How did you control connections to TimescaleDB and Postgres simultaneously to avoid crashing the database?

Several approaches are used to control connections to TimescaleDB and Postgres simultaneously and prevent database overload:

1. Configuring the maximum number of connections in PostgreSQL: The max_connections parameter in the postgresql.conf configuration file limits the total number of concurrent connections.

2. Using connection poolers (e.g., PgBouncer): Poolers efficiently manage connections, reuse them, and limit the number of active connections to the database.

3. Load distribution: If TimescaleDB is used as a PostgreSQL extension, all connections go to a single server, but different pools can be configured for different query types (e.g., analytics vs transactions).

4. Monitoring and alerting: Set up monitoring of active connection counts and delays to respond promptly to load growth.

5. Application-level restrictions: The application can limit the number of parallel queries to the database, for example, through semaphores or queues.

Example of PgBouncer configuration to limit connections:

[databases]
mydb = host=127.0.0.1 port=5432 dbname=mydb

[pgbouncer]
max_client_conn = 100
default_pool_size = 20

Thus, by combining poolers, database configuration, and application-level control, you can effectively manage connections and prevent database crashes due to their excess.