AWS Database Blog
Author: Randy DeFauw
I’m an electrical engineer by training who’s been working in technology for 23 years at companies ranging from start-ups to large defense firms. A fascination with distributed consensus systems led me into the Big Data space, where I discovered a passion for analytics and machine learning. I started using AWS in my Hadoop days, where I saw how easy it was to set up large complex infrastructure, and then realized that the cloud solved some of the challenges I saw with Hadoop. I picked up an MBA so I could learn how business leaders think and talk, and found that the ‘soft skill’ classes were some of the most interesting ones I took. Lately I’ve been dabbling with reinforcement learning as a way to tackle optimization problems, and re-reading Martin Kleppmann’s book on data intensive design.
Build resilient applications with Amazon DynamoDB global tables: Part 4
In the first three posts of this four-part series, you learned how the choice of zonal or Regional services impacts availability, and some important characteristics of Amazon DynamoDB when used in a multi-Region context with global tables. Part 1 also covered the motivation for using multiple Regions. Part 2 discussed some important characteristics of DynamoDB. […]
Build resilient applications with Amazon DynamoDB global tables: Part 3
In the first two posts of this four-part series, you learned how the choice of zonal or Regional services impacts availability and some important characteristics of Amazon DynamoDB when used in a multi-Region context with global tables. Part 1 also covered the motivation for using multiple AWS Regions. Part 2 discussed some important characteristics of […]
Build resilient applications with Amazon DynamoDB global tables: Part 2
In the first post of this series, you learned about the differences between zonal, Regional, and global services, and how they affect theoretical application availability. In this post, you’ll learn more about some important Amazon DynamoDB characteristics and how they impact multi-Region design. Properties of DynamoDB tables in a single Region DynamoDB is a NoSQL […]
Build resilient applications with Amazon DynamoDB global tables: Part 1
Customers that need to build resilient applications with the lowest possible recovery time objective (RTO) and recovery point objective (RPO) want to make the best use of AWS global infrastructure to support their resilience goals. Building an application using multiple Availability Zones in a single AWS Region can provide high levels of availability, but you […]
Amazon DocumentDB (with MongoDB compatibility) read autoscaling
Amazon Document DB (with MongoDB compatibility) is a fast, scalable, highly available, and fully managed document database service that supports MongoDB workloads. Its architecture supports up to 15 read replicas, so applications that connect as a replica set can use driver read preference settings to direct reads to replicas for horizontal read scaling. Moreover, as […]
How to set up a single pgpool endpoint for reads and writes with Amazon Aurora PostgreSQL
Amazon Aurora provides endpoints for the primary DB instance (the cluster endpoint) and for Read Replicas (the reader endpoint). Aurora updates the cluster endpoint automatically so that it always points to the primary instance. The reader endpoint load balances read operations across all available Read Replicas. Amazon Aurora Replicas typically have less than 100 ms […]