In our team, we define and measure reliability in our production systems by setting clear Service Level Objectives (SLOs) for key metrics such as availability, latency, error rates, and system performance. These SLOs are tailored to the critical services we provide, with availability often being one of the top priorities, ensuring that services are accessible and functioning as expected. Latency and error rates are continuously monitored to ensure that users experience consistent performance, while system performance is assessed through metrics like response time and resource utilization. We use tools like Prometheus and Grafana for real-time monitoring and alerting, which helps us quickly detect issues and take corrective actions. Additionally, we implement error budgets to balance the risk between releasing new features and maintaining stability, ensuring that we prioritize system reliability without hindering innovation. By defining these metrics and using automated monitoring and incident response, we can proactively manage and maintain the reliability of our production systems.