amazon-kinesis

Context : I'm not necessarily referring to a KCL-based application, just pure Kinesis API calls. Does the using the TRIM_HORIZON shard iterator type immediately give you the earliest published record in the stream (ie earliest available within Kinesis' built-in 24hr window), or simply an iterator/cursor for some time period as much as 24 hours ago, that you must then use to advance along the stream until you hit the earliest published record? Put another way, in case that's not quite clear.... When using the shard iterator type of TRIM_HORIZON , is the expected behavior that it will begin with

Amazon claims their Kinesis streaming product guarantees record ordering. It provides ordering of records, as well as the ability to read and/or replay records in the same order (...) Kinesis is composed of Streams that are themselves composed of one or more Shards. Records are stored in these Shards. We can write consumer applications that connect to a Shard and read/replay records in the order they were stored. But can Kinesis guarantee, out of the box, ordering for the Stream itself without pushing ordering logic to the consumers? How can a consumer read records from multiple Shards of the

I am using the batch mode to pull in the records from kinesis stream. We are using spring aws kinesis binder. Most of the times we are not able to pull messages from stream. Only some times we are able to pull messages from stream. My config looks like below My config spring: cloud: stream: kinesis: binder: locks: leaseDuration: 30 readCapacity: 1 writeCapacity: 1 checkpoint: readCapacity: 1 writeCapacity: 1 bindings: InStreamGroupOne: consumer: listenerMode: batch idleBetweenPolls: 30000 recordsLimit: 5000 consumer-backoff: 1000 bindings: InStreamGroupOne: group: in-stream-group destination:

I am streaming video the amazon kinesis from raspberry pi (This is done). Now i want to perform face detection/recognition on that video using amazon Rekognition how to do it explain in detail with links. Thanks From Working with Streaming Videos - Amazon Rekognition : You can use Amazon Rekognition Video to detect and recognize faces in streaming video. A typical use case is when you want to detect a known face in a video stream. Amazon Rekognition Video uses Amazon Kinesis Video Streams to receive and process a video stream. The analysis results are output from Amazon Rekognition Video to a