Working with Drains

Resources

Drains support the following data types: - Logs: Runtime, build, and static logs from your deployments (supports custom endpoints and native integrations) - Traces: Distributed tracing data in Open Telemetry format (supports custom endpoints and native integrations) - Speed Insights: Performance metrics and web vitals (custom endpoints only).

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Resources Vercel

ResourcesDeploy a headless BigCommerce storefront with VercelVercel ResourcesHow to build an AI agent for Slack with Chat SDK and AI SDKVercel ResourcesPricing on VercelVercel ResourcesVercel AI Gateway: Models, Routing, and ObservabilityVercel ResourcesPackage ManagersVercel ResourcesAdvanced BotID ConfigurationVercel NewsAsyncAPI Could Be the Default API Format for Event-Driven ArchitecturesThenewstack BlogsDecember Tailscale newsletterTailscale BlogsGet started with the latest updates for Dockerfile syntax (v1.7.0)Docker BlogsUsing Manim For Making UI AnimationsSmashingmagazine BlogsIntroducing the Developer Experience Working Group - The Go Programming LanguageGo BlogsWhy CSV Files Won’t Die and How DuckDB Conquers ThemMotherduck BlogsAnnouncing Netlify Log Drains for DatadogNetlify ResearchFrom Tools to Teammates: Evaluating LLMs in Multi-Session Coding InteractionsCohere BlogsIt's survey time! How has Go has been working out for you? - The Go Programming LanguageGo ResearchSleeper Agents: Training Deceptive LLMs that Persist Through Safety TrainingAnthropic ResearchOpen-sourcing circuit-tracing toolsAnthropic ResearchReasoning models don't always say what they thinkAnthropic BlogsKubernetes WG Serving concludes following successful advancement of AI inference supportCncf BlogsComposable AI for ecommerce: Hands-on with Vercel’s AI SDKVercel