When developing an application with Amazon DynamoDB, sometimes you want new items inserted into a table to have an ever-increasing sequence number. Some databases call this auto-increment and automatically populate the value on insert. Example use-cases could be giving a customer order or a support ticket a numeric identifier. DynamoDB doesn’t provide auto-increment as an […]
Cross-account Amazon RDS for Oracle migration using Amazon RDS snapshots and AWS DMS for minimal downtime
In scenarios such as consolidating or merging multiple departments with separate AWS accounts into a single AWS account, splitting a single account or divisions into multiple AWS accounts for better management, or duplicating an AWS account across Regions, you often need to migrate the database from one AWS account to another with minimal downtime and […]
Migrate a cross-account TDE-enabled Amazon RDS for Oracle DB instance with reduced downtime using AWS DMS
Migrating a Transparent Data Encryption (TDE)-enabled Amazon Relational Database Service (Amazon RDS) for Oracle database instance from one AWS account to another is a common use case in scenarios when you acquire, sell, or merge operations, or if you’re reorganizing your AWS accounts and organizational structure. TDE is a permanent and persistent option in RDS […]
Amazon DynamoDB is a key-value and document database that delivers single-digit millisecond performance at any scale. It’s a fully managed, multi-Region, multi-active, durable database with built-in security, backup and restore, and in-memory caching for internet-scale applications. In 2020, DynamoDB introduced a feature to export DynamoDB table data to Amazon Simple Storage Service (Amazon S3) with […]
Build an ultra-low latency online feature store for real-time inferencing using Amazon ElastiCache for Redis
Over the last several years, the growth of Machine Learning (ML) has changed the paradigm of how a business operates at its core, forcing the conversation of how to tightly integrate ML into critical decision points for a user. ML can help businesses by improving customer interactions, boosting sales, and improving operating efficiency. This can […]
A common use case for Amazon RDS Custom for SQL Server is to offload the undifferentiated heavy lifting of managing the underlying infrastructure of the cluster when running SQL Server Analysis Services (SSAS). SSAS is an analytical data engine, based on the VertiPaq technology which is used in decision support and business analytics.In this post, we explain how to launch and setup Amazon RDS Custom for SQL Server and enable SSAS to run either Tabular or Multi-Dimensional model modes.
Customers often ask us how they can create an RDS Custom for SQL Server database in their existing networking infrastructure. They want to ensure that the database servers are created within the security perimeter designed by their networking teams. They also want to understand different components and services involved when creating an RDS Custom for SQL Server instance. In this post, we demonstrate how to create an RDS Custom for SQL Server instance. We also show how to create the required prerequisites within an existing networking infrastructure. Amazon RDS Custom requires these prerequisites to create the necessary resources in your AWS account.
If you’re using Amazon DynamoDB tables with provisioned capacity, one challenge you might face is how best to handle a sudden request traffic increase (spike) without being throttled. The more sudden and extended the traffic spike, the more likely a table will experience throttles. However, throttles aren’t inevitable even for spiky traffic. Here we walk you through eight designs to handle traffic spikes, and present their advantages and disadvantages.
Migrate logins, database roles, users and object-level permissions to Amazon RDS for SQL Server using T-SQL
In this post, we explain how to migrate the logins, database roles, users, and object-level permissions from on-prem or Amazon Elastic Compute Cloud (Amazon EC2) for SQL Server to Amazon Relational Database Service (Amazon RDS) for SQL Server using the T-SQL.
Amazon Relational Database Service (Amazon RDS) for SQL Server now supports X2iedn powered by third-generation Intel Xeon Scalable processors built on the AWS Nitro System and featuring the third-generation Intel Xeon Scalable (Ice Lake) processors. SQL Server workloads are highly dependent on memory. As a result, memory-optimized Amazon Elastic Compute Cloud (Amazon EC2) instances are most commonly used by customers.