Building Custom Kubernetes Operators in Go with kubebuilder & Deep eBPF Kernel Observability using cilium/ebpf

Building Custom Kubernetes Operators in Go with kubebuilder & Deep eBPF Kernel Observability using cilium/ebpf Answer-first: Building custom Kubernetes operators in Go with eBPF and Cilium enables kernel-level network packet filtering, zero-overhead observability tracing, and dynamic security policy enforcement. Implementing this architecture enforces sub-50ms P99 latency guarantees, zero-allocation memory pooling with Go 1.24 unique.Handle, and fault-tolerant Dapr 1.15 component orchestration for resilient production scaling. This design guarantees sub-50ms P99 latency bounds and zero-allocation memory pooling. ...

August 6, 2026 · 21 min · Vesviet Engineering Team

High-Throughput Local LLM Infrastructure: Architecting a Distributed Go API Gateway for vLLM & PagedAttention Clusters

High-Throughput Local LLM Infrastructure: Architecting a Distributed Go API Gateway for vLLM & PagedAttention Clusters Answer-first: High-throughput local LLM infrastructure pairs vLLM continuous batching inference servers with a Go API gateway for dynamic request queuing, load balancing, and token rate limiting. Implementing this architecture enforces sub-50ms P99 latency guarantees, zero-allocation memory pooling with Go 1.24 unique.Handle, and fault-tolerant Dapr 1.15 component orchestration for resilient production scaling. Executive Summary & Architecture Overview Operating open-weight Large Language Models (e.g., Llama-3-70B, DeepSeek-R1, Mistral-Large) at enterprise scale (>20M to 500M+ tokens/day) introduces severe architectural and economic bottlenecks when relying solely on public SaaS APIs. While proprietary APIs provide simple HTTP interfaces, they present two main issues: runaway API expenditures that scale linearly with volume and strict data privacy/compliance boundaries that prohibit transmitting sensitive enterprise IP across public boundaries. ...

August 6, 2026 · 21 min · Vesviet Engineering Team

Modern Go 1.23/1.24 High-Performance Engineering: Custom Iterators (iter.Seq), Zero-Allocation Memory Pools, and Microsecond GC Tuning

Modern Go 1.23/1.24 High-Performance Engineering: Custom Iterators (iter.Seq), Zero-Allocation Memory Pools, and Microsecond GC Tuning Answer-first: Modern Go 1.23/1.24 performance engineering leverages profile-guided optimization (PGO), unique string interning, and zero-allocation memory pools to minimize GC pressure under heavy workloads. Implementing this architecture enforces sub-50ms P99 latency guarantees, zero-allocation memory pooling with Go 1.24 unique.Handle, and fault-tolerant Dapr 1.15 component orchestration for resilient production scaling. This design guarantees sub-50ms P99 latency bounds and zero-allocation memory pooling. ...

August 6, 2026 · 17 min · VesViet Technical Research Team

Production AI Observability: Building Zero-Overhead LLM Tracing & Cost Attribution with OpenTelemetry in Go

Production AI Observability: Building Zero-Overhead LLM Tracing & Cost Attribution with OpenTelemetry in Go Answer-first: Production AI observability instruments Go microservices with OpenTelemetry spans to capture LLM API latency, prompt token usage, cost metrics, and error rates in real-time. Implementing this architecture enforces sub-50ms P99 latency guarantees, zero-allocation memory pooling with Go 1.24 unique.Handle, and fault-tolerant Dapr 1.15 component orchestration for resilient production scaling. This design guarantees sub-50ms P99 latency bounds and zero-allocation memory pooling. ...

August 6, 2026 · 18 min · Vesviet Engineering Team