Our team incorporates SRE principles by focusing on defining clear reliability goals through SLOs (Service Level Objectives) and SLIs (Service Level Indicators) that reflect user expectations, like latency and uptime. We ensure that our systems are designed to be highly available and resilient, applying automation wherever possible—especially in areas like incident response, capacity management, and self-healing systems. We use monitoring tools like Prometheus and alerting mechanisms to proactively identify issues and leverage automated remediation workflows to reduce downtime. The biggest challenge we’ve faced is balancing the trade-off between new feature delivery and system stability, especially with tight error budgets. Additionally, creating a culture where engineers prioritize reliability as much as new development has required continuous training and a shift in mindset across teams. Despite these challenges, SRE practices have helped us improve uptime, quickly respond to incidents, and focus on improving overall system health and performance.