Category: Technical How-to

Authorization systems are a critical component of modern applications, yet traditional approaches like role-based access control (RBAC) and attribute-based access control (ABAC) struggle to meet the complex access control requirements of today’s enterprises. In this post, we introduce a relationship-based access control (ReBAC) as an alternative for enterprise scale authorization. We explore how the proposed […]

We are excited to announce the availability of new features in AWS Database Migration Service (AWS DMS) replication engine version 3.5.4. This release includes two major enhancements: data masking for enhanced security and improved data validation performance. In this post, we deep dive into these two features. Refer to the release notes to see a list of all the new features available in this version.

Habby is a game studio that creates interactive entertainment to connect players worldwide. We adopted Valkey GLIDE, a client library for Amazon ElastiCache for Valkey and Redis OSS, to address our system challenges. Our system uses the Amazon ElastiCache for Redis OSS publish/subscribe (Pub/Sub) functionality for the chat message sending. However, we faced challenges with connection stability during infrastructure changes, such as instance scaling, Redis OSS version upgrades, and hardware failures. This post describes our messaging system architecture and explains how we improved system reliability by using Valkey GLIDE as the client communicating with Amazon ElastiCache.

In this post, we present a practical approach to one of the most significant challenges organizations face when adopting Amazon RDS Custom for SQL Server: migrating large datasets from SQL Server on Amazon EC2 to Amazon RDS Custom for SQL Server efficiently and cost-effectively. By using SQL Server’s native detach and attach method combined with EBS snapshots, you can migrate your databases without requiring Amazon S3 or AWS DMS.

In this post, we explore the basics of integrating a Spring Boot application with ElastiCache to enable caching. Amazon ElastiCache is a fully managed, Valkey-, Memcached-, and Redis OSS-compatible service that delivers real-time, cost-optimized performance for modern applications with 99.99% SLA availability. ElastiCache speeds up application performance, scaling to millions of operations per second with microsecond response time.

In this post, we explore key strategies and AWS tools to help you successfully migrate your high-throughput relational database while minimizing business disruption.

In this post, we demonstrate how to use generative AI and Amazon Bedrock to transform natural language questions into graph queries to run against a knowledge graph. We explore the generation of queries written in the SPARQL query language, a well-known language for querying a graph whose data is represented as Resource Description Framework (RDF).

Amazon RDS for Oracle supports specific versions of the OEM Agent. Amazon recently released OEM Management Agent version 13.5.0.0.v2 for Amazon RDS for Oracle databases. OEM Agent version 13.5.0.0.v2 requires Oracle Management Server (OMS) version 13.5.0.23 at the minimum. In this post we explore critical scenarios affecting OEM Agents on Amazon RDS for Oracle Database instances and outline essential considerations for users.

On December 1, 2024, we announced the general availability of Amazon MemoryDB Multi-Region, a fully managed, active-active, multi-Region database that you can use to build applications with up to 99.999% availability, microsecond read, and single-digit millisecond write latencies across multiple Regions. In this post, we cover the benefits of MemoryDB Multi-Region, how it works, its disaster recovery capabilities, the consistency and conflict resolution mechanisms, and how to monitor replication lag across Regions.

In this post, we explore the pgstattuple extension in depth; what insights it offers, how to use it to diagnose issues in Amazon Aurora PostgreSQL-Compatible Edition and Amazon Relational Database Service (Amazon RDS) for PostgreSQL, and best practices for harnessing its capabilities.