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Yes, and the OpenTelemetry question is probably the more useful one to answer first: No, you don't need to re-instrument. Sentry supports OTLP, so you can point your existing OTel setup at Sentry and your traces will show up without touching your instrumentation. Docs here: https://docs.sentry.io/concepts/otlp/ On distributed tracing: it follows requests across services end-to-end, so you can see exactly where a transaction slowed down or broke and which service caused it. In a microservices setup the useful part is that errors don't show up in isolation, you get the full request path that led to them. And if you're already using Sentry for errors, that context lives in the same place. Same issue, same trace.

Sentry covers errors, performance, traces, logs, metrics, session replay, and profiling. But what sets it apart is the debugging-first approach. Instead of staring at dashboards, Sentry connects a slow endpoint or spike in errors directly to the code, stack trace, and release that caused it. Seer, Sentry's AI agent, goes a step further by analyzing errors automatically, identifying root causes, and suggesting fixes before you even start debugging. The recently launched metrics product lets you track application metrics alongside your error and performance data, so you get the full picture without switching tools. For developers looking to consolidate, it replaces separate error tracking, APM, and metrics tools with one platform built around finding and fixing issues faster.