Industry Case Studies

Learn from real-world implementations at the world's leading tech companies

Discover how Airbnb, Netflix, Uber, OpenAI, Anthropic, Notion, and others built production-grade data platforms and AI systems. Each case study reveals architectural patterns, lessons learned, and metrics from operating at massive scale.

Case Studies

Technologies

100M+

Users Impacted

$200M+

Annual Cost Savings

Pro

Apache Airflow

AirbnbLyft

How Airbnb and Lyft orchestrate 100,000+ daily tasks

Key Highlights:

100K+ tasks/day at Airbnb

200K+ tasks/day at Lyft

Custom SmartSensor reduces overhead by 90%

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Pro

Apache Spark

NetflixUber

How Netflix and Uber process petabytes with Spark

Key Highlights:

450 PB/day at Netflix

100 TB/day at Uber

Real-time streaming with sub-second latency

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Pro

MLOps

UberNetflix

How Uber Michelangelo and Netflix democratize ML

Key Highlights:

10,000+ models at Uber

5,000+ models at Netflix

Deployment time: weeks → <1 day

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Pro

LLM Data Pipeline

OpenAIAnthropic

How OpenAI and Anthropic process trillion-token datasets

Key Highlights:

13 trillion tokens processed

40% deduplication rate

90% harmful content reduction

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Pro

RAG Systems

NotionIntercom

How Notion and Intercom build context-aware AI

Key Highlights:

10M+ AI queries/day

92% retrieval relevance

60% automation rate at Intercom

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Pro

Agentic AI

DevinAutoGPT

How Devin and AutoGPT pioneer autonomous agents

Key Highlights:

14% SWE-bench pass rate

160K+ GitHub stars

Multi-hour autonomous workflows

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Pro

LLM Evaluation

OpenAIAnthropic

How OpenAI and Anthropic evaluate models at scale

Key Highlights:

5,000+ eval tasks

100K+ evals/day

92% multi-judge agreement

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