Today, we’re excited to announce ngrok’s integration with Datadog Logs. You can now send logs of your ngrok traffic to Datadog with just a few clicks.
We are committed to making ngrok the best choice to serve your production websites and APIs. First-class observability is a key requirement for production workloads. This release continues that investment by expanding upon our logging integrations to include Datadog Log Management alongside AWS CloudWatch Logs, Kinesis and Firehose.
The Datadog integration is simple to configure, yet powerful. With it, you can:
Capture detailed logs at the TCP or HTTP layer
Introspect ngrok middleware behaviors like the authenticated user on each HTTP request
Filter which events are sent to Datadog with CEL predicates
The Datadog Log Management integration is available in the free tier up to 10,000 events per month, so all ngrok developers can add observability to their apps in minutes.
Configuring the Datadog event destination takes only 3 steps: create a Datadog API key, set up an event subscription in ngrok, and then test the connection:
How it Works
ngrok captures traffic to your applications as it flows through our ingress platform and sends those logs to Datadog. You don’t have to change your application. A Datadog API key you specify during configuration is used to authenticate with your Datadog account.
The Datadog Log Management integration allows you to customize the observability of your ngrok traffic to the level of detail you need. You may choose to capture traffic events as either TCP Connections (Layer 4) or HTTP Requests (Layer 7).
Because ngrok is a unified ingress platform, you don't need to correlate logs between multiple proxies. All of the standard fields you’d expect from access logs like HTTP method, path, bytes sent+received and source IP address are available. When ngrok applies middleware like OAuth, mTLS or Load Balancing, your traffic log events will also include observability on the behaviors of those modules.
For instance, you may choose to include data for each request sent to Datadog about the authenticated OAuth user, whether a request was rejected by Circuit Breaker middleware, or how many bytes were saved by gzip compression.
ngrok enables you to filter exactly which events will be sent to Datadog as well as select exactly which fields within traffic event logs are captured. This enables you to cut through the noise and focus on the traffic that matters as well as to only pay for what you need to collect.
If you require finer-grain control over your visualizations, the Datadog allows you to configure both the tags and service name associated with the log messages so that you can better filter, aggregate, and compare events in Datadog visualizations. Tags and service names enable you to uniquely identify your ngrok events among other logs and craft queries, monitors and visualizations that target them without having to learn a complex or Datadog-specific query language.
Audit events are logs too
ngrok’s integration with Datadog is not limited to logging just the traffic flowing to your applications. You can use the same system to satisfy the requirements of your security and compliance teams that need to record changes in configuration and security posture by recording audit events of changes to your ngrok account in Datadog Log Management.
ngrok’s audit events are comprehensive of all CRUD operations against your ngrok account resources (API Keys, Authtokens, Domains, IP Policies, etc). Audit events include who made those changes and are captured regardless of whether those changes were made via ngrok’s API or the dashboard.
In addition to Datadog, you can also send your ngrok traffic logs to AWS services including CloudWatch Logs, Kinesis and Firehose. Want to send your traffic logs elsewhere? Let us know!
The Datadog Log Management integration is available in our free tier up to 10,000 events per month, so all ngrok developers can add observability to their apps. The following resources will help you get started:
Quickstart Guide: Follow the datadog integration guide to get started with ngrok events.
Alan Shreve is no stranger to building distributed systems at scale. He organically grew ngrok from zero to 5 million users before raising a $50 million Series A. He’s dedicated to empowering developers to build a safer and more secure internet.