Conclusion

To summarize, Azure Container Instances are not, and never will be, production-ready. AWS ECS is fully there, and Google Cloud Run is very close to being production-ready.

Finally, can any of those services be qualified as serverless? To answer that question, let’s define the features we expect from managed serverless computing.

It’s supposed to remove the need to manage infrastructure or at least simplify it greatly. It should provide scalability and high availability, and it ...

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

Summary: CaaS

Conclusion