Container Service Diagram: Visualizing Workloads with Hava.io

Introduction

When you are building cloud based infrastructure or are handed a new account or existing project to manage, the very first thing you are likely to ask yourself is what does the infrastructure look like? What resources are running? Where are they running? What does the security look like?

With the wide adoption of containers as a method of rapidly deploying software applications to the cloud, the need to visualise workloads has been gaining momentum. The need to see the status of pods and tasks in container clusters is a major benefit when you visualise containerised workloads on an interactive diagram.

Hava has always generated diagrams for traditional compute VPCs and virtual networks and for a long time has also automatically generated AWS ECS Cluster diagrams when clusters are detected in a connected AWS account.

The ability to diagram other containerised workloads, particularly the market leading Kubernetes  has now been added to the core functionality of Hava so you can now view AWS EKS Kubernetes clusters, Azure Kubernetes Clusters (AKS), Google Kubernetes Clusters (GKE) and also stand alone Kubernetes Clusters 

One of the diagrams that is automatically generated when you connect your AWS account to Hava is the AWS ECS Container View. 

Whether you are building a new application or migrating legacy on premise workloads to AWS it's good to know what compute services are available and which ones might be a good choice for your specific application or workload.

One of the diagrams that is automatically generated when you connect your AWS account to Hava is the AWS Container View. 

AWS Fargate is a service that provisions serverless compute resources to run AWS ECS and EKS containers.  AWS states that Fargate allows you to focus on building your applications when you let Fargate provision and manage the infrastructure required. Think of it as containers on-demand with no underlying manually created infrastructure that are quick to launch and scale, where you manage everything at the container level.

This month AWS announced the release of App Runner which is a fully managed container-native service designed to make it easier for developers to quickly deploy APIs, micro-services, and web applications using source code repositories and container images. 

In this Post we will look at a high level overview of all the different AWS container services you can use on AWS. If you want to run a containerized application on AWS you have multiple options to choose from depending on your application requirements, AWS Security and orchestration software preferences.