AWS Database Blog

Category: Database

How power utilities analyze and detect harmonics issues using power quality and customer usage data with Amazon Timestream: Part 2

In the first post of the series, we demonstrated how to use an Amazon Timestream database and its built-in time series functionalities to interpolate data and calculate the correlation between customer energy usage and power quality issues. In this post, we show you how to build a power quality analysis Proof of Concept (PoC) using […]

Impactful features in PostgreSQL 15

PostgreSQL is one of the most popular open-source relational database systems. The product of more than 30 years of development work, PostgreSQL has proven to be a highly reliable and robust database that can handle a large number of complicated data workloads. AWS offers services that make PostgreSQL database deployments straightforward to set up, manage, […]

Detect and fix low cardinality indexes in Amazon DocumentDB

Amazon DocumentDB (with MongoDB compatibility) is a fully managed native JSON document database that makes it easy and cost effective to operate critical document workloads at virtually any scale without managing infrastructure. It’s a best practice to create indexes to improve query performance especially when database size is very large. Without indexes, queries have to […]

Prewarm an Amazon RDS for Oracle database to reduce the impact of lazy loading

Amazon Relational Database Service (Amazon RDS) uses Amazon Elastic Block Store (Amazon EBS) as an underlying storage. RDS snapshots (automated and manual) are saved in Amazon Simple Storage Service (Amazon S3). For RDS instances that are restored from snapshots, the instances are made available as soon as the needed infrastructure is provisioned. However, there is […]

Implement Time to Live in Amazon Neptune, Part 1: Property Graph

Time to Live (TTL) is a mechanism that helps determine the longevity or lifespan of data, files, infrastructure, or even entire environments. When working with data, it could represent the amount of time a leaderboard expires in memory before being reloaded from storage, or how long a file must be kept for regulatory or compliance […]

Refactor admin task scheduler job schedules from IBM Db2 LUW to Amazon RDS for MySQL, Amazon RDS for MariaDB, or Amazon Aurora MySQL

The administrative task scheduler (ATS) in Db2 LUW is a component that allows you to automate and schedule administrative tasks within the database. It provides a convenient way to schedule recurring tasks, such as backups, maintenance activities, data imports, exports, and other administrative operations. Some key features and capabilities of the DB2 LUW ATS include: […]

New – Fully managed Blue/Green Deployment in Amazon Aurora PostgreSQL and Amazon RDS for PostgreSQL

For workloads that require simpler orchestration of creating a staging environment for extensive testing and achieve maximum availability during a major version upgrade, we’re pleased to announce the general availability of Amazon RDS blue/green deployments for Amazon Aurora PostgreSQL-Compatible Edition and Amazon RDS for PostgreSQL for versions 11.21 and higher, 12.16 and higher, 13.12 and higher, 14.9 and higher, and 15.4 and higher in all applicable AWS Regions and AWS GovCloud (US) Regions. In this post, we walk through an example of creating a blue/green deployment. We also show how to perform major version upgrades using blue/green deployment with minimal downtime and describe the switchover process. Finally, we discuss the best practices for using blue/green deployment.

Reduce downtime with Amazon Aurora MySQL database restart time optimizations

When using Amazon Aurora MySQL-Compatible Edition for operating your relational databases in the AWS cloud, one of the key requirements is to verify that it is highly available during planned and unplanned outages. As database administrators, you should perform occasional database maintenance. This can be in the form of database patching, upgrades, database parameter modifications […]

Upgrade your Amazon DocumentDB clusters using AWS DMS

In the fast-paced digital landscape, businesses rely heavily on their data store to manage critical information, making their seamless functioning indispensable. As the technology evolves, applications become mission critical, and so do the databases that power these enterprises. This necessitates periodic upgrades to maintain optimal performance and security. Although upgrades offer enhanced capabilities, the challenge […]

Build a sensor network using AWS IoT Core and Amazon DocumentDB

In this post, we discuss how you can build an Internet of Things (IoT) sensor network solution to process IoT sensor data through AWS IoT Core and store it with Amazon DocumentDB (with MongoDB compatibility). An IoT sensor network consists of multiple sensors and other devices like RFID readers made by various manufacturers, generating JSON […]