AWS Database Blog

Today, customers using Amazon Relational Database Service (Amazon RDS) for Oracle have several managed high availability (HA) and disaster recovery (DR) capabilities to choose from based on your business requirements and use cases: With Amazon RDS Multi-AZ, you get enhanced availability and durability for database (DB) instances within a specific AWS Region. This is often […]

October 2022: This post was reviewed and updated with a new architecture diagram and code updates to factor the change from CDK 1.x to CDK 2.x. Amazon ElastiCache for Redis is an AWS managed, Redis-compliant service that provides a high-performance, scalable, and distributed key-value data store that you can use as a database, cache, message […]

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 […]

When using a document data store as your service’s source of truth, you may need to share the changes of this source with other downstream systems. The data events that are happening within this data store can be converted to business events, which can then be sourced into multiple microservices that implement different business functionalities. […]

This is a guest post by Russell Waterson, Knowledge Graph Engineer at Data Lens Ltd. Customers use knowledge graphs to consolidate and integrate information assets and make them more readily available. Building knowledge graphs by getting data from disparate existing data sources can be expensive, time-consuming, and complex. Project planning, project management, engineering, maintenance and […]

This is a guest post by Russell Waterson, Knowledge Graph Engineer at Data Lens Ltd. Customers use knowledge graphs to consolidate and integrate information assets and make them more readily available. Building knowledge graphs by getting data from disparate existing data sources can be expensive, time-consuming, and complex. Project planning, project management, engineering, maintenance and […]

Database administrators set up monitoring on database log files to get alerted on certain informational and critical events relating to a pattern of errors specific to a database. Monitoring for errors on a business-critical database is essential to avoid unexpected outcomes such as a missed service-level agreement (SLA), which might result in penalties. A good […]

August 2025: This post was reviewed for accuracy. There are many different ways to achieve disaster recovery objectives based on business requirements, but finding the best option for a particular situation can get overwhelming. The innovation and commercial-grade features that come with Amazon Aurora MySQL-Compatible Edition expands these options even further. This post outlines options […]

Customers often use Amazon ElastiCache for real-time transactional and analytical use cases. It provides high throughout and low latencies, while meeting a variety of business needs. Because it uses in-memory data structures, typical use cases include database and session caching, as well as leaderboards, gaming and financial trading platforms, social media, and sharing economy apps. […]

Time series data is a sequence of data points recorded over a time interval. This type of data is used for measuring events that change over time, such as stock prices, temperature measurements, or CPU utilization of an Amazon Elastic Compute Cloud (Amazon EC2) instance. With time series data, each data point consists of a […]