Trigent

MARCH 8, 2021

Further, given the blurring lines between QA and development with testing being integrated across the SDLC, there is a strong need for the partner to have strengths across DevOps, CI/CD in order to make a tangible impact on the delivery cycle.

Testing 98

Testing Software Review DevOps Technical Review 98

LaunchDarkly

JANUARY 17, 2019

If a software bug makes it into production, it can crash your entire application. Edith is also the host of a podcast called To Be Continuous , and I recommend checking it out if you’re interested in learning about continuous delivery and DevOps and many other technical subjects. SPONSOR MESSAGE].

Software Engineering 40

Software Engineering Engineering Software Technical Cofounder 40

Blue Sentry

MAY 17, 2021

Is ML applicable to my business? From process automation and personalization to behavioral analysis and customer support, machine learning is deploy-ready and instantly applicable. Even if they do, many projects get stuck in the ever-so-fragile SDLC. So, this leaves CEOs and CTOs with a few understandable questions.

Artificial Inteligence 52

Artificial Inteligence Machine Learning Artificial Intelligence Technical Review 52

Apiumhub

FEBRUARY 27, 2019

The IT industry is all up for cloud native architecture and software development that is way better than the traditional architecture of developing monolithic software applications. Developers can leverage CloudCore to create, develop, deploy applications for Kubernetes. Continuous Delivery. But why Jenkins in CI/CD?

Architecture 40

Architecture Software Cloud Development 40