AWS News Blog

Category: Amazon Kinesis

New – Amazon Kinesis Data Analytics for Java

Customers are using to collect, process, and analyze real-time streaming data. In this way, they can react quickly to new information from their business, their infrastructure, or their customers. For example, Epic Games ingests more than 1.5 million game events per second for its popular online game, Fortnite. With Amazon Kinesis Data Analytics you can process data […]

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Amazon Kinesis Data Streams Adds Enhanced Fan-Out and HTTP/2 for Faster Streaming

We launched a new feature for Amazon Kinesis Data Streams (KDS) called Enhanced Fan-out, which enables developers to take advantage of a new low latency HTTP/2 data retrieval API. This new API allows customers to attach more applications to a single data stream while maintaining read performance across all of the applications consuming the stream. The HTTP/2 interface reduces the latency between ingestion of data and consumption of data by a consumer application by about 75%, down to less than 50 milliseconds.

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Real-Time Hotspot Detection in Amazon Kinesis Analytics

Today we’re releasing a new machine learning feature in Amazon Kinesis Data Analytics for detecting “hotspots” in your streaming data. We launched Kinesis Data Analytics in August of 2016 and we’ve continued to add features since. As you may already know, Kinesis Data Analytics is a fully managed real-time processing engine for streaming data that […]

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Amazon Kinesis Video Streams – Serverless Video Ingestion and Storage for Vision-Enabled Apps

Cell phones, security cameras, baby monitors, drones, webcams, dashboard cameras, and even satellites can all generate high-intensity, high-quality video streams. Homes, offices, factories, cities, streets, and highways are now host to massive numbers of cameras. They survey properties after floods and other natural disasters, increase public safety, let you know that your child is safe […]

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New – AWS PrivateLink for AWS Services: Kinesis, Service Catalog, EC2 Systems Manager, Amazon EC2 APIs, and ELB APIs in your VPC

This guest post is by Colm MacCárthaigh, Senior Engineer for Amazon Virtual Private Cloud. Since VPC Endpoints launched in 2015, creating Endpoints has been a popular way to securely access S3 and DynamoDB from an Amazon Virtual Private Cloud (VPC) without the need for an Internet gateway, a NAT gateway, or firewall proxies. With VPC […]

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New: Server-Side Encryption for Amazon Kinesis Streams

In this age of smart homes, big data, IoT devices, mobile phones, social networks, chatbots, and game consoles, streaming data scenarios are everywhere. Amazon Kinesis Streams enables you to build custom applications that can capture, process, analyze, and store terabytes of data per hour from thousands of streaming data sources. Since Amazon Kinesis Streams allows […]

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New – Sending Metrics for Amazon Simple Email Service (SES)

focuses on deliverability – getting email through to the intended recipients. In my launch blog post (Introducing the Amazon Simple Email Service), I noted that several factors influence delivery, including the level of trust that you have earned with multiple Internet Service Providers (ISPs) and the number of complaints and bounces that you generate. Today […]

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Streaming Real-time Data into an S3 Data Lake at MeetMe

In today’s guest post, Anton Slutsky of MeetMe describes the implementation process for their Data Lake. Anton Slutsky is an experienced information technologist with nearly two decades of experience in the field. He has an MS in Computer Science from Villanova University and a PhD in Information Science from Drexel University. Modern Big Data systems […]

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Amazon Kinesis Analytics – Process Streaming Data in Real Time with SQL

As you may know, greatly simplifies the process of working with real-time streaming data in the . Instead of setting up and running your own processing and short-term storage infrastructure, you simply create a Kinesis Stream or Kinesis Firehose, arrange to pump data in to it, and then build an application to process or analyze […]

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