What methods can be used to determine the stability and quality of production code after its deployment?

To assess the stability and quality of production code after deployment, the following methods can be used:

• Monitoring and logging: collecting metrics (CPU, memory, response time), logging errors and warnings.
• Alerting systems: setting up notifications when error thresholds are exceeded or performance drops.
• Automated tests in production: canary releases, A/B testing, health checks.
• Analysis of user metrics: tracking failure rates, load times, user experience.
• Code Quality Tools: static analysis and profiling to identify bottlenecks.

For example, in Go, you can integrate Prometheus for metrics collection and Grafana for visualizing the service status.