Tricentis Taps Generative AI to Automate Application Testing
Tricentis is adding AI assistants to make it simpler for DevOps teams to create tests.
Your AI Might be Lying to You
Simple tests can demonstrate whether a code generator is actually doing what you ask.
Our Infrastructure is Still Expanding
Infrastructure is expanding in almost every possible way, and this creates more of a burden on every aspect of IT, specifically DevOps.
How Generative AI Enables Unified Continuous Testing Platforms
Generative 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
For 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
Cognition 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 context of continuous integration/continuous deployment (CI/CD) pipelines, where the need for speed and efficiency must be balanced with the demands for quality and […]
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
The 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.
Dell Brings DevOps to Edge Computing Environments
Dell Technologies updated its edge computing platform to make it simpler to programmatically provision infrastructure using DevOps best practices.
DevOps: What’s the End Goal?
Don MacVittie asks the existential question: What, exactly, are we trying to achieve through DevOps’ integration with AI?
Embracing the Future: Navigating the Waves of AI in DevOps
Generative AI provides a unique competitive edge, enabling superior digital experiences, innovative products and services and proactive responses.
What the Evolution of Specialized Hardware for AI and ML Means for DevOps
DevOps teams should consider a number of different strategies to ensure apps remain efficient and portable across various chip architectures.
IT Professionals Have Mixed Emotions About AI
A JumpCloud survey revealed IT pros are excited about the potential positives of AI, but also realize the possible negative security implications.
Data Gravity Will Remain an Issue
Don MacVittie explains we’re in the ‘dream world’ of data – where the cloud-native stack realizes the dream of portable programming.
How GitHub Approaches Internal Developer Experience
Bill Doerrfeld explores how GitHub approaches DX and instills these traits into its software development culture.
Survey Surfaces Raft of Ongoing Agile Development Challenges
While most software developers are using agile development methodologies in the SDLC, only 44% said it is working very well (11%) or somewhat well (33%).