Category: Amazon Kinesis

Ten years ago, just a few months after I joined AWS, Amazon Redshift was launched. Over the years, many features have been added to improve performance and make it easier to use. Amazon Redshift now allows you to analyze structured and semi-structured data across data warehouses, operational databases, and data lakes. More recently, Amazon Redshift […]

Today we are launching Amazon Kinesis Data Streams On-demand, a new capacity mode. This capacity mode eliminates capacity provisioning and management for streaming workloads. Kinesis Data Streams is a fully-managed, serverless service for real-time processing of streamed data at a massive scale. Kinesis Data Streams can take any amount of data, from any number of […]

Amazon FSx for Windows File Server provides fully managed file storage that is accessible over the industry-standard Server Message Block (SMB) protocol. It is built on Windows Server and offers a rich set of enterprise storage capabilities with the scalability, reliability, and low cost that you have come to expect from AWS. In addition to […]

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 […]