The text explores several anti-patterns in using Kubernetes, emphasizing the importance of proper practices to avoid common pitfalls. It highlights that using "kubectl" as a debugging tool is ineffective, advocating for robust monitoring and observability systems instead. Misunderstanding Kubernetes networking concepts is another issue, with the text encouraging familiarity with network elements like load balancers, ClusterIPs, NodePorts, and ingress to optimize application traffic flow. Permanent staging environments are discouraged due to cost and feature isolation issues, suggesting dynamic environments as a more efficient alternative for testing. Mixing production and non-production clusters can lead to resource starvation and security risks, hence separate clusters are recommended. Finally, deploying applications without setting memory and CPU limits can disrupt cluster operations, underscoring the need for resource management to ensure efficient and stable application performance.