Stream Processing (Kinesis) - AWS Serverless

Introduction

Amazon Kinesis is a platform on AWS to collect, process, and analyze real-time streaming data. It enables you to build applications that can continuously ingest and process large streams of data records in real-time.

Key Concepts

Key Components

Kinesis Data Streams: For real-time ingestion of streaming data.
Kinesis Data Firehose: For loading streaming data into data lakes and analytics services.
Kinesis Data Analytics: For analyzing streaming data in real-time using SQL.

Note: Kinesis services are designed to be serverless, allowing you to focus on building your application without worrying about the underlying infrastructure.

Step-by-Step Process

Creating a Kinesis Data Stream

Log in to the AWS Management Console.
Navigate to the Kinesis service.
Select "Create Data Stream".
Enter a name for your stream and specify the number of shards.
Click "Create Data Stream".

Sending Data to the Stream

Use the following Python code snippet to send data to a Kinesis stream:

import boto3
import json

kinesis_client = boto3.client('kinesis')

data = {'key': 'value'}
response = kinesis_client.put_record(
    StreamName='your_stream_name',
    Data=json.dumps(data),
    PartitionKey='partition_key' 
)
print(response)

Consuming Data from the Stream

Use the following code snippet to read data from a Kinesis stream:

import boto3

kinesis_client = boto3.client('kinesis')

shard_iterator = kinesis_client.get_shard_iterator(
    StreamName='your_stream_name',
    ShardId='shard_id',
    ShardIteratorType='LATEST'
)['ShardIterator']

response = kinesis_client.get_records(ShardIterator=shard_iterator, Limit=10)
records = response['Records']
for record in records:
    print(record['Data'])

Best Practices

Use enhanced fan-out for high-throughput applications.
Monitor your stream with CloudWatch metrics.
Implement error handling and retry logic in your consumers.
Optimize shard count based on data throughput requirements.

Flowchart of Kinesis Stream Workflow

graph TD
            A[Data Source] --> B[Kinesis Data Stream]
            B --> C[Data Consumers]
            C --> D[Data Processing]
            D --> E[Data Storage or Analysis]

FAQ

What is Kinesis Data Streams?

Kinesis Data Streams is a service for real-time data streaming. It enables you to continuously ingest and process large streams of data records in real-time.

How do I scale my Kinesis stream?

You can scale your Kinesis stream by adding or removing shards. Each shard can support up to 1 MB of data input and 2 MB of output per second.

Is Kinesis a serverless service?

Yes, Kinesis is a serverless service, meaning you do not have to manage any infrastructure. AWS handles all the scaling and availability for you.