Category: Technical How-to

Migrating an Oracle application and its underlying database to the cloud can be inherently complex. Complexity is significantly amplified by various factors, including operating system compatibility, database and application version, software availability, database storage technologies such as Automatic Storage Management (ASM), and stringent business downtime requirements. AWS Application Migration Service accelerates the migration of applications to Amazon Web Services (AWS) by automatically replicating entire servers at the block level. In this post, we show you the process of migrating Oracle E-Business Suite to AWS using Application Migration Service.

Aurora Limitless is a database solution that grows and shrinks vertically and horizontally with the current workload requirements. In this post, we show you how to test performance with the common tool pgbench. This tool is used with single-node database management systems (DBMS) and is optimized for single-node use cases. As we shall see in this post, this doesn’t mean that the tool measure what we think when it comes to multi-node systems. We demonstrate how it works with Aurora Limitless. We also discuss the obstacles and opportunities you might encounter when using this tool with Aurora Limitless.

Amazon DynamoDB is a serverless, NoSQL, fully managed database service that delivers single-digit millisecond latency at any scale. AWS recently announced the general availability of attribute-based access control (ABAC) for Amazon DynamoDB. ABAC is an authorization strategy that defines permissions based on attributes. In AWS, these attributes are called tags. You can attach tags to […]

PostgreSQL’s ability to handle concurrent access while maintaining data consistency relies heavily on its locking mechanisms, particularly at the row level. When multiple transactions attempt to lock the same row simultaneously, PostgreSQL turns to a specialized structure called MultiXact IDs. While MultiXacts provide an efficient way to manage multiple locks on a single row, they […]

This is the second post of a two-part series. In Part 1, we explored how you can use Automatic Data Optimization (ADO) and Oracle Information Lifecycle Management (ILM) policies for data compression. In this post, we demonstrate how to use Heat Map statistics to monitor data usage and integrate this information with hybrid partitioning and ILM data movement policies to move data to more cost-effective storage solutions.

In this two-part series, we demonstrate how to optimize storage for Oracle database workloads on AWS by using Oracle’s built-in features, such as Heat Map, Automatic Data Optimization (ADO), and hybrid partitioning. These features help classify data by its lifecycle stage and automate data management tasks to significantly reduce storage costs, while enhancing database performance, especially for growing datasets. In this post, we explore how to use ADO and Oracle ILM policies to automatically compress data based on usage patterns.

In this post, we guide you through the process of benchmarking the performance of Amazon RDS for PostgreSQL using the Dedicated Log Volume (DLV) feature. To do this, we use pgbench – a tool for running benchmark tests on PostgreSQL databases, pgbench repeatedly executes a defined sequence of SQL commands across multiple concurrent database sessions. Through our benchmarking, you’ll learn how to quantify the performance improvements delivered by DLV.

Infrastructure as Code (IaC) is the practice of provisioning and managing your computing infrastructure using code, rather than manual processes and settings. Popular IaC tools, services, and platforms include Terraform, AWS CloudFormation, Ansible, and Pulumi, each offering unique features to automate and manage infrastructure across various cloud environments. In this post, we demonstrate how Terraform, one of our partner products, can be used to deploy and manage RDS for Db2 instance.

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