AWS Database Blog

WordPress powers 30 percent of all websites. It is the content management system that we’ve built our business on at Pagely. Our managed WordPress hosting runs entirely on Amazon Web Services. In the same way that Amazon has freed customers from the worries of managing physical hardware and data centers, Pagely enables clients to stop worrying about managing WordPress and instead focus on their mission. Pagely’s dedicated support and experience with successfully running WordPress at scale pairs nicely with Amazon’s technology offerings.

Amazon DocumentDB (with MongoDB compatibility) is a fast, scalable, highly available, and fully managed document database service that supports MongoDB workloads. The Amazon DocumentDB Migration Guide outlines three primary approaches for migrating from MongoDB to Amazon DocumentDB: offline, online, and hybrid. The offline migration approach is the fastest and simplest of the three, but it […]

Amazon RDS (Relational Database Service) is a managed service that makes it easier to set up, operate, and scale a relational database. Based on AWS high performance compute and storage, Amazon RDS supports the MySQL, SQL Server, PostgreSQL, MariaDB, and Oracle database engines. It offers a complete set of solutions for provisioning, patching, monitoring, and […]

After migrating or launching your new Amazon Aurora MySQL instance in the AWS Cloud, have you asked yourself one or more of the following questions? “What are the next steps? How can I make it run optimally?” “Is it recommended to modify any existing parameters?” “What parameters should I modify?” If so, I hope that […]

Advertising technology (ad tech) companies use Amazon DynamoDB to store various kinds of marketing data, such as user profiles, user events, clicks, and visited links. Some of the uses include real-time bidding (RTB), ad targeting, and attribution. In this blog post, I identify the most common use cases and design patterns of ad tech companies […]

Amazon DocumentDB (with MongoDB compatibility) is a fast, scalable, highly available, and fully managed document database service that supports MongoDB workloads. You can use the same MongoDB application code, drivers, and tools as you do today to run, manage, and scale workloads on Amazon DocumentDB. This way, you can enjoy improved performance, scalability, and availability, […]

In the first post of the series, I described some generic security concepts and corresponding AWS security controls that can be applied to data stores on AWS. Using these, you can create a stronger security posture around your data. In this second post, I demonstrate how these concepts can be implemented to Amazon RDS databases. […]

In the previous post in this series, you learned how to build a Hyperledger Fabric network using Amazon Managed Blockchain. After creating the network, you deployed a three-tier application that consisted of Fabric chaincode, a RESTful API, and a user interface application. The network you created was a single-member network, suitable for experimenting and learning […]

Gaming companies use Amazon DynamoDB in all parts of game platforms, including game state, player data, session history, and leaderboards. The main benefits that these companies get from DynamoDB are its ability to scale reliably to millions of concurrent users and requests while ensuring consistently low latency—measured in single-digit milliseconds. In addition, as a fully […]

If you have software or systems that support Japanese customers, and if your software or systems need to display a Japan era name, you may need to make changes to display the new name. The new Japan era name comes into effect on May 1, 2019, when the current Japanese Emperor abdicates. In this blog […]