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    Dive

     Info
    Deployed on AWS
    AWS Free Tier
    This product has charges associated with it for seller support. Dive is a tool to explore and analyze Docker image contents, helping optimize image size and layers.

    Overview

    Dive on Ubuntu 24.04 with Free Maintenance Support by ATH Infosystems is a repackaged open-source software offering wherein additional charges apply for support. Dive is a command-line tool designed to explore, analyze, and inspect Docker container images. It helps developers, DevOps engineers, and security teams understand container image contents, identify inefficient layers, review file changes between image layers, and optimize Docker images for better size and build efficiency.

    This pre-configured Dive environment on Ubuntu 24.04 provides a ready-to-use container image analysis tool for development and DevOps workflows. Dive allows users to inspect the layers of a Docker image interactively, examine files added or removed at each layer, and identify opportunities to reduce unnecessary data within container images.

    Dive is particularly useful when optimizing Dockerfiles and container build processes. By analyzing image layers and their contents, development teams can identify duplicated files, unnecessary packages, and inefficient build steps. This can help create smaller container images that require less storage and may be faster to transfer and deploy.

    Key Features of Dive:

    • Interactive Docker container image inspection.
    • Layer-by-layer container image analysis.
    • File-level inspection of image contents.
    • Visualization of files added, modified, or removed between layers.
    • Detection of inefficient image layers.
    • Container image size analysis.
    • Useful for Dockerfile optimization.
    • Command-line interface suitable for DevOps workflows.
    • Support for analyzing locally available container images.
    • Can help identify duplicated and unnecessary files.
    • Useful for improving container build efficiency.
    • Suitable for CI/CD and container development workflows.

    Container Image Optimization:

    Dive helps developers understand how Dockerfiles and build instructions affect the resulting container image. By reviewing individual layers and their contents, teams can identify unnecessary files and packages, reduce image size, and improve container build practices.

    DevOps and CI/CD Workflows:

    Dive can be incorporated into container development and DevOps workflows to review image efficiency before deployment. It can complement Docker, Kubernetes, CI/CD pipelines, and container registries as part of a broader container image management process.

    AWS Deployment:

    • Pre-configured Dive environment on Ubuntu 24.04.
    • Ready-to-use Docker image analysis tool.
    • Reduced installation and initial configuration effort.
    • Suitable for container development and DevOps workloads.
    • Can be used with AWS-based container development environments.
    • Useful for optimizing images before deployment to container platforms.

    ATH Infosystems Support:

    • Dive installation and configuration assistance.
    • Container image analysis troubleshooting.
    • Docker image optimization guidance.
    • Maintenance and update assistance.
    • DevOps and CI/CD integration guidance.

    Keywords: Dive, Ubuntu 24.04, Docker image analysis, container image inspection, Docker, container optimization, Dockerfile optimization, container security, image layers, container development, DevOps, CI/CD, Kubernetes, container images, image size optimization, Docker troubleshooting, AWS, cloud-native development, ATH Infosystems.

    Licensing & Disclaimer: Dive is open-source software distributed under its applicable open-source license. Dive and related trademarks belong to their respective owners. This AWS Marketplace offering is independently packaged, maintained, and supported by ATH Infosystems. No warranty, express or implied, is provided with this package.

    Highlights

    • Supports automated efficiency checks in CI/CD pipelines
    • Works with Docker images and OCI-compatible images
    • Quickly identify large layers and unnecessary bloat

    Details

    Delivery method

    Delivery option
    64-bit (x86) Amazon Machine Image (AMI)

    Latest version

    Operating system
    Ubuntu 24.04

    Deployed on AWS
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    Pricing

    Pricing is based on actual usage, with charges varying according to how much you consume. Subscriptions have no end date and may be canceled any time.
    Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator  to estimate your infrastructure costs.
    If you are an AWS Free Tier customer with a free plan, you are eligible to subscribe to this offer. You can use free credits to cover the cost of eligible AWS infrastructure. See AWS Free Tier  for more details. If you created an AWS account before July 15th, 2025, and qualify for the Legacy AWS Free Tier, Amazon EC2 charges for Micro instances are free for up to 750 hours per month. See Legacy AWS Free Tier  for more details.

    Usage costs (21)

     Info
    Dimension
    Cost/hour
    m4.large
    Recommended
    $0.10
    t2.micro
    $0.001
    t3.micro
    $0.10
    t3.small
    $0.10
    m3.medium
    $0.10
    c3.large
    $0.10
    c4.large
    $0.10
    c5.large
    $0.10
    r5.large
    $0.10
    m3.large
    $0.10

    Vendor refund policy

    No Refund

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    Legal

    Vendor terms and conditions

    Upon subscribing to this product, you must acknowledge and agree to the terms and conditions outlined in the vendor's End User License Agreement (EULA) .

    Content disclaimer

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    Usage information

     Info

    Delivery details

    64-bit (x86) Amazon Machine Image (AMI)

    Amazon Machine Image (AMI)

    An AMI is a virtual image that provides the information required to launch an instance. Amazon EC2 (Elastic Compute Cloud) instances are virtual servers on which you can run your applications and workloads, offering varying combinations of CPU, memory, storage, and networking resources. You can launch as many instances from as many different AMIs as you need.

    Version release notes

    Packaged with latest updates as of April/2026

    Additional details

    Usage instructions

    Connect to EC2 Linux instance using username "ubuntu" Port 22, and run following commands : #sudo su #sudo apt update #dive version

    Support

    Vendor support

    Feel free to reach out anytime. Our support team is available 24x7 for assistance Email: meha@kcloudhubs.com 

    AWS infrastructure support

    AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.

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