Topics
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 ...
Linkerd 2.20, the Latest Release of the Cloud-Native Service Mesh, Arrives
Linkerd 2.20 maintainer Buoyant claims it has slashed control plane memory usage by 85% in this version. If you want a lean, mean cloud-native mesh, Linkerd is for you. This latest release ...
Minimus Makes Hardened Container Images Freely Available to All Developers
Minimus today announced it is making its entire catalog of hardened container images available for free without requiring an application developer to even register to download them ...
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 ...
GitOps Wasn’t Built for Models, and It Shows
GitOps won the deployment argument. Everything goes in Git, the cluster reconciles itself to match, and your repository becomes the one place that tells you what’s actually running. It’s clean and auditable ...
Google OpenRL Tames AI Model Tuning, Kubernetes-Style
Google has created OpenRL to manage the fine-tuning of large language models (LLMs) in much the same way its Kubernetes container orchestrator streamlines the management of containers. An open source project from ...
GitOps in Practice: How to Design a Scalable CI/CD Pipeline with GitLab and GKE
A scalable CI/CD pipeline on GitLab and Google Kubernetes Engine starts with one decision: do you treat the pipeline as a delivery system you design, or as a YAML file you copy ...
Stop Treating Your Models Like Microservices
A few years ago, it felt like Kubernetes had become the universal answer to infrastructure problems. Teams wanted resiliency? Kubernetes. Faster deployments? Kubernetes. Scalability? Kubernetes again. Eventually, the industry stopped treating cloud-native ...
How Cloud-Native Complexity is Outpacing Test Automation Strategy
Cloud-native architectures evolve faster than most test automation strategies. Understand where the gap is widest and what teams can do about it. ...
Komodor Brings Autonomous AI to SRE With Reliability-First Cloud Optimization
SRE teams are under constant pressure to balance reliability, performance, and cloud costs. Komodor is tackling the challenge with new AI-powered Capacity Intelligence and Predictive Placement capabilities designed to proactively eliminate infrastructure ...
