AWS Database Blog

Introducing configurable maximum throughput for Amazon DynamoDB on-demand

Amazon DynamoDB is a serverless, NoSQL database service that enables you to develop modern applications at any scale. DynamoDB on-demand mode offers a truly serverless experience that can serve millions of requests per second without capacity planning, and automatic scale down to zero when no requests are being issued against the table. With on-demand mode’s […]

Tune replication performance with AWS DMS for an Amazon Kinesis Data Streams target endpoint – Part 3

In Part 1 of this series, we discussed the high-level architecture of multi-threaded full load and change data capture (CDC) settings to tune related parameters for better performance to replicate data to an Amazon Kinesis Data Streams target using AWS Database Migration Service (AWS DMS). In Part 2, we provided some examples of how we […]

Tune replication performance with AWS DMS for an Amazon Kinesis Data Streams target endpoint – Part 2

In Part 1 of this series, we discussed the architecture of multi-threaded full load and change data capture (CDC) settings, and considerations and best practices for configuring various parameters when replicating data using AWS Database Migration Service (AWS DMS) from a relational database system to Amazon Kinesis Data Streams. In this post, we demonstrate the […]

Tune replication performance with AWS DMS for an Amazon Kinesis Data Streams target endpoint – Part 1

AWS Database Migration Service (AWS DMS) makes it possible to replicate to Amazon Kinesis Data Streams from relational databases, data warehouses, NoSQL databases, and other types of data stores. You can use Kinesis data streams to collect and process large streams of data records in real time. Replicating data changes to a Kinesis data stream […]

Scale your relational database for SaaS, Part 2: Sharding and routing

This post is a continuation of our series on scaling your relational database for software as a service (SaaS). SaaS providers commonly use relational databases, such as Amazon Relational Database Service (Amazon RDS) and Amazon Aurora, in their solutions. In Part 1, we looked at some common ways to scale or optimize your relational database […]

Scale your relational database for SaaS, Part 1: Common scaling patterns

One of the challenges that software as a service (SaaS) providers face as their business grows is how to maintain their tenants’ experience. This includes ensuring acceptable performance and response times as the tenant base grows. Relational databases, such as Amazon Relational Database Service (Amazon RDS) and Amazon Aurora, are commonly used by SaaS providers. […]

Perform a side-by-side upgrade in AWS DMS by moving tasks to minimize business impact

You can use AWS Database Migration Service (AWS DMS) for many use cases, such as migrating from legacy or on-premises databases to managed cloud services, replicating ongoing data changes from online transaction processing (OLTP) databases such as Amazon Relational Database Service (Amazon RDS) to an online analytical processing (OLAP) data warehouse such as Amazon Redshift, […]

Improve query performance using partial indexes in Amazon DocumentDB

Amazon DocumentDB (with MongoDB compatibility) is a fully managed native JSON document database that makes it easy and cost effective to operate critical document workloads at virtually any scale without managing infrastructure. Amazon DocumentDB simplifies your architecture by providing built-in security best practices, continuous backups, and native integrations with other AWS services. You can enhance […]

Blockchain node deployment on AWS: A comprehensive guide

In the evolving landscape of blockchain technology, understanding the intricacies of node deployment on AWS is paramount in order to be able to interact with the blockchain. In this post, we provide a comprehensive overview of the role nodes serve in blockchain networks, cover the spectrum of available node types, discuss use cases, and present […]

Monitor Amazon RDS for Oracle instances using Oracle Enterprise Manager

Amazon Relational Database Service (Amazon RDS) for Oracle is a fully managed commercial database that makes it straightforward to set up, operate, and scale Oracle database deployments in the AWS Cloud. Amazon RDS automation manages time-consuming, repetitive administration tasks like provisioning, backups, software patching, monitoring, and compute scaling, allowing you to focus on tasks and […]