Features
| Pricing | Documentation | Contact | Blog
Welcome to the Proxylity's documentation. Here you will find information on how to use Proxylity, including configuration, features, and best practices. If you have any questions or need assistance, please feel free to contact us.
Proxylity eliminates the cost and overhead of running network services on VMs (EC2, Fargate, EKS, etc.) by providing the network connections (IP addresses and ports) for your service traffic and delivering the packets that arrive on them to resources in your AWS account (Lambda, StepFunctions, S3, DDB, SNS, etc.). You have complete control over your data -- how and where it is processed and stored. Proxylity does not store or inspect network traffic beyond what's necessary to deliver it to your serverless backend (which is very little).
Once subscribed, there are two paths available for making use of Proxylity in your organization:
Proxylity supports either method of interacting with our services, but many organizations prefer an IaC-based approach, so let's start there.
To connect your AWS account to Proxylity, follow these steps:
Listeners in Proxylity represent the IP ports you've enabled and contain settings for the Destination(s) to which packets are to be delivered, and the Client Restrictions controlling which traffic sources (clients) to allow.
Destinations in Proxylity represent the AWS resources that will receive the packets delivered by the UDP Gateway. This can be any AWS service that can be invoked via an API call, such as Lambda, Step Functions, Firehose, DynamoDB, SNS, SQS, S3, and CloudWatch Logs.
Proxylity delivers packets to your AWS resources in a JSON format. This format includes metadata about the packet, such as the source IP address and port, as well as the packet data itself.
Proxylity supports multi-region destinations, allowing you to deliver packets to AWS resources in multiple regions for increased availability and redundancy.
Proxylity supports batching of packets to reduce the number of API calls made to your AWS resources. This can help reduce costs and improve performance.