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 docker.io/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 docker.io/saidsef/aws-kinesis-local:latest --help

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

{
    "StreamNames": []
}

Kubernetes Deployment

HELM

helm repo add kinesis https://saidsef.github.io/aws-kinesis-local/
helm repo update
helm upgrade --install kinesis kinesis/kinesis --namespace kinesis --create-namespace

Kubectl

kubectl apply -k deployment/

ArgoCD

kubectl apply -f argocd/application.yml

Testing

AWS CLI/SDK

aws --endpoint-url=http://[kinesis|IP_ADDRESS] kinesis list-streams --region eu-west-1

{
    "StreamNames": []
}

// npm install aws-sdk
const AWS = require('aws-sdk');

let kinesis = new AWS.Kinesis({ endpoint: "http://kinesis.[namespace].svc", region: "eu-west-1"})
kinesis.listStreams(console.log);

The endpoint value depends on your deployment type

See AWS Kinesis documentations

Source

Our latest and greatest source of Jenkins can be found on GitHub. Fork us!

Contributing

We would ❤️ you to contribute by making a pull request.

Please read the official Contribution Guide for more information on how you can contribute.