Docker Kinesis Local

Build for local AWS Kinesis

Amazon Kinesis Streams

Amazon Kinesis Streams enables you to build custom applications that process or analyze streaming data for specialized needs. Amazon Kinesis Streams can continuously capture and store terabytes of data per hour from hundreds of thousands of sources such as website clickstreams, financial transactions, social media feeds, IT logs, and location-tracking events. With Amazon Kinesis Client Library (KCL), you can build Amazon Kinesis Applications and use streaming data to power real-time dashboards, generate alerts, implement dynamic pricing and advertising, and more. You can also emit data from Amazon Kinesis Streams to other AWS services such as Amazon Simple Storage Service (Amazon S3), Amazon Redshift, Amazon Elastic Map Reduce (Amazon EMR), and AWS Lambda.

Components

• NodeJS
• Kinesislite

HowTo and Documentation

• Kinesislite

docker run --rm -ti saidsef/aws-kinesis-local --help

Usage: kinesalite [--port <port>] [--path <path>] [--ssl] [options]

A Kinesis http server, optionally backed by LevelDB

Options:
--help                 Display this help message and exit
--port <port>          The port to listen on (default: 4567)
--path <path>          The path to use for the LevelDB store (in-memory by default)
--ssl                  Enable SSL for the web server (default: false)
--createStreamMs <ms>  Amount of time streams stay in CREATING state (default: 500)
--deleteStreamMs <ms>  Amount of time streams stay in DELETING state (default: 500)
--updateStreamMs <ms>  Amount of time streams stay in UPDATING state (default: 500)
--shardLimit <limit>   Shard limit for error reporting (default: 10)

Local Deployment

docker run -d -p 4567:4567 saidsef/aws-kinesis-local --help

aws --endpoint-url=http://{kinesis-host}:4567 kinesis list-streams --region eu-west-1

{
    "StreamNames": []
}

Kubernetes Deployment

kubectl apply -k deployment/

aws --endpoint-url=http://svc-ip kinesis list-streams --region eu-west-1

{
    "StreamNames": []
}