AWS Big Data Blog

Tag: Amazon Kinesis

AWS CloudFormation Supports Amazon Kinesis Analytics Applications

by Ryan Nienhuis, Chris Marshall, and Nehal Mehta | on | in Amazon Kinesis* | Permalink | Comments |  Share

You can now provision and manage resources for Amazon Kinesis Analytics applications using AWS CloudFormation.  Kinesis Analytics is the easiest way to process streaming data in real time with standard SQL, without having to learn new programming languages or processing frameworks. Kinesis Analytics enables you to query streaming data or build entire streaming applications using […]

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Perform Near Real-time Analytics on Streaming Data with Amazon Kinesis and Amazon Elasticsearch Service

Nowadays, streaming data is seen and used everywhere—from social networks, to mobile and web applications, IoT devices, instrumentation in data centers, and many other sources. As the speed and volume of this type of data increases, the need to perform data analysis in real time with machine learning algorithms and extract a deeper understanding from […]

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Visualize and Monitor Amazon EC2 Events with Amazon CloudWatch Events and Amazon Kinesis Firehose

Monitoring your AWS environment is important for security, performance, and cost control purposes. For example, by monitoring and analyzing API calls made to your Amazon EC2 instances, you can trace security incidents and gain insights into administrative behaviors and access patterns. The kinds of events you might monitor include console logins, Amazon EBS snapshot creation/deletion/modification, […]

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Build a Real-time Stream Processing Pipeline with Apache Flink on AWS

This post has been translated into Japanese. In today’s business environments, data is generated in a continuous fashion by a steadily increasing number of diverse data sources. Therefore, the ability to continuously capture, store, and process this data to quickly turn high-volume streams of raw data into actionable insights has become a substantial competitive advantage […]

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Encrypt and Decrypt Amazon Kinesis Records Using AWS KMS

Customers with strict compliance or data security requirements often require data to be encrypted at all times, including at rest or in transit within the AWS cloud. This post shows you how to build a real-time streaming application using Kinesis in which your records are encrypted while at rest or in transit. Amazon Kinesis overview […]

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Analyzing VPC Flow Logs with Amazon Kinesis Firehose, Amazon Athena, and Amazon QuickSight

Many business and operational processes require you to analyze large volumes of frequently updated data. Log analysis, for example, involves querying and visualizing large volumes of log data to identify behavioral patterns, understand application processing flows, and investigate and diagnose issues. VPC flow logs capture information about the IP traffic going to and from network […]

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Implement Serverless Log Analytics Using Amazon Kinesis Analytics

Applications log a large amount of data that—when analyzed in real time—provides significant insight into your applications. Real-time log analysis can be used to ensure security compliance, troubleshoot operation events, identify application usage patterns, and much more. Ingesting and analyzing this data in real time can be accomplished by using a variety of open source […]

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Joining and Enriching Streaming Data on Amazon Kinesis

Are you trying to move away from a batch-based ETL pipeline? You might do this, for example, to get real-time insights into your streaming data, such as clickstream, financial transactions, sensor data, customer interactions, and so on.  If so, it’s possible that as soon as you get down to requirements, you realize your streaming data […]

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Scale Your Amazon Kinesis Stream Capacity with UpdateShardCount

Allan MacInnis is a Kinesis Solution Architect for Amazon Web Services Starting today, you can easily scale your Amazon Kinesis streams to respond in real time to changes in your streaming data needs. Customers use Amazon Kinesis to capture, store, and analyze terabytes of data per hour from clickstreams, financial transactions, social media feeds, and […]

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Real-time Clickstream Anomaly Detection with Amazon Kinesis Analytics

Chris Marshall is a Solutions Architect for Amazon Web Services Analyzing web log traffic to gain insights that drive business decisions has historically been performed using batch processing.  While effective, this approach results in delayed responses to emerging trends and user activities.  There are solutions to deal with processing data in real time using streaming […]

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