Performance

Python code on a laptop screen with a diagram of a circular KV cache

Pure‑Python LLM Inference Engine with Entropy‑Guided Sliding‑Window KV Cache

A practical, runnable pure‑Python LLM inference engine that uses an entropy‑guided sliding‑window KV cache backed by hash‑indexed circular pages – perfect for showcasing systems engineering chops.

Parallelism strategies diagram showing concurrent task execution across multiple cores and nodes

Parallelism Strategies: Patterns, Pitfalls, and Production-Ready Approaches

Explore the core parallelism strategies—task, data, pipeline, and model parallelism—and learn how to choose the right pattern for your production workload, with concrete examples from Spark, Ray, Dask, and Kubernetes.

Diagram showing QUIC packet flow with ACK frames and congestion window feedback loop.

Inside QUIC's Loss Recovery and Congestion Control Machinery in Production Deployures

A deep dive into the loss detection, ACK handling, and congestion control loops inside QUIC, with a focus on how they behave under real production traffic on HTTP/3 and gRPC.

Abstract diagram of a Redis client receiving invalidation pushes over RESP3.

Optimizing Redis with Client-Side Caching and the RESP3 Protocol

A practical look at how the RESP3 protocol and client-side caching let Redis clients invalidate entries locally, eliminating round trips and shaving milliseconds off tail latency.

Abstract diagram of a JIT compiler pipeline turning WebAssembly into machine code.

Inside Cranelift: How a Baseline JIT Compiler Optimizes WebAssembly for Production Workloads

Cranelift is the baseline JIT that powers Wasmtime and Fastly’s edge platform. Here is how it compiles WebAssembly quickly, what optimizations matter at the baseline tier, and where it fits next to LLVM and TurboFan.