Remove Article Remove Continuous Integration Remove Fractional VPE
article thumbnail

Opportunities for DevSecOps in 2021

Dzone - DevOps

For this article, I’m sharing what IT professionals now see as the potential for DevSecOps. In a recent article for DZone , I described how BizDevSecOps is the evolution of DevSecOps, and in many ways, this reality is already here. Your custom code whether developed by staff, consultants, or outsourced. are decades ahead.

article thumbnail

The Best Product Engineering Org in the World

James Shore

Software engineering productivity cant be measured. Martin Fowler wrote an article in 2003 titled Cannot Measure Productivity. This is a talk about what you do, as VP of Engineering, when somebody asks for the impossible. They also love test-driven development, pairing, continuous integration, and evolutionary design.

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Trending Sources

article thumbnail

DevOps influencers to follow this year

Apiumhub

John is a consultant and helps companies with Devops, Puppet, Docker, Kubernetes, etc. Apiumhub has a team of DevOps experts who regularly write articles about Docker, Continuous Integration, DevOps projects, etc. . And if you found this article with DevOps influencers interesting, you might like…. John Arundel.

DevOps 72
article thumbnail

DevOps vs Site Reliability Engineering: Concepts, Practices, and Roles

Altexsoft

For over a decade, two similar concepts — DevOps and Site Reliability Engineering (SRE) — have been coexisting in the world of software development. This article explains how DevOps and SRE facilitate building reliable software, where they overlap, how they differ from each other, and when they can efficiently work side by side.

DevOps 96
article thumbnail

Why a data scientist is not a data engineer

O'Reilly Media - Ideas

To validate their findings, they contracted another data scientist with a specialty in image processing. In the two hours I spent with the team, it was clear that the algorithm could be distributed on a general-purpose compute engine, like Spark. Continuous integration. A few of these are: Source control. Bug tracking.