Compare the Top Container Management Software that integrates with Amazon EC2 as of June 2025

This a list of Container Management software that integrates with Amazon EC2. Use the filters on the left to add additional filters for products that have integrations with Amazon EC2. View the products that work with Amazon EC2 in the table below.

What is Container Management Software for Amazon EC2?

Container management software platforms help organizations deploy, manage, and scale containerized applications across multiple environments. These platforms streamline the orchestration of containers, allowing businesses to automate the deployment, scaling, and operation of application containers. They typically support Kubernetes, Docker, or other container orchestration technologies to manage clusters of containers. Container management platforms improve efficiency by enabling developers to focus on building applications rather than worrying about the underlying infrastructure. They also provide monitoring, logging, and security features to ensure that applications run smoothly and securely in production. Compare and read user reviews of the best Container Management software for Amazon EC2 currently available using the table below. This list is updated regularly.

  • 1
    AWS App2Container
    AWS App2Container (A2C) is a command line tool for migrating and modernizing Java and .NET web applications into container format. AWS A2C analyzes and builds an inventory of applications running in bare metal, virtual machines, Amazon Elastic Compute Cloud (EC2) instances, or in the cloud. Save on infrastructure and training costs by streamlining application development and operational skill sets. Accelerate modernization with automatic analysis of applications and autogenerated container images. Containerize applications running in your data center without code changes. Migrate and modernize legacy applications while standardizing the deployment and operations of your applications. Use AWS CloudFormation templates that configure required compute, network, and security infrastructure. Use pre-created continuous integration and delivery (CI/CD) pipelines for AWS DevOps services.
  • 2
    Doctor Droid

    Doctor Droid

    Doctor Droid

    ​Doctor Droid is an AI-driven platform designed to revolutionize monitoring and troubleshooting for engineering teams. It automates complex investigations, following standard operating procedures to analyze data across multiple integrations, identify root causes, and execute standard runbooks for self-healing. By proactively listening for alerts, Doctor Droid prepares relevant data and insights, reducing on-call time by up to 80% and enabling engineers to respond swiftly. It facilitates rapid onboarding of new engineers by automating the search for documents, learning new tools, and understanding data, allowing them to become primary on-calls from day one. With the capability to perform ad-hoc investigations, such as analyzing Kubernetes clusters or checking recent deployments, Doctor Droid adapts and creates new plans based on suggestions and existing documents. It integrates seamlessly with over 40 tools across the stack.
    Starting Price: $99 per month
  • 3
    Swarm

    Swarm

    Docker

    Current versions of Docker include swarm mode for natively managing a cluster of Docker Engines called a swarm. Use the Docker CLI to create a swarm, deploy application services to a swarm, and manage swarm behavior. Cluster management integrated with Docker Engine: Use the Docker Engine CLI to create a swarm of Docker Engines where you can deploy application services. You don’t need additional orchestration software to create or manage a swarm. Decentralized design: Instead of handling differentiation between node roles at deployment time, the Docker Engine handles any specialization at runtime. You can deploy both kinds of nodes, managers and workers, using the Docker Engine. This means you can build an entire swarm from a single disk image. Declarative service model: Docker Engine uses a declarative approach to let you define the desired state of the various services in your application stack.
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