Category: Amazon Kinesis

Customers are using Amazon Kinesis 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 […]

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.

Today I’m excited to announce and demonstrate the new HTTP Live Streams (HLS) output feature for Amazon Kinesis Video Streams (KVS). If you’re not already familiar with KVS, Jeff covered the release for AWS re:Invent in 2017. In short, Amazon Kinesis Video Streams is a service for securely capturing, processing, and storing video for analytics […]

September 8, 2021: Amazon Elasticsearch Service has been renamed to Amazon OpenSearch Service. See details. 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 […]

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 […]

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 […]

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 […]

Ray Zhu from the Amazon Kinesis team wrote this great post about how to set up a streaming data pipeline. He carefully shows you step by step how he set it all up and how you can do it too. -Ana   Consumer demand for better experiences is ever increasing today. Companies across different industry […]