3 guides covering real-world deployment patterns, gotchas, and integration decisions for Sentry.
Sentry is the industry-standard error tracking and performance monitoring platform. It captures exceptions, traces slow requests, and alerts your team — but is frequently misconfigured, leading to missing source maps, alert fatigue, and unexpected cost spikes from high-volume error floods.
AI applications fail in ways that traditional error monitoring doesn't catch. Your API returns 200, but the LLM hallucinated. Your embedding pipeline processed all documents, but 10% produced zero-len...
Knowing that your AI endpoint is slow is not the same as knowing why it's slow. Is it the OpenAI API latency? The vector search? The database query for user context? The JSON serialization of a large ...
Error logs tell you what broke. Session Replay shows you what the user experienced. For AI chat interfaces, Session Replay is particularly powerful: when a user submits a bug report about a 'wrong ans...
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