4 Hour Live Virtual Training on MultiCloud IaaS, PaaS, Serverless, and Kubernetes Workloads

About the Course

Multi-cloud IaaS, PaaS, Serverless, and Kubernetes - There are several possible solutions for maintaining cloud interoperability:

Run workloads on virtual machines without a dependency on cloud-specific services

Make use of Platform as a Service

Deploy workload using Serverless or Function as a Service

Leverage Kubernetes as a Service

The purpose of this course is to analyze the pros and cons of the different approaches

And to experience the different approaches with pragmatic hands-on labs and group discussions

Course Objective

Review the common design patterns deployment models: IaaS, PaaS, KaaS, and FaaS

Highlight best design practices for the cloud-native applications: the twelve factors app

Automate deployment of IaaS to a couple of public cloud providers: Aws, GCP or Azure leveraging terraform

Demonstrate the process of authoring a Dockerfile to run the end-point application in a container

Make use of Kubernetes as a service to deploy and monitor the created image

Convert the end-point to a serverless function and deploy to a couple of cloud providers: AWS, GCP, or Azure

Who is the Target Audience?

Software architects evaluating the strategies for an inter-cloud and multi-cloud deployment models

Software developers writing code that needs to run on different or multiple cloud providers

DevOps engineers that will be implementing inter-cloud ci/cd

Basic Knowledge:

Previous experience with public cloud providers: Aws, GCP, or Azure

Familiarity with Micro-services concepts

Recent hands-on experience with terminal/command line

Access to AWS, GCP, Azure account, a free trial is sufficient