Sidecar vs eBPF Service Mesh: An ADR for 2026 Production Workloads
ADR for sidecar vs eBPF service mesh in 2026 — context, options (Istio Ambient, Cilium Mesh, Linkerd2), trade-offs, consequences, and the decision criteria we settled on.
Backstage 1.30 IDP Setup: Templates, Catalog, TechDocs Production Guide
Production Backstage 1.30 IDP setup — software catalog, scaffolder templates, TechDocs, auth plugins, and a working docker-compose stack with PostgreSQL and Kubernetes ingestion.
GitOps for Industrial Fleets: ArgoCD vs Flux Production Tutorial
GitOps for industrial fleets in 2026 — ArgoCD vs Flux step-by-step, ApplicationSets for thousands of edges, sync waves, and how to handle disconnected sites and rollbacks.
CNI Comparison: Calico vs Cilium vs Flannel vs Multus 2026
Kubernetes CNI showdown — Calico, Cilium, Flannel, Multus compared on performance, eBPF data plane, network policy, multi-network, and the 2026 production picks for industrial edge.
Karpenter Node Autoscaling for Kubernetes: Production Deep Dive
How Karpenter replaces cluster-autoscaler in production — NodePool design, consolidation, disruption budgets, spot-on-demand mixing, and real-world cost savings (2026).
Cilium eBPF Service Mesh: L3-L7 Networking, Observability, Security 2026
Complete Cilium service mesh guide — eBPF datapath, Envoy integration, L7 policies, Hubble observability, and sidecarless vs Istio trade-offs.
eBPF for Observability: How Kernel-Level Tracing Replaced Traditional APM
eBPF observability guide — verifier, maps, probes, Cilium/Pixie architectures, continuous profiling, and why kernel-level tracing wins over APM.
eBPF for Kubernetes Observability: An Architecture Decision Record for Replacing Traditional APM
Architecture decision record for adopting eBPF-based observability in Kubernetes. Comparison with traditional APM agents, Cilium/Hubble/Pixie evaluation, performance overhead analysis, and migration path.
Edge AI Inference at Scale: Deploying Optimized Models on NVIDIA Jetson, Intel Movidius, and ARM NPUs
Complete engineering guide to deploying optimized AI models on edge hardware. Model quantization, TensorRT optimization, containerized inference pipelines, and fleet management at scale.
FinOps Meets GreenOps: Engineering Cloud Cost Optimization and Carbon-Aware Workload Scheduling
How to engineer FinOps and GreenOps into your cloud infrastructure. Real-time cost attribution, carbon-aware workload scheduling, and Kubernetes resource optimization patterns.