https://blog.mickeyzzc.tech/en/tags/logging/Recent content in Logging on Mi&Bee BlogHugo -- gohugo.ioen蓝宝石的傻话Wed, 01 Jul 2026 00:00:00 +0000https://blog.mickeyzzc.tech/en/posts/telemetry/obs-tech-08-storage-selection-guide/Wed, 01 Jul 2026 00:00:00 +0000https://blog.mickeyzzc.tech/en/posts/telemetry/obs-tech-08-storage-selection-guide/<p>The previous 7 articles in this series analyzed the storage architectures of each observability domain—TSDB, logging, tracing, RUM, profiling, and eBPF—in depth. This article synthesizes that knowledge into a <strong>scenario-driven storage selection decision framework</strong>. Teams differ in scale, tech stack, budget, and requirements—there is no &ldquo;best&rdquo; storage, only the one that best fits your context. Use this article as a practical reference to quickly narrow down your options.</p> <blockquote> <p><strong>Beginner Analogy</strong>: Choosing observability storage is like choosing a vehicle — there&rsquo;s no &ldquo;best&rdquo; car, only the one that fits your journey. A startup needs a cost-efficient compact (Loki + VictoriaMetrics); an enterprise with compliance needs a heavy-duty truck (Elasticsearch); a platform team wants a versatile van (ClickHouse unified). The key dimensions: data volume, query patterns, budget, and team size.</p>