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AWS - Amazon Kinesis

Last Updated : 09 Dec, 2024
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Amazon Kinesis is a service provided by Amazon Web Service that allows users to process a large amount of data (which can be audio, video, application logs, website clickstreams, and IoT telemetry ) per second in real time. In today's scenario handling a large amount of data becomes very important and for that, there is a complete whole subject known as Big Data which works upon how to process or handle the streams of large amounts of data. So Amazon came up with a solution known as Amazon Kinesis which is fully managed and automated and can handle the real-time large streams of data with ease. It allows users to collect, store, capture, and process many logs from distributed streams such as social media feeds.

Amazon-Kinesis

AWS Amazon Kinesis Working

Amazon Kinesis working can be divided into 4 stages as follows.

1. Data Ingestion

Amazon kinesis will collect the data or receives the data from the different data streams like application, sensors, and so on. The data that is going to be received from the different sources can be in different formats like JSON and Binary. It can also accept the data of real-time applications.

2. Sharding and Scaling

The smaller parts of the data called the shards the data which is received from the different sources are divided into smaller shards for redundancy and fault tolerance. There are no limits for the shards amazon kinesis can scale the shards horizontally depending on the requirement.

3. Processing and buffering

After sharded the data will be prepared for further use like it will apply filtering or record aggregation before storing it.

4. Making the data accessible

After completing all the steps mentioned above know the data should be accessible it offers various ways to access and utilize your data stream.

  • Kinesis Data Streams API.
  • Kinesis Firehose.
  • Kinesis Analytics.

Below is the Image that Explain Exactly how Kinesis work in real time:

Working-Of-AWS-Kenisis

AWS Kinesis Data Streams

Amazon Kinesis will stream the data in real-time help in handling it and also tell you what to do with that data according to the organization's goals following are the broad categories to get you started:

  • Real time data ingestion and processing: Amazon kinesis will take the data from the real time it will helps in the applications like health which are used for the identifying the and regulating the health of the patient and also if any any emergency with the help of data we can predict it in before head. It can also used in the applications of OTT platforms by which you can personalize the according to the user experience.
  • Streamlined data delivery and storage: The real time data can be stored in the storage and can be used for the further research and can be used for the further use and also amazon kinesis can be integrated with the other services also.
  • Real-time insights and automation: The data which is collected from the real time data will be analyzed the whole data and recats to anomalies, fraud attempts or any other critical immediately. And also monitor the key metrics which can be used for the data driven decision making.

Types of Services Offered by Amazon Kinesis

There are 4 types of services which Amazon kinesis offers are as follows:

  1. Amazon Kinesis Data Streams 
  2. Amazon Kinesis Video Streams
  3. Amazon Kinesis Firehose 
  4. Amazon Kinesis Data Analytics 

1. Amazon Kinesis Data Streams

It provides a platform for real-time and continuous processing of data. It is also used to encrypt the sensitive data by using the KMS master keys and the server-side encryption for the security purpose. The architecture of Amazon Kinesis looks somewhat like the given below image.

amazon_kinesis_data_streams

2. Amazon Kinesis Video Streams

Amazon Kinesis Video Streams is a fully managed service makes it easy to secure stream video data from devices to the cloud for real-time processing and analytics. With Kinesis Video Streams you can effortlessly capture, store and also process video streams for various use cases including surveillance, media streaming and also IoT applications. It enables seamless integration with machine learning models for video analysis and provides powerful tools for real-time video data processing without worrying about scalability or storage limitations.

_amazon_kinesis_video_stream

Amazon Kinesis video streams is a power tool that is provided by AWS as a service that can deliver live on-demand streams in the real-time following are some of the key features used with kinesis streams.

  • Ingest live video from various sources
  • Process video in real-time
  • Analyze video content
  • Deliver video to various destinations
  • Build custom video applications
build_video_analytics_applications

3. Amazon Kinesis Data Analytics

It allows the streams of data provided by the kinesis firehose and kinesis streams to analyze and process it with the standard SQL.  It analyzes the data format and automatically parses the data and by using some standard interactive schema editor to edit it in recommend schema. It also provides pre-built stream process templates that can be used to select a suitable template for their data analytics.

_amazon_kinesis_data_analytics

4. Amazon Kinesis Firehouse

Firehouse allows the users to load or transformed their streams of data into amazon web service latter transfer for the other functionalities like analyzing or storing. It does not require continuous management as it is fully automated and scales automatically according to the data.

amazon_kinesis_data_firehose

Amazon Kinesis Features

  • Cost-efficient: All the services provided by the amazon are cost-efficient as it follows the pay as you go model which means you have to pay for the service according to the usage, not a flat price. So it becomes advantageous for the user s that they have to pay only what they use.
  • Integrate with other AWS services: Amazon Kinesis allows users to use the other AWS services and integrate with it. Services that can be integrated are Amazon DynamoDB, Amazon Redshift, and all the other services that deal with the large amount of data.
  • Availability: You can access it from anywhere and anytime. Just need a good connectivity of net.
  • Real-time processing- It allows you to work upon the data which is needed to be updated every time with changes instantaneously. Most advantageous feature of Kinesis because real-time processing becomes important when you are dealing with such a huge amount of data.

Amazon Kinesis Use Cases

  • Real-time application monitoring: Amazon kinesis will provide the real time data of the applications like if you consider the health application it will provides the live feed of the data by which you can take care of the health by which the issues that is pointed by amazon kinesis.
  • Fraud detection and prevention: Amazon Kinesis will helps you to protect the data from fraudulent activity by analyzing transaction data by which you can detect the suspicious patterns and blocks fraudulent transactions before they happen.
  • Personalized recommendations and marketing: Amazon kinesis will helps you in analyzing the data of the customers by which you can understand your customers very better. You can recommends the personalised products in real time to the costumers.
  • IoT analytics and predictive maintenance: Your connected gadgets' full potential is unlocked with Kinesis. Through the examination of sensor data from electronics, automobiles, or machinery.

Amazon Kinesis Limitations

  •  The limitation that Amazon kinesis has that it only access the stream of records log for 24 hours by default but it can extend but up to only 7 days not longer than that.
  • There is no upper limit in the number of streams that can users have in their accounts.
  • One shard supports up to 1000 PUT records per second.

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