Manage Database Connections in Serverless Applications

A practical approach

Step 1

Estimate concurrent requests and how many connections each execution path can create. Include background jobs and retries.

Step 2

Choose a supported connection approach and configure limits deliberately. Reuse clients where the runtime permits it without assuming process lifetime guarantees.

Step 3

Observe connection counts, wait time and database saturation under load. Test dependency failure so reconnection attempts do not amplify the outage.

Worked example

A small enrollment API opens a new database connection for every request. During a registration burst, connection setup consumes capacity before useful queries run. A compatible pooled or proxied approach can reduce pressure, but its limits and failure behaviour still need testing.

A mistake to avoid

Increasing database connection limits is not always the right fix. Each connection consumes resources, and excessive parallel queries may worsen latency for everyone.

Try it yourself

Measure peak connection count for a realistic concurrent test. Compare it with the database’s configured limit and document what happens when capacity is exhausted.

Your implementation checklist

• The runtime supports the chosen connection method.
• Concurrency estimates include background work.
• Connection limits are explicit.
• Failure does not trigger unbounded reconnection.