Deploying A Dockerized app on GCP with Kubernetes

Deploying A Dockerized app on GCP with Kubernetes

Transcript

1. DOCKER + GCP + Kubernetes Deploying A Dockerized app on GCP with Kubernetes John Kariuki @_kar_is
2. Prerequisites 1. Docker 2. Kubernetes 3. GCP Trial Account
3. Docker is a containerization platform. Docker containers wrap a piece of software in a complete filesystem that contains everything needed to run: code, runtime, system tools, system libraries – anything that can be installed on a server. This guarantees that the software will always run the same, regardless of its environment.
4. Docker, basically containers, supports OS virtualization i.e. your application feels that it has a complete instance of an OS whereas VM supports hardware virtualization. You feel like it is a physical machine in which you can boot any OS.
5. Virtual Machine Docker
6. Kubernetes is an open-source platform for automating deployment, scaling, and operations of application containers across clusters of hosts, providing container-centric infrastructure. • Deploy your applications quickly and predictably. • Auto scaling apps. • Roll out new features / Rollback failing features. • Docker container management.
7. Installing Gcloud https://cloud.google.com/sdk/docs/quickstart-mac-os-x Setup - gcloud init Login - gcloud auth login Check Login credentials / config - gcloud auth list / gcloud config list
8. Dockerfile - Set of instructions for building a docker image. docker build -t gcr.io/{$project_id}/{image}:{tag} . Creating a container: docker run -d -p 8000:8000 --name {app} gcr.io/{project_id}/{image}:{tag}
9. Clusters Group of Google Compute Engine instances running kubernetes. Pods, services, and replication controllers all run on top of a cluster.
10. Pushing a docker container to Google cloud. - Create a cluster - gcloud container clusters create {cluster} - Get credentials - gcloud container clusters get-credentials {cluster} - Set default cluster - gcloud config set container/cluster {cluster}
11. Pushing a docker container to Google cloud. Once you have a cluster setup, push the image to the Google container registry - gcloud docker -- push gcr.io/{project_id}/{image}:{tag}
12. PODS A Kubernetes pod is a group of containers, tied together for the purposes of administration and networking Group of one or more containers(Docker containers) and their storage. Pods are always co-located and co-scheduled, and run in a shared context. Containers within a pod share an IP address and port space, and can find each other via localhost.
13. Creating a POD 1. From a yaml file kubectl create -f deployment.yml 2. Command line kubectl run {deployment_name} --image=gcr.io/$PROJECT_ID/{name}:{tag} --port={port}
14. SERVICES A Kubernetes Service is an abstraction which defines a logical set of Pods and a policy by which to access them - sometimes called a micro-service. It Enables external traffic exposure, load balancing and service discovery for those Pods. INGRESS An Ingress is a collection of rules that allow inbound connections to reach the cluster services
15. Creating a Service 1. From a yaml file kubectl create -f service.yml 2. Command line kubectl expose deployment {service_name} --type="LoadBalancer"
16. Scaling your app kubectl scale deployment {dep} --replicas=4
17. Questions? pub.scotch.io/@johnkariuki