Contributed Content
Making Observability Actionable: Turning Metrics, Logs, and Traces into Better Business Outcomes
Neel Shah | | actionable observability, AI-powered observability, business observability, cloud observability, DevOps observability practices, metrics logs traces, MTTR reduction observability, observability business value, observability cost optimization, observability customer experience, observability digital transformation, observability for revenue growth, observability real-time monitoring, observability ROI, observability strategyDiscover how actionable observability connects metrics, logs & traces to real business outcomes—driving revenue, reliability & customer satisfaction ...
Can Vibe Coding Work on an Enterprise Level?
Armelle Dawson | | AI coding tools, AI productivity tools, AI-generated code, enterprise AI coding, enterprise AI governance, low-code AI apps, slopsquatting risks, vibe coding, vibe coding risks, vibe coding securityVibe coding promises AI-generated apps in seconds, but is it enterprise-ready? Explore risks, governance needs, and productivity potential ...
Coding at the Speed of AI: Innovation, Vulnerability, and the GenAI Paradox
John Trest | | AI code review, AI Governance, AI hallucinations, AI in DevOps, AI in software development, AI security best practices, AI-generated code vulnerabilities, ChatGPT, cross-site scripting, developer training, devsecops, EU AI Act, GenAI security risks, generative AI, GitHub Copilot, hardcoded credentials, insecure deserialization, Log4Shell AI reproduction, Replit Ghostwriter, secure coding, U.S. Executive Order 14110Generative AI accelerates software delivery but also reintroduces vulnerabilities, making secure coding practices, oversight, and developer training essential for safe adoption ...
How Engineers are Automating More with Less: Trends in DevOps Tooling
Durojaye Olusegun | | AI in DevOps, anomaly detection, ArgoCD, autonomous operations, CI/CD evolution, CloudRay, composable workflows, cost-conscious automation, Dagger, developer experience, devops automation, edge automation, Flux, GitHub Actions, GitLab DevSecOps survey, GitOps automation, infrastructure as code, low-code automation, modular pipelines, no-code DevOps, observability, platform consolidation, serverless workflows, Temporal, test automation, toolchain consolidationDevOps automation is shifting from complex, monolithic pipelines to lean, modular, AI-enhanced workflows—driving efficiency, cost savings, and better developer experience ...
AI Agent Onboarding is Now a Critical DevOps Function
Alexander Williams | | agent lifecycle management, agent resilience, AI agent onboarding, AI deployment best practices, AI feedback loops, AI in production, AI observability, AI security risks, autonomous AI agents, CI/CD for AI agents, DevOps and AI, DevOps ownership, digital operations, generative AI governance, guardrails for AI, human-in-the-loop, infrastructure automation, LLM-based agents, Operational Debt, scoped permissionsOnboarding AI agents is no longer optional—DevOps must treat them like new engineers, with guardrails, observability, and lifecycle management to prevent operational debt ...
Staying on Top of Shadow AI
Alexander Williams | | AI adoption strategy, AI compliance, AI governance best practices, AI governance framework, AI in DevOps, AI in regulated industries, AI oversight, AI security risks, AI usage policy, AI workflow monitoring, data governance and AI, enterprise AI adoption, generative AI risks, responsible AI, Shadow IT, unapproved AI toolsShadow AI is the new shadow IT—slipping into organizations unseen, reshaping workflows and decisions before leadership realizes it exists ...
Can AI Replace DevOps Engineers?
Let’s cut to the chase: no, it can’t. Not now. Not anytime soon. In my experience working with engineering teams across industries, I’ve seen just how fast cloud infrastructure is evolving. Automation ...
White Paper: The Future of DevSecOps in a Fully Autonomous CI/CD Pipeline
Abstract The growing complexity of modern software development and the increasing speed at which organizations need to deliver software have led to the widespread adoption of DevOps practices, particularly continuous integration/continuous deployment ...
Context Engineering is the Key to Unlocking AI Agents in DevOps
Harshil Shah | | AI agents, AI coding tools, AI developer tools, AI IDEs, AI in DevOps, AI software development, AI workflows, AI-Driven DevOps, AI-powered development, context engineering, context provisioning, devops automation, intelligent agents, MCP protocol, SDLC AIAI agents can code, test, and deploy—but only with the right context. Learn how context engineering unlocks DevOps-ready AI for the full SDLC ...
FinOps as Code – Unlocking Cloud Cost Optimization
Joydip Kanjilal | | CI/CD cloud cost control, cloud budgeting, cloud cost optimization, cloud financial management, Cloud Governance, cloud spending control, FinOps, FinOps as Code, FinOps best practices, FinOps culture, FinOps pillars, infrastructure as codeLearn how FinOps and FinOps as Code help businesses optimize cloud spending with automation, accountability & cost-aware culture for digital transformation ...
What Really Matters When Picking a Cross-Platform Stack Today
Oleksii Kyslenko | | app architecture patterns, app scalability, best cross-platform frameworks, BLoC pattern, clean architecture Flutter, cross-platform app costs, cross-platform app performance, cross-platform development, Flutter vs React Native, mobile app frameworks 2025, MVVMCross-platform frameworks like Flutter & React Native dominate 2025. Learn how to choose the right stack and architecture for scalable, cost-efficient apps ...
