Kubernetes Automation Workflows
This page contains automation workflows built using
Kubernetes.
Total expected time saved across workflows:
24 hours per week.
Kubernetes is a container orchestration tool that manages deployment, scaling, and operations of containerized applications. It focuses on automating the provisioning and management of container clusters, ensuring high availability and resource efficiency. Typical automation use cases include container deployment, load balancing, and resource scaling. The skill level distribution for Kubernetes users varies from intermediate to advanced, reflecting its complexity and extensive feature set. Despite its capabilities, there are no quantifiable metrics indicating time savings or workflow counts, suggesting that its primary value lies in operational consistency and scalability rather than immediate efficiency gains. Kubernetes is suited for teams with a solid understanding of containerization and orchestration concepts, aiming to streamline complex application management tasks in distributed environments.
Available Workflows
- Puppet: Kubernetes Node Configuration - 7 hours/week saved - Advanced
- Ansible: Automated Kubernetes Worker Setup - 7 hours/week saved - Advanced
- Prometheus: Kubernetes Cluster Monitoring - 6 hours/week saved - Advanced
- Prometheus: Nginx Ingress Controller Monitoring - 4 hours/week saved - Advanced