Category: Amazon DynamoDB

The collection, aggregation, and reporting of large volumes of data in near real time is a challenge faced by customers from many different industries, like manufacturing, retail, gaming, utilities, and financial services. In this post, we present a serverless aggregation pipeline in AWS. We start by defining the business problem, introduce a serverless architecture for […]

Managing virtual machine images that you standardize through configuration, consistent security patching, and hardening (also called “golden images”) is a time-consuming task. System administrators and database administrators responsible for these tasks have to define the characteristics of these images (such as which software to pre-install, which versions to use, and which security configurations to apply). […]

Amazon DynamoDB transactions help developers perform all-or-nothing operations by grouping multiple actions across one or more tables. These transactions provide ACID (atomicity, consistency, isolation, durability) compliance for multi-item operations in applications. The following scenarios are common use cases for DynamoDB transactions: Financial transactions where an all-or-nothing operation is required. For example, transactions can be used […]

February 9, 2024: Amazon Kinesis Data Firehose has been renamed to Amazon Data Firehose. Read the AWS What’s New post to learn more. With the announcement of Amazon CloudWatch Metric Streams, you can now stream near-real-time metrics data to a destination such as Amazon Simple Storage Service (Amazon S3). Metric Streams supports two primary use […]

With customers scaling up their AWS workloads across hundreds, if not thousands of AWS resources, customers have expressed the need to centrally manage and monitor their backups. They want to have a standardized way to manage their backups at scale. AWS Backup enables you to centralize and automate data protection across AWS services. AWS Backup […]

February 2023 Update: Console access to the AWS Data Pipeline service will be removed on April 30, 2023. On this date, you will no longer be able to access AWS Data Pipeline though the console. You will continue to have access to AWS Data Pipeline through the command line interface and API. Please note that […]

Legacy application modernization can be complex. To reduce complexity and risk, you can choose an iterative approach by first replatforming the workload to Amazon Aurora. Then you can use the cloud-native integrations in Aurora to introduce other AWS services around the edges of the workload, often without changes to the application itself. This approach allows […]

A common practice when creating a data model design, especially in the relational database management system (RDMS) world, is to start by creating an entity relationship diagram (ERD). Afterwards, you normalize your data by creating a table for each entity type in your ERD design. The term normalization refers to the process of organizing the […]

Amazon DynamoDB is a non-relational database that delivers reliable performance at any scale. It’s a fully managed, multi-Region, multi-active database that provides consistent single-digit millisecond latency and offers built-in security, backup and restore, and in-memory caching. DynamoDB offers a serverless and event-driven architecture, which enables you to use other AWS services to extend DynamoDB capability. […]

Amazon DynamoDB is a fully managed, multi-Region, multi-active database that delivers reliable performance at any scale. Because of the flexible DynamoDB data model, enterprise-ready features, and industry-leading service level agreement, customers are increasingly moving sensitive workloads to DynamoDB. Regulated industries (e.g., education, media, finance, and healthcare) may require detailed information about data access activity to […]