Describe your experience working with the Kubernetes platform and what tasks you solved with its help.

My experience with Kubernetes includes deploying and managing containerized applications, automating scaling, and ensuring high availability of services.

Key tasks I have addressed with Kubernetes:

• Container orchestration: Automatic deployment, updating, and lifecycle management of applications.
• Scaling: Configuring horizontal autoscaling based on load.
• Configuration and secret management: Using ConfigMaps and Secrets for secure storage of settings.
• Monitoring and logging: Integration with Prometheus and Grafana for cluster and application health tracking.
• Ensuring fault tolerance: Setting up ReplicaSets and update strategies without downtime.

Example of using Python to interact with the Kubernetes API:

from kubernetes import client, config

config.load_kube_config()
v1 = client.CoreV1Api()

# Get list of pods in the default namespace
pods = v1.list_namespaced_pod(namespace="default")
for pod in pods.items:
    print(pod.metadata.name)

Thus, Kubernetes enables efficient management of complex distributed applications in production.