - 40x speedups with AOT compilation.

By Andrea Peruffo

System Initiative Unveils Expansion with Real-Time Multi-Cloud Discovery and Automation

System Initiative recently announced a major set of new capabilities designed to give engineering organizations instant, real-time visibility and AI-driven control across any cloud platform or API.

By Craig Risi

Memori Expands Into a Full-Scale Memory Layer for AI Agents Across SQL and MongoDB

Memori is an innovative, open-source memory system that empowers AI agents with structured, long-term memory using standard databases like SQL and MongoDB. It seamlessly integrates into existing frameworks, enabling efficient data extraction and retrieval without vendor lock-in. Ideal for developers, Memori's modular design ensures reliability and scalability for next-gen intelligent systems.

By Robert Krzaczyński

How Discord Scaled Its ML Platform from Single-GPU Workflows to a Shared Ray Cluster

Discord has detailed how it rebuilt its machine learning platform after hitting the limits of single-GPU training. The changes enabled daily retrains for large models and contributed to a 200% uplift in a key ads ranking metric.

By Matt Foster

© 2025   Created by Michael Levin.   Powered by

Badges  |  Report an Issue  |  Terms of Service