Topics
Manifestly Safer, Why Kubernetes Wants Developers to Speak KYAML
KYAML gives Kubernetes developers a stricter, more predictable YAML dialect designed to reduce configuration errors, ambiguity, indentation problems and unexpected type coercion ...
Adrian Bridgwater | | CI/CD, cloud native, cloud native security, cloud-native architecture, configuration management, containers, devops, DevSecOps, Helm, KEP 5295, kubectl, kubernetes, Kubernetes configuration, Kubernetes manifests, Kubernetes security, Kubernetes YAML, KYAML, open source, platform engineering, SIG CLI, YAML, YAML errors
RapidFort Allies with CrowdStrike to Harden Container Images
RapidFort this week revealed it has integrated its container vulnerability remediation platform with the cloud security platform provided by CrowdStrike. Announced at the Fal.Con 2026 event hosted by CrowdStrike, the integration enables ...
Containers Became the Unit of Speed. AI Agents Are Making VMs the Unit of Trust
The container is not disappearing. But as autonomous agents generate code, install packages and invoke tools, cloud-native infrastructure is placing a VM-grade security boundary around it ...
Alan Shimel | | Agent Sandboxing, agent security, agentic AI, AI agents, AI infrastructure, autonomous agents, cloud native security, container security, containers, Docker Sandboxes, Firecracker, gVisor, Kata Containers, kubernetes, MCP security, MicroVMs, platform engineering, RuntimeClass, secure execution, virtualization, workload isolation, zero-trust
DataAgent Emerges From Stealth To Bring Autonomous Remediation to Kubernetes
DataAgent emerged from stealth today with $10 million in pre-seed funding and an agentic AI platform designed to fix production problems inside Kubernetes environments without waiting for a site reliability engineer to ...
Kubernetes v1.37 Enhances Dynamic Resource Allocation
Like many of its fellow projects in the open source community, Kubernetes has seen an increase in pull requests, many of which are no doubt generated by AI. This week’s release of ...
From Controls to Continuous Assurance: Rethinking GRC for Cloud-Native Environments
The standard process of building governance, risk, and compliance (GRC) programs has been straightforward: define a control, document a control, test the control on a regular basis, and generate a report for ...
Echo Acquires Hardened Container Assets from Minimus
Echo today revealed it has acquired technology assets from Minimus, a provider of hardened open source container images, that earlier this week revealed it is shutting down. Those assets will later be ...
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 ...
Kishor Patil | | agentic AI, AI agents, AI infrastructure, AI model serving, cloud native AI, devops, Event-Driven Autoscaling, horizontal pod autoscaling, HPA, inference scaling, KEDA, Kubernetes AI workloads, Kubernetes autoscaling, Kubernetes Event-Driven Autoscaling, platform engineering, Pub/Sub, queue depth, RabbitMQ, Redis, scale-to-zero, SQS
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 ...

