AWS Database Blog
Implementing a fall forward strategy from HAQM RDS for SQL Server Transparent Data Encryption (TDE) and Non-TDE Enabled databases to self-managed SQL Server
In this post, we discuss how to set up a rollback strategy using a fall forward approach from HAQM RDS for SQL Server transparent database encryption (TDE)- and non-TDE-enabled databases to self-managed SQL Server, utilizing SQL’s native backup and restore option.
Best practices for HAQM RDS for SQL Server with HAQM EBS io2 Block Express volumes up to 64 TiB
HAQM RDS for SQL Server now supports HAQM EBS io2 Block Express volumes. These volumes are designed to support all your critical database workloads that demand high performance, high throughput, and consistently low latency. io2 Block Express volumes support 99.999% durability, up to 64 TiB storage, up to 4,000 MiB/s throughput, and up to 256,000 Provisioned IOPS for your most demanding database needs, at the same price as EBS io1 volumes. In this post, we share best practices to use the io2 Block Express volumes with RDS for SQL Server DB instances.
Schneider Electric automates Salesforce account hierarchy management with generative artificial intelligence (AI) using HAQM Aurora and HAQM Bedrock
Schneider Electric is a leader in digital transformation in energy management and industrial automation. To effectively manage customer account hierarchies in its CRM at scale, Schneider Electric started leveraging advances in generative artificial intelligence (AI) large language models (LLMs) in April 2023. They created a solution to make timely updates to their customer account hierarchies in their CRM by linking customer account information to the correct parent company based on the latest information retrieved from the Internet and proprietary datasets. In this post, we explore further iterations of this project and how the team applied what they learned to the Salesforce CRM system using HAQM Aurora and HAQM Bedrock.
Make relevant movie recommendations using HAQM Neptune, HAQM Neptune Machine Learning, and HAQM OpenSearch Service
In this post, we discuss a design for a highly searchable movie content graph database built on HAQM Neptune, a managed graph database service. We demonstrate how to build a list of relevant movies matching a user’s search criteria through the powerful combination of lexical, semantic, and graphical similarity methods using Neptune, HAQM OpenSearch Service, and Neptune Machine Learning. To match, we compare movies with similar text as well as similar vector embeddings. We use both sentence and graph neural network (GNN) models to build these embeddings.
Implement UUIDv7 in HAQM RDS for PostgreSQL using Trusted Language Extensions
UUID Version 7 (UUIDv7) was introduced to improve the randomness of UUIDv4. UUIDv7 encodes a Unix timestamp with millisecond precision in the first 48 bits of the UUID, meaning that UUIDv7 is time-based and sequential. Trusted Language Extensions (pg_tle) for PostgreSQL is a new open source development kit to help you build high performance extensions that run safely on PostgreSQL. In this post, we demonstrate how to create and install a Trusted Language Extension (TLE) using PL/Rust as the trusted language to generate a UUIDv7. We also take a deeper look into the underlying implementation of the extension.
Use the AWS InfluxDB migration script to migrate your InfluxDB OSS 2.x data to HAQM Timestream for InfluxDB
AWS has partnered with InfluxData to launch HAQM Timestream for InfluxDB, a managed version of the popular InfluxDB 2.x open source time series database engine. In this post, we demonstrate how to use the AWS InfluxDB migration script to migrate your data from your existing InfluxDB OSS 2.x instances to Timestream for InfluxDB. At the end of this post, we show one way to perform a live migration, with additional AWS resources.
Run an Ethereum staking service on HAQM EKS
In September 2022, Ethereum transitioned to a Proof of Stake (PoS) consensus model. This change allows anyone with a minimum of 32 ether to stake their holdings and operate a validator node, thereby participating in network validation and earning staking rewards. In this post, we explore the technical challenges and requirements of operating an institutional-grade Ethereum staking service. Additionally, we outline a solution for deploying an Ethereum staking service on AWS.
Ola Money achieved operational excellence, disaster recovery site in Asia Pacific (Hyderabad) Region, and up to 60% cost savings using HAQM Aurora
Ola Money is a financial service provided by Ola Financial Services (OFS), which is part of the Ola group of companies. In this post, we share the modernization journey of Ola Money’s MySQL workloads using HAQM Aurora, a relational database management system built for the cloud with MySQL and PostgreSQL compatibility that gives the performance and availability of commercial-grade databases at one-tenth the cost.
New HAQM Neptune engine version delivers up to 9 times faster and 10 times higher throughput for openCypher query performance
Starting with the HAQM Neptune engine version 1.3.2.X, openCypher query performance is up to 9 times faster and provides up to 10 times higher throughput than previous engine releases. You can create a new cluster or upgrade to this release for faster query performance, more open source features, and additional benefits.
Export HAQM RDS for MySQL and MariaDB databases to HAQM S3 using a custom API
As customers are migrating to the AWS Cloud to take advantage of managed database services such as HAQM RDS for MySQL, HAQM RDS for MariaDB, and HAQM Aurora MySQL-Compatible Edition, they also look to automate these administrative tasks. This post shows how a DBA or other user with access to a custom API can make MySQL and MariaDB backup requests. It uses Infrastructure as Code (IaC) with the AWS CDK to simplify the deployment.