Posts written by Ash Hornbeck
In recent years, Data Lakes have moved from the technology boondocks to the prime beachfront real estate of the data sciences. Why is this happening, and why are they important? The short answer ... there's value in there.
If you've ever used Aurora Read Replicas, you may have noticed that there are several different endpoints available. The Cluster Endpoint, the Reader Endpoint, and Instance Endpoints... with all of these options, how do you know which one to use and when? As with any non-trivial system, the answer is... it depends. In this blogpost, we'll look at the different endpoints, use-cases for them, and the trade-offs that come with those design decisions.
If you are reading this, you have probably heard of Amazon Aurora. As you know, Amazon Aurora is a PaaS service provided by AWS as part of the RDS suite of services. It provides a fully managed relational database management system (RDBMS) that comes in two flavors, MySQL and Postgres, while maintaining wire compatibility with both. But, how does this impact your high availability strategies and options?