AI Engineer - Learn how to integrate AI into software applications
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Overview
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This talk draws on six years of developing a real-time system for connected water devices using serverless technologies. It discusses architectural trade-offs and practical guidance on Lambda scaling, workflows, errors, idempotency, and integration testing.
Syllabus
Intro
Grohe SenseGuard Real-time water waste and damage prevention
Traits of serverless
loT temperature sensor
Use Lambda for long running calls
Push, don't pull
Triggers
Understanding AWS Lambda scaling
Step Functions for Workflows
Heavy start ups
Consider Lambdas domain boundaries
Expect errors
Aim for idempotency
Integration tests
Takeaways
Taught by
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