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  1. Stackups
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  4. Cluster Management
  5. Amazon EC2 Container Service vs Apache Mesos

Amazon EC2 Container Service vs Apache Mesos

OverviewDecisionsComparisonAlternatives

Overview

Apache Mesos
Apache Mesos
Stacks306
Followers418
Votes31
GitHub Stars5.3K
Forks1.7K
Amazon EC2 Container Service
Amazon EC2 Container Service
Stacks14.5K
Followers10.2K
Votes325

Amazon EC2 Container Service vs Apache Mesos: What are the differences?

# Key Differences between Amazon EC2 Container Service and Apache Mesos

Amazon EC2 Container Service (ECS) and Apache Mesos are both container orchestration platforms but have several key differences that differentiate their functionalities and use cases. 

1. **Resource Management**: ECS is tightly integrated with AWS services, making it easier to manage resources within the AWS environment. On the other hand, Mesos offers greater flexibility in managing resources across multiple data centers and clouds, providing more extensive resource management capabilities. 
   
2. **Scaling**: When it comes to scaling, ECS is designed to easily scale containers within a single AWS region, whereas Mesos allows for efficient scaling across multiple regions and cloud providers, providing a more versatile scaling solution.
   
3. **Community Support**: Apache Mesos is an open-source project with a large and active community of contributors, providing a wide range of plugins and integrations. In contrast, ECS is a part of the AWS ecosystem with limited community support outside of AWS services and documentation.
   
4. **Scheduling Algorithm**: ECS uses a proprietary scheduling algorithm that optimizes task placement based on predefined rules and constraints set by the user. Mesos, on the other hand, offers a sophisticated resource sharing model that allows for more granular control over task scheduling and prioritization.
   
5. **Integration with Other Tools**: ECS seamlessly integrates with other AWS services such as ECR, ELB, and CloudWatch, providing a comprehensive ecosystem for container management. Mesos, while offering integrations with various third-party tools, may require more configuration and setup to achieve the same level of integration with external services.
   
6. **Docker Support**: Both ECS and Mesos support Docker containers, but ECS is specifically designed to work with Docker containers within the AWS environment, providing native support for Docker images from ECR. Mesos offers more general support for Docker containers and can work with containers from any Docker registry or repository.

In Summary, Amazon EC2 Container Service (ECS) and Apache Mesos have distinct differences in terms of resource management, scaling capabilities, community support, scheduling algorithms, integration with other tools, and Docker support, catering to different needs and preferences in container orchestration.

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Advice on Apache Mesos, Amazon EC2 Container Service

Andres
Andres

Lead Senior Software Engineer at InTouch Technology

Jun 3, 2020

Decided

If you want to integrate your cluster and control end to end your pipeline with AWS tools like ECR and Code Pipeline your best option is ECS using a EC2 instance. There are pros and cons but it's easier to integrate using cloud formation templates and visual UI for approvals, etc. ECS is free, you need to pay only for the EC2 instance but unfortunately, it is not standard then you cannot use standard tools to see and manage your Kubernetes.
EKS in the other hand uses standard Kubernates definitions but you need to pay for the service and also for the EC2 instance(s) you have in your cluster.

91.7k views91.7k
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Detailed Comparison

Apache Mesos
Apache Mesos
Amazon EC2 Container Service
Amazon EC2 Container Service

Apache Mesos is a cluster manager that simplifies the complexity of running applications on a shared pool of servers.

Amazon EC2 Container Service lets you launch and stop container-enabled applications with simple API calls, allows you to query the state of your cluster from a centralized service, and gives you access to many familiar Amazon EC2 features like security groups, EBS volumes and IAM roles.

Fault-tolerant replicated master using ZooKeeper;Scalability to 10,000s of nodes;Isolation between tasks with Linux Containers;Multi-resource scheduling (memory and CPU aware);Java, Python and C++ APIs for developing new parallel applications;Web UI for viewing cluster state
Docker Compatibility;Managed Clusters;Programmatic Control;Task Definitions;Scheduler;Docker Repository
Statistics
GitHub Stars
5.3K
GitHub Stars
-
GitHub Forks
1.7K
GitHub Forks
-
Stacks
306
Stacks
14.5K
Followers
418
Followers
10.2K
Votes
31
Votes
325
Pros & Cons
Pros
  • 21
    Easy scaling
  • 6
    Web UI
  • 2
    Fault-Tolerant
  • 1
    High-Available
  • 1
    Elastic Distributed System
Cons
  • 1
    Depends on Zookeeper
  • 1
    Not for long term
Pros
  • 100
    Backed by amazon
  • 72
    Familiar to ec2
  • 53
    Cluster based
  • 42
    Simple API
  • 26
    Iam roles
Integrations
Apache Aurora
Apache Aurora
Docker
Docker
Amazon EC2
Amazon EC2

What are some alternatives to Apache Mesos, Amazon EC2 Container Service?

Google Kubernetes Engine

Google Kubernetes Engine

Container Engine takes care of provisioning and maintaining the underlying virtual machine cluster, scaling your application, and operational logistics like logging, monitoring, and health management.

Containerum

Containerum

Containerum is built to aid cluster management, teamwork and resource allocation. Containerum runs on top of any Kubernetes cluster and provides a friendly Web UI for cluster management.

Nomad

Nomad

Nomad is a cluster manager, designed for both long lived services and short lived batch processing workloads. Developers use a declarative job specification to submit work, and Nomad ensures constraints are satisfied and resource utilization is optimized by efficient task packing. Nomad supports all major operating systems and virtualized, containerized, or standalone applications.

DC/OS

DC/OS

Unlike traditional operating systems, DC/OS spans multiple machines within a network, aggregating their resources to maximize utilization by distributed applications.

Azure Container Service

Azure Container Service

Azure Container Service optimizes the configuration of popular open source tools and technologies specifically for Azure. You get an open solution that offers portability for both your containers and your application configuration. You select the size, the number of hosts, and choice of orchestrator tools, and Container Service handles everything else.

Docker Cloud

Docker Cloud

Docker Cloud is the best way to deploy and manage Dockerized applications. Docker Cloud makes it easy for new Docker users to manage and deploy the full spectrum of applications, from single container apps to distributed microservices stacks, to any cloud or on-premises infrastructure.

Mesosphere

Mesosphere

Mesosphere offers a layer of software that organizes your machines, VMs, and cloud instances and lets applications draw from a single pool of intelligently- and dynamically-allocated resources, increasing efficiency and reducing operational complexity.

Amazon EKS

Amazon EKS

Amazon Elastic Container Service for Kubernetes (Amazon EKS) is a managed service that makes it easy for you to run Kubernetes on AWS without needing to install and operate your own Kubernetes clusters.

Gardener

Gardener

Many Open Source tools exist which help in creating and updating single Kubernetes clusters. However, the more clusters you need the harder it becomes to operate, monitor, manage and keep all of them alive and up-to-date. And that is exactly what project Gardener focuses on.

instainer

instainer

InstaDocker is a Docker container hosting service which allows run any Docker container on the cloud instantly.

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