Tag: software delivery
DevOps Dozen 2026 Nominations Are Open: Recognizing the People and Technology Moving DevOps Forward
When we launched the DevOps Dozen in 2015, we wanted to recognize the people, projects and companies helping this community move forward. We saw the work happening across DevOps every day at ...
Why Old Azure DevOps Releases Survive a Pipeline Cutover
Old Azure DevOps Classic releases can retain retired deployment tasks, Helm names, image paths and variables long after a pipeline cutover, leaving stale redeploy paths active ...
Talentica Software Unfurls Managed AI Service to Optimize Software Delivery
Talentica Software this week launched a managed software delivery service that leverages artificial intelligence (AI) to enable DevOps teams to deploy applications developed using AI coding tools at scale. Company CTO Manjusha ...
Speeding Up Software Delivery Is Changing How We Debug Performance
Deployment frequency has become one of the clearest markers of a mature engineering organization. Teams that once shipped monthly now ship daily, and teams that shipped daily now ship several times a ...
IT Outsourcing Versus In-House Development
The debate isn't new — but the stakes are. In 2026, the gap between companies that get this decision right and those that don't is measured in product cycles, burn rate, and ...
GitHub’s August Outages Show Growth Is Outpacing Infrastructure
GitHub's August 2026 report details five outages tied to Actions and Copilot growth outpacing infrastructure. Here's what platform teams should know ...
Test Creation Was Never the Bottleneck
Something specific happened to software delivery in the past two years. The 2026 survey data is unusually clear about what it was. Sonar's 2026 State of Code Developer Survey found that AI-generated ...
AI Has Turned Verification Into the New DevOps Bottleneck
The next DevOps challenge is not generating more software. It is proving, quickly and repeatedly, that a growing volume of machine-generated change is fit to ship ...
From the Horse’s Mouth: Anthropic Says AI Has Changed the SDLC
Anthropic’s AI-native SDLC playbook argues that faster coding is shifting the bottleneck to planning, testing, governance, deployment and operations ...
CI/CD for AI-Enabled Applications: Why Traditional Deployment Pipelines Need to Evolve
Traditional CI/CD pipelines are optimized around a familiar assumption: source code changes, automated tests validate the change, a build artifact is produced, and the application is promoted through environments. AI-enabled applications complicate ...
Is Your New DevSecOps Tooling Reducing Work Or Just Adding to It?
Security belongs in the software delivery pipeline. The harder question is where, how often and at what cost. Many pipeline teams eventually add security scanning to CI/CD, and relatively few go back ...
How Test Management Tools Give Engineering Teams the Visibility They Need to Ship With Confidence
Test management tools do more than track results. Learn how they give engineering teams the coverage visibility needed to ship with confidence ...

