Kinesis vs Data Firehose: Processing, Replay and Delivery Explained

Compare Amazon Kinesis Data Streams and Amazon Data Firehose by processing, replay and destination delivery requirements. Follow lesson-playback telemetry into a live health indicator and a historical dataset. Learn partition keys, consumer progress, checkpoints, recovery and freshness, with narrated corrections for a hot key and a dashboard that confuses accepted events with immediately queryable results. Chapters 00:00 An accepted event is not a fresh dashboard 00:56 Track acceptance, processing and the visible result 01:51 The partition key joins ordering with distribution 02:49 Worked example: spare total capacity hides one hot key 03:43 Managed capacity does not eliminate workload limits 04:29 Independent applications keep independent progress 05:23 Checkpoint after a safe result, and expect repeats 06:06 Replay works only while the needed history still exists 07:01 Firehose manages a destination delivery path 07:44 Worked example: buffered delivery was treated as immediate 08:30 Check current delivery and payload capabilities 09:16 Delivery errors need a tested recovery destination 10:01 Verify one event, one interruption and one recovery 10:41 Choose the processing contract, then prove the result Official AWS references AWS documentation: https://docs.aws.amazon.com/streams/l... AWS documentation: https://docs.aws.amazon.com/streams/l... AWS documentation: https://docs.aws.amazon.com/streams/l... AWS documentation: https://docs.aws.amazon.com/streams/l... AWS documentation: https://docs.aws.amazon.com/streams/l... AWS documentation: https://docs.aws.amazon.com/firehose/... AWS documentation: https://docs.aws.amazon.com/firehose/... AWS documentation: https://docs.aws.amazon.com/firehose/... AWS documentation: https://docs.aws.amazon.com/firehose/... #AWS #CloudArchitecture