Optimizing Log-Structured Merge Trees for Write-Intensive Distributed Databases
A deep dive into LSM tree internals for write‑heavy clusters, with real‑world patterns from RocksDB, Cassandra, and ScyllaDB.
Architecture
Implementing Circuit Breakers in Service Meshes: Architecture, Traffic Management, and Resiliency Patterns
A practical guide to adding circuit breakers in service meshes, with architecture diagrams, traffic‑management rules, and real‑world resiliency patterns.
Why Copy-on-Write B-Trees Improve Database Concurrency Control
Copy-on-Write B‑Trees provide immutable snapshots for readers while writers work on new nodes, enabling high concurrency with minimal blocking.
Implementing Log-Structured Merge Trees for High-Throughput Write-Intensive Distributed Databases
A deep dive into LSM tree implementation for write‑intensive distributed systems, from core concepts to practical compaction and performance strategies.
Architecting Low Latency Stream Processing for Real Time Large Language Model Inference Pipelines
Introduction Large Language Models (LLMs) such as GPT‑4, LLaMA, and Claude have moved from research prototypes to production‑grade services that power chatbots, code assistants, and real‑time analytics. While the raw predictive power of these models is impressive, delivering sub‑second responses at scale introduces a unique set of engineering challenges. In many applications—customer‑support agents, live transcription, interactive gaming, or financial decision‑support—every millisecond of latency translates directly into user experience or business impact. Traditional batch‑oriented inference pipelines cannot meet these demands. Instead, we must treat LLM inference as a continuous stream of requests and responses, applying the same principles that have made stream processing systems (Kafka, Flink, Pulsar) successful for high‑throughput, low‑latency data pipelines. ...