AWS Database Blog

In this post, we show you how to use HAQM ElastiCache as a write-through cache for an application that uses an HAQM Keyspaces (for Apache Cassandra) table to store data about book awards. We use a Cassandra Python client driver to access HAQM Keyspaces programmatically and a Redis client to connect to the ElastiCache cluster.

In this post, AWS Service Sector Industry Solutions shares our journey in developing a feature that enables customers to efficiently locate and delete personal data upon request, helping them meet GDPR compliance requirements. The mission of the Service Sector Solutions Engineering Team is to accelerate AWS Cloud adoption across diverse industries, including Travel, Hospitality, Gaming, and Entertainment. We work with customers from Cruise Lines, Lodging, Alternative Accommodation, Travel Agencies, Airports, Airlines, Restaurants, Catering, Casinos, Lotteries, and more.

In certain customer scenarios, HAQM RDS for Oracle databases need to connect to external data sources, such as RDS for PostgreSQL. PostgreSQL can establish connections to Oracle databases using a foreign data wrapper (FDW). In this post, we walk you through setting up an EC2 instance as a database gateway server. You will install and configure Oracle Database Gateway for ODBC (DG4ODBC), ODBC drivers, a PostgreSQL client, and PostgreSQL libraries. With this setup, you can create database links on RDS for Oracle to connect to PostgreSQL through this gateway.

In our previous post, Capture and tune resource utilization metrics for HAQM RDS for SQL Server,’ we demonstrated how to use HAQM RDS Enhanced Monitoring and HAQM RDS Performance Insights to diagnose and debug CPU utilization bottlenecks for HAQM Relational Database Service (HAQM RDS) for SQL Server. Aside from CPU and memory, I/O performance is critical for overall database performance. It’s important to understand the I/O requirements of a SQL Server workload, which is dependent on various factors like query access patterns, database schema, and state of database maintenance. Understanding your workload’s, I/O patterns can guide you in selecting the optimal storage type for your RDS instance, balancing performance needs with cost-effectiveness. In this post, we demonstrate how you can use HAQM RDS monitoring tools along with SQL Server monitoring capabilities to capture, diagnose, and resolve I/O issues on an RDS for SQL Server instance.

It’s November, which means that AWS re:Invent 2024 is just around the corner! We’ve summarized a list of re:Invent sessions that include HAQM DynamoDB. We encourage readers who are interested in learning more about DynamoDB to bookmark this list to streamline how you schedule your conference week in Las Vegas this year.

This is a guest post written by Jon Haddad an Apache Cassandra committer specializing in performance tuning, fixing broken clusters, and cost optimization. In this post, we discuss the basics of improving the performance of HAQM EBS with Cassandra to take advantage of the operational benefits. We explore some basic tools used by Cassandra operators to gain insight into key performance metrics. You can then apply these metrics to modify key operating system (OS) tuneables and Cassandra configuration. Finally, we review benchmarks on performance gains by implementing best practices for HAQM EBS.

In this post, we provide a step-by-step guide to update the endpoint name for a new HAQM RDS instance while keeping the existing endpoint name, along with key considerations for this process.

With Oracle Multitenant, you can consolidate standalone databases by either creating them as PDBs or migrating them to PDBs. Performance Insights has introduced a new PDB dimension to help you visualize and analyze the distribution of the load on individual PDBs within the CDB on a RDS for Oracle instance. Now, you can slice the database load metric by the PDB and SQL dimensions to identify the top queries running on each of the PDBs. In this post, we will discuss how to identify resource-intensive SQL queries at a PDB level on a visual dashboard in Performance Insights.

Channel Corporation is a B2B software as a service (SaaS) startup that operates the all-in-one artificial intelligence (AI) messenger Channel Talk. In Part 1 of this series, we introduced our motivation for NoSQL adoption, technical problems with business growth, and considerations for migration from PostgreSQL to HAQM DynamoDB. In this post, we share our experience integrating with other services to solve areas that couldn’t be addressed with DynamoDB alone.

Channel Corporation is a B2B software as a service (SaaS) startup that operates the all-in-one artificial intelligence (AI) messenger Channel Talk. This two-part blog series starts by presenting the motivation and considerations for migrating from RDBMS to NoSQL. In this post, we discuss the motivation behind Channel Corporation’s architecture modernization with HAQM DynamoDB, the reason behind choosing DynamoDB, and the four major considerations before migrating from HAQM Relational Database Service (HAQM RDS) for PostgreSQL.