DevOps in AWS

Automated, Agile DevOps Environments

Innovate at the Speed You Need


As innovation accelerates and customer needs rapidly evolve, businesses must become increasingly agile. Time to market is key, and to facilitate overall business goals, IT departments need to be agile. Over the years, software development lifecycles moved from waterfall to agile models of development. These improvements are moving downstream toward IT operations with the evolution of DevOps.

Amazon Web Services (AWS) adds value in the various phases of the software development cycle, with a specific focus on development and test. AWS provides unique advantages in each of these scenarios and phases, allowing you to pick and choose the ones most appropriate for your software development project.

If your software building process does not utilize infrastructure automation for CI/CD, how is your business at its most competitive when hard-to-track bugs in your code slow you down? Our DevOps solutions will help you be your most competitive while increasing your cost-savings. We build a better quality software build process for your business.

aws devops competency relus cloud

Infrastructure as Code

DevOps in AWS creates an environment where development and test are never hardware constrained. With DevOps in AWS, new IT resources are only a few clicks away, which means you reduce the time it takes to make those resources available to your developers from weeks to just minutes.

This increase in agility enables you to experiment often, fail quickly, and iterate on your ideas at a low-cost something that can ultimately enable more innovation.


Amazon Web Services lets you shift your resources away from data center investments and operations to focus on innovative new projects that differentiate your business. With AWS, realize possibilities that are difficult to meet with traditional hardware.

On AWS, resources can be fully automated quickly so that environments can be provisioned and decommissioned without human intervention. You can also start development environments on-demand; kick off builds when needed, unconstrained by the availability of resources; provision test resources; and automatically orchestrate entire test runs.

Continuous Integration

With continuous integration on AWS, developers can commit new versions to a shared repository, detect changes to the new versions, and test before integration.

On AWS, continuous integration allows agility in the build and testing stages of the software release lifecycle. The benefits of continuous integration on AWS include improved productivity, identifying bugs quickly, and faster software updates.

Continuous Deployment

The elasticity of Amazon Web Services provides you with instant access to machines that you can configure any way you want and only pay for what you use.

As your development and test workload grows, instantly scale up machines with your favorite tools and release them when they are no longer needed. With full administrator access, AWS allows you to use Java, Ruby, Node.JS, .Net, PHP, Python, or any other language, or install any set of tools you need to test your software.

The Relus Cloud DevOps Process


Analyze the Environment

Our team delivers best practices, create roadmaps for your organization, and fixes your biggest pain points.

Plan the Environment

Our team of experts will plan an optimal environment for your business’ software delivery needs.

Build the Environment

Our innovative DevOps architects will build the best and most tailored environment for your business.

Evolve the Environment

We’ll continue to evolve your environment as your needs and business evolve.

Featured DevOps Resources 

DevOps Tools: The Least Important Factor

DevOps success is more dependent on culture, organizational buy-in, and skill sets than what tools are used to get the job done. A hammer in the hand of a computer engineer will generate some destruction, the same hammer in the hands of a carpenter will build a home.

Cleaning Up Your Data Lake

Tremendous value can be found in an organization’s data lake. This is especially true with the decreasing cost of storage during the last few years.

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