.NET monitoring & observability

Metric name	Metric key	Description	Unit
Total bytes in all heaps	dotnet.memory.numberbytesinallheaps	This counter is the sum of four other counters; Gen 0 Heap Size; Gen 1 Heap Size; Gen 2 Heap Size and the Large Object Heap Size. This counter indicates the current memory allocated in bytes on the GC Heaps.	Byte
Total commited bytes	dotnet.memory.numbertotalcommittedbytes	This counter displays the amount of virtual memory (in bytes) currently committed by the Garbage Collector. (Committed memory is the physical memory for which space has been reserved on the disk paging file).	Bytes
Percent of time in GC	dotnet.memory.percenttimeingc	The percentage of elapsed time that was spent in performing a garbage collection (GC) since the last GC cycle. This counter is usually an indicator of the work done by the Garbage Collector on behalf of the application to collect and compact memory. This counter is updated only at the end of every GC and the counter value reflects the last observed value; its not an average.	Percent

Metric name	Metric key	Description	Unit
Gen 0 collections	dotnet.memory.numbergen0collections.count	This counter displays the number of times the generation 0 objects (youngest; most recently allocated) are garbage collected (Gen 0 GC) since the start of the application. Gen 0 GC occurs when the available memory in generation 0 is not sufficient to satisfy an allocation request. This counter is incremented at the end of a Gen 0 GC. Higher generation GCs include all lower generation GCs. This counter is explicitly incremented when a higher generation (Gen 1 or Gen 2) GC occurs. _Global_ counter value is not accurate and should be ignored. This counter displays the last observed value.	Count
Gen 1 collections	dotnet.memory.numbergen1collections.count	This counter displays the number of times the generation 1 objects are garbage collected since the start of the application. The counter is incremented at the end of a Gen 1 GC. Higher generation GCs include all lower generation GCs. This counter is explicitly incremented when a higher generation (Gen 2) GC occurs. _Global_ counter value is not accurate and should be ignored. This counter displays the last observed value.	Count
Gen 2 collections	dotnet.memory.numbergen2collections.count	This counter displays the number of times the generation 2 objects (older) are garbage collected since the start of the application. The counter is incremented at the end of a Gen 2 GC (also called full GC). _Global_ counter value is not accurate and should be ignored. This counter displays the last observed value.	Count
Total reserved bytes	dotnet.memory.numbertotaleeservedbytes	This counter displays the amount of virtual memory (in bytes) currently reserved by the Garbage Collector. (Reserved memory is the virtual memory space reserved for the application but no disk or main memory pages have been used.)	Bytes
Gen 0 heap size	dotnet.memory.gen0heapsize	This counter displays the maximum bytes that can be allocated in generation 0 (Gen 0); its does not indicate the current number of bytes allocated in Gen 0. A Gen 0 GC is triggered when the allocations since the last GC exceed this size. The Gen 0 size is tuned by the Garbage Collector and can change during the execution of the application. At the end of a Gen 0 collection the size of the Gen 0 heap is infact 0 bytes; this counter displays the size (in bytes) of allocations that would trigger the next Gen 0 GC. This counter is updated at the end of a GC; its not updated on every allocation.	Bytes
Gen 1 heap size	dotnet.memory.gen1heapsize	This counter displays the current number of bytes in generation 1 (Gen 1); this counter does not display the maximum size of Gen 1. Objects are not directly allocated in this generation; they are promoted from previous Gen 0 GCs. This counter is updated at the end of a GC; its not updated on every allocation.	Bytes
Gen 2 heap size	dotnet.memory.gen2heapsize	This counter displays the current number of bytes in generation 2 (Gen 2). Objects are not directly allocated in this generation; they are promoted from Gen 1 during previous Gen 1 GCs. This counter is updated at the end of a GC; its not updated on every allocation.	Bytes

Metric name	Metric key	Description	Unit
Number of current logical threads	dotnet.locksandthreads.numberofcurrentlogicalthreads	This counter displays the number of current .NET thread objects in the application. A .NET thread object is created either by new System.Threading.Thread or when an unmanaged thread enters the managed environment. This counters maintains the count of both running and stopped threads. This counter is not an average over time; it just displays the last observed value.	Count
Contention rate per second	dotnet.locksandthreads.contentionratepersec	Rate at which threads in the runtime attempt to acquire a managed lock unsuccessfully. Managed locks can be acquired in many ways; by the "lock" statement in C# or by calling System.Monitor.Enter or by using MethodImplOptions.Synchronized custom attribute.	PerSecond
Number of current physical threads	dotnet.locksandthreads.numberofcurrentphysicalthreads	This counter displays the number of native OS threads created and owned by the CLR to act as underlying threads for .NET thread objects. This counters value does not include the threads used by the CLR in its internal operations; it is a subset of the threads in the OS process.	Count
Current queue length	dotnet.locksandthreads.currentqueuelength	This counter displays the total number of threads currently waiting to acquire some managed lock in the application. This counter is not an average over time; it displays the last observed value.	Count

Application Observability

Optimize your service performance, innovate faster, and collaborate efficiently with automatic and intelligent observability at scale and end-to-end distributed tracing for cloud-native workloads and enterprise apps.

Essentials

Get started with these popular tools for monitoring your applications and microservices.

OpenTelemetry

Ingest and analyze OTel traces & metrics, set health alerts & view in context.

Serverless

Seamless integration with serverless technologies to eliminate blind spots through OOTB integrations with AWS, Azure, and Google Cloud.

Kubernetes

All-in-one Kubernetes observability for K8s infrastructure and apps teams.

Distributed Tracing

Analyze and slice distributed traces by any attribute and from any source.

Runtimes

Java

Optimize Java performance with E2E monitoring and AI-driven root cause analysis.

.NET

Automatic end-to-end observability for .NET applications and processes.

Go

Automatic and intelligent end-to-end observability for Go applications.

Node.js

Automatic and intelligent end-to-end observability for Node.js applications.

Python

Trace your Python apps and services with real-time metrics and automatic RCA.

PHP

Automatic and intelligent end-to-end observability for PHP applications.

Observability frameworks

OpenTelemetry

Ingest and analyze OTel traces & metrics, set health alerts & view in context.

Micrometer

Ingest Spring metrics and put them in context of trace, log and diagnostics data.

Prometheus

Unlock Prometheus power with intelligent analytics and automated insights.

Fluentd

Stream log data to Dynatrace via Fluentd for analysis.

Fluent Bit

Stream logs to Dynatrace via Fluent Bit for analysis and AI observability.

Logstash

Stream log data from Logstash and analyze it in Dynatrace.

Serverless

AWS Lambda

Automatic and intelligent end-to-end observability of AWS Lambda traces and logs.

Azure Functions

Observability for serverless and hybrid environments using Azure Functions.

Google Cloud Functions

E2E observability for serverless and hybrid environments using Google Functions.

Azure App Service

Cloud platform for hosting websites, created and operated by Microsoft.

Azure Container Instance

Deploy and manage serverless containers on the Microsoft Azure cloud, without having to manage any underlying infrastructure.

Google Cloud Run

Dynatrace provides AI-powered observability into serverless containerized apps running on Google Cloud Run.

Databases

Redis

Automatically and intelligently observe, analyze & optimize your Redis server.

MySQL

Automatically and intelligently observe, analyze and optimize how your the usage, health and performance of your database.

Apache Cassandra

Improve Apache Cassandra observability.

Couchbase

Couchbase Capella (SaaS) database monitoring.

Message queues

Apache Kafka

Automatic and intelligent observability with trace and metric insights.

RabbitMQ

Automatic end-to-end traces of producers and consumers for RabbitMQ.

Apache ActiveMQ Classic

Automatic and smart observability for ActiveMQ with trace and metric insights.

Apache ActiveMQ Artemis

ActiveMQ Artemis observability with end-to-end producers and consumers tracers.

Microsoft Message Queuing (MSMQ)

Observability for MSMQ with end-to-end traces of connected producers/consumers.

Application stacks

Reactor Core

End-to-end trace your applications when the Reactor Core publishers Mono and Flux are used.

Spring

End-to-end observability for Java Spring apps, automatic and intelligent.

Netty

End-to-end observability for your Netty web framework with code-level insight.

IBM WebSphere Application Server

Automatically and intelligently monitor, analyze, and optimize your application server and all applications deployed anywhere in your stack.

More resources

Adobe Experience Manager Cloud Service

End-to-end observability for your Adobe Experience Manager Cloud Service.

Adobe PhoneGap

Monitor hybrid mobile apps built with Adobe PhoneGap running on iOS or Android.

Amazon Corretto

Automatically and intelligently monitor, analyze, and optimize the performance of your virtual machine.

AngularJS

JavaScript-based open-source front-end web framework mainly maintained by Google.

Apache Axis2

Core engine for Web services.

Apache Camel

Intelligently monitor, analyze, and optimize your integration framework and all applications deployed in your stack.

Apache CXF

Open-source, fully featured Web services framework.

Apache OpenEJB

Automatically and intelligently monitor, analyze and optimize your applications based on Apache OpenEJB.

Apache Tomcat

Automatically and intelligently monitor, analyze, and optimize your application server and all applications deployed anywhere in your stack.

Apache TomEE

Automatically and intelligently monitor, analyze, and optimize your application server and all applications deployed anywhere in your stack.

Apache Zookeeper

Monitor and analyze your Apache Zookeeper with this JMX-based extension.

Apigee

Remotely monitor your Apigee proxies.

Azul Platform Core (Zulu)

Automatically and intelligently monitor, analyze, and optimize the performance of your virtual machine.

Azul Platform Prime (Zing)

Automatically and intelligently monitor, analyze, and optimize the performance of your virtual machine.

Backbone.js

JavaScript library based on the Model–view–presenter application design paradigm.

BellSoft Liberica

Automatically and intelligently monitor, analyze, and optimize the performance of your virtual machine.

BOSH bpm

Automated monitoring of platform processes running in BOSH bpm containers.

C

Procedural programming language supporting lexical variable scope, and recursion.

CakePHP

Automatically and intelligently monitor, analyze, and optimize your applications developed with CakePHP.

CentOS

Community-supported computing platform compatible with Red Hat Enterprise Linux.

IBM CICS Transaction Gateway for z/OS

Intelligently monitor your transactions end-to-end and analyze the performance of your CICS Transaction Gateway on z/OS.

Cloud Foundry

Harness automation and AI to simplify observability on Cloud Foundry at scale.

Connection Pools: JBoss

Application server method of pooling and sharing connections to a database.

Connection Pools: Apache Commons

Application method of pooling and sharing multiple connections to a database.

Connection Pools: C3P0

Application server method of pooling and sharing connections to a database.

Tomcat (JMX)

JMX monitoring of Tomcat connection and thread pools, and web request activity.

Connection Pools: WebLogic

Application server method of pooling and sharing connections to a database.

Connection Pools: WebSphere Liberty

Application server method of pooling and sharing connections to a database.

Consul Service Mesh (StatsD)

Extend visibility into your Consul Service Mesh instances to monitor health and improve performance.

containerd

Distributed tracing and metrics for services in containerd in Kubernetes.

Red Hat Enterprise Linux CoreOS

Open-source lightweight OS based on the Linux, providing infrastructure to clustered deployments.

cri-o

Distributed tracing and metrics for services in cri-o containers in Kubernetes.

Observability for Developers on Cursor

Get Real time Code-Level data directly to your Cursor IDE.

Debian

Association of individuals who have made common cause to create a free operating system.

Disk Analytics

This extension allows more detailed visibility on Linux hosts' local datastores where OneAgent is installed.

Drupal

Web content management for back-end framework.

Dynatrace Bindplane

Optimize and manage your telemetry at the edge before it reaches Dynatrace.

Eclipse Jetty

Automatically and intelligently monitor and analyze your Jetty applications.

Eclipse OpenJ9

Automatically and intelligently monitor, analyze, and optimize the performance of your virtual machine.

Eclipse Temurin (Adoptium)

Automatically and intelligently monitor, analyze, and optimize the performance of your virtual machine.

Ember.js

Open-source JavaScript web framework, based on the Model–view–viewmodel pattern.

etcd for OpenShift

Get deep insights into your OpenShift control plane using etcd metrics.

Express

Fast, unopinionated, minimalist web framework for Node.js.

Fedora

Linux distribution sponsored primarily by Red Hat, a subsidiary of IBM.

Garden-RunC

Automated distributed tracing and metrics for microservices running in garden runc containers in Cloud Foundry.

GlassFish

Automatically and intelligently monitor, analyze, and optimize your application server and all applications deployed anywhere in your stack.

GraalVM Native Image

Intelligently monitor and optimize the performance of your native Java apps.

gRPC

Open source remote procedure call (RPC) system.

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