AI-generated infrastructure code is exposing a growing security gap, pushing platform teams to add stronger automated gates, provenance tracking and human review before Terraform, Kubernetes and CI/CD changes reach production.
HashiCorp Introduces tfpolicy, a Native Policy Framework for Terraform
HashiCorp’s new tfpolicy framework brings native policy-as-code governance to Terraform using HCL and lifecycle-aware infrastructure checks.
Configuration Drift in a Multi-Cloud World
Configuration drift is the gap between the infrastructure state declared in code and the state actually running in your environment. It occurs when resources are changed outside of your infrastructure […]
Risk-Based Review for Infrastructure as Code Pull Requests
Not every infrastructure pull request deserves the same review path. A tag change in a development account and a network-policy change in production should not create identical reviewer load. When […]
We Spent 15 Years Automating Infrastructure. Now We’re Automating Decisions
As DevOps shifts from deterministic infrastructure automation to AI-driven probabilistic judgment, organizations face a profound transition from automating tasks to automating operational reasoning. Discover why this requires a fundamental evolution in platform engineering, trust, and governance.
Beyond the Build: Integrating Security into CI/CD Pipelines
In today’s fast-paced software development landscape, Continuous Integration and Continuous Deployment (CI/CD) pipelines are essential for delivering applications efficiently. However, the speed and automation they offer can inadvertently introduce security […]
How to Manage Operations in DevOps Using Modern Technology
How modern DevOps teams manage operations using automation, observability, AIOps and self-service to reduce toil and improve reliability.
Can Claude Agents Replace DevOps Teams? A Practical Reality Check
Are AI agents replacing DevOps engineers? Explore how tools like Claude are shifting DevOps from rigid automation to autonomous, adaptive systems, and why human judgment remains the critical link in managing system complexity and risk.
If it Isn’t Code, it’s Just Advice
In the world of AI coding, success hinges on code-native solutions that integrate and verify changes directly in the codebase. Many AI tools fail by relying on external dashboards, lacking the reproducibility and testability that code provides. To truly harness AI, solutions must automate and validate changes within the existing code ecosystem, ensuring reliability and efficiency.
Policy as Code for Cost Control, Not Just Compliance
Policy as code can do more than enforce compliance. Learn how platform teams use guardrails, tagging and sizing policies to prevent cloud cost waste early.
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