Kubernetes struggles to scale Node.js efficiently due to a mismatch in resource usage patterns. Autoscaling can be sluggish with bursty traffic, leading to revenue risks and performance issues. Teams must rethink resource allocation and scaling strategies to optimize Node.js efficiency in Kubernetes..

A dev-built Kubernetes CLI framework reshapeskubectlfor how teams actually work. Commands get grouped by role - dev, SRE, sec, admin - instead of by resource. It bakes in defaults forKyvernopolicies, encourages muscle-memory workflows, and wires up real-time troubleshooting to shrink downtime in pro..

Istio finally bringsinternal HTTPS routingwithSNI-based traffic rules. Services in the mesh can now talk over port 443—TLS fully intact. Just like in prod. TLS terminates at the ingress gateway. Routing pivots on SNI, not headers. Which makes this much closer to real-world mTLS flows. What’s the pla..

Software Engineers still own the cloud-native job boards in 2025 - nearly47%of all Kubernetes-tagged listings. DevOps holds onto second. But Platform Engineers just leapfrogged SREs, which have slid 30% since 2023...

The newHeadlamp Karpenter Pluginwires real-time autoscaling insight straight into the Headlamp UI. It showsKarpenterresources, live metrics, scaling moves—no kubectl spelunking required. NodePoolsandNodeClaimsget mapped to core Kubernetes objects. You can tweak configs in the UI, get validation on t..

Agentic AI flips the old model. Instead of stateless, event-by-event workloads, we getstateful, self-steering systemsthat observe, reason, plan, and act - on loop. Kubernetes steps up as the OS for this next phase. Boosted by platform engineering, it brings the right mix:ephemeral compute, persisten..

A production network got hammered by too many Auth0 token requests. The source? EKS workloads tucked behind a shared NAT Gateway. No easy trail. Engineers stitched it together usingVPC Flow Logs,pod-to-node maps, and some sharpIstio ServiceEntry logs. Even with Kubernetes CNI doing its NAT-obscuring..

Reo.Dev has raised $4 million in seed funding, led by Heavybit, to enhance its AI-powered go-to-market platform for developer-first companies and expand its U.S. presence.

Anthropic's AI model, Claude Sonnet 4.5, exhibits self-awareness by recognizing test scenarios, complicating safety evaluations and raising concerns about potential strategic behavior, similar to observations in OpenAI models.