Rudderstack blog

RudderStack is data pipeline infrastructure, not an analytics company or data broker. Here is how we handle data, what we do not do with it, and how our warehouse-native model keeps data in your systems.

Learn when to use APIs vs webhooks for customer data integrations. Compare pull vs push models, tradeoffs in latency, reliability, and control, and how combining both with RudderStack delivers real-time, flexible data flows.

RudderStack's native Facebook Lead Ads source ingests leads from Meta Instant Forms in real time, routes them to 200+ destinations, and eliminates third-party middleware from your lead pipeline.

Sign up with a business email and get immediate access to RudderStack's full Growth plan — 200+ destinations, transformations, Reverse ETL, and more. No credit card or sales call required.

RudderStack Lookout uses agentic AI to close the gap between business teams and engineering. Automate event instrumentation, build funnels from plain-language prompts, and get instant alerts on data quality issues — all without filing a ticket.

Lookout puts an AI agent at the center of your data infrastructure. Query your warehouse, build dashboards, generate instrumentation PRs, and review code changes. All through natural conversation. Now available in technical preview.

RudderStack launches RudderAI, an agentic layer for the customer data lifecycle. Data teams get natural language control over pipelines and governance. Business teams can explore data, build segments, and activate them with agentic workflows.

After conversations with 11 companies across health, fintech, automotive, and e-commerce, the same ceiling appeared every time. Models weren't the problem. Here's the structural pattern behind AI agent failures, and the architecture that fixes it.

This post discusses the details of some critical, hard-won lessons our team learned while maturing PostgreSQL into a highly performant and resilient queuing system.