Log Analysis Software Resources

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.

Sentry supports all three of those layers with official, first-party SDKs. No separate tools or vendors needed. Web frontend: SDKs for JavaScript, React, Angular, Vue, Svelte, and more. You get error monitoring, performance tracing, and session replays, among many other things. Backend services: First-party SDKs for Python, Node.js, Java, Go, Ruby, .NET, PHP (including Laravel), and others. Each includes error monitoring, performance tracing, and profiling. Mobile: SDKs for native iOS (Swift/Obj-C), native Android (Kotlin/Java), React Native, Flutter, and Kotlin Multiplatform. Mobile SDKs also include session replay. The part that matters for a mixed stack: Sentry's distributed tracing connects requests across all of these services automatically. A trace that starts in your mobile app or browser flows through your backend services, so you see the full picture in one place. With current SDK versions, this works without any custom wiring. It also supports desktop apps and gaming engines. You don't need separate setups for each part of your stack. On the organization side, you'd create a Sentry project per service or platform (one for your React frontend, one for your Python API, one for your iOS app). They all live under one org with shared dashboards that span across projects. One place for everything. Full list of supported platforms: https://docs.sentry.io/platforms/

Sentry covers the core APM use cases: distributed tracing across services, transaction-level performance monitoring with P50/P75/P95/P99 breakdowns, and alerts when things regress. If you're already using it for errors, the biggest win is that errors and slow transactions share the same trace, so you're not jumping between tools to figure out what happened. It also tracks slow database queries and surfaces N+1 issues automatically, monitors web vitals like LCP, CLS, and INP tied back to specific code, and does continuous profiling so you can see function-level performance data, not just spans. Sentry focuses on the application layer, so everything it surfaces is directly tied to your code. For most teams already using Sentry for errors, turning on performance is a straightforward call. You get meaningful APM coverage without adding another vendor, and the shared context between errors and traces is genuinely useful.