At Excella, we live DevOps and are known for our DevOps thought leadership. We implement DevOps on all our projects to help our clients grow and achieve better outcomes with measurable results.
So, what is DevOps exactly?
It’s a cultural mindset shift rooted in 5 key aspects abbreviated ‘CALMS.’ ‘CALMS’ stands for Culture, Automation, Lean, Measurement, and Sharing. Organizations that implement this DevOps framework can quickly transform into high-performing organizations that move faster by shortening the software development lifecycle while increasing safety, value, and productivity.
Our approach to DevOps will allow your team to shorten cycle times, eliminate waste, and accelerate value delivery. We remove silos to create cross-functional teams that work together to deliver the most value for your product. We create Continuous Integration and Continuous Delivery (CI/CD) pipelines that allow us to run automated tests that ensure quality, security, and reliability as we deploy to production at record speeds. This allows us to experiment more, test and gather feedback, ensure users’ needs are met, and continually improve.
We have had great success in implementing the ‘CALMS’ DevOps framework for our clients. After Excella successfully integrated DevOps on our client’s myUSCIS project and their USCIS Verifications Program, they won the ACT-IAC Igniting Innovation award two years in a row.
DevOps is an integral part of our culture and the way we work. One of our founding partners, Jeff Gallimore, is a well-known DevOps Influencer who is extremely passionate about sharing how DevOps can transform organizations. As part of the programming committee for the annual DevOps Enterprise Summit, he produces guidance that helps define the industry.
Read this fact sheet to learn how your organization can get remarkably better outcomes with DevOps, such as:
This summer, with Excella’s support, the Office of Personnel Management’s USA Staffing Onboarding module was...
The National Institute of Standards and Technology (NIST) recently proposed four principles for explainable artificial...