Sold by: Code Creator
Deployed on AWS
Launch a self hosted Kong API Gateway and AI Gateway on Ubuntu 26.04 LTS with Docker Compose, PostgreSQL, a public IP landing page, a working demo route, and an AI Gateway starter helper for OpenAI compatible traffic. Built for developers and teams that want fast API routing, testing, and AI gateway workflows inside their own AWS account. This product has charges associated with it for the provision and deployment of the application and AMI support.
Overview
Kong API Gateway and AI Gateway packaged by Code Creator is a ready to launch AWS Marketplace AMI designed for developers, platform teams, SaaS builders, and technical organizations that want a self hosted API gateway running directly inside their own AWS account.
This product provides a modern Kong community edition deployment on Ubuntu 26.04 LTS using Docker Compose and PostgreSQL. It includes a public IP landing page, first boot IP automation, a working demo API route, and customer friendly helper commands for status checks, logs, restart, backup, configuration export, and AI gateway setup.
The AMI includes an AI Gateway starter workflow using Kongs bundled AI Proxy plugin. Customers can configure an OpenAI compatible AI proxy route after launch using their own provider API key. No AI provider key is bundled with the AMI.
For security, Kong proxy traffic is available publicly on the recommended gateway ports, while the Kong Admin API is restricted to localhost by default. Customers can manage the gateway through SSH, local helper commands, and optional SSH tunneling to the local Admin API.
This product is useful for API routing, gateway testing, internal API mediation, microservices traffic management, AI traffic proxy workflows, development environments, staging environments, and self hosted gateway deployments inside AWS.
Included features Kong community edition 3.9.1 Ubuntu 26.04 LTS Docker Compose deployment PostgreSQL backend Public landing page Working demo route through Kong AI Gateway starter helper First boot public IP automation Backup and configuration export helpers Localhost only Kong Admin API Customer friendly command line helpers
This product does not include a third party public Kong administration GUI by default. This reduces public attack surface compared with older GUI first deployments and keeps the AMI focused on a cleaner, more secure API and AI gateway foundation.
This is a repackaged open source software product wherein additional charges are applied for the deployment of the application and AMI support and compliance.
Highlights
- Self-hosted Kong gateway ready in minutes Launch a Kong API Gateway on Ubuntu 26.04 LTS with Docker Compose, PostgreSQL, and a public IP landing page already prepared.
- Built-in AI Gateway starter workflow Includes a helper command to configure an OpenAI compatible AI proxy route using your own provider API key after launch.
- Security focused and customer friendly Public proxy ports are enabled, while the Kong Admin API is restricted to localhost by default. Helpful commands simplify setup, testing, backup, and troubleshooting.
Details
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Delivery method
Delivery option
64-bit (x86) Amazon Machine Image (AMI)
Latest version
Operating system
Ubuntu 26.04
Deployed on AWS
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Financing for AWS Marketplace purchases
AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
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.
Dimension | Cost/hour |
|---|---|
t3.large Recommended | $0.04 |
m6i.8xlarge | $0.04 |
m6i.large | $0.04 |
m6i.4xlarge | $0.04 |
t3.medium | $0.04 |
m6i.2xlarge | $0.04 |
t3.2xlarge | $0.04 |
m6i.12xlarge | $0.04 |
t3.xlarge | $0.04 |
Dimensions summary
You pay by the hour based on the EC2 instance size you run. All nine dimensions deliver the same API Gateway and AI Gateway software; they differ only by compute capacity. Two families are offered: t3 instances (medium, large, xlarge, 2xlarge) and m6i instances (large, 2xlarge, 4xlarge, 8xlarge, 12xlarge). Larger sizes provide more CPU and memory for higher API traffic. Your cost scales with the size you select and the number of hours it runs. Choose the size that matches your expected workload.
Top-of-mind questions for buyers
Each dimension bills per hour that one EC2 instance of that size runs. You pay for actual running time. A t3.large charge covers one t3.large instance for one hour. Running multiple instances multiplies the hourly charge by the number of instances active.
The hourly software charge applies only while the instance runs. Stopped or powered-off instances do not accrue software charges. You may still incur underlying AWS storage fees for stopped instances, but the software meter tracks running hours only.
The AI Gateway capabilities run as plugins on top of the same gateway software. All nine dimensions include the same software. You pay only the hourly rate for your chosen instance size. Enabling AI plugins does not add a separate pricing dimension here.
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Vendor refund policy
No contracts. We do not currently support refunds, but you can cancel at any time.
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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
n/a
Additional details
Support
Vendor support
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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