Performance

Layered diagram of a copy-on-write B-tree showing page versions branching from a stable root.

Architecting Copy-on-Write B-Trees: High-Performance Snapshot Strategies for Production Databases

A practical deep dive into copy-on-write B-tree design: page versioning, root promotion, MVCC snapshots, and the GC strategies that keep production storage engines fast under write pressure.

Stylized illustration of a bloom filter grid and an LSM-tree SSTable stack.

Implementing Bloom Filters in LSM-Tree Storage Engines for High-Throughput Key Lookups

Bloom filters are the unsung hero of LSM-tree reads: a few bits per key let engines like RocksDB skip 99% of disk seeks. Here’s the math, the tradeoffs, and what to tune in production.

Abstract representation of encrypted network traffic and connection resumption between client and server.

Implementing TLS 1.3 Zero Round-Trip Resumption: Mechanisms, Pitfalls, and Production Deployment

How TLS 1.3 0-RTT resumption actually works on the wire, why replay attacks make it risky for non-idempotent requests, and the patterns real teams use to deploy it safely behind NGINX, Envoy, and HAProxy.

Dashboard panels showing CPU utilization, memory saturation queues, and network error counters.

Mastering the USE Method: A Comprehensive Guide to Utilization, Saturation, and Error Analysis

Learn how to apply the USE method to systematically diagnose performance bottlenecks in production systems by checking utilization, saturation, and errors for every resource.

A diagram showing the stages of an LLM inference request moving from the API edge through the scheduler, KV cache, and GPU.

The LLM Inference Roadmap I Wish More Engineers Followed

Most teams treat LLM inference like a REST call. This roadmap walks through the layers that actually decide cost and latency in production — from continuous batching to KV cache layout to speculative decoding.