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
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
In Part1, we have learned and built the AWS services (API Gateway, Lambda, DynamoDB) specific components of the serverless architecture as shown below. We shall build the rest of the serverless architecture in this article. To sum it up, we will build Jotter (a note taking app) in React and use Amplify to talk to... » read more
In this series we shall be building Jotter (a note taking app). Jotter is a serverless web application built with React and Amplify using AWS cloud services. The illustration below depicts the serverless architecture we are going to build. After deployment: Understanding Serverless: Just put your code on cloud and run it. Without worrying about... » read more
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