Kubernetes, celebrating its tenth anniversary, remains a complex yet essential platform for modern software development, with numerous risks associated with its adoption that require careful management for reliability. The text outlines four key strategies to enhance reliability during Kubernetes adoption, emphasizing that reliability should be treated as an ongoing practice. It highlights the importance of understanding Kubernetes design to mitigate risks, proactively finding failure modes to improve system resilience, and learning from incidents to strengthen deployments. The document stresses that reliability is not a one-time achievement but requires continuous experimentation and risk detection, with tools like Gremlin providing automated reliability tests to identify and address availability risks before they affect users.