Provision inbox cohorts for concurrent workers
Create inbox pools by worker, shard, tenant, or scenario so large runs stay isolated and measurable.
Test message delivery under load with real inboxes
Use MailSlurp email load testing to prove signup, reset, and notification flows still deliver when traffic spikes instead of assuming queue throughput equals customer receipt.
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Load-testing capabilities
Measure whether message workflows still hold up at scale
MailSlurp adds real inbox evidence to performance runs so teams can see delivery behavior under concurrency, queue pressure, and notification bursts.
Explore
Wait for matching receipt during stress runs
Use wait APIs inside load harnesses to prove the message arrived, not just that an enqueue call returned successfully.
Inspect timing, content, and routing under volume
Capture delivered messages, links, codes, and metadata to see where high-load paths start to drift.
Store run artifacts and timing comparisons
Keep inbox-backed receipt data, message payloads, and timing deltas for migrations, traffic increases, and high-risk release reviews.
Wait for real messages during load runs
Assert actual inbox delivery instead of stopping at API response or queue metrics when release risk is high.
Provision inbox cohorts per run, worker, or tenant
Create isolated inbox groups for load scenarios so high-concurrency runs do not collapse into shared-state noise.
Use load evidence in launch decisions
Give engineering and lifecycle teams real delivery evidence before launches, migrations, or send-volume changes.
Developer integration
Create inbox cohorts and assert receipt under load
Provision inbox pools per worker or scenario, then measure real message arrival when traffic spikes instead of trusting queue throughput alone.
- Create isolated inbox groups for concurrent workers and test shards
- Wait for matching messages inside load harnesses and scripted checks
- Use delivered-message evidence before launches or volume changes
Next step
Start with signup or docs
Use the free account to validate the workflow in your own stack, then move into implementation details in the docs.