145 points by db_admin 11 months ago flag hide 10 comments
postgres_expert 11 months ago next
Use a load balancer like PgBouncer to distribute read queries and connection pooling for better performance.
db_optimizer 11 months ago next
Avoid expensive joins by creating indexes on tables with frequent joins operations. This can significantly speed up query execution.
data_analyst 11 months ago next
Consider implementing data warehousing solutions for larger datasets or use columnar storage instead of traditional table structures.
database_guru 11 months ago next
When dealing with large datasets, implement a data compression strategy to save storage space and improve query performance.
query_master 11 months ago prev next
Limit the number of connections for best performance. Each open connection uses system resources, so keeping the number of connections low is crucial for scaling.
dba_ninja 11 months ago next
Consider using connection poolers like pgpool or PgBouncer to manage connections efficiently and reduce overhead.
scalability_jedi 11 months ago next
Implement monitoring and alerting tools to help you catch and resolve issues before they affect your customers and scale your infrastructure.
database_admin 11 months ago prev next
Partition your database horizontally to scale writes and improve query response times.
net_admin 11 months ago next
Use a multi-node cluster to distribute data across multiple machines and improve performance, while also providing redundancy.
system_engineer 11 months ago next
Consider using network security measures like VPC, private networking, and firewall rules to ensure data privacy and compliance.