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feat(insights): move insights to domain focused categorization
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docs/product/insights/ai/index.mdx

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title: "AI Performance"
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sidebar_order: 135
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description: "Performance views for AI developers."
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<Include name="feature-limited-on-team-retention.mdx" />
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## Learn More
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<PageGrid />
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docs/product/insights/llm-monitoring/getting-started/the-dashboard.mdx renamed to docs/product/insights/ai/llm-monitoring/getting-started/the-dashboard.mdx

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title: LLM Monitoring Dashboard
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description: "Learn how to use Sentry's LLM Monitoring Dashboard."
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Once you've [configured the Sentry SDK](/product/insights/llm-monitoring/getting-started/) for your AI project, you'll start
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receiving data in the Sentry LLM Monitoring dashboard.

docs/product/insights/llm-monitoring/index.mdx renamed to docs/product/insights/ai/llm-monitoring/index.mdx

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title: "LLM Monitoring"
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description: "Sentry LLM monitoring helps you understand your LLM calls."
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Sentry's LLM Monitoring tools help you understand what's going on with your AI pipelines. They automatically collect information about prompts, tokens, and models from providers like OpenAI and Anthropic.
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docs/product/insights/caches/cache-page.mdx renamed to docs/product/insights/backend/caches/cache-page.mdx

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title: "Cache Page"
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description: "Learn more about Sentry's Cache page, which provides insights into cache utilization and latency, so you can investigate potential cache performance issues."
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The **Caches** page gives an overview of cache performance across all endpoints for currently selected backend projects with summary graphs for **Miss Rate** and **Requests Per Minute** (throughput). You can use these as a starting point to see if there are any potential cache performance issues, for example, a higher than expected Miss Rate percentage.
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docs/product/insights/caches/index.mdx renamed to docs/product/insights/backend/caches/index.mdx

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description: "Learn more about cache monitoring with Sentry and how it can help improve your application's performance."
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A cache can be used to speed up data retrieval, thereby improving application performance. A cache stores data temporarily to speed up subsequent access to that data. This allows your application to get data from cached memory (if it is available) instead having to download that data again or retrieving it from a potentially slow data layer. Caching can speed up read-heavy workloads for applications like Q&A portals, gaming, media sharing, and social networking.
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title: "Backend Performance"
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sidebar_order: 45
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description: "Performance views for backend and full-stack developers."
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<Include name="feature-limited-on-team-retention.mdx" />
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## Learn More
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<PageGrid />

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