Category: Amazon DynamoDB

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 […]

The gaming industry has evolved significantly over the past few years. A feature that has become essential to that evolution is to be friends with other players and play together in the same game. From the players’ point of view, the process to become friends is straightforward. A player sends a friend request to another, […]

In this post, we show you how to use AWS Glue to perform vertical partitioning of JSON documents when migrating document data from Amazon Simple Storage Service (Amazon S3) to Amazon DynamoDB. You can use this technique for other data sources, including relational and NoSQL databases. DynamoDB can store and retrieve any amount of data, […]

Amazon DynamoDB global tables provide a fully managed, scalable solution for deploying a multi-Region, multi-active database that’s replicated across multiple AWS Regions. Global tables allow applications to read and write data to a table, with the data automatically replicated across all Regions that are associated with that table. Global tables are ideal for applications that […]

Database migration is a complex process that usually involves capacity planning, data migration and cutover strategies, hardware and software procurement, and a lengthy debugging and testing schedule. The common challenge in migrating from a relational database to a non-relational database is selecting the appropriate modeling technique and migration technologies. This is the second part of […]

Authorized Amazon DynamoDB users can perform actions against tables using the AWS Management Console, API, AWS CLI/SDK, or AWS CloudFormation. One of many possible operations that authorized users can perform is deleting a table. During the course of regular table management operations, authorized users might accidentally delete a table. Accidental deletion of a table can […]

This post is co-written with Sanjna Srivatsa, Data Scientist at VMware. Amazon DynamoDB provides discounts ranging from 50 percent to 77 percent to customers who commit to paying for a minimum usage level, called reserved capacity. In this post, you learn how to use historical DynamoDB usage data to make your first DynamoDB reserved capacity […]

Point-in-time recovery (PITR) in Amazon DynamoDB is a fully managed capability that creates continuous backups of your DynamoDB table data. Continuous backups are important to ensure business continuity and compliance with regulations, and to protect against human errors, such as unintended writes or deletes. When PITR is enabled for a DynamoDB table, DynamoDB automatically backs […]