Software development and delivery require cross-team collaboration and orchestration while ensuring organizational standards for quality, security, and compliance are consistently met. To monitor this aspect, organizations track and evaluate DevOps Research and Assessment (DORA) metrics, which provide a holistic view into the software development life cycle. However, collecting these metrics presents challenges, such as deciding which data points to collect and how to collect them, and translating findings into actionable insights. DORA metrics bridge the gap between production system-based metrics and development-based ones, providing quantitative measurements that complement qualitative insights. By understanding DORA metrics, organizations can improve their delivery workflows, streamline software delivery, and make informed decisions about automation, testing, and incident response. Tools like Datadog can help optimize developer workflows by monitoring DORA metrics, identifying inefficiencies, and providing features to improve CI/CD pipelines, test quality, and time to restore services.