Dear PostgreSQL Community,
We are implementing a new feature in our application that is expected to
generate a significant amount of data, and we are seeking your expert
guidance on how to best handle this growth within our existing PostgreSQL
setup.
Currently, our PostgreSQL instance runs on a
; As for memory climbing to 90%, you might want to reduce shared buffers to
> something less than 1/3 of your RAM and see if it helps.
> But again, if there’s no issues with system availability and health then
> you should not be bothered imo
>
> > 6 апр. 2025 г., в 14:37, Motog
Hi All,
I’m running PostgreSQL on an EC2 c5.4xlarge Ubuntu instance with the
following specs:
32 GB RAM
1.2 TB disk
16 vCPUs
Pgpool-II Configuration:
max_pool = 2
num_init_children = 1000
client_idle_limit = 300 seconds
connection_life_time = 300 seconds
load_balance_mode = on
PostgreS
Hi Team,
Hope you are doing well!
We are doing performance testing of our applications. During testing our
postgres db got crashed with the error checkpointer was killed by signal 9.
When checked system logs we found it was OOM issue.
We have postgreSQL on independent node with 32GB RAM, multiple