Once profiling is enabled, the following profile types are collected for supported Java versions:

CPU

The time each method spent running on the CPU. It includes your code that runs in the JVM (for example, Java, Kotlin), but not JVM operations or native code called from within the JVM.

Allocations

The number of heap allocations made by each method, including allocations which were subsequently freed.
Requires: Java 11

Allocated Memory

The amount of heap memory allocated by each method, including allocations which were subsequently freed.
Requires: Java 11

Heap Live Objects (in Preview, 1.17.0+)

The number of objects allocated by each method in heap memory that have not yet been garbage collected. This is useful for investigating the overall memory usage of your service and identifying potential memory leaks.
Requires: Java 11

Heap Live Size (in Preview, 1.39.0+)

The amount of heap memory allocated by each method that has not yet been garbage collected. This is useful for investigating the overall memory usage of your service and identifying potential memory leaks.
Requires: Java 11.0.23+, 17.0.11+, 21.0.3+ or 22+

Wall Time in Native Code

The elapsed time spent in native code. Elapsed time includes time when code is running on CPU, waiting for I/O, and anything else that happens while the method is running. This profile does not include time spent running JVM bytecode, which is typically most of your application code.

Class Load

The number of classes loaded by each method.

Thrown Exceptions

The number of errors and exceptions thrown by each method, as well as their type.

File I/O

The time each method spent reading from and writing to files.

Lock

The time each method spent waiting for a lock.

Socket I/O

The time each method spent reading from and writing to socket I/O.

Once profiling is enabled, the following profile types are collected, depending on your Python version as noted:

Wall Time

The elapsed time used by each function. Elapsed time includes time when code is running on CPU, waiting for I/O, and anything else that happens while the function is running.
Requires: Python 2.7+

Lock Wait Time

The time each function spent waiting for a lock.
Requires: Python 2.7+

Locked Time

The time each function spent holding a lock.
Requires: Python 2.7+

Lock Acquires

The number of times each function acquired a lock.
Requires: Python 2.7+

Lock Releases

The number of times each function released a lock.
Requires: Python 2.7+

CPU

The time each function spent running on the CPU, including Python and native code.
Requires: Python 2.7+, POSIX platform

Heap Live Size

The amount of heap memory allocated by each function that has not yet been garbage collected. This is useful for investigating the overall memory usage of your service and identifying potential memory leaks.
Requires: Python 3.5+

Allocated Memory

The amount of heap memory allocated by each function, including allocations which were subsequently freed.
Requires: Python 3.5+

Allocations

The number of heap allocations made by each function, including allocations which were subsequently freed.
Requires: Python 3.5+

Thrown Exceptions

The number of caught or uncaught exceptions raised by each function, as well as their type.
Requires: Python 3.7+, POSIX platform

Once profiling is enabled, the following profile types are collected for supported Go versions:

CPU Time

The time each function spent running on the CPU. Off-CPU time such as waiting for Networking, Channels, Mutexes, and Sleep are not captured in this profile. See Mutex and Block profiles.

Allocations

The number of objects allocated by each function in heap memory during the profiling period (default: 60s), including allocations which were subsequently freed. Go calls this alloc_objects. Stack allocations are not tracked. This is useful for investigating garbage collection load. See also the note about how this measure changes in version 1.33.0 in Delta profiles.

Allocated Memory

The amount of heap memory allocated by each function during the profiling period (default: 60s), including allocations which were subsequently freed. Go calls this alloc_space. Stack allocations are not tracked. This is useful for investigating garbage collection load. See also the note about how this measure changes in version 1.33.0 in Delta profiles.

Heap Live Objects

The number of objects allocated by each function in heap memory that have not yet been garbage collected. Go calls this inuse_objects. This is useful for investigating the overall memory usage of your service and identifying potential memory leaks.

Heap Live Size

The amount of heap memory allocated by each function that has not yet been garbage collected. Go calls this inuse_space. This is useful for investigating the overall memory usage of your service and identifying potential memory leaks.

Mutex

The time functions have been waiting on mutexes during the profiling period (default: 60s). The stack traces in this profile point the Unlock() operation that allowed another goroutine blocked on the mutex to proceed. Short mutex contentions using spinlocks are not captured by this profile, but can be seen in the CPU profile. See also the note about how this measure changes in version 1.33.0 in Delta profiles.

Block

The time functions have been waiting on mutexes and channel operations during the profiling period (default: 60s). Sleep, GC, Network, and Syscall operations are not captured by this profile. Blocking operations are only captured after they become unblocked, so this profile cannot be used to debug applications that appear to be stuck. For mutex contentions, the stack traces in this profile point to blocked Lock() operations. This tells you where your program is getting blocked, while the mutex profile tells you what part of your program is causing the contention. See Datadog’s Block Profiling in Go research for more in-depth information. See also the note about how this measure changes in version 1.33.0 in Delta profiles. Note: The block profiler can cause noticeable overhead for production workloads. If enabling it in production, prefer high rates (such as 100000000, which is 100 milliseconds) and look for signs of increased latency or CPU utilization.

Goroutines

A snapshot of the number of goroutines currently executing the same functions (both on-CPU and waiting off-CPU). An increasing number of goroutines between snapshots can indicate that the program is leaking goroutines. In most healthy applications this profile is dominated by worker pools and the number of goroutines they use. Applications that are extremely latency-sensitive and use a large number of goroutines (> 10.000) should be aware that enabling this profile requires stop-the-world pauses. The pauses occur only once every profiling period (default 60s) and normally last for around 1µsec per goroutine. Typical applications with a p99 latency SLO of around 100ms can generally ignore this warning. See Datadog’s Goroutine Profiling in Go research for more in-depth information.

Delta profiles

Once profiling is enabled, the following profile types are collected for supported Ruby versions:

CPU

The time each function spent running on the CPU, including Ruby and native code.

Wall Time

The elapsed time used by each function. Elapsed time includes time when code is running on CPU, waiting for I/O, and anything else that happens while the function is running.

Allocations (v2.3.0+)

The number of objects allocated by each method during the profiling period (default: 60s), including allocations which were subsequently freed. This is useful for investigating garbage collection load.
Requires: Manual enablement

Heap Live Objects (alpha, v2.3.0+)

The number of objects allocated by each method in heap memory that have not yet been garbage collected. This is useful for investigating the overall memory usage of your service and identifying potential memory leaks.
Requires: Ruby 3.1+ and manual enablement

Heap Live Size (alpha, v2.3.0+)

The amount of heap memory allocated by each method that has not yet been garbage collected. This is useful for investigating the overall memory usage of your service and identifying potential memory leaks.
Requires: Ruby 3.1+ and manual enablement

GVL profiling (in Timeline) (preview, v2.4.0+)

Records time when threads are prevented from working by other “noisy neighbor” threads, including background threads. This is useful for investigating latency spikes in the application when using the timeline visualization.
Requires: Ruby 3.2+ and manual enablement

Once profiling is enabled, the following profile types are collected for supported Node.js versions:

CPU

The time each function spent running on the CPU, including JavaScript and native code.

Wall Time

The elapsed time used by each function. Elapsed time includes time when code is running on CPU, waiting for I/O, and anything else that happens while the function is running.

Heap Live Size

The amount of heap memory allocated by each function that has not yet been garbage collected. This is useful for investigating the overall memory usage of your service and identifying potential memory leaks.

Once profiling is enabled, the following profile types are collected for supported .NET versions:

Wall Time

The elapsed time spent in managed methods. Elapsed time includes time when code is running on CPU, waiting for I/O, and anything else that happens while the method is running.

CPU (v2.15+)

The time each method spent running on the CPU.

Thrown Exceptions (v2.31+)

The number of caught or uncaught exceptions raised by each method, as well as their type and message.

Allocations (in Preview, v2.18+)

The number and size of allocated objects by each method, as well as their type.
Requires: .NET Framework (with Datadog Agent 7.51+ and v3.2+) / .NET 6+

Lock (v2.49+)

The number of times threads are waiting for a lock and for how long.
Requires: Preview .NET Framework (requires Datadog Agent 7.51+) / .NET 5+

Live Heap (in Preview, v2.22+)

A subset of the allocated objects (with their class name) that are still in memory.
Requires: .NET 7+

Once profiling is enabled, the following profile types are collected for supported PHP versions:

Wall Time

The elapsed time used by each function. Elapsed time includes time when code is running on CPU, waiting for I/O, and anything else that happens while the function is running.

CPU

Shows the time each function spent running on the CPU.

Allocations (v0.88+)

The number of allocations by each function during the profiling period (default: 67s), including allocations which were subsequently freed. Stack allocations are not tracked.
Note: Not available when JIT is active on PHP 8.0.0-8.1.20 and 8.2.0-8.2.7

Allocated memory (v0.88+)

The amount of heap memory allocated by each function during the profiling period (default: 67s), including allocations which were subsequently freed. Stack allocations are not tracked.
Note: Not available when JIT is active on PHP 8.0.0-8.1.20 and 8.2.0-8.2.7

Thrown Exceptions (v0.92+)

The number of caught or uncaught exceptions raised by each method, as well as their type.

Once profiling is enabled, the following profile types are collected for supported languages and versions:

CPU

The time each function spent running on the CPU.

Allocations

The number of allocations by each function during the profiling period (default: 59s), including allocations which were subsequently freed. Stack allocations are not tracked.

Allocated memory

The amount of heap memory allocated by each function during the profiling period (default: 59s), including allocations which were subsequently freed. Stack allocations are not tracked.