Your meeting ends. The architecture is ready.
meeting-transcript.txt extracting
Maya · PM00:12Recommendations are a full day stale — the nightly batch pipeline can’t keep up.
Dev · SA03:41Your events already land in Kafka. Stream them instead.
Dev · SA03:58Flink turns that stream into features as it happens…
Dev · SA04:15…kept hot in DynamoDB as an online feature store.
Ana · Data07:02Then SageMaker scores against live features. Minutes, not a day.
MeetingSketch · AI3 components were implied but never named — adding them as recommendations.
5/5 heard · 3/3 inferredsaid → drawn → completed
recommendation-engine sync — architectureCurrentTo-Be
raw eventsfeatureslive scorescontractsnightly · replaced
Event Stream
Kafka / MSK
event stream
KEEP
Stream Processing
Flink
stream processing
NEW
Feature Storage
DynamoDB
online feature store
NEW
Offline Store
training parity
RECOMMENDED
Contracts & Quality
Schema Registry
event contracts
RECOMMENDED
Drift Monitoring
features + model
RECOMMENDED
Legacy Pipeline
PAIN
Batch ETL
nightly · 24h stale
RETIRED
Model Inference
SageMaker
live inference
KEEP
Picture complete · 3 gaps filled
Coach 8/10 · 2 risks flagged
Executive brief ready · 3 decisions
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Paste a transcript fromOtterFathomGranolaZoomTeams8 file formats
The architecture
[00:03:12] Maya (PM): recommendations are a full day stale, the nightly batch pipeline can't keep up with catalog changes [00:03:41] Dev (SA): right — so events already land in Kafka today, MSK on the ingestion side [00:04:02] Dev (SA): if we stream through Flink we can compute features as events arrive instead of waiting for the 2am run [00:04:30] Ana (Data): where do features live then? the model reads from the warehouse right now [00:04:47] Dev (SA): DynamoDB as an online feature store — single-digit-ms reads, SageMaker scores against it directly [00:05:15] Maya (PM): what happens to the batch job? [00:05:22] Dev (SA): it retires. one less 2am page. [00:05:40] Ana (Data): we'd need backfill for cold-start items — flagging that as a risk [00:06:03] Maya (PM): okay — decision: we prototype the streaming path this sprint, Ana owns the backfill question
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