| Sure. - No way to upgrade major postgres version without full export and import into new cluster. - Incredible delay between postgres versions. IIRC, it took nearly 2 years for them to add postgres 11 after it was released. - HA is basically useless. Costs double, still has 4-5 minute window of downtime as it fails over, doesn't avoid maintenance window downtime (both primary/standby have same maintenance window) and you can't use it as a read replica. Honestly, feels like a borderline scam since I'd imagine a new instance could be spun up in the same amount of time a failover takes (but I haven't tested) - With default settings, we experience overly aggressive OOM-killer related crashes on a ~monthly basis during periods of high utilization. On a 32GB instance, OOM killer seems to kick in around 27-28GB and it's incredibly annoying. - Markup over raw instances is almost 100%, with no sustained use discount outside of a yearly commit. It's just a lot of money to pay for a crashy, outdated version of Postgres. |
To be fair, it looks like GCP supported Postgres 13 (Nov 5, 2020) before AWS did (Nov 27, 2020) and AWS currently marks Postgres 13 as a preview. Maybe GCP had a large initial engineer-cost to support multiple versions of Postgres and now the incremental cost to add new versions is small?
> It's just a lot of money to pay for a crashy, outdated version of Postgres.
Have you looked at other options? I'm evaluating GCP SQL and the comments in this thread are scary. Seems like Aiven might be a good way to go. I've also briefly looked at CrunchyData's Postgres Operator [1] for Kubernetes but it's a lot of complexity I don't really want.
[1]: https://github.com/CrunchyData/postgres-operator