Category: Database

Introduction Today customers want to reduce manual operations for deploying and maintaining their infrastructure. The recommended method to deploy and manage infrastructure on AWS is to follow Infrastructure-As-Code (IaC) model using tools like AWS CloudFormation, AWS Cloud Development Kit (AWS CDK) or Terraform. One of the critical components in terraform is managing the state file which […]

Recently, we launched a new AWS Cloud Development Kit (CDK) construct for Amazon DynamoDB tables, known as TableV2. This construct provides a number of new features in addition to what the original construct offered, enabling CDK authors to create global tables, simplifying the configuration of global secondary indexes and auto scaling, as well as supporting […]

We are excited to announce that the AWS SDK for Java 2.x now offers the Enhanced Document API for DynamoDB, providing an enhanced way of working with Amazon DynamoDb items. This post covers using the Enhanced Document API for DynamoDB with the DynamoDB Enhanced Client. By using the Enhanced Document API, you can create an […]

Many organizations require durable automated code delivery for their applications. They leverage multi-account continuous integration/continuous deployment (CI/CD) pipelines to deploy code and run automated tests in multiple environments before deploying to Production. In cases where the testing strategy is release specific, you must update the pipeline before every release. Traditional pipeline stages are predefined and […]

The Relational Database Management System (RDBMS) is a popular choice among organizations running critical applications that supports online transaction processing (OLTP) use-cases. But managing the RDBMS database comes with its own challenges. AWS has made it easier for organizations to operate these databases in the cloud, thereby addressing the undifferentiated heavy lifting with managed databases […]

Performing controlled chaos experiments on your Amazon Relational Database Service (RDS) database instances and validating the application behavior is essential to making sure that your application stack is resilient. How does the application behave when there is a database failover? Will the connection pooling solution or tools being used gracefully connect after a database failover […]

Amazon DevOps Guru is an ML powered service that makes it easy to improve an application’s operational performance and availability. By analyzing application metrics, logs, events and traces, DevOps Guru identifies behaviors that deviate from normal operating patterns and creates insights that you can use to improve your application. At re:Invent 2021, we announced a […]

Applying various transformations to images at scale is an easily parallelized and scaled task. As a Computer Vision research team at Amazon, we occasionally find that the amount of image data we are dealing with can’t be effectively computed on a single machine, but also isn’t large enough to justify running a large and potentially […]

Feature toggles (or feature flags) are a software development technique allowing developers to programmatically enable or disable features of an application. In practice, feature toggles control a system’s behavior by controlling conditional statements in the application code. Feature toggles have a number of use cases: Selectively enable or disable features – You can use feature […]

The Indian government announced the Open API Service from Aarogya Setu (ASetu) in August, 2020. It enables organizations and business entities to fetch the COVID-19 risk status of their employees or any other ASetu app users. Most office spaces have a visitor management system that controls access or logs the identities of people entering the […]