What is Amazon Elastic Container Service?

Amazon Elastic Container Service (Amazon ECS) is a fully managed container orchestration service that helps you easily deploy, manage, and scale containerized applications. As a fully managed service, Amazon ECS comes with Amazon configuration and operational best practices built-in. It's integrated with both Amazon and third-party tools, such as Amazon Elastic Container Registry and Docker. This integration makes it easier for teams to focus on building the applications, not the environment. You can run and scale your container workloads across Amazon Web Services Regions in the cloud, and on-premises, without the complexity of managing a control plane.

Amazon ECS terminology and components

There are three layers in Amazon ECS:

Capacity - The infrastructure where your containers run

Controller - Deploy and manage your applications that run on the containers

Provisioning - The tools that you can use to interface with the scheduler to deploy and manage your applications and containers

The following diagram shows the Amazon ECS layers.


                Diagram showing the capacity, controller, and provisioning layers.

Amazon ECS capacity

Amazon ECS capacity is the infrastructure where your containers run. The following is an overview of the capacity options:

Amazon EC2 instances in the Amazon cloud

You choose the instance type, the number of instances, and manage the capacity.

Serverless (Amazon Fargate (Fargate)) in the Amazon cloud

Fargate is a serverless, pay-as-you-go compute engine. With Fargate you don't need to manage servers, handle capacity planning, or isolate container workloads for security.

On-premises virtual machines (VM) or servers

Amazon ECS Anywhere provides support for registering an external instance such as an on-premises server or virtual machine (VM), to your Amazon ECS cluster.

The capacity can be located in any of the following Amazon resources:

Availability Zones

Local Zones

Wavelength Zones

Amazon Web Services Regions

Amazon Outposts

Amazon ECS controller

The Amazon ECS scheduler is the software that manages your applications.

Amazon ECS provisioning

There are multiple options for provisioning Amazon ECS:

Amazon Web Services Management Console — Provides a web interface that you can use to access your Amazon ECS resources.

Amazon Command Line Interface (Amazon CLI) — Provides commands for a broad set of Amazon services, including Amazon ECS. It's supported on Windows, Mac, and Linux. For more information, see Amazon Command Line Interface .

Amazon SDKs — Provides language-specific APIs and takes care of many of the connection details. These include calculating signatures, handling request retries, and error handling. For more information, see Amazon SDKs .

Copilot — Provides an open-source tool for developers to build, release, and operate production ready containerized applications on Amazon ECS. For more information, see Copilot on the GitHub website.

Amazon CDK — Provides an open-source software development framework that you can use to model and provision your cloud application resources using familiar programming languages. The Amazon CDK provisions your resources in a safe, repeatable manner through Amazon CloudFormation.

Application lifecycle

The following diagram shows the application lifecycle and how it works with the Amazon ECS components.


                Diagram showing the capacity, controller, and provisioning layers.

You must architect your applications so that they can run on containers . A container is a standardized unit of software development that holds everything that your software application requires to run. This includes relevant code, runtime, system tools, and system libraries. Containers are created from a read-only template that's called an image . Images are typically built from a Dockerfile. A Dockerfile is a plaintext file that specifies all of the components that are included in the container. After they're built, these images are stored in a registry such as Amazon ECR where they can be downloaded from.

After you create and store your image, you create an Amazon ECS task definition. A task definition is a blueprint for your application. It is a text file in JSON format that describes the parameters and one or more containers that form your application. For example, you can use it to specify the image and parameters for the operating system, which containers to use, which ports to open for your application, and what data volumes to use with the containers in the task. The specific parameters available for your task definition depend on the needs of your specific application.

After you define your task definition, you deploy it as either a service or a task on your cluster. A cluster is a logical grouping of tasks or services that runs on the capacity infrastructure that is registered to a cluster.

A task is the instantiation of a task definition within a cluster. You can run a standalone task, or you can run a task as part of a service. You can use an Amazon ECS service to run and maintain your desired number of tasks simultaneously in an Amazon ECS cluster. How it works is that, if any of your tasks fail or stop for any reason, the Amazon ECS service scheduler launches another instance based on your task definition. It does this to replace it and thereby maintain your desired number of tasks in the service.

The container agent runs on each container instance within an Amazon ECS cluster. The agent sends information about the current running tasks and resource utilization of your containers to Amazon ECS. It starts and stops tasks whenever it receives a request from Amazon ECS.

After you deploy the task or service, you can use any of the following tools to monitor your deployment and application:

Runtime Monitoring

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The Ultimate Beginner's Guide to AWS ECS

The Ultimate Beginner's Guide to AWS ECS

Mayank Sharma's photo

27 min read

Table of contents

Aws ecs infographic, what are containers, the old way vs. containers, the container magic, how containers work, why containers matter, what is ecs, features of ecs, ecs with ec2, ecs with fargate, choosing the right launch type, niche fact: the power of mixing, namespaces: logical isolation, clusters: where it all begins, task definitions: blueprint for containers, services: the reliable workforce, container instances: the workhorses, ecs agent: the task coordinator, elastic load balancing (elb): the traffic cop.

  • Niche Insight: Dynamic Port Mapping

Scalability: Meet the Demands of Your Workload

Resource optimization: efficiency at its best, integration with aws services: seamless ecosystem, cost-effectiveness: pay only for what you use, portability: flexibility across environments, amazon ecs on aws fargate, amazon ecs on amazon ec2, amazon ecs anywhere, factors affecting pricing, cost optimization strategies, virtual private cloud (vpc) integration, iam roles for tasks, task execution iam role, security groups and network acls, encryption in transit and at rest, amazon ecr security, digital transformation with microservices, e-commerce scalability, cost-effective batch processing, hybrid cloud applications, data analytics at scale, real-time financial services, game server hosting, iot data processing, serverless microservices with fargate, global content delivery, are you interested in more, frequently asked questions.

The internet world runs on containers and Amazon Elastic Container Service is one of the most famous and used orchestration panes for them.

Whether you're a seasoned professional or an ECS novice, this comprehensive guide will equip you with the knowledge and skills to deploy and manage containerized applications with confidence.

No matter your level of experience, whether you're a seasoned professional, a beginner, or completely unfamiliar with ECS, we invite you to explore our comprehensive infographic. This visually engaging resource provides all the vital details you need to know about Amazon ECS.

Amazon ECS - A fully managed container orchestration service.

Prerequisite Knowledge

Before we jump into details, let's explore the essential foundation, covering topics like containerization, resource management, and every key concept that paves the way for your journey with AWS ECS.

Think of containers as magic boxes for software. Each container holds everything a piece of software needs to run smoothly, including the code, libraries, and settings.

Containers are the core building block for many applications.

These containers are like little worlds of their own, isolated from the outside, where your applications can live happily.

Before containers, deploying software was like building a house from scratch every time you wanted to move. It was slow, error-prone, and required lots of effort. With containers, it's more like moving into a fully furnished room. You can pick it up and place it anywhere; it'll work just the same.

Containers make this magic happen through a neat trick called "containerization." It's like putting your software in a protective bubble. Inside this bubble, your software has everything it needs to run without any interference from the outside.

Imagine containers as lunchboxes with layers:

Base Layer (Operating System): This is like the plate at the bottom. It's the foundation that everything sits on.

Application Layer: Your application and its buddies (like libraries) hang out here. This is where the action happens.

Extra Layers: Just like adding toppings on a pizza, you can add extra stuff like configuration files or data.

By breaking things into layers, containers are easier to manage. You can reuse parts of containers, save resources, and keep things tidy.

Containers are superheroes in the software world for a few reasons:

They Keep Things Consistent: With containers, your software behaves the same way no matter where you put it—whether it's on your computer or in the cloud.

They're Safe and Sound: Containers stay isolated, so one container can't mess with another. It's like each container lives in its own little world.

They're Portable: You can easily move containers around. It's like being able to pack up your room and take it with you wherever you go.

They Don't Hog Resources: Containers are light on your computer's memory and CPU, so they don't slow things down.

They Grow and Shrink: You can have more containers when you need them and fewer when you don't. It's like magic!

ECS Fundamentals

Amazon Elastic Container Service (ECS) is a powerful and flexible container orchestration service that Amazon Web Services (AWS) provides. It simplifies containerized applications' deployment, scaling, and management, making it easier for developers to build, package, and run applications in containers. In this chapter, we will explore ECS, its features, and its role in modern cloud computing.

Amazon ECS is a fully managed container orchestration service that allows you to run, stop, and manage Docker containers on a cluster. It takes care of the underlying infrastructure, including the provisioning and scaling of resources, allowing you to focus on your applications. ECS is designed to work seamlessly with other AWS services, providing a comprehensive container management solution.

Container Orchestration

ECS simplifies container orchestration by managing the placement of containers across a cluster of EC2 instances or using the serverless AWS Fargate launch type. It ensures that containers are evenly distributed, highly available, and easily scalable.

Deep Integration with AWS

ECS integrates seamlessly with other AWS services, such as Amazon Elastic Load Balancing (ELB), Amazon VPC, AWS Identity and Access Management (IAM), AWS CloudWatch, and more. This tight integration simplifies tasks like load balancing, security, and monitoring.

Flexibility in Launch Types

ECS offers two launch types: ECS on EC2 and AWS Fargate. ECS on EC2 allows you to manage your own EC2 instances to run containers, providing maximum control and flexibility. AWS Fargate, on the other hand, abstracts the underlying infrastructure, making it a serverless option ideal for simplified deployments.

Scalability

ECS can automatically scale your containerized applications based on defined criteria. You can set up auto-scaling policies to handle traffic spikes or changes in demand, ensuring optimal resource utilization.

Service Discovery

ECS provides service discovery mechanisms, making it easy for containers to discover and communicate with each other using DNS or dynamic port mapping. This simplifies building microservices architectures.

Load Balancing

ECS integrates with Elastic Load Balancing (ELB) to distribute incoming traffic across containers. ELB automatically detects healthy containers and directs traffic to them, improving application availability and fault tolerance.

ECS ensures secure container deployments with features like IAM roles for tasks, task execution roles, and network isolation through Amazon VPC. It also supports integration with AWS Secrets Manager for sensitive data management.

Cost Optimization

You pay only for the computing resources and capacity you use with ECS. Its fine-grained resource allocation and cost management options help optimize your containerized application's operational costs.

Launch Types

Launch types define the underlying infrastructure where your containers run within ECS. AWS ECS provides three primary launch types, each with its unique use cases, advantages, and considerations.

ECS on EC2 operates as the traditional approach to running containers in a familiar server environment. Here's how it works:

EC2 Instances : You provision and manage EC2 instances, which act as your virtual servers. These instances run the ECS agent to facilitate container management.

Task Placement : With ECS on EC2, you have precise control over where your containers execute. You can specify which EC2 instances should host particular tasks, optimizing resource utilization.

Customization : You can customize your EC2 instances to meet specific requirements, such as installing additional software or configuring network settings.

Use Cases : ECS on EC2 suits applications that demand fine-grained control over the underlying infrastructure. It's well-suited for legacy applications, complex networking setups, or situations where you need to run containers on existing EC2 instances.

Considerations : While ECS on EC2 provides flexibility, it also involves more operational overhead, such as managing EC2 instances and handling updates.

AWS Fargate is the "magic" launch type that abstracts away the infrastructure entirely. It's akin to having a container orchestration service without the need to manage servers:

Serverless Containers : With Fargate, you don't need to worry about provisioning or managing EC2 instances. AWS handles all the infrastructure management for you, allowing you to concentrate solely on your containers.

Resource Isolation : Each task in Fargate operates in its isolated environment, ensuring resource separation and enhancing security.

Scalability : Fargate is highly scalable. It automatically scales your tasks based on your application's requirements, ensuring optimal resource utilization.

Use Cases : AWS Fargate is ideal for scenarios where you want to run containers without dealing with server management. It's excellent for modern, microservices-based applications and when you require rapid scaling.

Considerations : While Fargate provides ease of use, it may not be suitable for applications that require extensive customization or rely on specific EC2 instance types.

For using ECS with Fargate, we wrote a detailed article to get you started with everything you need to know .

External is a unique launch type in ECS that allows you to manage containers running outside the ECS ecosystem. With this launch type:

External Resources : You can integrate ECS with external services or resources. This is particularly useful when you have containers running on on-premises servers or other cloud providers.

Hybrid Deployments : External launch type enables hybrid deployments, where some containers run within ECS while others reside externally. This flexibility is valuable in complex architectures.

Integration with External Services: Employ the External launch type when you have containers that cannot be directly managed by ECS due to specific constraints. It also serves well in orchestrating containers across multiple diverse environments.

Amazon ECS Anywhere: Extend the capabilities of external containers by using the External launch type with Amazon ECS Anywhere. This allows you to run containerized applications on your on-premise servers or virtual machines, registered with your Amazon ECS cluster and managed remotely. Useful for maintaining containerized workloads on your own infrastructure, whether on-premises or in a hybrid environment.

AWS Outposts: Consider using the External launch type for AWS Outposts, a fully managed service that extends AWS infrastructure, AWS services, APIs, and tools to virtually any datacenter, co-location space, or on-premises facility for a truly consistent hybrid experience.

Considerations : While the external launch type provides integration possibilities, it involves additional complexity in managing external resources and ensuring compatibility which could be handled by AWS Outpost the fully manage service.

Selecting between ECS on EC2, AWS Fargate, and External hinges on your application's demands.

ECS comes with different launch types that have significant different pricing.

ECS on EC2 offers greater control and customization over your infrastructure. Opt for it when you need precise resource management and compatibility with existing EC2 instances.

AWS Fargate is the choice if you want to focus solely on your containers without concerning yourself with infrastructure management. It's perfect for modern, serverless, and scalable applications.

External is ideal for orchestrating containers running outside the ECS environment. Use it when you need to integrate with external resources or manage hybrid deployments.

One of the remarkable features of ECS is the ability to combine launch types within the same application. Picture running your frontend on Fargate for effortless scaling, your backend on EC2 instances for fine-tuned control, and integrating with external resources where necessary. This flexibility enables you to harness the best of all worlds.

Remember that AWS ECS allows you to mix and match different launch types within a single cluster. You can choose the most suitable launch type for each component of your application, optimizing resource utilization and simplifying management.

Key Components

We will dive deep into the key components that form the backbone of Amazon Elastic Container Service (ECS).

ECS key concepts: Task Definition, Task, Service, and Cluster.

Whether you're just starting your journey with containers or a seasoned AWS explorer, understanding these components is essential for harnessing the full power of ECS.

Namespaces provide a powerful way to isolate and organize your containers and resources within a cluster. They offer:

Isolation : Namespaces allow you to create isolated environments within a cluster, providing logical separation for containers and resources.

Resource Organization : Namespaces help organize your containers and tasks by grouping them based on a common purpose, project, or environment.

RBAC (Role-Based Access Control) : You can implement Role-Based Access Control within namespaces, controlling who can access and manage resources within each namespace.

Namespaces are beneficial when you need to isolate environments, host multiple tenants on a shared cluster, or segregate workloads with different security requirements.

Use Case: Team A can have its namespace for developing a microservices-based application, and Team B can have another namespace for running data processing tasks. This way, each team can work independently, and their containers won't interfere with each other's work. Namespaces provide a structured and organized approach to managing containerized applications within a shared ECS cluster.

Clusters are the foundation of ECS. Think of them as isolated environments where your containerized applications live and operate. Here's a closer look:

Logical Separation : Clusters provide logical separation, allowing you to group related containers together. You can create clusters for different purposes like development, testing, or production.

Resource Management : Within each cluster, you manage the underlying compute resources, such as EC2 instances or AWS Fargate tasks. This helps you efficiently utilize resources while maintaining isolation.

Clusters organize your containers, offering resource isolation and management for different workloads and environments.

Use Case : Imagine you're running a web application with a development environment and a production environment. Clusters keep these environments separate, preventing development changes from affecting production.

Task Definitions serve as blueprints for your containers. They specify how containers should behave when they run in ECS. Key details include:

Container Configuration : Task Definitions define container images, CPU and memory limits, environment variables, and networking settings.

Multi-Container Tasks : You can create tasks with multiple containers that share resources and network space, allowing you to build complex applications.

Task Definitions ensure consistency in container deployments, simplifying the management of complex applications.

Use Case : Suppose you have a microservices-based application. Task Definitions help define how each service's containers should be configured and deployed.

Services in ECS define how many copies of a task should run and ensure they maintain their desired state. They provide reliability for your applications:

Scaling Simplicity : You specify the desired number of tasks to run, and ECS handles automatic scaling, adding or removing tasks as needed.

Traffic Management : Services can be associated with Elastic Load Balancers (ELB), ensuring incoming traffic is evenly distributed across tasks.

Services guarantee high availability and the ability to handle varying workloads while maintaining consistency.

Use Case : Consider a web application. ECS Services can manage the web server containers, ensuring there are always enough to handle incoming requests.

Container Instances serve as the hosts for your containers. They can be either EC2 instances or AWS Fargate tasks. Here's what you should know:

Resource Providers : Container Instances offer the essential computing resources needed to run your containers. Think of them as your containers' home.

ECS Agent : Each Container Instance runs the ECS Agent, a critical software component responsible for task management and resource reporting.

Container Instances abstract the underlying infrastructure, simplifying the deployment and management of your containers.

Use Case : Suppose you have a large-scale application. Container Instances provide the infrastructure needed to deploy and run your containers efficiently.

The ECS Agent is like a conductor for your container tasks. It resides on Container Instances and takes care of several important tasks:

Task Management : The ECS Agent handles starting, stopping, and monitoring your containers according to the Task Definitions you provide.

Resource Reporting : It sends valuable resource utilization metrics to ECS, helping with intelligent task placement decisions.

The ECS Agent ensures that your containers run correctly and efficiently, making it a crucial part of the ECS ecosystem.

Use Case : In a dynamic environment with frequently changing workloads, the ECS Agent ensures containers are always in the desired state.

Elastic Load Balancing plays a pivotal role in ECS by distributing incoming traffic across multiple tasks, ensuring high availability and load balancing:

Application Load Balancers : ECS can automatically link tasks to Application Load Balancers, ensuring traffic goes to healthy containers.

Network Load Balancers : For tasks with high network demands, Network Load Balancers can be used.

ELB enhances the availability and reliability of your applications by routing traffic to the right places, ensuring scaling and redundancy.

Use Case : In a microservices architecture, ELB ensures that client requests are distributed across all instances of a service for optimal performance and availability.

Niche Insight : Dynamic Port Mapping

ECS offers dynamic port mapping, which allows multiple containers of the same task to run on a single EC2 instance. ECS automatically assigns unique host port numbers, simplifying networking setup and avoiding conflicts.

With these foundational components, you have a solid understanding of ECS's inner workings. These elements work together seamlessly to provide a robust and scalable platform for running containerized applications in the AWS cloud.

Key Benefits

We'll explore the myriad benefits of Amazon Elastic Container Service (ECS), which make it a compelling choice for deploying and managing containerized applications. Whether you're focused on scalability, resource efficiency, integration, cost-effectiveness, or portability, ECS has got you covered.

ECS offers a range of features that allow your applications to scale seamlessly:

Auto Scaling : ECS can automatically scale the number of tasks up or down based on your application's needs. This ensures that your services are always responsive, even during traffic spikes.

Service Auto Scaling : With Service Auto Scaling, you can define scaling policies based on CloudWatch metrics. ECS will adjust the desired task count according to your predefined rules.

Load Balancer Integration : When used with Elastic Load Balancers (ELB), ECS can distribute incoming traffic across your tasks, effectively balancing the load and preventing overloading.

Use Case : Imagine an e-commerce website that experiences increased traffic during holiday seasons. ECS's scalability ensures that additional instances of your application are automatically spun up to handle the load, ensuring a smooth shopping experience for users.

Efficiently utilizing computing resources is crucial for both performance and cost-effectiveness:

Task Placement Strategies : ECS allows you to define task placement strategies, such as binpacking and spread, to optimize the distribution of tasks across your cluster's resources.

Fine-Grained Control : You can specify the exact amount of CPU and memory resources each container needs. ECS ensures that resources are allocated as efficiently as possible, reducing waste.

Task Scheduling : ECS uses a task scheduler that places tasks on instances based on your constraints and resource requirements.

Use Case : In a cluster with mixed workloads, resource optimization ensures that tasks with high resource demands are placed on instances with available resources, avoiding resource contention.

ECS is deeply integrated with other AWS services, creating a seamless ecosystem:

CloudWatch Integration : Monitor your ECS resources using Amazon CloudWatch, enabling real-time visibility into your containerized applications' performance and resource utilization.

VPC Networking : ECS leverages Amazon Virtual Private Cloud (VPC) for secure and isolated network communication, giving you control over the network configuration.

IAM Role Integration : ECS tasks can assume IAM roles, allowing you to securely interact with other AWS services, such as S3, RDS, or DynamoDB, without hardcoding credentials.

Use Case : When building data processing pipelines, ECS can seamlessly interact with AWS Glue, Amazon S3, and Amazon Redshift, ensuring data flows efficiently from source to destination.

ECS follows a pay-as-you-go model, where you're charged only for the compute resources and services you use:

Resource Allocation : By accurately defining resource requirements, ECS avoids over-provisioning, reducing unnecessary costs.

Service Auto Scaling : ECS's automatic scaling ensures you're using the right amount of resources at any given time, preventing both underutilization and overutilization.

Spot Instances : You can leverage Amazon EC2 Spot Instances with ECS to further optimize costs by using spare EC2 capacity at lower prices.

Use Case : For batch processing tasks that can be interrupted, using Spot Instances with ECS can significantly reduce compute costs while meeting processing deadlines.

ECS allows you to run containers consistently across different environments:

DevOps Workflow : Develop your applications on local containers and easily transition them to ECS in production, ensuring consistency from development to deployment.

Multi-Cloud Deployment : ECS provides flexibility if you need to deploy across multiple cloud providers or on-premises, thanks to its compatibility with Docker standards.

Use Case : You develop a new feature using containers on your local machine. ECS's portability ensures that the same containers work seamlessly when deployed in your production ECS cluster.

As you can see, ECS offers a rich set of benefits that cater to different aspects of container management. Whether you're aiming for efficient resource utilization, cost savings, or the ability to seamlessly integrate with other AWS services, ECS empowers you to build and run containerized applications with confidence.

Pricing Models

Amazon Elastic Container Service (ECS) offers flexible pricing models for different use cases and preferences.

Cost factors that determine your bill for ECS.

Understanding the pricing options helps you manage your containerized workloads cost-effectively.

AWS Fargate is a serverless compute engine for containers, providing an efficient and simplified way to manage container workloads. With Fargate pricing, you pay only for the vCPU and memory resources consumed by your tasks. Here's what you should know:

Resource-Based Billing : Fargate pricing is resource-centric, meaning you're billed for the CPU and memory your tasks use rather than the underlying infrastructure. This eliminates the need to manage EC2 instances.

Cost Savings : Fargate abstracts the infrastructure layer, allowing you to focus solely on your containers. It's an excellent choice for applications with dynamic resource requirements, as you pay only for what you consume.

If you want to jump into detail about this, have a read off our in-depth article on ECS pricing .

When you choose to run Amazon ECS tasks on Amazon EC2 instances, the pricing model is based on EC2's compute capacity. Key points to consider include:

Instance Type : The choice of EC2 instance type significantly influences pricing. Different instance types offer varying CPU, memory, and GPU capabilities, allowing you to select the best fit for your workloads.

Reserved Instances : To save costs, you can opt for Amazon EC2 Reserved Instances, which provide discounted pricing for a one- or three-year commitment. This is an effective cost-optimization strategy for predictable workloads.

Data Transfer Costs : Keep in mind that data transfer costs apply when data moves between AWS regions or leaves the AWS network. Efficiently managing data transfer can lead to significant savings.

Amazon ECS Anywhere extends the capabilities of ECS to run container workloads on your on-premises infrastructure. While ECS Anywhere itself is a feature of ECS, the pricing considerations are connected to the underlying resources you use, such as your on-premises servers.

On-Premises Infrastructure : ECS Anywhere doesn't introduce additional charges beyond what you incur for your on-premises infrastructure. Your pricing is tied to the hardware and networking resources you manage locally.

Hybrid Deployments : ECS Anywhere allows you to seamlessly manage containerized applications across AWS and your on-premises data centers. You can leverage existing investments while benefiting from AWS cloud capabilities.

Understanding the pricing models in detail for Amazon ECS is essential for optimizing costs and ensuring your containerized workloads align with your budgetary requirements. Depending on your use case, you can choose between AWS Fargate for serverless simplicity, EC2 for fine-grained control, or ECS Anywhere for hybrid deployments. Evaluating your workload's resource needs and usage patterns will help you select the most cost-effective option.

Several factors influence the cost of running containers on ECS:

Instance Type : For EC2-based ECS, the choice of instance type significantly impacts pricing. Different instance types come with varying CPU and memory capacities.

Reserved Instances : If you opt for EC2 instances, you can save costs by using Amazon EC2 Reserved Instances, which provide discounted pricing for a one- or three-year commitment.

Data Transfer Costs : Data transfer costs apply when data moves between AWS regions or leaves the AWS network. Efficiently managing data transfer can lead to significant savings.

Elastic Load Balancing : If you use Elastic Load Balancing (ELB) with ECS, be aware of ELB pricing based on the number of Application Load Balancers or Network Load Balancers you use.

AWS Fargate Resource Consumption : With Fargate, pricing depends on the vCPU and memory allocated to your tasks. Optimizing resource allocation ensures cost efficiency.

Cost optimization is a critical aspect of managing containerized workloads in Amazon Elastic Container Service (ECS). Implementing cost-effective practices can help organizations maximize their resources and minimize unnecessary spending. In this section, we'll explore some strategies for optimizing costs in ECS:

Right-Sizing Container Resources - Analyze your container resource requirements to avoid over-provisioning. ECS allows you to specify CPU and memory limits for each container. Adjust these limits based on your application's actual resource needs.

Utilize Spot Instances - Leverage Amazon EC2 Spot Instances for tasks that can tolerate interruptions. Spot Instances can significantly reduce compute costs compared to On-Demand Instances, making them ideal for fault-tolerant workloads.

Implement Auto Scaling - Configure Auto Scaling for your ECS services to automatically adjust the number of tasks based on demand. This ensures you have the right number of containers running at all times, minimizing idle resources.

Scheduled Scaling - Use scheduled scaling to adjust the desired task count based on anticipated traffic patterns. Scale up during peak hours and scale down during periods of lower demand.

Use Amazon Fargate for Serverless Workloads - Consider AWS Fargate for serverless container execution. With Fargate, you pay only for the vCPU and memory used by your tasks, eliminating the need to manage underlying EC2 instances.

Multi-Stage or Layered Images - Implement multi-stage or layered Docker images to reduce the size of the final image. This minimizes the amount of data transferred and stored, reducing costs associated with image storage and network data transfer.

Elastic Load Balancing (ELB) Optimization - Optimize your use of Elastic Load Balancers. Consider using Application Load Balancers (ALBs) over Classic Load Balancers when possible, as ALBs are more cost-effective and offer advanced routing features.

Reserved Instances (RIs) - Reserve Amazon EC2 instances for long-term workloads with predictable traffic. RIs offer substantial cost savings compared to On-Demand Instances.

Container Instance Rebalancing - Enable container instance rebalancing in your ECS clusters. This feature redistributes tasks evenly among instances, optimizing resource utilization.

Monitoring and Cost Analysis - Regularly monitor your ECS clusters and services to identify cost anomalies. Utilize AWS Cost Explorer and AWS Trusted Advisor to gain insights into your container-related costs.

Resource Tagging - Implement resource tagging to track costs by project, department, or environment. This helps in cost allocation and identifying cost centers.

Review and Optimize Reserved Capacity - Periodically review your EC2 Reserved Instances and make adjustments as your container workloads evolve. Modify or sell unused RIs to align with your current needs.

Cost Control Policies - I mplement cost control policies to enforce spending limits and prevent unexpected cost spikes. AWS Budgets and AWS Organizations can assist in cost management.

By applying these cost optimization strategies, organizations can effectively manage their ECS workloads while minimizing unnecessary expenses. Continuously reviewing and adjusting your container resources and infrastructure can lead to substantial cost savings over time.

Security Features

Security is a top priority when it comes to containerized applications. We will explore the robust security features that Amazon Elastic Container Service (ECS) offers to help you safeguard your container workloads on AWS.

ECS allows you to launch containers within your own Virtual Private Cloud (VPC), providing network isolation and control. This ensures that your containers can communicate securely and avoids exposing them directly to the public internet.

Use Case : Running containers in a VPC is ideal for hosting sensitive applications or services that require restricted network access.

ECS enables you to assign AWS Identity and Access Management (IAM) roles to tasks. This means your containers can securely interact with other AWS services without hardcoding AWS credentials. IAM roles for tasks ensure that only authorized actions are performed.

Use Case : You have an ECS task that needs to write data to an S3 bucket. By attaching an IAM role to the task, you can grant it the necessary permissions to interact with S3 securely.

ECS allows you to define a task execution role, separate from the task role. The task execution role is assumed by the ECS service and provides it with permissions to manage tasks on your behalf. This separation enhances security by limiting the permissions of your running tasks.

Use Case : You want to restrict the ECS service's capabilities to start and stop tasks without granting access to sensitive AWS resources.

You can apply security groups and network access control lists (ACLs) to your ECS tasks and container instances. Security groups act as firewalls at the instance level, while network ACLs provide network-level security. By configuring these, you control inbound and outbound traffic.

Use Case : Implementing security groups and network ACLs ensures that only authorized traffic is allowed to and from your containers, enhancing network security.

ECS supports encryption in transit using protocols like TLS/SSL, ensuring secure communication between containers and services. Additionally, data stored in ECS-managed services like Amazon EFS or Amazon RDS can be encrypted at rest for added data protection.

Use Case : When dealing with sensitive data, encrypting communication and storage is essential to prevent data breaches.

Amazon Elastic Container Registry (ECR), often used with ECS, provides robust security features for container images. These include image scanning for vulnerabilities, encryption of images at rest, and fine-grained access control.

Use Case : Securely storing and distributing container images is crucial for maintaining the integrity of your containerized applications.

By leveraging these security features, you can enhance the protection of your container workloads on ECS.

Amazon Elastic Container Service (ECS) is a versatile and scalable container orchestration platform that finds applications in various industries and use cases.

Case Study : Netflix

Description : Netflix, a leading streaming service, utilizes ECS to manage its vast microservices architecture. ECS allows Netflix to efficiently deploy and scale microservices, ensuring a seamless streaming experience for millions of users.

Case Study : Amazon

Description : Amazon, the world's largest e-commerce platform, relies on ECS to handle its dynamic workloads during peak shopping seasons, like Prime Day and Black Friday. ECS enables Amazon to scale resources as needed to meet high customer demand.

Case Study : Samsung

Description : Samsung leverages ECS to process large-scale batch jobs for tasks such as image rendering and data analysis. By dynamically allocating resources with ECS, Samsung optimizes costs while ensuring efficient job completion.

Case Study : Capital One

Description : Capital One uses ECS to manage hybrid cloud applications, seamlessly running containers both on-premises and in the cloud. ECS ensures consistency and scalability across its hybrid infrastructure.

Case Study : Expedia

Description : Expedia, a global travel company, employs ECS for running containerized data analytics workloads. ECS helps Expedia process and analyze vast amounts of data, enabling smarter business decisions.

Case Study : Robinhood

Description : Robinhood, a financial services company, relies on ECS for its real-time stock trading platform. ECS ensures low-latency, high-availability services, allowing Robinhood to meet the demands of its users.

Case Study : Electronic Arts (EA)

Description : EA, a leading video game company, utilizes ECS to host multiplayer game servers. ECS provides the scalability and reliability required for multiplayer gaming experiences.

Case Study : Philips

Description : Philips employs ECS for processing data generated by healthcare IoT devices. ECS enables Philips to analyze patient data in real-time, improving healthcare outcomes.

Case Study : iRobot

Description : iRobot, the maker of the Roomba vacuum, adopts AWS Fargate within ECS to build serverless microservices. Fargate allows iRobot to focus on application logic without managing the underlying infrastructure.

Case Study : Airbnb

Description : Airbnb uses ECS to distribute content globally. ECS facilitates the deployment of containerized content to edge locations, ensuring fast and reliable access for users worldwide.

These real-world case studies demonstrate the versatility and effectiveness of Amazon ECS in a wide range of industries and applications. Whether you're a streaming giant, a financial services provider, or an e-commerce platform, ECS can help you optimize your containerized workloads and accelerate your digital transformation journey.

In conclusion, AWS ECS is a powerful container orchestration service that simplifies deploying, scaling, and managing containerized applications.

With its robust security features, flexible launch types, and seamless integration with other AWS services, it caters to various use cases and workloads.

By understanding its key components, benefits, pricing models, and cost optimization strategies, you can harness the full potential of ECS to build and run containerized applications with confidence.

Head over to our bi-weekly newsletter or check out the following blog posts:

AWS App Runner: The Easy Way to Run Your Containers

A Simple Breakdown of Amazon ECS Pricing

ECS on Fargate: The Greatest Services to Run Your Containers

What is the difference between Amazon ECS and Amazon EKS? Amazon ECS and Amazon EKS (Elastic Kubernetes Service) are both container orchestration services, but they serve different container management needs. ECS is simpler to set up and manage, making it a good choice for users new to container orchestration. EKS, on the other hand, is a managed Kubernetes service and provides more advanced features and flexibility for users who prefer Kubernetes.

How do I choose between ECS on EC2 and AWS Fargate? The choice between ECS on EC2 and AWS Fargate depends on your specific requirements. ECS on EC2 gives you more control over the underlying infrastructure and is suitable for applications with custom networking or specific hardware requirements. AWS Fargate abstracts infrastructure management, making it easier to run containerized workloads without worrying about servers.

Can I run Windows containers on Amazon ECS? Yes, Amazon ECS supports both Linux and Windows containers. You can choose the appropriate task definition launch type to run Windows containers alongside Linux containers in the same ECS cluster.

How does ECS handle load balancing? ECS integrates with Elastic Load Balancing (ELB) services. You can configure an Application Load Balancer or Network Load Balancer to distribute incoming traffic across your ECS tasks. This ensures that traffic is evenly distributed and that your containers can scale horizontally to handle increased loads.

How do I secure my containers in ECS? You can secure your ECS containers by using Amazon VPC for network isolation, IAM roles for tasks to manage permissions, and security groups and network ACLs to control traffic. Additionally, ECS integrates with Amazon ECR for secure container image storage and Amazon EKS for advanced security features when needed.

What are the benefits of using ECS over traditional EC2 instances? ECS offers benefits such as scalability, resource optimization, simplified management, cost-effectiveness, and deep integration with other AWS services. Containers can start and stop quickly, enabling efficient resource usage and faster deployments compared to traditional VMs.

Can I run multi-container applications in ECS? Yes, ECS supports multi-container applications. You can define task definitions with multiple containers that share the same resources, such as CPU and memory. This is useful for deploying sidecar containers, logging agents, or additional application components.

How can I optimize ECS costs? To optimize ECS costs, choose the right instance types, use AWS Fargate for serverless deployments, leverage Amazon EC2 Spot Instances for cost-effective comput ing , implement auto-scaling based on traffic patterns, and regularly monitor and analyze your ECS costs using AWS Cost Explorer and CloudWatch.

Can I use ECS to deploy applications in a hybrid or multi-cloud environment? Yes, ECS provides flexibility and portability for deploying containerized applications. You can run ECS containers on AWS as well as in on-premises environments or other cloud providers, allowing you to adopt a hybrid or multi-cloud strategy while using the same container orchestration service.

Can I run containers in a Virtual Private Cloud (VPC) with Amazon ECS? Yes, ECS allows you to launch containers within your own Virtual Private Cloud (VPC), providing network isolation and control.

AWS re:Post

Task to task communication with ECS

I have a task definition which spins up 2 webservers with stateful (sticky) websockets. In front of it a load balancer is present. How would I communicate from 1 webserver to another (task-to-task communication)?

I read about Service Connect/Discovery. AFAIK this is for Service-to-service communication. Currently I am reading out the private IPv4 address and communicate over that IP address, that works. Does that IP address change in a running task?

  • Most comments

Service Discovery is the correct route, it will allow you to manage the DNS and namespaces for your ECS Tasks. IP to IP will become a problem to keep track of as these will change if a Task, which can be done through application by querying for task's ip but that add more lift to application side.

Note: Service discovery supports the A and SRV DNS record types. DNS records are automatically added or removed as tasks start or stop in the Amazon ECS service. Tasks or applications that need to connect to your Amazon ECS service can locate an existing task from the DNS record. https://aws.amazon.com/blogs/aws/amazon-ecs-service-discovery/

Thanks for your answer. I have one more question from your answer. When will an IP address change of a task?

IP will change when tasks goes through lifecycle[1], this could be do to a voluntary change or involuntary change. Voluntary being change to task definition to deploy new version of task so tasks will be drained and re-deployed or stop/start of a standalone task, or involuntary a task become unhealthy and needs to be rescheduled. As well this may not be as obvious if you aren't using awsvpc networking mode, cause with bridge or host it will be using the worker node (container instance) IP. [2]

[1] https://docs.aws.amazon.com/AmazonECS/latest/developerguide/task-lifecycle.html [2] https://docs.aws.amazon.com/AmazonECS/latest/developerguide/task-networking.html

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Private: Meet the Galaxy Tab Active5: A device built to keep up with your workday in retail

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How to boost productivity with the S Pen on your Galaxy S24 Ultra

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Your guide to Samsung’s Galaxy A series devices

How galaxy ai translation is enabling borderless communication in business.

Communication is key to every business conversation, task and transaction. When business crosses borders, whether virtually or in person, a language barrier can impede communication or, worse, create a miscommunication.

Artificial intelligence (AI) is helping to break down language barriers — after all, the leading AI tools are built on large language models that can understand, interpret and generate human-like text across many languages and contexts. Introduced at the January 2024 Galaxy Unpacked event , Samsung’s new Galaxy AI is leading the way in bringing AI-powered, near-real-time translation to business-ready mobile devices in the Samsung Galaxy S24 Series. The Live Translate feature on the S24 Series is already making a big impact in many ways.

Live Translate at a glance

Before exploring specific use cases for AI translation on the Galaxy S24 Series, it’s helpful to understand how the new Live Translate feature works. Live Translate automatically translates voice calls and text messages as they are taking place. On a phone call, translations come through both audibly and on-screen after each person speaks. In text messages, translations are shown below each sent and received message.

For example, if you’re in a meeting with colleagues or clients who don’t speak the same language, simply pull up Live Translate on your S24 Series device to translate and communicate seamlessly.

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Live Translate debuted in Galaxy S24 devices with native call and message app support for 13 languages. Learn how to quickly enable Live Translate before a phone call or during a text message exchange on the Galaxy S24 , S24+ or S24 Ultra . The feature remembers the preferred language settings for each contact after the initial setup for that contact.

Retail customer assistance

Live Translate is easy and reliable to use in conversation — that’s what makes it so powerful. The ability to translate from one language to another isn’t necessarily all that new on the internet, but the ability to do so in near real time, with minimal manual input, on a mobile device, is truly game-changing for many industries and functions.

For example, in retail, language barriers can make it difficult for customer service representatives to assist retail customers with questions or troubleshooting. With either or both a rep and customer using AI translation during a voice call, the conversation can go smoothly regardless of the different languages being spoken. The result is likely a better experience for the customer and increased loyalty for the brand. In retail and even hospitality, Live Translate can also enhance inbound phone order and reservation handling, deliveries, and just about any touch point along the communication chain.

Professional services

Financial professionals, such as advisors, bankers and investment analysts, often engage with a global clientele. In these arenas, Live Translate can help ensure complex terminology and nuances are accurately conveyed and understood by all parties. This capability not only streamlines the consultation process but also instills confidence in clients who may prefer to communicate in their native language. In an industry where timely and accurate information is crucial, Galaxy AI’s ability to convert spoken and written language on the spot can also expedite cross-border transactions and negotiations.

Field technicians can benefit from Live Translate as well. With the feature enabled, they can provide clear communication on-site with customers, while breaking through any language barriers as part of a mobile-first experience.

Business travel

For business travelers, Live Translate is like having a personal interpreter in your pocket. Imagine you’re in a taxi heading to a crucial meeting in a country where you don’t speak the language. With Live Translate, you can effortlessly communicate with your driver while in the car to confirm your destination or make last-minute changes to your route, ensuring you arrive on time and stress-free. Or picture trying to coordinate a meeting spot with a local business partner via text. Language differences could easily lead to confusion and delays, but with Live Translate, your messages are instantly translated, allowing for clear, effective communication. AI translation ensures logistical details are ironed out swiftly, leaving more time for what’s important: your business objectives and working relationships.

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Internal collaboration

Internal collaboration is pivotal for the success of any organization, especially for those operating across international locations. With teams often working in silos due to language differences, Live Translate can bring an entirely new dimension of collaboration to a company .

For example, consider a scenario where a project team in Japan needs to discuss the specifications of a new product with their counterparts in Germany. With Live Translate, they can conduct phone meetings and exchange text messages in Japanese and German, respectively, while the back-and-forth is accurately translated instantly.

For another example, say a quick consensus is needed between teams in Brazil and France before engaging a service provider. Live Translate can facilitate real-time text exchanges or conference calls, enabling each party to contribute in their native language. This can speed up the decision-making process while creating a virtual space where every opinion is heard and valued, fostering diversity and inclusion within the organization.

New opportunities, stronger relationships

At the end of the day, business revolves around opportunities, and opportunities stem from relationships. Until now, opportunities and relationships alike have been somewhat limited to situations where people speak the same language. With the Live Translate feature on the Galaxy S24 Series, the whole world opens up for leaders, colleagues, prospects, clients, vendors and industry partners from diverse locales and cultures to communicate more seamlessly.

Purchase your Galaxy S24 Series here , and enjoy exclusive volume pricing, bulk trade-in discounts, free shipping and more with a Samsung Business Account including 50% off Samsung Care+ and a free case.

Daniel Gordon

Daniel Gordon

Daniel Gordon became a full-time freelancer in 2015 after spending several years as an in-house and agency copywriter. His marketing experience spans from Fortune 500 companies and Forbes World's Most Valuable Brands to small businesses, startups and marketing agencies. Before he entered the marketing world, Daniel worked in the music business as a manager to producers and songwriters, and as an A&R/talent scout.

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Murrow College names news organizations to host inaugural Murrow Fellows

Washington State University logo.

PULLMAN, Wash. — More than a dozen news organizations in nine regions have been selected to host the inaugural cohort of Murrow News Fellows, a two-year appointment designed to strengthen local newsrooms and better inform underserved communities in Washington state.

A team of evaluators selected the news outlets after a review of proposals and interviews with newsroom leaders over the past two months.

“With 40 newsroom applications, it was a very difficult decision,” said Jody Brannon, Murrow News program manager. “The evaluation team worked hard work to narrow the list, given the very compelling proposals to enhance the information needs across many communities in all corners of the state.”

Fellows in the program, operated by the Murrow College of Communication, will be employed by Washington State University and live in the communities to which they are assigned.

The newsrooms include several innovative partnerships across digital, broadcast and print publications. The selected sites:

  • Inland Empire: Joint proposal from KHQ, broadcasting from Spokane, and KNDU, whose coverage area reaches residents in Tri-Cities and Yakima, to focus on housing, civic health, and agriculture. Issues facing Okanogan, Grant, and Douglas counties.
  • Long Beach: The Chinook Observer will expand coverage of economically disadvantaged rural people — particularly its immigrant and Indigenous neighbors. This will include detailed examination of housing, environmental, social, and regulatory factors that influence overall community health.
  • Spokane: Joint proposal from Spokane Public Radio and The Spokesman-Review to increase coverage of public policy on rural Eastern Washington residents, including infrastructure, rural economies, agriculture and environmental issues, healthcare and education.
  • Tacoma: Proposal from the Tacoma News Tribune to expand coverage of public policy, economy, and plights of unhoused and homeless people in Tacoma and Pierce County.
  • Tri-Cities : Proposal from the Tri-City Herald to increase coverage of the Hispanic and Latinx communities in the Mid-Columbia and Lower Yakima Valley, including civic life, agriculture, food processing industry, and other statewide issues.
  • Vancouver/Longview: Joint proposal from the Vancouver Columbian and The Daily News in Longview to expand on coverage of the Columbia River corridor including water rights, tribal issues, hydropower, and environmental issues along the 1,243-mile river.
  • Wenatchee: Joint proposal from The Wenatchee World and Northwest Public Broadcasting to increase bilingual coverage of civic and municipal issues in Wenatchee, East Wenatchee, and surrounding rural communities.
  • West Sound: Joint proposal from Gig Harbor Now and The Kitsap Sun to expand coverage of local government, including health care, drug addiction, and mental health in Kitsap County’s rural, suburban, and urban communities.
  • Yakima: Joint proposal from The Yakima Herald-Republic and El Sol de Yakima to increase coverage of municipal, county, state, and federal government issues in smaller communities in central Washington. Certain articles likely will be shared with the Walla Walla Union-Bulletin and The Seattle Times, the Herald-Republic’s sister newspapers.

Through the state’s investment in the Murrow News Fellowship program, Washington has positioned itself as a national leader in creative solutions to help keep its local communities informed. The first cohort of Murrow News Fellows , currently in the interview process, are expected to be working in their assigned newsroom by April; the remaining seven reporters are likely to be placed by summer.

“We view this program as a small but critical part of maintaining the state’s news infrastructure until the financial precarity of news organizations subsides,” said Ben Shors, Murrow chair of Journalism and Media Production. “Over the past eight months, we have spoken to dozens of news organizations, journalists, and community leaders, and the responses have been sobering. From urban centers to rural communities, the need for reliable local information is clear. Our responsibility is to ensure good stewardship of this program, to engage with reporters, editors, and publishers, and to direct a program with the flexibility to be responsive to a rapidly evolving media landscape.”

The selection team for the News Fellows program comprised Shors, Brannon, and three professionals: broadcaster Enrique Cerna , television reporter  Holly Menino , and retired newspaper executive  Julie Shirley .

Media Contacts

  • Anna Wheatley , Edward R. Murrow College of Communication , 509-335-3850 , [email protected]
  • Jody Brannon , Edward R. Murrow College of Communication , 301-537-5011 , [email protected]

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Task definition use cases

Learn more about how to write task definitions for various AWS services and features.

Depending on your workload, there are certain task definition parameters that need to be set. Also for the EC2 launch type, you have to choose specific instances that are enginnered for the workload.

  • Working with GPUs on Amazon ECS
  • Using video transcoding on Amazon ECS
  • Using AWS Neuron on Amazon Linux 2 on Amazon ECS
  • Using deep learning DL1 instances on Amazon ECS
  • Working with 64-bit ARM workloads on Amazon ECS
  • Using the awslogs log driver
  • Using custom log routing
  • Private registry authentication for tasks
  • Use task definition parameters to pass environment variables to a container
  • Use a file to pass environment variables to a container
  • Passing sensitive data to a container

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IMAGES

  1. Resilient task scheduling with ECS Fargate

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  2. How to Create an ECS Cluster and Task using the ECS CLI

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  3. Running an ECS Task on Each Cluster Machine

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COMMENTS

  1. Allow communication between tasks in Amazon ECS Services

    English AWS OFFICIAL Updated 4 years ago I want to allow the tasks in my Amazon Elastic Container Service (Amazon ECS) services to communicate with each other.

  2. Networking between Amazon ECS services in a VPC

    When you use Service Connect, ECS manages all of the parts of service discovery: creating the names that can be discovered, dynamically managing entries for each task as the tasks start and stop, running an agent in each task that is configured to discover the names.

  3. ECS

    1 No you don't need a private LB for that. It is an option you can use but ECS has since introduced the concept of Service Discovery for back-end services.

  4. Task networking for tasks on Amazon EC2 instances

    The networking behavior of Amazon ECS tasks that are hosted on Amazon EC2 instances is dependent on the network mode that's defined in the task definition. We recommend that you use the awsvpc network mode unless you have a specific need to use a different network mode. The following are the available network modes.

  5. Service Connect

    Amazon ECS Service Connect provides management of service-to-service communication as Amazon ECS configuration. It does this by building both service discovery and a service mesh in Amazon ECS. This provides the complete configuration inside each Amazon ECS service that you manage by service deployments, a unified way to refer to your services within namespaces that doesn't depend on the ...

  6. New

    ECS Service Connect provides an easy network setup and seamless service communication deployed across multiple ECS clusters and virtual private clouds (VPCs). You can add a layer of resilience to your ECS service communication and get traffic insights with no changes to your application code.

  7. Task Networking in AWS Fargate

    The first step to running any application in Fargate is defining an ECS task for Fargate to launch. A task is a logical group of one or more Docker containers that are deployed with specified settings. When running a task in Fargate, there are two different forms of networking to consider: Container (local) networking External networking

  8. What is Amazon Elastic Container Service?

    A task is the instantiation of a task definition within a cluster. You can run a standalone task, or you can run a task as part of a service. You can use an Amazon ECS service to run and maintain your desired number of tasks simultaneously in an Amazon ECS cluster. How it works is that, if any of your tasks fail or stop for any reason, the ...

  9. Communication between containers in ECS task definition

    The linking concept is only valid in case of AWS ec2 type service, you can not use linking in awsvpc network mode. linking between task is only allowed in that container which is part of the same task definition, it mean you should run two containers in the same task definition to create linking which similar to docker-compose.

  10. Enabling service-to-service communication using Amazon ECS Service

    Amazon ECS manages the configuration of this container, only task CPU and memory limits can be set up in the task definition. Amazon ECS recommends 256 CPU units and at least 64 MiB of memory to your task CPU and memory for the Service Connect proxy container. Service Connect Observability in ECS and CloudWatch

  11. AWS ECS: A Beginner's Guide

    Task Definitions: Blueprint for Containers Services: The Reliable Workforce Container Instances: The Workhorses ECS Agent: The Task Coordinator Elastic Load Balancing (ELB): The Traffic Cop Niche Insight: Dynamic Port Mapping Key Benefits Scalability: Meet the Demands of Your Workload Resource Optimization: Efficiency at Its Best

  12. Best Practices

    Best Practices - Running your application with Amazon ECS PDF RSS Before you run an application using Amazon Elastic Container Service, make sure that you understand how the various aspects of your application work with features in Amazon ECS.

  13. Using AWS ECS Service Discovery for communication between ...

    First some backdrop on AWS ECS Services. AWS ECS Tasks allow us to run dockerized applications within AWS Cloud. However for building reliable applications & Microservices, we need to be able to ...

  14. Task to task communication with ECS : r/aws

    Task to task communication with ECS I have a task definition which spins up 2 webservers with stateful (sticky) websockets. In front of it a load balancer is present. How would I communicate from 1 webserver to another (task-to-task communication)? I read about Service Connect/Discovery. AFAIK this is for Service-to-service communication.

  15. Task to task communication with ECS

    Task to task communication with ECS. 0. I have a task definition which spins up 2 webservers with stateful (sticky) websockets. In front of it a load balancer is present. How would I communicate from 1 webserver to another (task-to-task communication)? I read about Service Connect/Discovery. AFAIK this is for Service-to-service communication.

  16. Reconfigurable Intelligent Surface assisted Integrated Sensing

    This paper investigates a reconfigurable intelligent surface (RIS)-assisted integrated sensing, communication, and computation (ISCC) system. In this paradigm, the integrated sensing and communication (ISAC)-enabled user equipments (UEs) simultaneously detect the target and offload the computational tasks of radar sensing to the edge computing server (ECS) through their communication ...

  17. 8 Ways To Improve Your Communication So It Doesn't Derail ...

    Good communication skills can also help you get hired. In fact, 28% of jobs include strong communication capability as a critical factor to being considered for hire, according to data from Adzuna

  18. Network security

    With Amazon ECS, network encryption can be implemented in any of the following ways. With a service mesh (TLS): With AWS App Mesh, you can configure TLS connections between the Envoy proxies that are deployed with mesh endpoints. Two examples are virtual nodes and virtual gateways.

  19. How Galaxy AI translation is enabling borderless communication in

    Field technicians can benefit from Live Translate as well. With the feature enabled, they can provide clear communication on-site with customers, while breaking through any language barriers as part of a mobile-first experience. Business travel. For business travelers, Live Translate is like having a personal interpreter in your pocket.

  20. What is the difference between a task and a service in AWS ECS?

    A Task Definition is a collection of 1 or more container configurations. Some Tasks may need only one container, while other Tasks may need 2 or more potentially linked containers running concurrently. The Task definition allows you to specify which Docker image to use, which ports to expose, how much CPU and memory to allot, how to collect ...

  21. How to communicate between containers in the same task in AWS ECS?

    How to communicate between containers in the same task in AWS ECS? Asked Viewed Part of AWS Collective 4 I have a service-A with a task definition task-A that includes multiple container definitions, for example nginx and grafana. How can these containers communicate with each other? The network used is the default bridge network.

  22. Murrow College names news organizations to host inaugural Murrow

    By Communications staff, Washington State University PULLMAN, Wash. - More than a dozen news organizations in nine regions have been selected to host the inaugural cohort of Murrow News Fellows, a two-year appointment designed to strengthen local newsrooms and better inform underserved communities in Washington state.

  23. UAE Removed From Watchdog's Dirty Money List in Fast Turnaround

    The United Arab Emirates was removed from a global watchdog's "gray list" on Friday, less than two years after the Gulf state's demotion, capping a push by local authorities to clamp down ...

  24. Amazon ECS task definitions

    Developer Guide Amazon ECS task definitions PDF RSS A task definition is a blueprint for your application. It is a text file in JSON format that describes the parameters and one or more containers that form your application. The following are some of the parameters that you can specify in a task definition:

  25. Containers communications in aws ecs

    Containers communications in aws ecs. I have a task definition that contains 4 containers and they need to communicate with each other. I already tried to use the name of the container (passer by environment variable) to try to get them to communicate, but it didn't work. With that in mind I don't think using the repository name (ECR) will work.

  26. Task definition use cases

    Task definition use cases PDF RSS Learn more about how to write task definitions for various AWS services and features. Depending on your workload, there are certain task definition parameters that need to be set. Also for the EC2 launch type, you have to choose specific instances that are enginnered for the workload. Topics

  27. Namibia Added to Global Compliance Watchdog Gray List

    Namibia has been placed on a global financial watchdog's "gray list" due to its shortcomings in tackling illicit financial flows, a move that comes as the country courts foreign capital to ...