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Tigera Extends Project Calico Reach to Secure AI Workloads
Tigera this week added an instance of its integrated container networking and security platform for Kubernetes environments that is specifically designed for artificial intelligence (AI) workloads. Based on open source Project Calico ...

OpenTofu and the New Era of Infrastructure as Code
Terraform’s license shift sparked OpenTofu’s rise. Alan explores how IaC now thrives with both HashiCorp’s Terraform and CNCF’s OpenTofu shaping the future ...
Alan Shimel | | Business Source License BUSL, cloud infrastructure automation, cloud-native infrastructure, CNCF OpenTofu, HashiCorp license change, IaC, IaC ecosystem, IaC governance, IaC innovation, IaC strategy for enterprises, infrastructure as code, Linux Foundation, MPL to BUSL, open source IaC, OpenTofu, OpenTofu roadmap, Terraform, Terraform providers, Terraform vs OpenTofu, vendor lock-in

Supply Chain Security: Cloud Native’s Weakest Link?
For years, the conversation in security revolved around networks, firewalls, and endpoints. The perimeter was king. But in the cloud-native era, the old perimeter has dissolved into microservices, APIs, and pipelines. What’s ...

Runtime Visibility: The Missing Layer in Cloud-Native Security
Cloud-native security can’t rely on old perimeter defenses. With workloads spinning up in seconds, runtime visibility is now the missing layer leaders must prioritize. Learn why observability is security, how tools like ...

Security Tool Sprawl: The New Breach Vector for Cloud Native
“More is better” has always been a dangerous assumption in tech. In security, it’s downright reckless. Across the cloud-native ecosystem, organizations are drowning in their own defenses: dozens of overlapping tools, agents, ...

You are More Likely to Land a Lead-Level Cloud-Native Role Than a Junior One!
Cloud-native job market 2025: Software Engineers dominate at 47%, followed by DevOps, Platform Engineers, and SREs. See role trends and insights ...

eBPF: The Silent Power Behind Cloud Native’s Next Phase
eBPF is quietly reshaping cloud native computing, powering service meshes, observability, networking, and security directly in the Linux kernel. By reducing sidecar overhead, enabling zero-instrumentation telemetry, and enhancing runtime protection, eBPF is ...
Alan Shimel | | Cilium eBPF, cloud native 2.0, eBPF, eBPF in DevOps, eBPF networking, eBPF performance monitoring, eBPF security, extended Berkeley Packet Filter, Falco eBPF, Istio Ambient Mesh eBPF, kernel-level programmability, Kubernetes eBPF, Linux kernel observability, Pixie observability, service mesh without sidecars, Tetragon runtime security, zero-instrumentation observability

vCluster Embraces Karpenter for Dynamic Scaling of Virtual Kubernetes Nodes
vCluster Labs today added an ability to automatically scale nodes running on a virtual Kubernetes cluster. Company CEO Lukas Gentele said the Auto Nodes capability added to the vCluster platform are enabled ...

Shimmy’s Early Look: Can’t-Miss Sessions at KubeCon + CloudNativeCon North America 2025
CNCF turns 10 as KubeCon + CloudNativeCon North America 2025 heads to Atlanta this November. With 300+ sessions on Kubernetes, AI, platform engineering, security, and observability, the event showcases the next decade ...
Alan Shimel | | AI workloads on Kubernetes, cloud native AI, cloud native events, CloudNativeCon 2025, CNCF community, DevOps conferences 2025, KubeCon 2025, KubeCon keynotes, Kubernetes conference Atlanta, Kubernetes security, multi-cluster orchestration, observability Kubernetes, platform engineering, supply chain security

Fitting Square Kubernetes Into the Round AI-Native Apps
Kubernetes tamed cloud-native workloads, but AI-native apps push its limits. Can it evolve for GPU-first, data-intensive AI — or is it time for new control planes? ...
Alan Shimel | | AI control plane, AI infrastructure, AI pipelines Kubernetes, AI-native applications, cloud-native vs AI-native, container orchestration AI, distributed training orchestration, GPU scheduling, inference at scale, internal developer platforms, Kubeflow, KubeRay, kubernetes, Kubernetes AI workloads, Kubernetes future, Kubernetes limitations, Kubernetes vs AI, platform engineering, Ray on Kubernetes, Volcano scheduler