Best Container Management Software Platforms for Amazon EKS

Find and compare the best Container Management software platforms for Amazon EKS in 2024

Use the comparison tool below to compare the top Container Management software platforms for Amazon EKS on the market. You can filter results by user reviews, pricing, features, platform, region, support options, integrations, and more.

  • 1
    K8Studio Reviews
    Welcome to K8 Studio - your ultimate cross platform client IDE for effortless Kubernetes Cluster management. You can deploy seamlessly to popular platforms like EKS, GKE and AKS or your dedicated bare-metal setup. Connect to your cluster using an intuitive interface that provides a visual representation of services, nodes, pods and more. With a single click, you can access logs, detailed descriptions of elements, and a bash console. K8Studio features are user-friendly and will enhance your Kubernetes experiences. Grid view provides a tabular display for all Kubernetes items. The left bar allows the user to select specific object types. This view is interactive and updated in real-time. Users can easily search and filter objects based on namespaces, and rearrange columns. Organizes workloads by namespace, instance, and services. Visualize object connections to quickly count pods and check status.
  • 2
    Amazon Elastic Container Service (Amazon ECS) Reviews
    Amazon Elastic Container Service (Amazon ECS), is a fully managed container orchestration and management service. ECS is used by customers such as Duolingo and Samsung, GE and Cook Pad to run their most sensitive and critical mission-critical applications. It offers security, reliability and scalability. ECS is a great way to run containers for a variety of reasons. AWS Fargate is serverless compute for containers. You can also run ECS clusters with Fargate. Fargate eliminates the need for provisioning and managing servers. It allows you to specify and pay per application for resources and improves security by application isolation by design. ECS is also used extensively in Amazon to power services like Amazon SageMaker and AWS Batch. It is also used by Amazon.com's recommendation engines. ECS is extensively tested for reliability, security, and availability.
  • 3
    Calico Cloud Reviews

    Calico Cloud

    Tigera

    $0.05 per node hour
    Secure and observability SaaS platform that charges per-use for containers, Kubernetes and the cloud. Live view of dependencies and how services communicate with each other in multi-cluster, hybrid, and multi-cloud environments. You can eliminate the setup and onboarding steps, and you can troubleshoot any Kubernetes security or observability issues in minutes. Calico Cloud is a next generation security and observability SaaS platform that supports containers, Kubernetes and cloud. It allows organizations of all sizes and budgets to protect their cloud workloads, containers, detect threats, maintain compliance, and troubleshoot issues in real time across multi-cluster, hybrid, and multi-cloud deployments. Calico Cloud is built upon Calico Open Source, which is the most widely used container networking and security solution. Instead of managing a platform that provides Kubernetes security or observability, teams can use it as a managed service to speed up analysis, relevant actions, and so on.
  • 4
    Loft Reviews

    Loft

    Loft Labs

    $25 per user per month
    Most Kubernetes platforms let you spin up and manage Kubernetes clusters. Loft doesn't. Loft is an advanced control plan that runs on top your Kubernetes clusters. It adds multi-tenancy and self service capabilities to these clusters in order to get the most out of Kubernetes. Loft offers a powerful UI/CLI, but it is 100% Kubernetes. You can control everything via Kubectl or the Kubernetes API. This allows for seamless integration with cloud-native tools. Our DNA is built on open-source software. Loft Labs is a CNCF and Linux Foundation member. Loft allows companies to empower employees to create low-cost Kubernetes environments that are easy to use for a variety purposes.
  • 5
    D2iQ Reviews
    D2iQ Enterprise Kubernetes Platform (DKP) Enterprise Kubernetes Platform: Run Kubernetes Workloads at Scale D2iQ Kubernetes Platform (DKP): Adopt, expand, and enable advanced workloads across any infrastructure, whether on-prem, on the cloud, in air-gapped environments, or at the edge. Solve the Toughest Enterprise Kubernetes Challenges Accelerate the journey to production at scale, DKP provides a single, centralized point of control to build, run, and manage applications across any infrastructure. * Enable Day 2 Readiness Out-of-the-Box Without Lock-In * Simplify and Accelerate Kubernetes Adoption * Ensure Consistency, Security, and Performance * Expand Kubernetes Across Distributed Environments * Ensure Fast, Simple Deployment of ML and Fast Data Pipeline * Leverage Cloud Native Expertise
  • 6
    CloudPlex Reviews
    CloudPlex is an enterprise cloud platform that supports both technical and business requirements for cloud computing. It manages all aspects of app management, including security, governance, orchestration, and cost management. The platform manages legacy, container-based, and cloud-native applications on all major public cloud providers in a single place. It allows for an automated process of application provisioning and orchestration. CloudPlex is a cloud-spend management solution that addresses the business requirements of enterprises. It provides a complete estimate, review, approval, change management workflow, and end-to-end licensing management.
  • 7
    AWS Fargate Reviews
    AWS Fargate, a serverless compute engine that runs containers, works with both Amazon Elastic Container Service and Amazon Elastic Kubernetes Service. Fargate makes it simple for you to concentrate on building your applications. Fargate eliminates the need for provisioning and managing servers. It allows you to specify and pay per application for resources. Fargate also improves security by application isolation by design. Fargate allocates the correct amount of compute, eliminating the need for instances to scale cluster capacity and choosing instances. You only pay for what you use to run your containers. There is no need to over-provision or purchase additional servers. Fargate runs each task and pod in its own kernel, giving them their own isolated computing environment. This allows your application to be isolated from the workload and provides greater security by design.
  • 8
    AWS App2Container Reviews
    AWS App2Container is a command-line tool that allows you to migrate and modernize Java and.NET applications into container format. AWS A2C analyzes applications running on bare metal, virtual machine, Amazon Elastic Compute Cloud instances (EC2), or in the Cloud. Streamlining application development and operational skills sets will reduce infrastructure costs and training costs. Automate modernization through automatic analysis of applications, and auto-generated container images. Containerize applications running within your datacenter without code changes. Standardize the deployment and operation of your legacy applications. AWS CloudFormation Templates configure the required compute, networking, and security infrastructure. Use pre-created continuous delivery and integration (CI/CD pipelines) for AWS DevOps.
  • 9
    Amazon EKS Anywhere Reviews
    Amazon EKS Anywhere, a new Amazon EKS deployment option, allows you to create and manage Kubernetes clusters anywhere. This includes on your own virtual machines (VMs), and bare metal servers. EKS Anywhere offers an easy-to-install software package that allows you to create and operate Kubernetes clusters. It also includes automation tools for supporting the cluster's lifecycle. EKS Anywhere provides a consistent AWS management experience for your data center. It builds on the strengths and capabilities of Amazon EKS Distro (the same Kubernetes which powers EKS on AWS). EKS Anywhere makes it easy to buy or build your own management tools. It allows you to create EKS Distro clusters and update software. You can also handle backup and recovery. EKS Anywhere allows you to automate cluster management, reduce support cost, and eliminate redundant effort of using multiple open-source or third-party tools to operate Kubernetes clusters. AWS fully supports EKS Anywhere.
  • 10
    Ondat Reviews
    You can accelerate your development by using a storage platform that integrates with Kubernetes. While you focus on running your application we ensure that you have the persistent volumes you need to give you the stability and scale you require. Integrating stateful storage into Kubernetes will simplify your app modernization process and increase efficiency. You can run your database or any other persistent workload in a Kubernetes-based environment without worrying about managing the storage layer. Ondat allows you to provide a consistent storage layer across all platforms. We provide persistent volumes that allow you to run your own databases, without having to pay for expensive hosted options. Kubernetes data layer management is yours to take back. Kubernetes-native storage that supports dynamic provisioning. It works exactly as it should. API-driven, tight integration to your containerized applications.
  • 11
    Rafay Reviews
    Developers and operations teams will be delighted by the self-service and automation that they require. This is achieved with the right combination of standardization, control, and control that the business demands. Centrally manage configurations (in Git), for clusters that include security policy and software addons like service mesh, ingress controllers and monitoring. Blueprints and addon lifecycle management are easily applied to both brownfield and greenfield clusters. Blueprints can be shared among multiple teams to facilitate central governance of add-ons distributed across the fleet. Users can move from a Git push to an updated app on managed clusters in just seconds, 100+ times per day, for environments that require agile development cycles. This is especially useful for environments that require frequent updates.
  • 12
    AWS Deep Learning Containers Reviews
    Deep Learning Containers are Docker images pre-installed with the most popular deep learning frameworks. Deep Learning Containers allow you to quickly deploy custom ML environments without the need to build and optimize them from scratch. You can quickly deploy deep learning environments using prepackaged, fully tested Docker images. Integrate Amazon SageMaker, Amazon EKS and Amazon ECS to create custom ML workflows that can be used for validation, training, and deployment.
  • Previous
  • You're on page 1
  • Next