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Table of contents
1.
Introduction
2.
AWS Kinesis
3.
How Amazon Kinesis Works
3.1.
Kinesis Video Streams
3.2.
Kinesis Data Streams
3.3.
Kinesis Data Firehose
3.4.
Kinesis Data Analytics
4.
Getting Started with Amazon Kinesis
5.
Features & Benefits of Amazon Kinesis
6.
Frequently Asked Questions
6.1.
What are the alternatives for Amazon Kinesis?
6.2.
What is the difference between Kinesis and Kafka?
6.3.
What are the limitations of using Amazon Kinesis?
6.4.
What are the prerequisites for using Amazon Kinesis in my AMS account?
7.
Conclusion
Last Updated: Mar 27, 2024
Medium

Amazon Kinesis

Author Tanay Kumar
1 upvote
Leveraging ChatGPT - GenAI as a Microsoft Data Expert
Speaker
Prerita Agarwal
Data Specialist @
23 Jul, 2024 @ 01:30 PM

Introduction

Amazon Kinesis is a fully managed, scalable, cloud-based service which allows real-time processing of live streaming large amounts of data per second. It is mainly designed for real-time applications and will enable us to take in any amount of data from various sources, scaling up and down that can run on EC2 instances.

This article will discuss AWS Kinesis, its features, setup, working, and benefits. So, let's start with the article.

AWS Kinesis

With Amazon Kinesis, we can ingest real-time data such as audio, video, application logs, IoT, and website clickstreams data for applications, machine learning, and analytics. Amazon Kinesis enables us to analyze and process data as it arrives and respond instantly instead of waiting until all our data is collected before the processing can begin.

AWS Kinesis may be used in the following situations:

  • Kinesis Video Streams: To Process, capture, and store video streams
  • Kinesis Data Streams: To Process, capture, and store data streams
  • Kinesis Data Firehose: To load data streams into AWS data stores
  • Kinesis Data Analytics: To analyze data streams with Apache Flink or SQL
     

Now let’s understand the working of Amazon Kinesis in all the above situations in the next section.

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How Amazon Kinesis Works

Let's see how amazon kinesis works.

Kinesis Video Streams

Amazon Kinesis Video Streams make it easy for us to securely stream video from connected devices to AWS for machine learning (ML), analytics, playback, and other processing. Kinesis Video Streams elastically scales and automatically provisions all the infrastructure needed to ingest streaming video data from millions of devices. It durably stores, encrypts, and indexes video data in our streams and allows us to access our data through easy-to-use APIs. The workflow of Amazon Kinesis Video Streams can be understood with the below image.

Amazon Kinesis Video Streams Working

Source: aws.amazon.com/kinesis/

Kinesis Data Streams

Amazon Kinesis Data Streams is a durable and scalable real-time data streaming service that can capture gigabytes of data per second continuously from hundreds of thousands of sources. We can understand the working of Amazon Kinesis Data Streams with the below image.

Working on Amazon Kinesis Data Streams

Source: aws.amazon.com/kinesis/

Kinesis Data Firehose

Amazon Kinesis Data Firehose is the easiest way to transform, capture, and load data streams into AWS data stores for near real-time analytics with the existing business intelligence tools. We can understand the working of Amazon Kinesis Data Streams with the below image.

Working on Amazon Kinesis Data Firehose

Source: aws.amazon.com/kinesis/

Kinesis Data Analytics

Amazon Kinesis Data Analytics is the simplest and easiest way to process data streams in real-time with Apache Flink or SQL without learning any new programming languages or processing frameworks. We can understand the working of Amazon Kinesis Data Streams with the below image.

Working on Amazon Kinesis Data Analytics

Source: aws.amazon.com/kinesis/

Must read, Amazon Hirepro

Getting Started with Amazon Kinesis

This section will help us learn how to set up Amazon Kinesis.

Step 1: Set up and log into the AWS account

First, we need to create an account or log in to the AWS management console to set up our account. We can also create IAM (Identity and Access Management) role.

AWS Management Console

Step 2:  Create a stream

From the AWS console dashboard, navigate to Amazon Kinesis Page and then click on the "Create data stream" Button.

Amazon Kinesis

This will redirect us to a page where we need to fill in the details required as per the below image.

Create a data stream page

Here fill in the details and then click the "Create" Button. The stream list will now have the stream created.

Step 3: Set up users

We will now set up the Kinesis stream users to manage services. We may create New Users & assign a policy to each user.

Step 4: Connect our application to Amazon Kinesis

Now, we need to connect our application to Amazon Kinesis. We successfully set up our Amazon Kinesis Video streaming service with this step.

Features & Benefits of Amazon Kinesis

Amazon Kinesis has lots of features and benefits. A few of them are listed below.

  • Real-time processing:- We can collect and analyze information in real-time for stock trade prices and cricket scores.
  • Easy to use:- With Amazon Kinesis, we can easily create a new stream, set its requirements, and start streaming data/video quickly.
  • Reliable:- Amazon Kinesis is a reliable product of Amazon web services, and it ensures high availability.
  • Fully managed:- Amazon Kinesis is a fully managed service and runs our streaming applications without requiring us to manage any infrastructure.
  • Scalable:- Amazon Kinesis can handle a large amount of streaming data and process data/video from hundreds of thousands of sources with low latencies. 
  • Cost-effective:- Amazon Kinesis is designed to be less expensive. We pay a low hourly rate and only for the resources we use.

Frequently Asked Questions

What are the alternatives for Amazon Kinesis?

We have a few competitors and alternatives to Amazon Kinesis offered by various companies like Google Cloud Dataflow, Google Cloud Pub/Sub, Azure Event Hubs, Azure Stream Analytics, Apache Flink, etc.

What is the difference between Kinesis and Kafka?

While both the services are event streaming platforms, we can differentiate between them as below.

Basis

Kinesis

Kafka

Data retention period 7 days Longer (User configure retention periods)
Skill required Basic Advanced
Storage Dynamo Db Zookeeper
Price Based on resources used Free (open-source), but consider the hardware and setup cost.

What are the limitations of using Amazon Kinesis?

Amazon Kinesis has the following limitations:

  • The record retention period is only 7 days.
  • The max size of the data blob in one record is 1Mb.
  • One shard supports up to 1000 PUT records per second.

What are the prerequisites for using Amazon Kinesis in my AMS account?

We do not have any prerequisites or requirements for using Amazon Kinesis in the AMS Account.

Conclusion

In this article, we have extensively discussed Amazon Kinesis, its setup, working, and benefits.

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