Programmatically Updating Autoscaling policy on DynamoDB with boto3: Application Auto Scaling

In this blog post, we will be learning how to programmatically update the auto-scaling policy settings of a DynamoDB table. The idea is to scale it smoothly (minimal write request throttling) irrespective of the anticipated traffic spikes it receives. We do this using AWS Application Auto Scaling and Lambda (boto3). Understanding how DynamoDB auto-scales DynamoDB... » read more

Federated Querying across Relational, Non-relational, Object, and Custom Data Sources using Amazon Athena

Querying Data from DynamoDB in Amazon Athena Amazon Athena now enables users to run SQL queries across data stored in relational, non-relational, object, and custom data sources. With federated querying, customers can submit a single SQL query that scans data from multiple sources running on-premises or hosted in the cloud. Athena executes federated queries using... » read more

Processing Kinesis Data Streams with Spark Streaming

Solution Overview : In this blog, we are going to build a real time anomaly detection solution using Spark Streaming. Kinesis Data Streams would act as the input streaming source and the anomalous records would be written as Data Streams in DynamoDB. Amazon Kinesis Data Streams (KDS) is a massively scalable and durable real-time data streaming... » read more