Pingora on CentOS 9 is a prebuilt environment delivering the powerful open source Rust-based network services framework from Cloudflare, ready for deployment with optional professional support by ThinkCloud.
Pingora on CentOS 9 with support by ThinkCloud provides a fully configured and optimized platform for building high-performance networked applications using the open source Rust-based Pingora framework from Cloudflare. Pingora is designed as a programmable and extensible foundation for developing fast, reliable network services and HTTP proxy logic with support for modern protocols, including HTTP/1.x, HTTP/2, gRPC, and WebSockets.
GitHub
This AWS Marketplace offering runs on CentOS 9, delivering a secure and stable enterprise-ready Linux operating system with the Pingora framework and its dependencies installed and configured for immediate use. With this solution, developers and teams can accelerate service development, prototype custom proxy logic, or deploy scalable infrastructure components without manual setup complexities.
The Cloudflare Blog
ThinkCloud also offers optional professional support services, including deployment guidance, configuration assistance, and troubleshooting, helping users get the most out of their Pingora environment on AWS. This solution is ideal for developers, network engineers, and organizations building performant, memory-safe networking applications or customized service proxies.
Highlights
Preinstalled and configured Pingora framework on CentOS 9, ready for immediate deployment and development on AWS.
High-performance Rust-based network services framework with support for modern protocols such as HTTP/1.x, HTTP/2, gRPC, and WebSockets.
Optional ThinkCloud expert support for deployment, configuration, and maintenance of your Pingora environment.
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 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. Alternatively, you can pay upfront for a contract, which typically covers your anticipated usage for the contract duration. Any usage beyond contract will incur additional usage-based costs.
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.
You pay by the hour for Pingora on CentOS 9, billed per running instance. Each dimension maps to a specific AWS EC2 instance type, so your rate depends on the hardware you choose. Options span general-purpose, compute-optimized, memory-optimized, storage-optimized, and accelerated (GPU, inference, training) families, in sizes from nano and micro up to metal and multi-terabyte instances. Larger or more specialized instances carry higher hourly rates. You run only what you need and stop paying when the instance stops. ThinkCloud provides support with this software listing.
Top-of-mind questions for buyers
What does one billed unit represent for this listing?
Each unit is one running EC2 instance of the type you select, metered by the hour. You pick one instance type per deployment, and the software rate applies for every hour that instance runs. Different instance families and sizes carry different hourly rates.
Am I charged the software fee when the instance is stopped?
The software fee meters running hours only. When you stop the instance, the hourly software charge stops. Stopped instances may still incur underlying AWS storage fees for attached volumes, but those are separate from this software rate.
How does my hourly rate change if I move to a larger instance type?
Your rate is tied to the specific instance type you run, not usage volume. Switching to a larger or more specialized instance, such as GPU, inference, training, or metal, applies that type's hourly rate. You are not billed for multiple types at once unless you run multiple instances.
www.thinkclouds.ai
Helpful?
Vendor refund policy
no refunds
How can we make this page better?
Tell us how we can improve this page, or report an issue with this product.
Give us feedbackReport a problem with this product or seller
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
Vendors are responsible for their product descriptions and other product content. AWS does not warrant that vendors' product descriptions or other product content are accurate, complete, reliable, current, or error-free.
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
Updated to the latest
Additional details
Usage instructions
SSH to the instance and login as 'ec2-user' using the key specified at launch. Additional information may be found at : https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/AccessingInstancesLinux.html
After entering the system, please check the Readme file under the / path, which contains detailed configuration information
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.
Be the first to review this product. We've partnered with PeerSpot to gather customer feedback. You can share your experience by writing or recording a review, or scheduling a call with a PeerSpot analyst.