Category: RDS for SQL Server

Customers running their workload on SAP Adaptive Server Enterprise (Sybase ASE) databases often ask us how they can modernize their workload as they move to AWS with minimum application changes. Customers who want to keep Transact-SQL (T-SQL) as their preferred database programming language and Tabular Data Stream (TDS) as their communication protocol can take advantage […]

Enterprises are migrating their Microsoft SQL Server workloads to AWS fully managed database services like Amazon Relational Database Service (Amazon RDS) for SQL Server, which makes it easy to set up, operate, and scale SQL Server deployment in the cloud. AWS provides guidance on migrating from an on-premises SQL Server database to Amazon RDS for […]

Amazon Relational Database Service (Amazon RDS) for SQL Server supports Transparent Data Encryption (TDE) to encrypt stored data on your DB instances running Microsoft SQL Server. TDE automatically encrypts data before it’s written to storage, and decrypts data when the data is read from storage. TDE certificates expire depending on when the certificate is generated […]

Organizations often choose from commonly used migration strategies for their on-premises to cloud migration. The choice depends on various factors, including target state goals and business outcomes (for more information, see Your cloud transformation journey). In this post, we discuss a re-platforming strategy where you consolidate data from multiple on-premises SQL Server database servers to […]

AWS provides multiple tools, techniques and metrics to monitor and alarm on, giving you a view over what is going on in the Amazon Relational Database Service (Amazon RDS) for SQL Server and how to optimize the operation and performance of RDS for SQL Server Instance. In our previous post, we presented an overview of […]

Database monitoring is the process of measuring and tracking database performance. The performance is measured by analyzing certain key metrics at the Database level and Operating System level. Effective database monitoring and timely alerting also gives you an opportunity to enhance or optimize your database, to augment overall performance and minimize downtime. AWS provides multiple tools, […]

This post is part three of a series, and shows the steps to modernize a legacy SQL Server database to Amazon Aurora PostgreSQL-Compatible Edition using Babelfish. Babelfish is a capability of Amazon Aurora that allows it to understand the SQL Server dialect. In Part 1, we walked you through a step-by-step approach to re-architect a […]

Customers have asked for the right solution to safeguard their data on Amazon Relational Database Service (Amazon RDS) for SQL Server and meet their current Recovery Point Objective (RPO), the maximum acceptable amount of time since the last backup and Recovery Time Objective (RTO), the maximum acceptable delay between the interruption of service and restoration […]

A common use case for Enterprise workloads is to have a reliable and effective disaster recovery (DR) strategy that keeps your database applications in operation with little or no disruption even if an entire Region is unavailable. Amazon Relational Database Service (Amazon RDS) for SQL Server is a fully managed database that makes it easy […]

For many organizations, performance is a key priority for databases that need to handle a high load. Amazon Relational Database Service (Amazon RDS) is a managed service with a cost-efficient, reliable, and highly scalable database offering which makes it a suitable use case for such requirements. In this post, I walk you through benchmarking Amazon […]