Skills › DevOps & Cloud

Kubernetes

Deploy and manage containerised workloads with Kubernetes.

intermediate ☁️ DevOps & Cloud
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After this skill you can…

  • Deploy a multi-container app on a k8s cluster
  • Write Deployments, Services, and Ingress manifests
  • Use Helm to manage chart releases

Prerequisites

Watch (10 videos)

Run mission-critical applications on Kubernetes | DevOps Tool of the Month (3)
TechWorld with Nana · beginner hands-on
→ Deploy applications on Kubernetes→ Manage cloud native applications
KubeFleet: Multi-Cluster Kubernetes Application Management
Microsoft Developer · intermediate hands-on
→ Streamline multi-cluster application management with KubeFleet→ Deploy applications across multiple Kubernetes clusters
Batch architecture in Kubernetes
Google Cloud Tech · advanced hands-on
→ Deploy batch architecture on Kubernetes→ Orchestrate AI workloads on Kubernetes
Troubleshooting: Node Not Ready Status
Google Cloud Tech · beginner hands-on
→ Troubleshoot GKE Node issues→ Resolve NotReady Status on GKE
Build a Modern, Reliable 5G Network with Kubernetes on Google Cloud
Google Cloud · beginner hands-on
→ Deploy a Kubernetes cluster on Google Cloud→ Configure a telco-grade network with GKE
Kubernetes for Beginners
Siraj Raval · beginner hands-on
→ Deploy apps to Kubernetes clusters→ Manage containerized apps in the cloud
K8s after the Honeymoon: It’s Complicated
The New Stack · intermediate hands-on
→ Deploy applications on K8s→ Manage K8s clusters→ Use Docker and containers
Step by Step Application Deployment on LKE using Helm | Kubernetes on Cloud (2/2)
TechWorld with Nana · beginner hands-on
→ Deploy applications on Kubernetes→ Use Helm for Kubernetes deployment
Running Mesos Application Frameworks on Kubernetes With the Universal Resource Broker
The New Stack · intermediate hands-on
→ Deploy Mesos workloads on Kubernetes→ Configure Universal Resource Broker for Kubernetes
Sarah Gibson No Magic Added Deploying Multiple JupyterHubs to Multiple Clouds from one Repositor
JupyterCon · intermediate hands-on
→ Deploy JupyterHub to multiple clouds→ Manage Kubernetes clusters for JupyterHub deployment