Enterprise DevOps
How Generative AI Enables Unified Continuous Testing Platforms
Marc Hornbeek | | ai, application testing, continuous testing, generative AI, platform engineering, testingGenerative AI can help address the challenges of unifying diverse testing needs into a single continuous testing platform ...
The IT-DevOps Life Cycle is Like a Pyramid That Keeps Growing
Don Macvittie | | application testing, coding assistant, IT architecture, SaaS, SBoM, SCA, security testing, workloadFor the most part, the demand for new technology to solve age-old problems has been a net increase in workload ...
Cognition Labs Previews Devin AI Software Engineer
Mike Vizard | | ai, Cognition Labs, continuous testing, Devin, software development, software engineeringCognition Labs previewed Devin, which it describes as the world’s first software engineer based on artificial intelligence (AI) ...
Is it Time to Reconsider CI?
If you have issues with Jenkins, look around. There are options. Find the best CI tool for you, not just the most convenient ...
Applying AI/ML to Continuous Testing
Artificial intelligence (AI) and machine learning (ML) can play a transformative role across the software development lifecycle, with a special focus on enhancing continuous testing (CT). CT is especially critical in the ...
What’s Driving Changes in Open Source Licensing?
Years of SaaS innovation and disruption threaten the profitability of vendor-driven open source projects, forcing licensing changes ...
Google is Right to be Afraid
Google’s recent stumbles come at a rather inopportune time, but the concerns that made them actually address the controversy are worse than most know ...
Techstrong Research PulseMeter: Caching Transforms Application Performance
Mitch Ashley | | application performance, Caching, database, digital transformation, Redis, Techstrong ResearchThe Techstrong Research PulseMeter report underscores the critical role of database caching in supporting real-time applications and digital experience delivery ...
Driving the DevOps Evolution: ArgoCD, Tekton and Seamless Migrations
The evolution of CI/CD frameworks reflects the DevOps industry's dynamic nature and the demand for efficient software delivery pipelines ...
The Great Debate: The Future of Humans and Software in the Age of AI
A balanced approach to AI adoption, integration and use in software development would result in a future where AI and human capabilities are intertwined ...
Survey: Significant Shift in IaC Tool Preferences
A Firefly survey suggests usage of infrastructure-as-code (IaC) tools is evolving rapidly in the cloud computing era ...
Forget Shift Left: Why ‘No Shift’ is the Future of Software Innovation
A no shift strategy argues for developing and testing directly in production, bypassing the traditional dev-to-production delivery pipeline ...
