Building an IoT & Data Ecosystem for one of the Globe's Largest Container Fleets
summary
Hapag-Lloyd equips ~2.2 million containers with IoT trackers that record GPS, impact, temperature and humidity every 15 minutes, generating ~60 million messages/day. Ingest pipeline uses API Gateway → Kinesis → batched AWS Lambda → Amazon Timestream, plus Kafka and a data lake for consumers, with a private API for customer queries. Batched Lambdas cut costs (Lambda ~ $45/month, total AWS ~ $12k/month). The system delivers real‑time-ish visibility, enables better fleet planning and is already live and customer‑facing for free.
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chapters (10)
- 0:00Introduction and background
- 1:24Building IoT and data ecosystem
- 2:50Container fleet scale and global reach
- 4:35Tracking challenges in hinterland transport
- 7:49Mission to track container fleet
- 9:36Building scalable IoT platform
- 12:02Cost management and data processing
- 16:18Real-time container insights
- 18:50Business benefits and future plans
- 20:40Q&A session
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