Just enough kubernetes to be dangerous

Set up a Google Compute Engine cluster, deploy a node application, and learn Kubernetes basics—deployments, services, service discovery, and scalable, zero-downtime deployments.

This lecture explains why Kubernetes is needed to deploy multi-service applications, turning many hosts into a single cluster, scheduling containers by resource needs, and enabling scaling and load balancing.

Explore why you need a container orchestration engine like Kubernetes to manage multi-host containers, covering clusters, scheduling, networking, service discovery, load balancing, and deployment strategies.

Discover how Google's container evolution - from linux containers to Docker, Borg and Omega - led to Kubernetes, the open source container orchestration project backed by CNCF.

Learn how Kubernetes core concepts like deployments, replication controllers, and services manage containerized apps, scale replicas, ensure availability, roll out updates, and route traffic with service discovery.

Launch a Kubernetes cluster on Google Cloud Platform using the managed environment, create a default cluster with nodes, and explore the Google Cloud Console and endpoints.

Deploys a front-end app on a GKE cluster with a three-replica deployment, autoscaling, and a load-balanced service exposing an external IP on port 80.

Explore how deployments maintain replicas, enable auto scaling, and execute rolling updates or recreate strategies using labels and selectors to achieve high availability and fault tolerance.

Publish your application with kubernetes services by creating a load balancer that exposes multiple pods via an external ip or domain name, using labels and selectors for traffic routing.

Discover how pods, the unit of deployment, co-locate containers on a node, sharing network and volumes while enabling one or more containers per pod.

Explore when to run multiple containers in a pod, including sidecar, ambassador, and adapter patterns; avoid multi-app containers and learn use cases, scaling, and monitoring implications.

Explore how Kubernetes internal service discovery connects front-end applications to back-end services using DNS, cluster IP, and internal load balancers to enable dynamic, scalable communication.

Deploy the guards shopping cart application in your Google Kubernetes cluster, connect it to the front-end and catalog, and validate by seeing the cart button in the top-right corner.

Deploys the carts application by creating workloads, applying a container image, and exposing a service on port 80, enabling front end, catalog, guards, and database with high availability on Kubernetes.

Manually adjust Kubernetes deployment replicas to scale your app, then test with a load to trigger the auto scaler. Watch autoscaling add and remove replicas across nodes for efficient capacity.

Achieve zero downtime upgrades by performing rolling updates that replace front-end replicas in batches with versioned images and a load balancer keeping traffic steady.

Learn to manage a kubernetes cluster with kubectl using cloud shell, inspecting deployments and services, and scaling front-end replicas with get, describe, and scale commands.

Explore Kubernetes complexity and its learning curve, as the course guides you toward community expertise and a certification for Kubernetes administrators, with practical insights from Google's ecosystem.