Serverless on Kubernetes Fundamentals

• Proficiency in Python programming experience
• Intermediate experience with Kubernetes concepts and principles
• An understanding of containerization and cloud technologies
• Experience with Linux distributions and CLI

Audience

• Developers
• DevOps Engineers

Serverless is a DevOps architecture that allows the creation and deployment of highly-scalable enterprise applications without the provisioning of any server. Kubernetes is an open-source platform for building container-based and cloud-native projects. A serverless framework can be integrated with Kubernetes to provide the automated hosting infrastructure necessary to run CaaS and FaaS implementations.

This instructor-led, live training (online or onsite) is aimed at developers and DevOps engineers who wish to utilize a serverless approach for building enterprise applications in Kubernetes.

By the end of this training, participants will be able to:

• Setup and configure the Kubernetes system to start developing with a serverless architecture.
• Understand the concepts and principles foundational to serverless environments.
• Operate toolchains necessary to serverless development and integrate it with Kubernetes components.
• Practice their skill in Python programming language and apply it to implement  serverless systems.
• Secure enterprise applications that are deployed through a serverless framework on Kubernetes.
• Utilize modern cloud computing methods in optimizing DevOps task processing workflows.

Format of the Course

• Interactive lecture and discussion.
• Lots of exercises and practice.
• Hands-on implementation in a live-lab environment.

Course Customization Options

• To request a customized training for this course, please contact us to arrange.

Introduction

Overview of Serverless Features and Architecture

• How does serverless development work?
• What are requisites to a serverless approach?

Overview of CNCF Ecosystem and Serverless Environments

• Serverless Container as a Service v.s. Serverless Function as a Service

Getting Started with Serverless on Kubernetes

• Choosing the right serverless framework for Kubernetes
• Fission v.s. Kubeless v.s. Knative
• Knative v.s. OpenFaaS

Overview of Additional FaaS Providers for Serverless Frameworks

Overview of OpenFaaS Toolchain and Features

• Why should you get started with OpenFaaS?
• What tools can be integrated with OpenFaaS

Setting Up the Kubernetes System for Serverless Development

• Installing and configuring the necessary frameworks and tools

Operating the Core Serverless Framework Tools and Utilizing the API

• Navigating the dashboard and working with the UI or CLI

Overview of FaaS Implementations and Kubernetes Serverless Applications

• Cold start v.s. warm start

Creating a Python Function in Kubernetes Using a Serverless Framework

Storing Code Templates and Sharing Functions in Repositories

• Versioning serverless Kubernetes projects

Testing Python Functions and Optimizing Performance Metrics

• Working with invocation metrics

Implementing Automatic Scaling for Management of Resources Response

• Applying changes to functions

Adding Dependencies to Functions and Creating Native Extensions

Storing Kubernetes Secrets in Serverless Functions

• Leveraging container images and pod definitions

Securing Kubernetes Serverless Functions and Building Authentication Functionalities

• Working with TLS protocol

Deploying Python Functions with Serverless on Kubernetes

• Employing Serverless CI/CD pipelines for deployment
• Customizing component URLs

Monitoring Function Lifecycle and Reviewing Request Logs

Troubleshooting

Summary and Conclusion