AWS Database Blog
Get Started with Amazon Elasticsearch Service: How Many Shards Do I Need?
September 8, 2021: Amazon Elasticsearch Service has been renamed to Amazon OpenSearch Service. See details. Welcome to this introductory series on Elasticsearch and Amazon Elasticsearch Service (Amazon ES). In this and future articles, we provide the basic information that you need to get started with Elasticsearch on AWS. How many shards? Elasticsearch can take in […]
Reduce Resource Consumption by Consolidating Your Sharded System into Aurora
Ed Murray is a manager at Amazon Web Services. When faced with the prospect of scaling your relational workload, you have generally had two options available: scale up or scale out. Scaling up is easy—just buy a bigger database host. Scaling out is more difficult. It requires you to shard your database into several physically […]
Set Access Control for Amazon Elasticsearch Service
September 8, 2021: Amazon Elasticsearch Service has been renamed to Amazon OpenSearch Service. See details. Securing your Amazon Elasticsearch Service (Amazon ES) domain helps ensure your data cannot be accessed or altered by unauthorized users. Most customers want the security of IP address- or identity-based access policies, but choose open access out of convenience. Because […]
Choosing the Right DynamoDB Partition Key
September 2022: This post was reviewed and updated for accuracy. This blog post covers important considerations and strategies for choosing the right partition key for designing a schema that uses Amazon DynamoDB. Choosing the right partition key is an important step in the design and building of scalable and reliable applications on top of DynamoDB. […]
How to Migrate Your Oracle Database to Amazon Aurora
Ed Murray is a manager at Amazon Web Services. This blog post gives you a quick overview of how you can use the AWS Schema Conversion Tool (AWS SCT) and AWS Database Migration Service (AWS DMS) to facilitate and simplify migrating your commercial database to Amazon Aurora. In this case, we focus on migrating from […]
Performing Parallel Queries and Phrase Searching with Amazon RDS for PostgreSQL 9.6.1
Jeff Levine is a solutions architect for Amazon Web Services. As a solutions architect for Amazon Web Services, one of my responsibilities is to help our customers to learn about new features and capabilities of our services. Amazon RDS makes it possible to set up, operate, and scale relational databases in the cloud without having […]
Streaming Changes in a Database with Amazon Kinesis
Emmanuel Espina is a software development engineer at Amazon Web Services. In this blog post, I will discuss how to integrate a central relational database with other systems by streaming its modifications through Amazon Kinesis. The following diagram shows a common architectural design in distributed systems. It includes a central storage referred to as a […]
Get Started with Amazon Elasticsearch Service: How Many Data Instances Do I Need?
September 8, 2021: Amazon Elasticsearch Service has been renamed to Amazon OpenSearch Service. See details. Welcome to the first in a series of blog posts about Elasticsearch and Amazon Elasticsearch Service, where we will provide the information you need to get started with Elasticsearch on AWS. How many instances will you need? When you create […]
Introducing Cost Allocation Tags for Amazon DynamoDB
Nitin Sagar is a senior product manager for DynamoDB. You can now add tags to your Amazon DynamoDB tables. Tags are simple, user-customizable key and value pairs that are supported by many AWS services. Tagging for DynamoDB provides fine-grained visibility into your DynamoDB bill. You can assign tags to your tables and see cost breakouts […]
Introducing AWS Schema Conversion Tool Version 1.0.502
We are pleased to announce the recent release of version 1.0.502 of the AWS Schema Conversion Tool (AWS SCT). Two key capabilities included with this release are the use of Amazon Aurora with PostgreSQL compatibility as a target and integration with AWS Database Migration Service (AWS DMS). Amazon Aurora with PostgreSQL compatibility as a target […]