What difficulties or challenges have you faced when working with Kubernetes?

When working with Kubernetes, the following challenges often arise:

• Configuration and secret management: storing and updating configurations, especially secret data, requires careful handling.

• Monitoring and logging: setting up effective monitoring and log collection for quick problem detection can be complex.

• Updates and migrations: without a proper strategy for updating clusters and applications, downtime or errors may occur.

• Network issues: understanding and configuring network policies, services, and ingress controllers require deep knowledge.

• Resource planning: proper allocation of resources (CPU, memory) for pods to avoid overloads or idle states.

• Debugging and diagnostics: identifying causes of failures in a distributed system often requires a comprehensive approach.

Experience shows that a systematic approach to automation, using monitoring tools, and careful planning help address these challenges.