Features | Pricing | Documentation | Contact | Blog

UDP to HTTP: Bridging Protocols Across Clouds

By Lee Harding | November 17, 2025 | 6 min read
UDP to HTTP: via API Gateway to Adafruit IO

What if your sallest UDP-based IoT sensors could send data directly to cloud platforms like Adafruit IO? What if UDP monitoring systems could trigger workflows in the Zapier automation platforms? What if legacy protocols could integrate with modern REST APIs, keeping your developers in the environment they know -- all without managing servers or protocol translation?

With Proxylity's new API Gateway destination support, UDP traffic can now be directed to any HTTP/HTTPS endpoint, unlocking integration patterns that were previously impractical. We've built a complete working example with Adafruit IO, and the same architectural pattern to a broad array of cross-cloud integrations, automation platforms, and custom webhooks.

The Missing Bridge

UDP and HTTP live in different worlds. UDP excels at low-latency, low bandwidth, stateless communication and is perfect for IoT sensors, gaming, network monitoring, and a variety of enterprise protocols. HTTP dominates modern APIs, cloud functions, and automation platforms and is the mainstream developer choice.

Traditionally, bridging these protocols meant:

Now there's a simpler way. API Gateway destinations act as a serverless protocol bridge, handling the UDP-to-HTTP translation while leveraging AWS's managed infrastructure.

Inside-Out Integration

The architecture is elegantly simple:

  1. UDP client sends packet to Proxylity listener
  2. Proxylity routes packet to API Gateway destination (with IAM auth)
  3. API Gateway transforms the request and calls external HTTP endpoint
  4. External service processes and returns HTTP response
  5. Response flows back through API Gateway to UDP client

This "inside-out" pattern means your UDP infrastructure can reach external services without exposing inbound HTTP endpoints or managing VPN tunnels. The security boundary stays intact—you control exactly which external APIs can be invoked via IAM policies.

Cross-Cloud Integration Unlocked

IoT Sensors Meet Cloud Platforms

Our example implementation demonstrates UDP-to-HTTP integration with Adafruit IO, an IoT backend platform with dashboarding and actions. The complete example shows how environmental sensors can send UDP data directly to Adafruit IO feeds for visualization and triggering workflows, all defined in CloudFormation with no servers or runtime code to manage.

The pattern is straightforward:

The Same Pattern Could Work With GCP

The Adafruit IO integration proves the architecture. The same pattern could work with Google Cloud Platform—imagine IoT sensors deployed across manufacturing facilities, sending UDP telemetry data that triggers GCP's Vertex AI for ML-powered anomaly detection.

With API Gateway destinations:

No protocol translation servers. No cross-cloud VPN setup. Just configure API Gateway's HTTP integration to point at your Cloud Function's HTTPS endpoint, add IAM permissions, and deploy.

The VTL transformation in API Gateway handles schema mapping:

#set($packet = $input.path('$.Messages[0]'))
{
  "sensor_id": "$packet.Remote.IpAddress",
  "timestamp": "$packet.ReceivedAt",
  "telemetry": "$util.base64Decode($packet.Data)",
  "facility_id": "$context.requestId"
}

Your GCP function receives clean, structured JSON—unaware it originated from a UDP packet.

Azure Functions from the Edge

Similar patterns work with Azure. UDP-based network monitoring tools can trigger Azure Logic Apps for incident response workflows, or invoke Azure Functions for custom processing:

The power here isn't just protocol translation—it's the ability to compose services across cloud providers without vendor lock-in. Your monitoring stays in AWS where you have data residency requirements, but incident workflows leverage your existing Azure investments.

Automation Platform Integration

Zapier Workflows from UDP

SYSLOG messages triggering Zapier workflows? Absolutely.

The same pattern used for Adafruit IO can be applied to other automation platforms. Configure a Zapier or IFTTT webhook trigger, point API Gateway at it, and every SYSLOG message can:

The VTL template extracts the syslog severity and message:

#set($log = $util.base64Decode($input.path('$.Messages[0].Data')))
{
  "severity": "$log.substring(1,2)",
  "message": "$log.substring($log.indexOf('>') + 1)",
  "timestamp": "$input.path('$.Messages[0].ReceivedAt')",
  "source": "$input.path('$.Messages[0].Remote.IpAddress')"
}

Zapier receives webhook calls matching its expected schema, completely abstracted from UDP origins.

Make, n8n, and Custom Automation

The same architectural pattern works with:

Each platform expects HTTP webhooks, and API Gateway handles the translation from UDP seamlessly.

Real-World Use Case: Game Server Monitoring

Consider a game studio running multiplayer servers across AWS regions. Game servers emit UDP metrics (player counts, latency, match results) every second. The development team built a real-time monitoring dashboard as a custom UDP server app and deploy and maintain it on a fleet of VMs.

Before: EC2 instances running custom UDP servers in each region, converting game server metrics to HTTP for posting to dashboards. Operational overhead: always on costs, patching, monitoring, scaling the fleet.

After: API Gateway destination pointing at the dashboard's webhook endpoint. VTL template transforms UDP packets into the dashboard's expected JSON format. Operational overhead: zero.

IAM-Secured External Calls

Here's what makes this pattern particularly powerful: fine-grained IAM control over external service access.

Unlike webhook URLs (security through obscurity) or API keys (shared secrets to rotate), IAM policies provide resource-level permissions:

{
  "Version": "2012-10-17",
  "Statement": [
    {
      "Sid": "AllowAdafruitIO",
      "Effect": "Allow",
      "Action": "execute-api:Invoke",
      "Resource": "arn:aws:execute-api:us-east-1:123456789012:xyz/prod/POST/adafruit/*"
    },
    {
      "Sid": "AllowCustomDashboard",
      "Effect": "Allow",
      "Action": "execute-api:Invoke",
      "Resource": "arn:aws:execute-api:us-east-1:123456789012:xyz/prod/POST/dashboard"
    }
  ]
}

This policy explicitly authorizes calling Adafruit IO feeds and a custom dashboard endpoint. Any attempt to invoke other routes, even if someone discovers the API Gateway URL, fails at the IAM layer.

Benefits:

Debugging Multi-Cloud Flows

When UDP packets flow through API Gateway to external services, debugging requires visibility at multiple layers.

Three-Layer Observability

Layer 1: UDP Payload Capture

Use composite destinations to log original UDP packets to CloudWatch Logs before transformation:

Destinations:
  - Name: gcp-function
    DestinationArn: arn:aws:execute-api:...
  - Name: udp-debug
    DestinationArn: arn:aws:logs:us-east-1:123456789012:log-group:/debug/udp

Layer 2: API Gateway Execution Logs

Enable CloudWatch logging in API Gateway to see VTL transformations, backend calls, and responses:

MethodSettings:
  - LoggingLevel: INFO
    DataTraceEnabled: true  # Full request/response bodies

Layer 3: External Service Logs

Check the destination service's native logging (Adafruit IO activity logs, or Cloud Logging for GCP, Application Insights for Azure, Task History for Zapier in potential future integrations).

With all three layers visible, you can trace a single UDP packet's journey from sender → Proxylity → API Gateway → external API → response → back to sender.

HTTP API vs REST API: When to Use Each

AWS API Gateway offers two types, each suited to different scenarios:

HTTP API: Simple Passthrough

REST API: Full Transformation

In practice, unless you're calling a custom service that accepts Proxylity's standard packet format, you'll use REST API for the transformation capabilities.

Getting Started

Ready to bridge UDP to HTTP? The udp-to-http folder in our examples repository includes a complete working example:

This example demonstrates the full pattern that can be adapted for other external services like GCP Cloud Functions, Azure webhooks, Zapier triggers, or custom APIs. The architectural approach remains the same—only the VTL transformation and endpoint URL change.

For comprehensive guidance on external integrations, security patterns, and debugging workflows, see the Integrating Outside AWS documentation.

What This Unlocks

UDP-to-HTTP bridging isn't just about protocol translation—it's about architectural flexibility.

You can now:

All without managing servers, protocol proxies, or complex networking.

The cloud isn't one vendor's walled garden—it's an ecosystem of services across providers and platforms. API Gateway destinations make that ecosystem accessible to UDP-based systems, opening integration possibilities that were previously too costly or complex to implement.

What will you build?

Bridge Your UDP Traffic to HTTP APIs

Get started with Proxylity UDP Gateway today. No upfront costs – pay only for what you use.

Buy with AWS View Adafruit IO Example Integration Guide