https://blog.mickeyzzc.tech/en/tags/log-storage/Recent content in Log Storage on Mi&Bee BlogHugo -- gohugo.ioen蓝宝石的傻话Thu, 18 Jun 2026 00:00:00 +0000https://blog.mickeyzzc.tech/en/posts/telemetry/obs-tech-03-log-storage/Thu, 18 Jun 2026 00:00:00 +0000https://blog.mickeyzzc.tech/en/posts/telemetry/obs-tech-03-log-storage/<h2 id="introduction">Introduction</h2> <p>Logs generate the largest data volume and highest storage cost among the three pillars of observability. Unlike metrics with their fixed numeric structure, logs are variable-length text with semi-structured characteristics, posing unique storage design challenges: supporting full-text search while controlling storage costs.</p> <p>The core design dimension of log storage systems is <strong>indexing strategy</strong> — deeper indexing means faster search, but also higher storage costs. From Elasticsearch&rsquo;s full inverted index to Loki&rsquo;s label-only indexing, each system makes different technical choices along this spectrum.</p>