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Found 25 results

  1. How do you monitor a container workload running on ECS (Elastic Container Service) and Fargate with on-board resources? Here are the prioritized aspects when it comes to monitoring containers on AWS... Event-driven monitoring with EventBridge Monitoring entry points like ALB, SQS, and Kinesis Monitoring inter-service communication (Service Connect) Observing container utilization Collecting and analyzing container logs View the full article
  2. In this post, we’ll explore how to publish and consume services running on Amazon Elastic Container Service (Amazon ECS) and AWS Lambda, as Amazon VPC Lattice services. For an introduction to Amazon VPC Lattice, please read the documentation here. One main reason customer experience a lower velocity of innovation, is the complexity they deal with while trying to ensure that their applications can communicate in a simple and secure way. Amazon VPC Lattice is a powerful application networking service that removes this complexity, and gives developers a simpler user experience to share their application and connect with dependencies without having to setup any of the underlying network connectivity across Amazon Virtual Private Clouds (Amazon VPCs), AWS accounts, and even overlapping IP addressing. It handles both application layer load balancing and network connectivity, so that developers can focus on their applications, instead of infrastructure... View the full article
  3. Today, AWS announces the availability of AWS Fargate for Amazon ECS Windows containers in the AWS GovCloud (US) Regions. This feature simplifies the adoption of modern container technology for Amazon ECS customers by making it even easier to run their Windows containers on AWS. View the full article
  4. AWS Cloud Map introduces a new API for retrieving the revision of your services. It allows your applications to update the state of your cloud resources only when it has changed, minimizing the discovery traffic and API cost. With AWS Cloud Map, you can define custom names for your application resources, such as Amazon Elastic Container Services (Amazon ECS) tasks, Amazon Elastic Compute Cloud (Amazon EC2) instances, Amazon DynamoDB tables, or other cloud resources. You can then use these custom names to discover the location and metadata of cloud resources from your applications using AWS SDK and authenticated API calls. View the full article
  5. While AWS ECS and EKS serve a similar purpose, they have several fundamental differences. Here's what you should know. View the full article
  6. Understand the benefits of using Kubernetes or AWS ECS. Understand how they're different, and find out which tool is best for your situation. MetricFire can answer your questions about both Kubernetes and AWS ECS. View the full article
  7. When it comes to container orchestration tools for managing and scaling microservices, two of the biggest tools in the market are Kubernetes and Amazon Elastic Container Service (ECS). Choosing the right tool can have a significant impact on your application’s scalability, management, and overall operational efficiency. In this blog post, we will thoroughly review each tool individually, discussing its advantages and disadvantages. By the end of the comparison, you will have a clear understanding of which container orchestration tool, Kubernetes or Amazon ECS, is the most suitable choice for your web application based on your company’s specific needs. So, let’s dive into the details and evaluate these two popular options. Amazon ECS vs. Kubernetes: Ultimate Comparison In the world of container orchestration, Kubernetes and Amazon Elastic Container Service (ECS) are two prominent tools. Kubernetes, developed by Google and hosted in the cloud, is a widely adopted container orchestration service that leverages Docker. It boasts a robust community and ecosystem. On the other hand, Amazon ECS is a container orchestration tool that excels in scalability. It dynamically creates additional containers to meet application demand. Both tools have their own set of strengths and weaknesses, making it crucial to thoroughly review them in order to make an informed decision that aligns with your business requirements. Amazon Elastic Container Service (ECS) and Kubernetes are two prominent container orchestration platforms that offer powerful capabilities for managing containerized applications. While both solutions serve the purpose of container orchestration, they have distinct differences in terms of architecture, management philosophy, scalability, and ecosystem integration. In this comprehensive comparison, we will delve into the key aspects of Amazon ECS and Kubernetes to help you make an informed decision about which platform is better suited for your specific needs. Architecture ECS follows a simpler architecture, with a control plane managed by AWS. It uses a task definition to define the containerized application’s specifications and runs tasks on EC2 instances or AWS Fargate, a serverless computing engine. www.amazon.com Kubernetes employs a more complex architecture with a master control plane and worker nodes. It uses various components like the API server, scheduler, and controller to manage containers, services, and resources across a cluster of nodes. www.kubernetes.io Management Experience Amazon ECS provides a fully managed experience, where AWS handles the underlying infrastructure and manages the control plane. This simplifies the setup and management process, making it easier for users to focus on deploying and scaling applications. Kubernetes offers a flexible and customizable experience but requires more configuration and management effort. Users have more control over the environment but need to handle tasks like cluster setup, scaling, and upgrades themselves. Scalability and Flexibility The scalability of container orchestration platforms is a critical factor to consider when choosing the right tool for your needs. Both Kubernetes and Amazon ECS have made significant strides in scaling their deployments to accommodate larger clusters. With the release of Kubernetes version 1.6, the platform introduced the ability to scale up to 5,000 node clusters. This means that Kubernetes can effectively handle the management and orchestration of a vast number of nodes within a single cluster. Additionally, if the need arises to scale beyond this limit, Kubernetes supports the use of multiple clusters, allowing for further scalability. Similarly, Amazon ECS has demonstrated its scalability by successfully scaling up to over a thousand container nodes without noticeable performance degradation. This showcases its ability to handle large-scale deployments and accommodate the growth of containerized applications. ECS provides robust scaling capabilities, allowing users to scale their tasks or services automatically based on predefined rules or application demand. It integrates seamlessly with other AWS services, such as Auto Scaling, ELB, and CloudWatch, to achieve dynamic scaling. Meanwhile, Kubernetes offers extensive scaling features, including horizontal pod autoscaling and cluster autoscaling. It allows users to define custom scaling rules and can scale workloads across multiple clusters or even cloud providers. Ecosystem and Community Amazon ECS benefits from the extensive AWS ecosystem, including various complementary services like AWS Fargate, Amazon ECR for container registry, and integration with AWS IAM, CloudWatch, and CloudFormation. However, the ECS community is relatively smaller compared to Kubernetes. On the other hand, Kubernetes has a vast and thriving community, with a rich ecosystem of third-party tools, plugins, and integrations. It supports multiple container runtimes, cloud providers, and operating systems, providing more flexibility and choice. Learning Curve and Adoption The Amazon ECS offers a simpler learning curve, making it easier for users to get started quickly, especially if they are already familiar with AWS services. It is well-suited for organizations heavily invested in the AWS ecosystem. Kubernetes has a steeper learning curve, requiring users to understand its concepts, APIs, and YAML-based configurations. However, Kubernetes has gained widespread adoption and is considered a de facto standard for container orchestration, making it a valuable skill in the industry. Advantages of Kubernetes over Amazon ECS Here are some pros and cons of Kubernetes over Amazon ECS have been listed below: Deployment Flexibility: Kubernetes can be deployed on-premises, in private clouds, and public clouds, providing greater flexibility and avoiding vendor lock-in. It can run on any x86 server or even on laptops, enabling organizations to choose the deployment environment that best suits their needs. In contrast, Amazon ECS is limited to running containers on the Amazon platform. Wide Variety of Storage Options: Kubernetes supports a wide range of storage options, including on-premises SANs and public cloud storage services. This flexibility allows organizations to utilize their existing storage infrastructure or leverage storage solutions from different providers. In contrast, Amazon ECS primarily relies on Amazon’s storage solutions, such as Amazon EBS, limiting the options for external storage. Extensive Experience from Google: Kubernetes is built on Google’s extensive experience in running Linux containers at scale. The platform inherits valuable insights and best practices from Google’s internal container management systems. This experience contributes to the robustness and reliability of Kubernetes, making it a trusted choice for organizations. Enterprise Offerings and Support: Kubernetes is backed by enterprise offerings from both Google (Google Kubernetes Engine – GKE) and RedHat (OpenShift). These offerings provide additional features, support, and services tailored for enterprise environments. They ensure that organizations have access to professional support and enterprise-grade capabilities when using Kubernetes. In comparison, Amazon ECS is validated and supported within the Amazon ecosystem and does not have as many options for enterprise-grade support outside of Amazon. Largest Community and Open Source: Kubernetes boasts the largest community among container orchestration tools, with over 50,000 commits and 1200 contributors. This vibrant community ensures a wealth of resources, including extensive documentation, tutorials, plugins, and third-party integrations. It also promotes rapid development and innovation within the platform. In contrast, while Amazon ECS has open-source components like Blox, the overall community and code contributions are smaller. Considering these advantages, Kubernetes offers greater deployment flexibility, a wider range of storage options, industry expertise from Google, extensive community support, and enterprise-grade offerings from multiple vendors. These factors make Kubernetes an attractive choice for organizations looking for a highly flexible and widely adopted container orchestration solution. Common features between ECS and Kubernetes The common features that exist between Amazon ECS and Kubernetes were listed below: Networking Both Kubernetes and Amazon ECS provide networking features such as load balancing and DNS. They enable applications to be accessed from the internet and distribute traffic among containers or instances. Overall, Kubernetes offers flexibility, multi-cloud support, a rich ecosystem, advanced scaling capabilities, and industry adoption, making it a powerful choice for container orchestration. Its ability to avoid vendor lock-in and provide granular control over workload scaling sets it apart from ECS and other container services, allowing organizations to leverage the most suitable platform for their evolving needs. Logging and Monitoring For Kubernetes, there are various external tools available for logging and monitoring, including Elasticsearch/Kibana (ELK), Heapster/Grafana/InfluxDB. These tools offer capabilities for collecting logs, analyzing performance metrics, and visualizing data. In the case of Amazon ECS, the partner ecosystem includes external tools such as Datadog and Sysdig Cloud, in addition to the built-in logging and monitoring services provided by AWS CloudWatch and CloudTrail. These tools offer similar functionalities for logging, monitoring, and analyzing containerized applications in the ECS environment. Autoscaling Both Kubernetes and Amazon ECS support native autoscaling. This means that the container orchestration platforms can automatically scale the number of running instances or containers based on predefined metrics or rules. Autoscaling helps maintain application performance and efficiently utilize resources by adjusting the container or instance count as demand fluctuates. Management Tools Kubernetes management actions can be performed using the kubectl command-line interface (CLI) and the Kubernetes Dashboard, a web-based user interface. These tools allow users to manage and control various aspects of their Kubernetes clusters and applications. In the case of Amazon ECS, management can be done through the AWS Management Console, which provides a graphical user interface (GUI) for managing ECS resources, configuring services, and monitoring containers. Additionally, the AWS Command Line Interface (CLI) offers a command-line tool for interacting with ECS and performing management tasks. Both Kubernetes and Amazon ECS offer networking capabilities, logging, and monitoring options, support for autoscaling, and management tools. However, the specific tools and services may differ, and users can choose based on their preferences and requirements. FAQs Why is Kubernetes superior to ECS? If you have complete and detailed control over whether your workload can scale using Kubernetes. When you need to transition to a more powerful platform, you may prevent vendor lock-in with ECS or any of the other container services by doing this. Is Kubernetes similar to Amazon ECS? Amazon ECS is comparable to EKS, except instead of using Kubernetes, it uses a proprietary control plane. The hosting infrastructure must be provisioned by the user, but ECS manages container orchestration. What distinguishes ECS and EKS most significantly? Elastic Kubernetes Service (AWS EKS) is a completely managed Kubernetes service, whereas Elastic Container Service (AWS ECS) is a fully managed container orchestration service. This is the main distinction between AWS EKS and AWS ECS. Whether Amazon ECS is scalable? AWS’s ECS is a fully-managed, highly scalable container orchestration solution. It makes running, stopping, and managing Docker containers on a cluster simple. For individuals who already use AWS and are looking for an easy way to run and grow containerized apps, the service is a popular option. Amazon Elastic Container Service is primarily used for? Amazon Elastic Container Service (ECS) is primarily used for container orchestration and management. It allows you to run and manage Docker containers in a highly scalable and reliable manner. Conclusion After closely examining the features and characteristics of Kubernetes and Amazon ECS, it is time to determine which container orchestration tool is the best fit for your needs. If you require multi-cloud capabilities and want the flexibility to deploy your applications across various cloud providers, Kubernetes emerges as the clear choice. Its extensive community support, rich ecosystem, and ability to work with multiple container runtimes make it an ideal option for organizations seeking a multi-cloud strategy. On the other hand, if your primary focus is on reducing IT labor, hosting costs, and management complexity, Amazon ECS is the recommended choice. Its fully managed nature and seamless integration with other AWS services simplify the deployment and scaling processes, allowing you to focus more on your applications rather than infrastructure management. Ultimately, the decision between Kubernetes and Amazon ECS depends on your specific requirements and priorities. To learn more about Amazon ECS and Kubernetes, try our hands-on labs and sandboxes. If you have any questions about this blog post, please feel free to comment us! View the full article
  8. We are pleased to announce that HashiCorp Consul on Amazon Elastic Container Service (ECS) 0.5 is now generally available. This release adds support for authenticating services and clients using AWS Identity and Access Management (IAM) identities. The new release also adds support for mesh gateways, which enable services to communicate across multiple runtimes and clouds and reduces risk for organizations by enforcing consistent end-to-end security for service communication. View the full article
  9. Amazon ECS now fully supports multiline logging powered by AWS for Fluent Bit for both AWS Fargate and Amazon EC2. AWS Fluent Bit is an AWS distribution of the open-source project Fluent Bit, a fast and a lightweight log forwarder. Amazon ECS users can use this feature to re-combine partial log messages produced by your containerized applications running on AWS Fargate or Amazon EC2 into a single message for easier troubleshooting and analytics. View the full article
  10. Today, we are announcing availability of a Bottlerocket variant that supports NVIDIA GPU-based Amazon EC2 instance types on Amazon Elastic Container Services (Amazon ECS). Bottlerocket is a Linux-based operating system that is purpose-built to run container workloads. Customers can now benefit from using the same container-focused host operating system for both their non-GPU and GPU workloads while using ECS, including machine learning, video encoding, and streaming workloads. This helps customers standardize on a single operating system that utilizes the underlying specialized compute hardware. View the full article
  11. Amazon Elastic Container Services (Amazon ECS) provides a Cluster Auto Scaling (CAS) capability to dynamically manage the scaling of your Amazon Elastic Compute Cloud (EC2) Auto Scaling groups (ASG) on your behalf, so that you can focus on running your containers. Capacity Providers is the compute interface that links your Amazon ECS cluster with your ASG. With Capacity Providers, you can define flexible rules for how containerized workloads run on different types of compute capacity, and manage the scaling of the capacity. Capacity Providers improve the availability, scalability, and cost of running tasks and services on ECS. Starting today, we are simplifying the integration mechanism between Capacity Providers and ASGs by directly integrating with target-tracking scaling policy instead of relying on AWS Auto Scaling scaling plan. View the full article
  12. AWS Resilience Hub now supports Amazon Elastic Container Service (Amazon ECS), Amazon Route 53, AWS Elastic Disaster Recovery, AWS Backup, and the ability to use Terraform as a source to upload applications. With this expansion of supported resources, you can use Resilience Hub to prepare and protect even more of your applications from disruptions. View the full article
  13. Thanks to Marc Weaver at Databasable, who helped us curate few interesting observations he made while working with these services.References:https://aws.amazon.com/eks/pricing/ https://aws.amazon.com/ecs/pricing/ https://aws.amazon.com/fargate/faqs/ https://docs.aws.amazon.com/eks/latest/userguide/s.. View the full article
  14. The Amazon Elastic Container Service (Amazon ECS) extensions module that extends the service construct in AWS Cloud Development Kit (AWS CDK), is now generally available. The new Amazon ECS service construct for AWS CDK supports extensions that automatically add additional capabilities such as AWS App Mesh or FireLens to your containerized services using familiar programming languages. View the full article
  15. Amazon Elastic Container Service (Amazon ECS) Cluster Auto Scaling (CAS) now offers more responsive scaling when using EC2 Auto Scaling groups (ASGs) that span across Availability Zones (AZs) and instance types. View the full article
  16. Amazon Elastic Container Service (ECS) now supports the ability to add the recently launched P4d instances on Amazon ECS clusters in all regions where P4d instances are available. P4d instances offer up to 60% lower cost to train compared to previous generation instances with 2.5X more deep learning performance using the latest NVIDIA A100 Tensor Core GPUs. These instances also offer 8 TB of local NVMe storage. P4d instances are currently available in the US East (N. Virginia) and US West (Oregon) regions. To learn more about P4d instances, please visit the P4d product page and news blog. View the full article
  17. Amazon Elastic Container Service (Amazon ECS) on AWS Fargate now lets you configure the size of ephemeral storage for your Tasks up to a maximum of 200GiB. All ephemeral storage on AWS Fargate continues to be encrypted by default with service-managed keys. View the full article
  18. Today, Amazon Elastic Container Service (Amazon ECS) announced in preview, Amazon ECS deployment circuit breaker, for EC2 and Fargate launch types. With this feature, Amazon ECS customers can now automatically roll back unhealthy service deployments without the need for manual intervention. This empowers customers to quickly discover failed deployments, without worrying about resources being consumed for failing tasks, or indefinite deployment delays. View the full article
  19. AWS App2Container (A2C) is a command-line tool for modernizing .NET and Java applications into containerized applications. A2C analyzes and builds an inventory of all applications running in virtual machines, on-premises or in the cloud. You simply select the application you want to containerize, and A2C packages the application artifact and identified dependencies into container images, configures the network ports, and generates the ECS task and Kubernetes pod definitions. View the full article
  20. Amazon Elastic Container Service (Amazon ECS) now supports the use of Amazon FSx for Windows File Server in Amazon ECS task definitions. With this capability, you can now use persistent, shared storage across ECS containers. Customers can use Amazon FSx for their Windows containers in task definitions compatible with the EC2 launch type. Amazon ECS tasks using Amazon FSx will automatically mount the file systems specified by the customer in the task definition and make them available to the containers in the task across all availability zones in an AWS Region. View the full article
  21. Amazon Elastic Container Service (ECS) now supports native Internet Protocol version 6 (IPv6) for Amazon ECS tasks using task networking (awsvpc networking mode). Previously, IPv6 was only supported in host networking mode. With this capability, tasks using awsvpc networking mode can communicate with other endpoints in Amazon Virtual Private Cloud (Amazon VPC) and internet in dual-stack mode via either IPv4 or IPv6. This will allow customers to communicate with on-premises resources that support only IPv6 addresses and meet IPv6 compliance requirements. View the full article
  22. AWS Fargate for Amazon Elastic Container Service (Amazon ECS) announced features to improve configuration and metrics of containers: environment files, secret versions and JSON keys, granular network metrics, and more metadata. View the full article
  23. Amazon Elastic Container Service (Amazon ECS) on AWS Fargate capacity providers is now supported in AWS CloudFormation, which makes it easier to manage and run Amazon ECS tasks across Fargate and Fargate Spot. You can now use CloudFormation to automate the management of Fargate capacity providers, associate them with ECS clusters, and specify capacity provider strategies at the cluster and service level by using a CloudFormation template. View the full article
  24. Amazon Elastic Container Service (Amazon ECS) Cluster Auto Scaling (CAS) now supports specifying a custom instance warm-up time, making scaling more responsive. View the full article
  25. Amazon Elastic Container Service (Amazon ECS) capacity providers now support update functionality. You can update the parameters of a capacity provider using either the AWS Management Console or the new UpdateCapacityProvider API. View the full article
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