Containers in the Cloud

Compute Options

IaaS

Share compute resources by virtualizing hardware. Smallest entity is a whole server. Full control of hardware, but hard to scale.

PaaS (App Engine)

Easy to scale, but no control of hardware.

Containers

Virtualize operating system. Easy scaling. Kubernetes is a tool to orchestrate containers.

Kubernetes, Google Kubernetes Engine

Create Pods

A pod is the smalles deployable component in Kubernetes.

A deployment is a group of replicas of the same pod.

List running pods

$> kubectl get pods

Expose Pods to Internet

Expose pods to the internet using a loadbalancer. Kubernetes creates a service with a fixed IP address for the pods.

$> kubectl expose deployments nginx --port=80 --type=LoadBalancer

A service groups a set of pods together and provides a stable endpoint, like a public IP address. Pods have their internal IP addresses, but these addresses are not stable. Services create a stable entrypoint to the pods.

$> kubectl get services

Scale Application

$> kubectl scale nginx --replicas=3

Autoscaling

$> kubectl autoscale nginx --min=10 --max=15 --cpu=80

Configuration File

$> kubectl get pods -l "app=nginx" -o yaml
$> kubectl apply -f nginx-deployment.yaml

Monitoring

$> kubectl get replicasets
$> kubectl get pods
$> kubectl get deployments
$> kubectl get services

Updating

Update strategies define how an update is deployed. For example: Rolling Update.

Hybrid and Multi-Cloud Computing (Anthos)

Hybrid architectures allow for on-premise and cloud compute workloads.

• Kubernetes and GKE On-Prem create the foundation.
• On-premise and Cloud environments stay in sync.
• Tools are proviced for:
  • Managing services
  • Monitoring
  • Migration
  • Consistent policies