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    Defang Pro (SDUs)

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    Deployed on AWS
    Defang is a DevOps tool that helps developers deploy intelligent, multi-agent, and containerized applications, including those built with AWS Kiro, to any AWS destination account in a single command. Defang automates WAFR-compliant deployments using AWS-native services such as ECS, RDS, ElastiCache, Bedrock, IAM, ELB, etc., enabling secure, scalable, and production-ready environments designed for the agentic AI era.
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    Overview

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    Defang accelerates the journey from application development to deployment by helping teams launch agentic and autonomous AI applications with minimal effort. While AWS Kiro enables developers to build intelligent, multi-agent AI workloads, Defang ensures those applications deploy quickly, securely, and reliably to any AWS destination account.

    Key Benefits

    Defang automatically produces secure, scalable, cost-efficient deployments into any any AWS account in any AWS region. Using a standard Docker Compose file as input, Defang supports building and deploying apps using any language (Node.js, Python, Go, and more) and a variety of agentic frameworks (CrewAI, LangGraph, n8n, Autogen, Strands, etc.)

    Defang deploys workloads that adhere to the AWS Well-Architected Framework, ensuring each environment is reliable and compliant by default. Defang configures AWS-native services such as Amazon ECS for container orchestration, Amazon RDS for databases, Amazon ElastiCache for in-memory data, Elastic Load Balancing (ELB) for traffic routing, AWS Identity and Access Management (IAM) for secure access, and Amazon Bedrock for generative AI and agentic workflows.

    Defang automates deployment setup so teams can go from idea to production in minutes. It includes deployment modes for different tiers (dev, staging, production), built-in cost estimation, and environment consistency across projects. With the Model Context Protocol (MCP) interface, Defang integrates with development tools such as AWS Kiro, VS Code, Cursor, and Claude, allowing natural-language deployment commands like 'deploy my app to AWS'.

    Defang acts as your DevOps agent for the agentic era, enabling faster iteration, reduced configuration overhead, and repeatable deployments for any application stack. It supports web services, APIs, machine learning pipelines, and LLM-driven applications, helping developers and product teams deliver innovation with speed and confidence.

    Highlights

    • Deploy intelligent, multi-agent AI applications including AWS Kiro-built workloads to any AWS destination account in one command using AWS-native services such as ECS, RDS, ElastiCache, Bedrock, and ELB.
    • Support any application language (Node.js, Python, Go, and more) or agentic framework (CrewAI, n8n, LangGraph, etc.) using Docker Compose for configuration and automation. Built-in AI-assisted debugging help teams move from idea to production faster.
    • Enable secure and repeatable deployments with defined deployment modes (dev/staging/prod), cost estimation, CI/CD integration, and secret management - all aligned with AWS Well-Architected best practices.

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    Pricing

    Defang Pro (SDUs)

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    Pricing is based on the duration and terms of your contract with the vendor, and additional usage. You pay upfront or in installments according to your contract terms with the vendor. This entitles you to a specified quantity of use for the contract duration. Usage-based pricing is in effect for overages or additional usage not covered in the contract. These charges are applied on top of the contract price. If you choose not to renew or replace your contract before the contract end date, access to your entitlements will expire.
    Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator  to estimate your infrastructure costs.

    1-month contract (1)

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    Dimension
    Description
    Cost/month
    1 Pro User
    This entitles you to 1 Pro user
    $30.00

    Additional usage costs (1)

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    The following dimensions are not included in the contract terms, which will be charged based on your usage.

    Dimension
    Cost/unit
    Service Deployment Units (SDUs)
    $0.06

    Vendor refund policy

    No refunds

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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) .

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    Usage information

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    Delivery details

    Software as a Service (SaaS)

    SaaS delivers cloud-based software applications directly to customers over the internet. You can access these applications through a subscription model. You will pay recurring monthly usage fees through your AWS bill, while AWS handles deployment and infrastructure management, ensuring scalability, reliability, and seamless integration with other AWS services.

    Support

    Vendor support

    Email: info@defang.io  Website: https://defang.io  Defang provides documentation, tutorials, community channels, and guided support for deploying agentic AI applications. Paid support plans include configuration reviews, CI/CD integration guidance, and best-practice recommendations for AWS deployments.

    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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    Customer reviews

    Ratings and reviews

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    1 AWS reviews
    reviewer2802432

    Agentic AI workflows have moved from local tests to AWS production while my team stays product focused

    Reviewed on Feb 11, 2026
    Review from a verified AWS customer

    What is our primary use case?

    I am deploying an agentic AI application to AWS . We are building a B2B SaaS product that runs agentic workflows, and we needed a way to go from local development to production on AWS  without getting buried in infrastructure complexity.

    How has it helped my organization?

    As a small team focused on product development, Defang let us ship to AWS without hiring dedicated DevOps professionals or spending weeks manually configuring infrastructure. Time we would have spent wrestling with ECS task definitions, networking, and IAM  policies was redirected straight back into building our core product. It compressed what would have been a multi-week deployment effort into something manageable.

    What is most valuable?

    The most valuable feature is the ability to go from a local development environment to a deployed AWS application with minimal configuration changes. For an agentic application with multiple services, not having to manually orchestrate each piece of the infrastructure was the biggest win.

    What needs improvement?

    Providing more details on the deployment progress within the Defang portal would be welcomed.

    For how long have I used the solution?

    I have used the solution for 6 months.

    Which solution did I use previously and why did I switch?

    Defang was our first deployment tool for this project.

    What's my experience with pricing, setup cost, and licensing?

    The pricing is fair and reasonable.

    Which other solutions did I evaluate?

    We considered managing AWS infrastructure directly but chose Defang for speed.

    What other advice do I have?

    It is particularly well-suited for small teams building AI/agentic applications who want to deploy on AWS without the infrastructure overhead. If you are a product-focused team that does not want to become an infrastructure team, it is worth evaluating.

    If public cloud, private cloud, or hybrid cloud, which cloud provider do you use?

    Amazon Web Services (AWS)
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