Are you wondering which one is better – ECS or Kubernetes? Dont worry! We unlock the answer here. This blog discusses the differences between ECS and Kubernetes based on various parameters. Also, the blog will let you know when to use ECS and when to use Kubernetes precisely. By the end of the article, you will gain the competence to find the better one.
AWS ECS and Kubernetes are the two container orchestration tools increasingly adopted by companies for deploying, managing, and scaling containerized applications. Though the tools serve the same purpose, they differ in many ways. Therefore, it is important to weigh down the tools precisely to find the better one.
This blog compares the features and abilities of the ECS and Kubernetes from many angles. Undeniably, it will help you to make a concrete decision on choosing the right tool. Okay! Without any further ado, let’s dive into the blog now.
Table of Contents:
Amazon ECS or Amazon Elastic Container Service is a fully managed container orchestration tool. Amazon ECS helps to deploy, manage, and scale containerized applications on various platforms seamlessly.
Amazon ECS can be tightly integrated with the Amazon Elastic Container Registry (ECR). It allows developers to focus on developing high-performing applications without worrying about resource management. The best thing about ECS is that you can seamlessly manage containers across multi-cloud and on-premises environments.
Kubernetes is an open-source container orchestration tool. With Kubernetes, you can automate deploying, managing, and scaling containerized applications on different platforms.
Every Kubernetes cluster has two major components: the control plane and nodes. Each Node in a cluster contains pods that host containers. Kubernetes supports the development and running of applications on containers securely.
All right! Next, we will jump into the section that compares the ECS and Kubernetes on multiple factors.
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Many differences split the AWS ECS and Kubernetes as separate and unique tools. Let's figure it out!
Product Type
Kubernetes is an open-source tool with a robust ecosystem of tools and plugins. The user community for Kubernetes is so vast.
On the other hand, AWS ECS is not an open-source tool. Users must pay for the AWS resources that they consume. AWS ECS is offered to users in two different models, such as the AWS Fargate launch type model and AWS ECS on AWS outposts/AWS EC2 launch type
Portfolio
AWS ECS deploys and scales containerized applications on a larger scale. It is done by integrating with other AWS platforms, such as Amazon EBS and Amazon EC2.
On the other side, Kubernetes uses various Kubernetes cluster control plane components, such as kube-scheduler, kube-apiserver, cloud controller manager, etc., for container management. It also uses node components such as kubelet, container runtime, kube-proxy, and many add-ons.
Configuration
When it comes to configuration, the AWS ECS comes with a preconfigured ecosystem. So, users need to make configurations on a minimum scale.
Unlike AWS ECS, you must make a full-fledged resource configuration in Kubernetes. It’s more time-consuming and demands much effort.
Load Balancing
AWS ECS leverages the elastic load balancing method to distribute workloads across multiple containers. For example, ECS services hosted on AWS fargate launch type model use the network load balancer and the application load balancer for balancing workloads.
On the other side, Kubernetes employs internal and external load balancing to distribute workloads.
Service Mesh
AWS ECS doesn’t have a built-in service mesh. However, it is easy to integrate ECS with external service meshes such as Linkerd and Istio.
On the contrary, Kubernetes offers a service mesh facility with a dedicated infrastructure layer. The service mesh in Kubernetes uses a control plane, sidecar proxies, and a data plane to manage workloads efficiently.
Networking
AWS ECS leverages Amazon Virtual Private Cloud (VPC) for networking. It allows containers to connect with each other and with external applications.
On the flip side, Kubernetes uses Calico to enable secure and seamless communication across pods in a cluster. Calico is a robust networking solution that provides a network policy to secure applications.
Monitoring and logging
ECS integrates with AWS Cloud Watch to monitor and log the performance of containerized applications.
On the other side, Kubernetes integrates with tools such as Grafana and Prometheus for monitoring and logging.
Pricing
AWS ECS charges users only for the AWS resources that they consume. It doesn’t charge any upfront costs. ECS services are offered in two models such as the AWS Fargate model and the Amazon EC2 launch type model/Amazon ECS on AWS outposts. Each model has a different pricing option.
On the flip side, Kubernetes is a free tool. However, Kubernetes service providers like GCP, Azure, and AWS charge pricing based on various editions. For example, GCP has different pricing options for public cloud environments and on-premises environments.
Well! The comparison must have given you better clarity of the ECE and Kubernetes. Coming up is the summarized version of the comparison. Let’s take a look.
This section highlights the differences between ECS and Kubernetes in the below table.
Features |
AWS ECS |
Kubernetes |
Product Type |
Commercial product |
Open source tool |
Portfolio |
Fully managed service. Integrates with AWS EC2 and Amazon EBS for deployment. |
Performs deployment and scaling using cluster control plane components and node components. |
Configuration |
Preconfigured. Only a minimum of manual configuration is required. |
No pre-configuration. Needs a full-fledged configuration. |
Load balancing |
Elastic load balancing method. |
Adopts internal and external load balancing methods. |
Service Mesh |
No built-in service mesh. But integrates with external service meshes. |
Offers service mesh facility with a dedicated infrastructure layer. |
Networking |
Employs Amazon VPC for networking. |
Employs Calico for networking. |
Monitoring and Logging |
Leverages AWS CloudWatch for monitoring |
Integrates with Prometheus and Grafana for monitoring |
Pricing |
Charges only for the consumed AWS resources. |
Free of cost. However, Kubernetes service providers charge based on product editions. |
Let’s outline the pluses and minuses of AWS ECS in the following.
Pros:
Cons:
Let’s address the pros and cons of Kubernetes below.
Pros:
Cons:
Okay! If you understand when to use AWS ECS and Kubernetes, it will be easy to pick the best tool. Let’s see them in the next section.
AWS ECS is the best choice when you need to:
Kubernetes is the best choice when you need to:
Is Kubernetes hard to learn?
No, learning Kubernetes is not a tough task. Though the learning curve for Kubernetes is steep, if you invest your time and efforts, then learning Kubernetes is not a great deal. MindMajix offers Kubernetes training with an industry-designed course curriculum delivered by skilled trainers. Choosing MindMajix as your learning partner will be a game changer, undoubtedly.
Is it worth learning Kubernetes?
Yes, learning Kubernetes is purely a wise idea. According to Ambition Box, Kubernetes administrators can make an average salary of 11 LPA in India. They can make around 145k USD per year in the USA on average. Best companies like TCS, Accenture, IBM, HCL Tech, Capgemini, etc., hire Kubernetes engineers in huge numbers. So, a career in Kubernetes is promising and rewarding.
How does AWS ECS work?
AWS ECS has three layers: capacity, controller, and provisioning. Capacity is the infrastructure where containers run. The controller helps to deploy and scale applications. The provisioning layer supports interfacing with the scheduler to manage applications.
What is AWS ECS used for?
AWS ECS is used for deploying, managing, and scaling containerized applications. This tool deploys applications using serverless technology.
It’s time to decide – which tool is better, ECS or Kubernetes? Remember, ECS shines in managing long-running applications, batch computing workloads, serverless deployment, etc. On the other hand, Kubernetes excels in managing microservices-based applications, migrating applications, load balancing, and so on. Hence, you must choose the right tool that caters to your business requirements. That’s it!
What’s more! If you go through professional training in ECS and Kubernetes, it will help to elevate your knowledge of the tools. So you can make a strong decision on choosing the right tool for your business or project requirements. Sign up for ECS and Kubernetes courses in MindMajix and relentlessly create success stories.
Our work-support plans provide precise options as per your project tasks. Whether you are a newbie or an experienced professional seeking assistance in completing project tasks, we are here with the following plans to meet your custom needs:
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Madhuri is a Senior Content Creator at MindMajix. She has written about a range of different topics on various technologies, which include, Splunk, Tensorflow, Selenium, and CEH. She spends most of her time researching on technology, and startups. Connect with her via LinkedIn and Twitter .