Discussing our plan

Google Cloud Functions service ticks the usual managed FaaS boxes. It’s a service that allows us to deploy and manage functions while ignoring the existence of servers.

Functions don’t run on thin air, but this time it’s Google making sure that they’re up and running. The solution scales automatically based on the load. It has monitoring, logging, debugging, security, and so on and so forth.

All the managed FaaS solutions we’ll explore are doing the same things, more or less, so we can skip that part and jump straight into practical hands-on examples.

Before We Get Started

Infrastructure as Code (IaC)

Google Kubernetes Engine (GKE) Clusters with Terraform

Manage Infrastructure using Terraform on Google Cloud Platform

AWS Elastic Kubernetes Service (EKS) Clusters with Terraform

Azure Kubernetes Service (AKS) Clusters with Terraform

Packaging, Deploying, and Managing Applications

Deploying a Web Application over Kubernetes

Using Helm as a Package Manager for Kubernetes

Hands-On: Using Helm as a Package Manager for Kubernetes on AWS

Exploring Serverless Computing

Using Managed Functions as a Service(FaaS)

Hands On: Using Managed Functions as a Service(FaaS) on AWS

Serverless as the Future

Using Managed Containers as a Service(CaaS)

Hands On: Using Managed Containers as a Service(CaaS) on AWS

Using Self-Managed Containers as a Service (CaaS)

Hands-On: Using Self-Managed Containers As A Service on AWS

Using Centralized Logging

Hands-On: Using Centralised Logging

Deploying Applications Using GitOps Principles

Hands-On: Deploying Applications Using GitOps Principles

Applying Progressive Delivery

Hands-On: Applying Progressive Delivery

Conclusion

Appendix

Getting Started with Google Cloud Functions (GCF)

Discussing our plan

Prerequisites