Guide · Reliability
Why Small SaaS Apps Crash in Production
Small SaaS apps crash for common reasons. Connection pools, memory limits, no monitoring. Here's why and how to fix it.
Unhandled failure modes fail Reliability & Continuity—timeouts, deps, and degrade paths matter. Primary control: Reliability & Continuity
Dev works; prod dies on connections and silence
Small SaaS crashes usually aren't mysterious—connection pools exhaust, memory OOMs, unhandled exceptions, or nobody is watching. One app had 10 Lambdas × 10 connections against a 100-connection DB ceiling; under load it flatlined. Pooling and hard limits fixed it; monitoring would have shortened the outage.
Stabilize the usual suspects
Use RDS Proxy or PgBouncer—don't open a connection per request. Right-size Lambda memory and watch OOM. Catch, log, and return errors instead of process death. Uptime + error (Sentry) + resource dashboards so users aren't your pager. Load-test the path that matters before launch day.
Reliability is detection plus capacity
APRF Reliability and Observability expect you to survive normal prod failure modes and notice them. Pair with the traffic-spike guide when the crash is load-shaped.
Next: Reliability & Continuity
Open the related pillar specification for mandatory checks, artifacts, and pass conditions. Self-attest is optional.
Related
Frequently asked questions
- Why do small SaaS apps crash in production?
- Common causes: database connection exhaustion, memory limits, unhandled errors, or no monitoring. Connection pooling, limits, and monitoring help prevent crashes.
- How do I prevent my SaaS from crashing?
- Set up connection pooling, configure memory limits, add error handling, and monitoring. Load test before launch. Set up alerts for errors and resource usage.
- What is database connection exhaustion?
- When your app opens too many database connections, the pool exhausts. New requests fail. Use connection pooling (RDS Proxy, PgBouncer) and set limits.