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
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 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
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
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
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
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
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
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

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.

Kubernetes

Harness automation and AI to simplify Kubernetes observability at scale.

OpenTelemetry

Ingest and analyze OpenTelemetry traces & metrics, set alarms & 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 infrastructure and apps teams

Distributed Traces Classic

Capture distributed traces with code-level visibility, topology, and metadata.

Runtimes

Java

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

.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

End-to-end observability for your Python applications.

PHP

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

Observability frameworks

OpenTelemetry

Ingest and analyze OpenTelemetry traces & metrics, set alarms & view in context

Micrometer

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

Prometheus

Open-source toolkit for monitoring and alerting on infrastructure metrics.

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

Intelligent end-to-end observability for serverless and hybrid environments using Azure App Services.

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 intelligent 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)

Automatic and intelligent observability for MSMQ with end-to-end traces of connected producers and consumers.

Application stacks

Reactor Core

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

Spring

Automatic and intelligent end-to-end observability for your Java Spring applications.

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.

Sencha ExtJS

JavaScript application framework for building interactive cross platform web applications.

Vert.x

Extend observability by seamlessly integrating OpenTracing data emitted by the Vert.x web framework into PurePath® distributed traces.

More resources

Wildfly

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

Eclipse OpenJ9

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

Oracle Hotspot VM

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

IBM IMS SOAP Gateway

Intelligently monitor your transactions end-to-end and analyze the performance of your IMS SOAP Gateway.

IBM z/OS Connect Enterprise Edition

Modernize to hybrid cloud infrastructure with end-to-end observability from the mainframe to the cloud, and everything in between.

Adobe PhoneGap

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

DC/OS

Monitor application and cluster health in highly-dynamic container environments.

Cloud Foundry

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

Azul Platform Core (Zulu)

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

Adobe Experience Manager Cloud Service

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

Dojo

Modular JavaScript library open source based.

Drupal

Web content management for back-end framework.

IBM CICS Transaction Server

Intelligently monitor, analyze and optimize your transactions end-to-end including the related CICS regions.

Connection Pools: WebLogic

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

Linux

Family of open source Unix-like operating systems based on the Linux kernel.

Compliance Assistant

Manage compliance with automated checks and incident handling out-of-the-box.

coming soon

IBM WebSphere Liberty for z/OS

Automatically and intelligently monitor, analyze, and optimize your application server and all applications deployed on it.

Debian

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

OpenJDK

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

GlassFish

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

WordPress

Content management system written in PHP and paired with a MySQL or MariaDB database.

gRPC

Open source remote procedure call (RPC) system.

Telegraf

Monitor hundreds of Telegraf provided plugins and metrics with Dynatrace.

KVM

Monitor health and performance of KVM virtual machines from the system’s perspective.

MooTools

Object-oriented JavaScript framework. Released under the free, open-source MIT License.

Perl

Perl is a family of two high-level, general-purpose, interpreted, dynamic programming languages.

Apache Tomcat

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

PHP-FPM

Monitor the PHP-FPM status of your applications with this extension.

Angular

Platform for building mobile and desktop web applications.

Heroku

Platform as a service that enables developers to build, run, and operate applications in the cloud.

SUSE Linux Enterprise Server

Distributed system and application software from other open source projects.

StatsD

The easiest way to get your custom application metrics into Dynatrace.

MuleSoft

Event source enabling you to set up an HTTP server and trigger flows when requests are received.

IBM Bluemix

Architecture diagram templates to create your own architectures using simple icons.

Yii

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

Apache Axis2

Core engine for Web services.

Apache Zookeeper

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

IBM z/OS

Intelligently monitor the performance and availability of your LPARs and regions.

Java JDBC

Application programming interface for the Java, defines access to a database.

Oracle Solaris

Provides proven, enterprise-class security, reliability, and performance for SPARC and x86 systems.

HTML5

Markup language used for structuring and presenting content on the web.

VMware Tanzu

Harness automation and AI to simplify Kubernetes observability at scale.

BellSoft Liberica

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

OpenMetrics

OpenMetrics is a universal, scalable metric standard.

Huawei JVM

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.

etcd for OpenShift

Get deep insights into your self-managed OpenShift control plane using etcd metrics exposed on your cluster.

Nutanix AHV

Monitor health and performance of Nutanix AHV virtual machines from the system’s perspective.

Are you looking for something different?

We have hundreds of apps, extensions, and other technologies to customize your environment

Extend your knowledge

Provided by

Resources

Support

Full version history

Full version history