AWS Database Blog

Category: Database

How the AWS Schema Conversion Tool Drove Trimble’s Database Migration Successes

By Todd Hofert, Director of Infrastructure Operations—FSM at Trimble Inc. The situation Recently, the Infrastructure Operations Group for Trimble’s Field Service Management division embarked on an aggressive initiative to migrate their privately hosted SaaS offerings to Amazon Web Services (AWS). The division faced the need for a hardware refresh, continuing cost reduction pressures, and a […]

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A Case Study of Tuning Autovacuum in Amazon RDS for PostgreSQL

In a PostgreSQL database, the autovacuum process performs multiple critical maintenance operations. In addition to freezing the transaction ID to prevent it from wraparound, autovacuum also removes dead tuples to recover space usage. For databases with a high volume of write operations, it is recommended that you tune autovacuum to run frequently. Doing this helps […]

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Introducing log management in AWS Database Migration Service

AWS Database Migration Service (AWS DMS) helps you migrate databases to AWS quickly and securely. You can migrate your data to and from most widely used commercial and open-source databases, such as Oracle, Microsoft SQL Server, and PostgreSQL. The service supports homogeneous migrations such as Oracle to Oracle, and also heterogeneous migrations between different database […]

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Database Migration

Introducing Ongoing Replication from Amazon RDS for SQL Server Using AWS Database Migration Service

We are excited to announce a new feature in AWS Database Migration Service (AWS DMS) and Amazon RDS for SQL Server that supports ongoing replication from Amazon RDS for SQL Server sources. AWS DMS helps you migrate databases to AWS quickly and more securely. It also helps you migrate data within AWS. You can migrate […]

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Challenges When Migrating from Oracle to PostgreSQL—and How to Overcome Them

David Rader is the vice president of engineering at OpenSCG. OpenSCG is an AWS Consulting Partner and a leading expert in PostgreSQL, helping customers migrate to, operate, and optimize PostgreSQL and other data platforms on premises and in the cloud. In previous posts, we looked at the overall approach for a successful database migration and […]

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How to Migrate from MySQL to Amazon Aurora using AWS SCT and AWS DMS

MySQL is a great open-source database engine, which a lot of companies use because it’s cost-effective. However, like any other open-source database, it takes a lot of work to get commercial-grade performance out of it. As the size of your database increases, the complexity of scaling and crash recovery in MySQL also increases. Scaling out […]

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Get Started with Amazon Elasticsearch Service: Use Dedicated Master Instances to Improve Cluster Stability

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. What dedicated master instances are and why you need them Dedicated master instances perform a single function in an Elasticsearch cluster: orchestration. […]

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A serverless solution to schedule your Amazon DynamoDB On-Demand Backup

We recently released On-Demand Backup for Amazon DynamoDB. Using On-Demand Backup, you can create full backups of your DynamoDB tables, helping you meet your corporate and governmental regulatory requirements for data archiving. Now you can back up any table from a few megabytes to hundreds of terabytes of data in size, with the same performance […]

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Amazon Aurora under the hood: indexing geospatial data using Z-order curves

When designing high-performance database systems like Amazon Aurora, you typically want to work on things that deliver the most impact for the broadest set of workloads. But sometimes, it pays to focus on specialized use cases where you have the opportunity to change the game. In this post, let’s take a look at how Aurora […]

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Creating highly available IBM Db2 databases in AWS

Many AWS customers run mission-critical workloads using the IBM Db2 database platform. Typically, these workloads require a highly available configuration to make sure that the database is available in the event of a node or site failure. The traditional IBM method to achieve high availability is to use shared storage and virtual IP addresses, which […]

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