AI
The AI Remediation Bottleneck: Why the Software Supply Chain Demands Radical Openness
For years, the DevSecOps movement has operated on a foundational premise that if you detect a vulnerability, you triage it, patch it, and redeploy. This cycle assumes that our capability to remediate ...
Upbound Unfurls Control Plane for Managing AI Inference Workloads
Upbound today revealed it has extended an instance of the open source control plane it developed to enable IT teams to manage inference engines running artificial intelligence (AI) models ...
Why Kubernetes Utilization Is Stuck Below 40%
Kubernetes was sold on the premise that clusters would scale themselves into efficient, elastic infrastructure. The reality on most production estates looks nothing like that — average utilization sits stubbornly in the ...
DevZero Launches Automation Platform to Dynamically Rightsize Kubernetes Clusters
DevZero today launched an autonomous infrastructure optimization platform for Kubernetes clusters based on a profiler that continuously monitors clusters, nodes, and individual workloads to build statistical models of demand for resources. Company ...
Securing the Cloud-Native Edge
The job of “protecting the data” in a cloud-native environment used to mean snapshots and offsite copies of stateful workloads. That definition is breaking down quickly. Once an organization starts running RAG ...
Together, Edera and Minimus Claim They Can Protect Your Software From AI Hackers
Hopefully, they can deliver because AI programs like Anthropic’s Mythos AI are cracking open programs faster than an otter can shuck oysters. MINNEAPOLIS — At Open Source Summit North America, Edera, a ...
Kubernetes Was the Easy Part
Kubernetes was hard. Nobody who lived through the early container years should pretend otherwise. The industry had to learn a new operating model, a new control plane, a new vocabulary and a ...
Cloud Native Is Becoming AI Native
Open Source Summit North America has always been a good place to see where infrastructure is going before the market fully catches up. This year, the signal is not exactly subtle. The ...
Deploying Docker AI Agents on OCI and OKE
This guide details the architectural transition of AI agents from experimental scripts to "first-class production workloads" using Oracle Cloud Infrastructure (OCI) and Oracle Kubernetes Engine (OKE). It emphasizes a zero-trust, scalable approach ...
Pavan Madduri | | Agentic Architecture, AI, AI agents, containerization, Data Minimization, docker, Event-Driven Autoscaling, GitOps, infrastructure as code, kagent, KEDA, Kubernetes CRD, Kyverno, LLM Inference, MCP server, Model Context Protocol, oci, OCI Generative AI, OCI Vault, OCIR, OKE, OpenTelemetry, Oracle Kubernetes Engine, Production Workloads., Terraform, Virtual Nodes, Zero-Trust Security
Argo CD’s Rise and the Future of AI-Driven Deployments
GitOps went from an emerging practice to a production standard faster than most infrastructure trends. With roughly two-thirds of organizations now running Argo CD in production, the question has shifted from whether ...

