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Prompt Injection in Cloud-Native AI Is Now an Access Control Problem
For a long time, prompt injection was treated like other model behavior problems, such as jailbreaks or strange responses. The usual fix was to improve the system prompt, add stronger filters, or ...
Autoscaling AI Workloads on Kubernetes With KEDA and What it Means for Agentic Systems
KEDA can scale Kubernetes AI workloads on real demand signals such as queue depth, helping model-serving and agent workloads respond faster while reducing idle compute costs ...
Rearchitecting Legacy Systems for Real-Time AI: Practical Patterns for Cloud-Native Migration
Artificial intelligence is changing what enterprises expect from software platforms. Systems that once processed transactions in batches are increasingly expected to evaluate events, apply intelligence and respond in near real time. The ...
Cloud-Native Complexity Is a Cost: When More Platform Layers Stop Adding Value
Cloud-native environments rarely become complex overnight. In most teams, complexity builds gradually. A platform may begin with containers and a basic deployment process, then grow to include orchestration, CI/CD, observability, security controls, ...
When Kubernetes Meets Real Data Center Networking: Building a Routable, Resilient On-Prem Cluster with BGP and ECMP
A routable on-prem Kubernetes design using BGP, ECMP and BFD can reduce NAT and overlay complexity, improve failure recovery and make packet paths far easier to troubleshoot ...
Best Strategies for Cloud Native Cost Optimization
The rise of cloud-native technologies—containers, microservices, serverless computing and Kubernetes—has pushed companies to think more carefully about how to control the costs associated with these technologies. As the number of organizations deploying ...
Docker Hub vs. Private Registries: Security Tradeoffs
In the race to accelerate software delivery, Docker Hub has become a default starting point for developers and organizations alike. It offers convenience, accessibility, and a vast ecosystem of pre-built images that ...
Red Hat Readies an MCP Server to Help LLMs Manage Kubernetes
Red Hat is building an open source MCP server extension to help developers and administrators manage Kubernetes and Red Hat’s own OpenShift Kubernetes distribution. The extension can help AI assistants like Visual ...
Kubeflow’s Graduation Is a Vote for Kubernetes as the AI Control Plane
Kubeflow’s CNCF graduation signals growing confidence in Kubernetes as a common control plane for production AI workloads, from training and pipelines to governance and inference ...
CNCF Graduates Kubeflow for Production AI on Kubernetes
The Cloud Native Computing Foundation has graduated Kubeflow, giving the open source AI and machine learning platform CNCF’s highest maturity designation as enterprises move more AI workloads into production. Kubeflow runs on ...
