Category: Amazon Kinesis

The best way to get timely insights and react quickly to new information you receive from your business and your applications is to analyze streaming data. This is data that must usually be processed sequentially and incrementally on a record-by-record basis or over sliding time windows, and can be used for a variety of analytics […]

The Amazon Route 53 team has just launched a new feature called Route 53 Resolver Query Logs, which will let you log all DNS queries made by resources within your Amazon Virtual Private Cloud (Amazon VPC). Whether it’s an Amazon Elastic Compute Cloud (Amazon EC2) instance, an AWS Lambda function, or a container, if it […]

When you have applications in production, you want to understand what is happening, and how the applications are being used. To analyze data, a first approach is a batch processing model: a set of data is collected over a period of time, then run through analytics tools. To be able to react quickly, you can […]

AWS IoT Greengrass extends cloud capabilities to edge devices, so that they can respond to local events in near real-time, even with intermittent connectivity. Today, we are adding two features that make it easier to build IoT solutions: Container support to deploy applications using the Greengrass Docker application deployment connector. Collect, process, and export data streams from […]

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 […]