AMAZON KINESIS

The real-time streaming and processing of data has come to be an essential feature for most businesses across industries. Be it Fraud Detection, Marketing and Business Analytics, or a simple function such as Log Monitoring.

Amazon Kinesis has proved to be a service that smoothly facilitates this essential business requirement. Being Amazon's product, in this blog we have a look at what exactly Amazon Kinesis is, and how it can transform your business.

So, what is Amazon Kinesis?

Amazon Kinesis is a managed, scalable, cloud-based service that allows real-time processing of streaming large amounts of data per second. Amazon Kinesis is designed to process large-scale data streams from a multitude of services in real-time. It is used to capture, store, and process data from large, distributed streams such as event logs and social media feeds. After processing the data, Kinesis distributes it to multiple consumers simultaneously.

It is designed for real-time applications and allows developers to take in any amount of data from several sources, scaling up and down that can be run on EC2 instances.

In short, Kinesis is designed to ingest, process and analyze streams of data in real-time. Within this core skillset, Kinesis offers four key solutions:??

1. Amazon Kinesis Data Streams

Amazon Kinesis Data Streams (KDS)??is designed to be a massively scalable and resilient real-time data streaming service. KDS is used when you have a large amount of data streaming from a multitude of potentially unconventional data producers. It can ingest gigabytes of data per second from a multitude of sources, including (but not limited to) website clicks, database event streams, financial transactions, gaming micro-transactions, IoT devices, and location-tracking events.

So, if the data you wish to stream needs to go directly to and be actionable by a service or application, or needs to drive analysis immediately upon receiving, KDS is the ideal option. The data collected is nearly immediately available for real-time analytics, allowing for real-time dashboards, dynamic pricing, and more.??

2. Amazon Kinesis Video Streams ??

Amazon Kinesis Video Streams is a data streaming service as well but tailored to video streaming. It allows you to stream video from any number of devices securely, and present the data for playback, machine learning, analytics, or other processing. It can ingest data from nearly any video device you can think of: security cameras, video from smartphones, drones, satellites, and more.

Kinesis Video Streams can also help you with streaming live or recorded media to browsers or mobile applications via HTTP Live Streaming (HLS).

3. Amazon Kinesis Firehose ??

Kinesis Firehose is used to load large-scale streaming data into data lakes, data sources, and analytics services. Firehose can ingest, process, and deliver streaming data to any number of endpoints and services. It supports compression, batch processing, and can transform and encrypt data streams prior to loading, increasing security, and reducing storage costs.

Firehose is used to deliver a deluge of data quickly to a central repository (whatever form that repository might take) for further processing.

4. Amazon Kinesis Data Analytics???

Kinesis Data Analytics is used to transform and analyze streaming data in real-time, relying on the open-source framework and engine of Apache Flink. It is designed to reduce the complexity of building, managing, and integrating Flink applications with other AWS services.

Kinesis Data Analytics supports building applications in commonly used languages, including SQL, Java, Scala, and Python. It also integrates with a number of Amazon Web services, including Kinesis Data Streams (KDS), Managed Streaming for Apache Kafka (Amazon MSK, Kinesis Firehose), and more.

Features of Amazon Kinesis??

• Real-time processing ? It allows to collect and analyze information in real-time like stock trade prices otherwise we need to wait for data-out report.
• Easy to use ? Using Amazon Kinesis, we can create a new stream, set its requirements, and start streaming data quickly.
• High throughput, elastic ? It allows to collect and analyse information in real-time like stock trade prices otherwise we need to wait for data-out report.
• Integrate with other Amazon services ? It can be integrated with Amazon Redshift, Amazon S3 and Amazon DynamoDB.
• Build kinesis applications ? Amazon Kinesis provides the developers with client libraries that enable the design and operation of real-time data processing applications. Add the Amazon Kinesis Client Library to Java application and it will notify when new data is available for processing.
• Cost-efficient ? Amazon Kinesis is cost-efficient for workloads of any scale. Pay as we go for the resources used and pay hourly for the throughput required.

Use Cases

Netflix:?Netflix uses Kinesis to process multiple terabytes of log data every day. For example, Netflix needed a centralized application that logs data in real-time. It developed Dredge, which enriches content with metadata in real-time, instantly processing the data as it streams through Kinesis. This makes it unnecessary to load data into a database to be picked up later and processed.

Veritone: Veritone, which provides AI and machine-learning services, uses Amazon Kinesis video streams to process customer data. Veritone can then apply machine learning models and AI to the content in real-time to further enrich it with metadata and metrics. With this additional metadata, Veritone makes Kinesis video streams easy to search by tagged information, like audio, facial recognition etc.

Docebo: The software-as-a-service learning technology company Docebo determined its team was spending too much time identifying bugs within its multitenant structure, it wanted to drastically reduce the time required for those tasks. The company’s solution uses a container on Fluent Bit—a logging and metrics processor and forwarder—to handle the tracing log requests. Fluent Bit sends the requests to Amazon Kinesis Data Firehose. It then extrapolates that data using Amazon Athena, an interactive query service that makes it easy to analyse data in Amazon S3 using standard SQL.

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How can Ataloud help?

Connect with an Ataloud consultant today ([email protected]) for a seamless experience for your business' transition to the cloud. We can analyse, discuss and help validate your AWS billing and usage patterns, perform routine audits, perform log analysis, analyse and monitor performances- on top of the other managed services that we offer.