![]() Speaking of pages it’s worth quoting the FAQ: “ Unlike traditional database engines Amazon Aurora never pushes modified database pages to the storage layer, resulting in further IO consumption savings.” This is made possible because Amazon changed the way the page cache is managed, allowing it to remain in memory in case of database failure. ![]() Performance is also linked to the instance type, for example the maximum number of connections is by default configured based on the instance size.Īlso important when it comes to compatibility is the page size that has been kept at 8KiB which is the PostgreSQL default page size. As a result, the Wireshark PostgreSQL Dissector will work just fine. the AWS PostgreSQL flavor is wire-compatible with PostgreSQL 9.6. Most (my emphasis) of the applications will be fine, e.g. The same FAQ page makes it clear that Amazon doesn’t claim 100% PostgreSQL compatibility. In term of pricing, it must be noted that Aurora PostgreSQL is not available in the AWS Free Tier. For example, we learn that the storage layer is virtualized and sits on a proprietary virtualized storage system backed up by SSD. ![]() The Amazon Aurora FAQ page provides important details that need to be considered before diving into the product. ![]() The currently available options are highlighted below: Aurora PostgreSQL As always, there isn’t a one size fits all solution. Managed database services offer certain advantages that are appealing to the customer seeking independence from infrastructure maintenance, and highly available configurations. AWS PostgreSQL services fall under the RDS umbrella, which is Amazon’s DaaS offering for all known database engines. ![]()
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |