Performance

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.

Diagram of a Bloom filter in front of an LSM-tree sorted run.

Inside LSM-Tree Bloom Filters: Architecture, Trade-offs, and Production Tuning

A deep dive into how Bloom filters accelerate point reads in LSM-tree engines like RocksDB and Cassandra, with the math, the trade-offs, and the levers you actually have at the tuning knob.

Layered diagram of kernel submission and completion rings for async I/O.

Mastering io_uring vs epoll: A Deep Dive into Linux Async I/O Architectures

Compare Linux’s two dominant async I/O architectures, io_uring and epoll, with kernel internals, real benchmarks, and patterns drawn from production systems.

Stack of sorted runs in an LSM-tree being merged by a compactor.

Optimizing RocksDB LSM-Tree Compaction: Strategies for Write Amplification and Storage Efficiency

How RocksDB’s compaction strategies trade off write amplification, read amplification, and space amplification — and how to tune them for real workloads.