AI agents can ship code faster than humans can review it. Cloud Custodian acts as an automated safety net, ensuring all machine-deployed infrastructure follows security and compliance rules while catching costly misconfigurations before they become security gaps or budget overruns.
A decade of governance: Cloud Custodian at 10 and its role in the agentic AI eraIt uses policies to reduce waste by eliminating idle or underprovisioned resources, including idle training jobs and GPU fleets. It also prevents costly misconfigurations such as oversized storage tiers, ensuring cloud environments stay efficient and well-governed.
A decade of governance: Cloud Custodian at 10 and its role in the agentic AI era… To validate this approach, we built an environment that reflects the fragmented reality of today’s AI infrastructure. As illustrated in the architecture diagram, we set up an environment that bridges Nvidia A100 nodes in Quebec with AMD MI300X nodes in Atlanta. …
… Why Cloud Custodian is essential for AI governance Automated Guardrails : Cloud Custodian provides the structured, programmable boundaries required when AI agents manage infrastructure. and when high-cost AI workloads like GPU fleets and model serving endpoints are provisioned . …
… In this blog post, we’ll explore how AI is revolutionizing cloud native workloads, the benefits AI brings to cloud native environments, and how AI itself gains from powerhouse tools like Kubernetes. …
… Outcome: 30 Minutes to compliance By leveraging Higress’s native NGINX compatibility and AI-assisted validation, infrastructure migration was achieved at lightning speed: The retirement of Ingress NGINX is not just a migration hurdle, but an opportunity to upgrade to a more resilient, AI-ready arch… …
… Grainger and a CNCF Golden Kubestronaut. He specializes in architecting massive, self-healing multi-cloud infrastructure and pioneering ‘Agentic Ops’ for enterprise Kubernetes environments. …
… In cloud native environments, this friction tends to show up at the boundaries between systems: connecting OpenTelemetry collectors to backend analysis systems, propagating trace context across service meshes, ensuring log correlation with trace IDs, or configuring alert rules that reflect the actu… …
… Panelists agreed the most important signal is alignment with the Kubernetes AI Conformance program , which identifies the essential primitives for serving and training AI at scale, guaranteeing interoperability across environments. …
… We operate a platform that automatically handles the failure of any pod, any node, any infrastructure component – and then we run security on it with zero isolation, zero failure domains, and zero plan for what happens when the kernel, the single piece of shared infrastructure, is the thing that fa… …
… Key initiatives include emerging drafts for Generative AI Agentic Systems Issue 2664 to track tasks, memory, and actions, and conventions for AI Sandboxes Issue 3583 to monitor ephemeral code execution environments. “Jaeger will map these new standard operations in the UI to provide clear visibilit… …
… Conversely, only a tiny minority less than 4% reported that AI usage is explicitly prohibited in their environments. This pragmatic approach extends to how maintainers handle AI-generated contributions: A solid majority follow their standard review process without applying special filters. …