Build a Scalable, Cost‑Effective Log Retrieval System Without Elasticsearch
This article explains how to design a high‑performance, low‑cost log retrieval architecture that avoids Elasticsearch by partitioning logs into time‑based chunks, indexing only metadata, using multi‑tier storage (local, remote, archive), and orchestrating queries through GD‑Search, Local‑Search, Remote‑Search and Log‑Manager components.