Ankit Rathi, Author at DEVOPS DONE RIGHT

ECS | Capacity Provider Strategy

Introduction:

In the previous blog post, we covered the topic of Amazon Elastic Container Service (ECS) and delved into how this service can be effectively utilized. If you haven’t had a chance to explore that blog yet, we highly recommend visiting it to gain a deeper understanding of ECS and its practical applications.

link: https://opstree.com/blog//2023/09/19/applications-hosting-on-ecs/

In this blog, we will explore the concept of Capacity Providers in Amazon ECS. We’ll delve into the reasons for choosing Capacity Providers in Amazon ECS, understand how they function, examine the various types of Capacity Providers, explore the significance of weight and base settings within Capacity Providers, and take a closer look at the potential drawbacks associated with their usage.

What is a Capacity Provider:

Amazon Elastic Container Service (ECS) is a robust container orchestration service offered by Amazon Web Services (AWS), designed to simplify the deployment, management, and scaling of containerized applications. At the heart of ECS lies the concept of Capacity Providers. It’s a fundamental element streamlining the intricate process of managing the compute resources that underpin your containerized workloads.

Applications Hosting on ECS

Introduction

Applications hosting on Amazon Elastic Container Service (ECS) is a cloud computing solution provided by AWS that enables organizations to manage, scale, and deploy containerized applications with ease. ECS simplifies container deployment and management, enabling developers to concentrate on creating and running their applications.

In this blog, we will create a repository, copy an image to Amazon Elastic Container Registry (ECR), define a task, and set up an ECS cluster to host an application on Amazon ECS.

Create a repo and Copy an Image in ECR

Amazon ECR is a fully managed container registry service provided by Amazon Web Services (AWS). It allows you to store, manage, and deploy Docker container images. Please follow the below steps to create a repo in ECR and copy an image to that ECR.

Multi-Account Management using AWS Control Tower

Introduction

When an organization grows rapidly with time then the complexity of their cloud infrastructure, security concerns, and the need for better resource management also grows. Then there is a need for a more efficient and secure way to manage the workloads. To overcome these problems we can use multiple aws accounts in our aws environment. Some use cases where we can segregate AWS accounts are as follows:

We may have a dedicated production account that will protect the organization’s valuable data and minimize the risk of unauthorized access.

There may be a separate development and testing account that allowed their teams to work without impacting the stability of the production systems.

Similarly, we may have a separate AWS account dedicated to replicating critical data, to ensure business continuity in the face of unforeseen events.

In this way, if we use different AWS accounts then our infrastructure becomes more secure with a reduced blast radius. Resource management become easy, with better cost control and optimized resource allocation.

In this blog post, we will explore why we need an AWS control tower for managing multiple AWS accounts, how we can set up AWS Control Tower, and how it can be leveraged to efficiently manage and govern multiple accounts using an account factory, organization units, guardrails, and logging and monitoring.

Why do we need AWS Control Tower?

We have multiple aws accounts in our organization and managing these AWS accounts can become more complex and time-consuming without a centralized management solution. Multiple AWS accounts also require additional administrative effort and resources. Some tasks such as managing user access and permissions across accounts, secure access across accounts, limited resource sharing, tracking, and managing costs and billing need to be performed separately for each account which leads to increased complexity and administrative overhead.