Devops | News, how-tos, features, reviews, and videos
Tests that pass on one run and fail the next, despite no relevant changes to the code, threaten software quality, the speed of delivery, and the happiness of developers.
High-level skills such as validating and monitoring LLMs and learning the AI stack are good areas for technologists to tackle.
AI, digital twin technologies, platform engineering, and chaos engineering are transforming software development and bringing greater automation, productivity, and resilience to devops.
Worried about burning out your DevSecOps team/ Here are three ways that teams and managers can protect their serenity while staying productive.
How we can take advantage of generative AI, common application structures, and systematic code reuse to drive faster and more innovative digital product development.
InfoWorld recognizes the year’s best products in software development, cloud computing, data analytics, AI, and machine learning.
DevSecOps has gained traction in the past decade, but teams still struggle to identify which security practices are most critical to their success. Here are three ways to shift left on security.
A recent study shows a narrowing gap between enterprises' application development skills and the likelihood of a vast data breach.
Building secure, resilient, and scalable cloud-native applications requires a new set of best practices that diverge from traditional application development. Start with these six.
Understanding the landscape of interactions, behaviors, and potential threat vectors is the next frontier of API security. However, four in 10 companies still can’t discover all of the APIs they’re using.
Sponsored Links