Doin’ DevOps
CISA’s 2026 SBOM Guidance Adds Hash Requirements and AI Coverage
Tom Smith | | AI supply chain security, CISA, CISA SBOM 2026, CMMC, component hashes, component licensing, continuous SBOM validation, CycloneDX, FBI, FedRAMP, NSA, open source security, SaaS security, SBOM automation, SBOM minimum elements, software bill of materials, software procurement, Software Supply Chain Security, software transparency, SPDX, vendor risk managementCISA’s updated 2026 SBOM minimum elements expand software transparency requirements to AI, SaaS and open source while adding hashes, licenses and stronger validation ...
CodePen 2.0 Turns a Design Playground Into a Real Deployment Tool
Tom Smith | | browser coding, browser-based IDE, Cloud development environment, Cloud IDE, CodePen, CodePen 2.0, CodePen Projects, custom domains, developer tools, devops, file-based projects, front-end development, one-click deployment, production deployment, real-time collaboration, shadow infrastructure, version history, web developmentCodePen 2.0 transforms the front-end playground into a file-based development platform with collaboration, version history and one-click deployment ...
AI Agents Are Writing Your Infrastructure Code. Is Anyone Governing It?
Neel Shah | | agentic infrastructure, AI agent governance, AI coding assistants, AI-generated infrastructure, cloud misconfiguration, cloud security automation, continuous drift detection, devops security, IAM misconfiguration, infrastructure as code security, infrastructure compliance, infrastructure guardrails, Kubernetes security, platform engineering security, policy as code, RBAC for AI agents, secure-by-default platforms, SRE governance, StackGen Aiden, Terraform securityAI agents now generate infrastructure code at scale, but security pass rates are stuck at 55%. Here’s how teams can close the governance gap ...
From Reactive Monitoring to AI-Driven Operational Intelligence
Sneha Gullapalli | | AI observability, Amazon Q, Apache Iceberg, automated root cause analysis, AWS CloudWatch, AWS operations, CloudWatch Logs, DevOps observability, Distributed Tracing, Five Whys, GenAI observability, incident response, LLM monitoring, log lake, MTTR reduction, operational intelligence, proactive monitoring., RAG latency, S3 Tables, token usage monitoringTraditional monitoring often meant chasing alerts and toggling between dashboards after an issue had already impacted users. AWS CloudWatch — long the backbone of metrics, logs and traces on AWS — is ...
AI Moved the Bottleneck From Writing Code to Understanding and Trusting It
Ted Julian | | AI code generation, AI code security, AI coding tools, AI investment ROI, AI-generated code, application security, automated code review, code quality, code review, codebase visibility, compliance, dependency risk, developer productivity, devsecops, Engineering leadership, engineering metrics, engineering ROI, production incidents, pull request review, SCA, software composition analysis, software delivery, software development productivity, software governance, technical debtAI coding boosts velocity, but without stronger review, governance and codebase visibility, teams risk higher costs, security gaps and production failures. TL;DR ...
SpaceXAI’s Grok 4.5 Undercuts Anthropic and OpenAI on Coding Agent Pricing
SpaceXAI's Grok 4.5 undercuts Opus 4.8 on price, matching it on key coding benchmarks, and adds new safeguards against cybersecurity risks ...
How to Build a DevSecOps CI/CD Pipeline on Azure With GitHub Actions
Fix security problems when they’re cheap to fix, which is before the code is deployed. A pipeline that enforces this automatically is what makes that principle real ...
Shadow Mode Continuous Integration: The Missing Test Layer for AI Agents
Autonomous agents require CI/CD pipelines that evaluate behavior, not just artifacts. Containerized shadow mode gives platform teams a practical control point: Run the agent in an isolated Docker environment, replay realistic workflows, ...
From Alerts to Intelligence: Building a Production Self-Healing System for Port-Down Failures
Big, distributed computing systems seldom have visible failures. Most of them start without any bang, frequently with a health-check disconnection, a failed TCP connection or a service port that is no longer ...
Self-Healing Infrastructure With Cognitive Automation: How LLMs and Ansible Transform Middleware Reliability
Infrastructure reliability has always been central to enterprise success, yet traditional automation methods often fall short in handling complex, dynamic environments. With the rise of large language models (LLMs), a new paradigm ...
Building CI/CD Pipelines for On-Prem Azure DevOps: What the Cloud Docs Don’t Tell You
The engineering that makes on-prem CI/CD reliable is invisible when it works. When it does not work, the failures are subtle and the documentation is thin ...
Why AI-Driven Devops is Exposing the Limits of Traditional Toolchains and What Comes Next for Engineering Teams in 2026
The future belongs to adaptive systems that can learn, adjust and self-correct in real-time. Teams that invest in observability, modularity and AI-aware governance today will be positioned to thrive in this new ...
