Book Image

Serverless Architectures with Kubernetes

By : Onur Yılmaz, Sathsara Sarathchandra
Book Image

Serverless Architectures with Kubernetes

By: Onur Yılmaz, Sathsara Sarathchandra

Overview of this book

Kubernetes has established itself as the standard platform for container management, orchestration, and deployment. By learning Kubernetes, you’ll be able to design your own serverless architecture by implementing the function-as-a-service (FaaS) model. After an accelerated, hands-on overview of the serverless architecture and various Kubernetes concepts, you’ll cover a wide range of real-world development challenges faced by real-world developers, and explore various techniques to overcome them. You’ll learn how to create production-ready Kubernetes clusters and run serverless applications on them. You'll see how Kubernetes platforms and serverless frameworks such as Kubeless, Apache OpenWhisk and OpenFaaS provide the tooling to help you develop serverless applications on Kubernetes. You'll also learn ways to select the appropriate framework for your upcoming project. By the end of this book, you’ll have the skills and confidence to design your own serverless applications using the power and flexibility of Kubernetes.
Table of Contents (11 chapters)
2. Introduction to Serverless in the Cloud

6. Upcoming Serverless Features in Kubernetes

Activity 6: Deploy a Containerized Application in a Serverless Environment


  1. First, create a new directory to store the files for this activity and change directory to the newly created directory:
    $ mkdir chapter-06-activity
    $ cd chapter-06-activity
  2. Create an application that can return the current date and time for the given timezone. We will be using PHP to write this function, but you can choose any language that you're comfortable with. Create an index.php file with the content given in step 1.

    Now we need to create the Docker image according to the container runtime contract ( for Google Cloud Run. Create a new file named Dockerfile with the content in step 2.

  3. Once the Dockerfile is ready, we can build the Docker image. Replace <your-gcp-project-name> with the ID of your GCP project. Next, use the docker build command to build the Docker...