Engineering notes from the
Hyperion gateway team.
Deep dives on cache internals, gateway performance, and billing controls built from production code paths.
Native Go ML Inference: Porting Weights for Microsecond Latency
How we ported our Python-based ML intelligence layer to native Go, resulting in a 99.7% reduction in inference latency.
Go vs Python for an AI Gateway: where latency is won or lost
An architecture-level performance deep dive covering gateway runtime split, timeout budgets, stream delivery quality, and p99 stability under high concurrency.
The Privacy Perimeter: Implementing Real-Time PII Redaction
A technical blueprint for building a PII redaction pipeline at the gateway layer to ensure compliance and prevent data leakage in LLM applications.
Surviving the 503: Building a Failover-Proof AI Stack
Strategic patterns for AI reliability, including multi-model fallbacks, circuit breaking, and hedging architectures to survive provider outages.
Defense in Depth: Building the AI Guardrails Perimeter
An in-depth guide to protecting AI applications from prompt injection, jailbreaking, and security vulnerabilities through multi-layered defensive guardrails.
Deduplication at Scale: Building a strict L1-L2-L3 cache pipeline
A deep technical guide to LLM deduplication, semantic cache safety, asynchronous write-path design, and the metrics that drive durable inference cost reduction.
Multi-Model Budgets and Scoped Keys: enforcement that holds under load
A detailed blueprint for real-time AI cost governance with scoped key policies, reservation-settlement loops, model-aware pricing, and graceful degradation.
OpenAI API Down Again? Here's How to Never Go Down With It
Strategic patterns for AI reliability, including multi-model fallbacks, circuit breaking, and hedging architectures to survive provider outages.
Complete Guide to LLM Cost Control in Production 2026
A detailed blueprint for real-time AI cost governance with scoped key policies, budget enforcement, and anomaly detection.
Semantic Caching for LLMs: Saving upto 80% in API Costs
A deep dive into how Semantic and Exact-Match caching layers can drastically reduce LLM latency and API bills in production.