AWS Big Data Blog

Category: Amazon Kinesis

Scaling Amazon Kinesis Data Streams with AWS Application Auto Scaling

Recently, AWS launched a new feature of AWS Application Auto Scaling that let you define scaling policies that automatically add and remove shards to an Amazon Kinesis Data Stream. For more detailed information about this feature, see the Application Auto Scaling GitHub repository. As your streaming information increases, you require a scaling solution to accommodate […]

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Your guide to Amazon Kinesis sessions, chalk talks, and workshops at AWS re:Invent 2018

AWS re:Invent 2018 is almost here! This post includes a list of Amazon Kinesis sessions, chalk talks, and workshops at AWS re:Invent 2018. You can choose the link next to each session description for the session schedule. Use the information to help schedule your conference week in Las Vegas to learn more about Amazon Kinesis. Sessions ANT208 – […]

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Turn Windows DHCP Server logs into actionable metrics using Amazon Kinesis Agent for Windows

Understanding Windows system and service health on a global scale is challenging. You capture server log data, and then analyze and manipulate the data in real time to create actionable telemetry insights. Amazon Kinesis Agent for Microsoft Windows makes it efficient to ingest Windows server log data into your AWS ecosystem for analysis. This blog […]

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Collect, parse, transform, and stream Windows events, logs, and metrics using Amazon Kinesis Agent for Microsoft Windows

A complete data pipeline that includes Amazon Kinesis Agent for Microsoft Windows (KA4W) can help you analyze and monitor the performance, security, and availability of Windows-based services. You can build near-real-time dashboards and alarms for your Windows services. You can also use visualization and business intelligence tools such as Amazon Athena, Kibana, Amazon QuickSight, and […]

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How to build a front-line concussion monitoring system using AWS IoT and serverless data lakes – Part 2

In part 1 of this series, we demonstrated how to build a data pipeline in support of a data lake. We used key AWS services such as Amazon Kinesis Data Streams, Kinesis Data Analytics, Kinesis Data Firehose, and AWS Lambda. In part 2, we discuss how to process and visualize the data by creating a […]

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How to build a front-line concussion monitoring system using AWS IoT and serverless data lakes – Part 1

In this two-part series, we show you how to build a data pipeline in support of a data lake. We use key AWS services such as Amazon Kinesis Data Streams, Kinesis Data Analytics, Kinesis Data Firehose, and AWS Lambda. In part 2, we focus on generating simple inferences from that data that can support RTP parameters.

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Analyze Amazon Connect records with Amazon Athena, AWS Glue, and Amazon QuickSight

In this blog post, we focus on how to get analytics out of the rich set of data published by Amazon Connect. We make use of an Amazon Connect data stream and create an end-to-end workflow to offer an analytical solution that can be customized based on need.

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