Category: Amazon DynamoDB

Regular backups are a key component of designing business-critical applications to be resilient in the event of any failure situation. They provide many benefits, the most important being data protection, more efficient recovery of data in the event of disruptions, compliance with organization and legal requirements, and simplified maintenance. Point-in-time recovery (PITR) for DynamoDB provides […]

This post is co-authored with Vivek Yadav from Koo. Koo is a global micro-blogging platform that allows users to share their thoughts and opinions in various languages. Launched in March 2020, the app has quickly gained immense popularity, with millions of users joining the platform to share their views and connect with like-minded individuals. In […]

Amazon DynamoDB supports transactions to give atomicity, consistency, isolation, and durability (ACID), helping you maintain data consistency in your workloads. A database transaction is a sequence of multiple operations that are performed on one or more tables. These sequences of multiple operations represent a unit of work that is committed to the tables or rolled […]

Amazon DynamoDB allows you to store JSON objects into attributes and perform many operations on these objects, including filtering, updating, and deleting. This is a very powerful capability because it allows applications to store objects (JSON data, arrays) directly into DynamoDB tables, and still retain the ability to use nested attributes within these objects in […]

Amazon DynamoDB is a fully managed, serverless, key-value NoSQL database designed to run high-performance applications at any scale. DynamoDB charges for reading, writing, and storage of your DynamoDB tables, along with any optional features you choose to enable. When you create a DynamoDB table, you choose from two capacity modes that have different billing options […]

Global tables build on the global Amazon DynamoDB footprint to provide you with a fully managed, multi-Region, multi-active database that delivers fast, local, read and write performance for massively scaled, global applications. Global tables replicate your DynamoDB tables automatically across your choice of AWS Regions. DynamoDB Shell is an interactive command line interface for DynamoDB. […]

Amazon DynamoDB uses horizontal scaling to support tables of virtually any size. In addition to horizontal scaling, DynamoDB provides single-digit millisecond performance for workloads of all sizes. Retail sites like Amazon.com use DynamoDB for their shopping carts and workflow engines. A slow response while processing an order can not only be frustrating to customers, but […]

This is a guest post co-authored by Berkay Berkman, Yağız Yanıkoğlu, Mutlu Polatcan, Mahmut Turan, Umut Cemal Kıraç from Getir. Getir is an ultrafast delivery pioneer that revolutionized last-mile delivery in 2015 with its 10-minute grocery delivery proposition. Getir’s story started in Istanbul, and they launched operations in the UK, Netherlands, Germany, France, Spain, Italy, […]

Amazon DynamoDB sends metrics about its operations to Amazon CloudWatch. At the time of this writing, the list includes 33 metrics including: throughput consumed and provisioned, account and table limits, request latencies, system errors, and user errors. Two metrics not included are the DynamoDB table size and item count. These values can be observed in […]

When developing applications, you often need to implement a counter to accurately track actions such as votes cast, the available quantity of a resource in an eCommerce store, or tickets available for an event. These counters must be updated as the resource quantity changes. In this post, we explore seven approaches to implementing resource counters […]