AWS Database Blog

Amazon DynamoDB is a fully managed, serverless, key-value NoSQL database designed to run high-performance applications at any scale. DynamoDB can store and retrieve any amount of data. As the data grows and becomes cold, many use cases such as session management or order management require archival of the older unneeded items. DynamoDB has a feature […]

You may have a workload where you want to automate scaling, such as a reporting application with unpredictable increases in queries, or an application with database utilization increasing at predictable times like end-of-month reporting. Scaling a database to appropriately handle workload demand is important to help manage cost, operations, performance, security, and reliability. With Amazon […]

When migrating Oracle Database applications to AWS, you have many opportunities to modernize and optimize your architecture. This migration provides increased agility and flexibility, as well as the potential to migrate to a fully managed service, such as Amazon Relational Database Service (Amazon RDS) for Oracle. RDS for Oracle offers compute scaling, automated backups, event […]

The structured data industry has been experiencing exponential data growth year by year. It’s important for the relational database users to get smart with its data storage footprint by understanding data relevance while keeping its business needs in mind. Data archive is the critical part of data management, as it enables us to keep business […]

Amazon DevOps Guru for RDS is a new capability for Amazon DevOps Guru that helps developers using Amazon Aurora database instances detect, diagnose, and resolve database performance issues fast and at scale. DevOps Guru for RDS uses machine learning (ML) to automatically identify and analyze a wide range of performance-related database issues, such as over-utilization […]

Amazon Relational Database Service (Amazon RDS) for SQL Server now supports the direct migration of transparent database encryption (TDE)-enabled databases by using the native backup and restore feature. Previously, to migrate a TDE-enabled database from on premises to Amazon RDS for SQL Server, you had to disable the TDE at your on-premises (source) database and […]

As part of migrating and modernizing your databases, you may continue to use your stored procedures and scheduling jobs that consolidate data from remote instances into your centralized data store. AWS Schema Conversion Tool (AWS SCT) helps you convert your legacy Oracle and SQL Server functions to their open-source equivalent. But how do you continue […]

Customers across all industries use Amazon DynamoDB as the primary database for their mission critical workloads. DynamoDB is designed to provide consistent performance at any scale. To take advantage of this performance, one of the most important tasks to complete is data modeling. Your success with DynamoDB depends on how well you define and model […]

You can use Splunk Cloud Platform to monitor your entire infrastructure, including database servers hosted in AWS, on premises, or both. In this post we provide you detailed steps on how Splunk can connect to Amazon CloudWatch Logs using AWS Identity and Access Management (IAM) user credentials and pull database log files for Amazon Relational […]

Heterogeneous database migration is a multistage process, which usually includes assessment, database schema conversion, data migration, functional testing, performance tuning, and many other steps spanning across multiple teams. Migration from IBM Db2 LUW to Amazon Aurora PostgreSQL-Compatible Edition or Amazon Relational Database Service (Amazon RDS) for PostgreSQL is heterogeneous in nature, and traditionally follows similar […]