In real projects, Kubernetes is often used to run microservices, APIs, and background workers across staging and production, usually with Helm or Kustomize to manage repeatable deployments and environment-specific configs. Teams rely on Kubernetes for rolling updates, horizontal pod autoscaling, and resilient workloads behind Ingress or service meshes for traffic control and observability. The main challenges usually appear early: designing the cluster network and Ingress correctly, setting RBAC and namespaces for secure multi-team access, sizing resource requests/limits to avoid overcommit or throttling, and handling persistent storage for stateful services. Many also struggle with the complexity of YAML, secret management, and integrating monitoring/logging stacks. Over time, standardizing deployment templates, automating cluster provisioning (IaC), and investing in dashboards and alerts typically help stabilize operations and make Kubernetes much easier to run reliably.