The profiler code is a sub-package in the [dd-trace-go](https://github.com/DataDog/dd-trace-go/tree/v1/profiler) repo. Basic integration is described in the [Getting Started](https://docs.datadoghq.com/tracing/profiler/getting_started/?tab=go) guide, and the [package docs](https://pkg.go.dev/gopkg.in/DataDog/dd-trace-go.v1/profiler#pkg-constants) explain additional API options. The minimum required Go version is 1.12.
Users invoke the profiler by calling `profiler.Start()` with a few options, especially tags for identifying the source of the data. Every 60s the profiler then takes a 15s CPU profile as well as a heap profile and uploads it using the [payload format](#payload-format) described below.
The data is sent to the local [datadog agent](https://docs.datadoghq.com/agent/) which forwards it to Datadog's backend. It's also possible to directly upload the profiles without an agent using an API key is given, but this method is deprecated and not supported.
The [`Start()`](https://pkg.go.dev/gopkg.in/DataDog/dd-trace-go.v1/profiler#Start) function invokes two background goroutines. The `collect()` routine captures profiling data as a `batch` struct and puts it into a Go channel for the `send()` routine to read. More details can be seen below.
A `batch` has a `start` and an `end` time as well as a slice of `profiles`. Each profile corresponds to one of the supported [profile type](https://pkg.go.dev/gopkg.in/DataDog/dd-trace-go.v1/profiler#ProfileType), e.g. CPU, Heap, etc..
I'm [felixge](https://github.com/felixge) and work at [Datadog](https://www.datadoghq.com/) on [Continuous Profiling](https://www.datadoghq.com/product/code-profiling/) for Go. You should check it out. We're also [hiring](https://www.datadoghq.com/jobs-engineering/#all&all_locations) : ).