What do you check after a .NET release is deployed to production?

Post-deployment verification for a .NET release

Explains how to verify a .NET release after deployment using smoke tests, metrics, logs, and business signals.

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After deployment, I check health endpoints, error rate, latency, logs, and the critical user flows affected by the release. I also check whether the expected version is running and whether any feature flags are in the intended state. For a backend API, I would verify dependency connectivity and basic request paths. The goal is to confirm the release is healthy before moving on.

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Post-deployment validation, health checks, metrics, logs, business KPIs, and release confidence.

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Post-deployment verification closes the loop between releasing software and knowing it works for users.
After deployment, I check health endpoints, error rate, latency, logs, and the critical user flows affected by the release. I also check whether the expected version is running and whether any feature flags are in the intended state. For a backend API, I would verify dependency connectivity and basic request paths. The goal is to confirm the release is healthy before moving on.
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For example, after a release touching order creation, I would check successful order creation count, API errors, database errors, dependency timeouts, and support-impacting logs. The trade-off is that a short smoke check catches obvious issues, while metrics over the next minutes or hours reveal traffic-dependent problems. I would define both immediate and delayed verification.

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Details

Deploying and immediately leaving without checking signals.
Using the same verification for every release.
Checking only process health.
Not knowing who watches the release window.

What do you check after a .NET release is deployed to production?

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