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* prometheus-net.DotNetRuntime v4.0.0 ## Summary A large refactor that aims to make this library far more stable and performant by default. Event counters are now the default source of metrics while more detailed events can be enabled manually when required (see `CaptureLevel`). ## Changes ### Breaking changes - Dropped support for `prometheus-net` v2. - Dropped support for `netcoreapp2.2` - `WithThreadPoolSchedulingStats` has been removed- it was both a performance hog and incorrect (the IDs of the start/stop events were not stable). May consider adding this in a later release as .NET 5.0 should have fixed the stable IDs issue. - `DotNetRuntimeStatsBuilder.Default()` now only uses event counters to generate metrics. JIT metrics will not be collected (there are no JIT-related event counters in .NET core 3.1). Plan to add support for .NET 5.0 in a later release. You can restore more detailed metrics by using `DotNetRuntimeStatsBuilder.Customize()` and passing a custom `CaptureLevel`. - Renamed `dotnet_gc_collection_reasons_total` -> `dotnet_gc_collection_count_total` ## Additions/ enhancements - Added new threadpool metrics: `dotnet_threadpool_throughput_total`, `dotnet_threadpool_queue_length` and `dotnet_threadpool_timer_count` - Added `dotnet_gc_memory_total_available_bytes` to track the total amount of memory .NET can allocate to (this takes into account docker memory limits) - Added ability to configure the source of majority of collectors- can either be driven solely by event counters (`CaptureLevel.Counters`) or event listeners for more detailed metrics. - Added support for recycling `EventListener`s periodically (`net5.0` only as `netcoreapp3.1` is impacted by dotnet/runtime#49804). - Improved the collection of debugging metrics available - Added documentation around metrics exposed - Added an example `docker-compose` stack that can be used for testing and experimentation ## Fixes - #9 - #10 - #20 - #33 - #35 - #39 * Adding dedicated `netcoreapp3.1` and `net5.0` test jobs * Fixing test job names * Specifying framework to run tests for * Hopefully this get's things working.. * Excluding mysteriously failing test * Fixing filter flag
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.github/workflows/publish-nuget-packages.yaml

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release:
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types: [published, prereleased]
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jobs:
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publish-v2:
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jobs:
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publish:
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runs-on: ubuntu-latest
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steps:
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- uses: actions/checkout@v1
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- uses: actions/setup-dotnet@v1
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with:
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dotnet-version: '5.0.100'
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- run: dotnet pack src/prometheus-net.DotNetRuntime --include-symbols -c "ReleaseV2" --output "build/"
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- run: dotnet nuget push "build/prometheus-net.DotNetRuntime.2.*.symbols.nupkg" -k ${{ secrets.NUGET_API_KEY }} -s "https://api.nuget.org/v3/index.json" -n true
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publish-v3:
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runs-on: ubuntu-latest
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steps:
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- uses: actions/checkout@v1
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- uses: actions/setup-dotnet@v1
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with:
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dotnet-version: '5.0.100'
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- run: dotnet pack src/prometheus-net.DotNetRuntime --include-symbols -c "ReleaseV3" --output "build/"
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- run: dotnet nuget push "build/prometheus-net.DotNetRuntime.3.*.symbols.nupkg" -k ${{ secrets.NUGET_API_KEY }} -s "https://api.nuget.org/v3/index.json" -n true
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- run: arrTag=(${GITHUB_REF//\// })
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- run: VERSION="${arrTag[2]}"
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- run: echo "Version is $VERSION"
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- run: dotnet pack src/prometheus-net.DotNetRuntime --include-symbols -c "Release" -p:PackageVersion=$VERSION --output "build/"
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- run: dotnet nuget push "build/prometheus-net.DotNetRuntime.*.symbols.nupkg" -k ${{ secrets.NUGET_API_KEY }} -s "https://api.nuget.org/v3/index.json" -n true

.github/workflows/run-tests.yaml

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pull_request:
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jobs:
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test-v2:
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test:
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runs-on: ubuntu-latest
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steps:
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- uses: actions/checkout@v1
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- uses: actions/setup-dotnet@v1
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- name: Setup .NET Core 3.1
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uses: actions/setup-dotnet@v1
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with:
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dotnet-version: 3.1.x
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- name: Setup .NET Core 5.0
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uses: actions/setup-dotnet@v1
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with:
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dotnet-version: '5.0.100'
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# excluding When_IO_work_is_executed_on_the_thread_pool_then_the_number_of_io_threads_is_measured for now, for some reason we don't seem to be
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# generating IO thread events in the github actions environment
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- run: dotnet test -c "DebugV2" --filter Name!=When_IO_work_is_executed_on_the_thread_pool_then_the_number_of_io_threads_is_measured
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test-v3:
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runs-on: ubuntu-latest
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steps:
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dotnet-version: 5.0.x
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- uses: actions/checkout@v1
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- uses: actions/setup-dotnet@v1
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with:
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dotnet-version: '5.0.100'
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- run: dotnet test -c "DebugV3" --filter Name!=When_IO_work_is_executed_on_the_thread_pool_then_the_number_of_io_threads_is_measured
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# This test constantly passes localy (windows + linux) but fails in the test environment. Don't have the time/ inclination to figure out why this is right now..
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- run: dotnet test -c "Debug" --filter Name!=When_blocking_work_is_executed_on_the_thread_pool_then_thread_pool_delays_are_measured

README.md

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# prometheus-net.DotNetMetrics
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A plugin for the [prometheus-net](https://github.com/prometheus-net/prometheus-net) package, exposing .NET core runtime metrics including:
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A plugin for the [prometheus-net](https://github.com/prometheus-net/prometheus-net) package, [exposing .NET core runtime metrics](docs/metrics-exposed.md) including:
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- Garbage collection collection frequencies and timings by generation/ type, pause timings and GC CPU consumption ratio
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- Heap size by generation
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- Bytes allocated by small/ large object heap
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- Lock contention
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- Exceptions thrown, broken down by type
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These metrics are essential for understanding the peformance of any non-trivial application. Even if your application is well instrumented, you're only getting half the story- what the runtime is doing completes the picture.
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These metrics are essential for understanding the performance of any non-trivial application. Even if your application is well instrumented, you're only getting half the story- what the runtime is doing completes the picture.
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## Installation
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Supports .NET core v2.2+ but **.NET core v3.0+ is recommended**. There are a [number of bugs present in the .NET core 2.2 runtime](https://github.com/djluck/prometheus-net.DotNetRuntime/issues?q=is%3Aissue+is%3Aopen+label%3A".net+core+2.2+bug")
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that can impact metric collection or runtime stability.
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## Using this package
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### Requirements
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- .NET core 3.1 (runtime version 3.1.11+ is recommended)/ .NET 5.0
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- The [prometheus-net](https://github.com/prometheus-net/prometheus-net) package
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Add the packge from [nuget](https://www.nuget.org/packages/prometheus-net.DotNetRuntime):
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### Install it
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The package can be installed from [nuget](https://www.nuget.org/packages/prometheus-net.DotNetRuntime):
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```powershell
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# If you're using v3.* of prometheus-net
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dotnet add package prometheus-net.DotNetRuntime
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# If you're using v2.* of prometheus-net
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dotnet add package prometheus-net.DotNetRuntime --version 2.2.0
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```
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And then start the collector:
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### Start collecting metrics
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You can start metric collection with:
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```csharp
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IDisposable collector = DotNetRuntimeStatsBuilder.Default().StartCollecting()
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```
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.Customize()
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.WithContentionStats()
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.WithJitStats()
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.WithThreadPoolSchedulingStats()
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.WithThreadPoolStats()
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.WithGcStats()
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.WithExceptionStats()
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.StartCollecting();
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```
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Once the collector is registered, you should see metrics prefixed with `dotnet_` visible in your metric output (make sure you are [exporting your metrics](https://github.com/prometheus-net/prometheus-net#http-handler)).
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## Sample Grafana dashboard
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The metrics exposed can drive a rich dashboard, giving you a graphical insight into the performance of your application ( [exported dashboard available here](examples/NET_runtime_metrics_dashboard.json)):
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![Grafana dashboard sample](docs/grafana-example.PNG)
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## Performance impact
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### Choosing a `CaptureLevel`
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By default the library will default generate metrics based on [event counters](https://docs.microsoft.com/en-us/dotnet/core/diagnostics/event-counters). This allows for basic instrumentation of applications with very little performance overhead.
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You can enable higher-fidelity metrics by providing a custom `CaptureLevel`, e.g:
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```
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DotNetRuntimeStatsBuilder
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.Customize()
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.WithGcStats(CaptureLevel.Informational)
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.WithExceptionStats(CaptureLevel.Errors)
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...
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```
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Most builder methods allow the passing of a custom `CaptureLevel`- see the [documentation on exposed metrics](docs/metrics-exposed.md) for more information.
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### Performance impact of `CaptureLevel.Errors`+
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The harder you work the .NET core runtime, the more events it generates. Event generation and processing costs can stack up, especially around these types of events:
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- **JIT stats**: each method compiled by the JIT compiler emits two events. Most JIT compilation is performed at startup and depending on the size of your application, this could impact your startup performance.
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- **GC stats**: every 100KB of allocations, an event is emitted. If you are consistently allocating memory at a rate > 1GB/sec, you might like to disable GC stats.
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- **.NET thread pool scheduling stats**: For every work item scheduled on the thread pool, two events are emitted. If you are scheduling thousands of items per second on the thread pool, you might like to disable scheduling events or decrease the sampling rate of these events.
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- **GC stats with `CaptureLevel.Verbose`**: every 100KB of allocations, an event is emitted. If you are consistently allocating memory at a rate > 1GB/sec, you might like to disable GC stats.
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### Sampling
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To counteract some of the performance impacts of measuring .NET core runtime events, sampling can be configured on supported collectors:
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```csharp
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IDisposable collector = DotNetRuntimeStatsBuilder.Customize()
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// Only 1 in 10 contention events will be sampled
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.WithContentionStats(sampleRate: SampleEvery.TenEvents)
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// Only 1 in 100 JIT events will be sampled
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.WithJitStats(sampleRate: SampleEvery.HundredEvents)
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// Every event will be sampled (disables sampling)
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.WithThreadPoolSchedulingStats(sampleRate: SampleEvery.OneEvent)
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.StartCollecting();
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```
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There is also a [performance issue present in .NET core 3.1](https://github.com/dotnet/runtime/issues/43985#issuecomment-800629516) that will see CPU consumption grow over time when long-running trace sessions are used.
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The default sample rates are listed below:
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## Examples
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An example `docker-compose` stack is available in the [`examples/`](examples/) folder. Start it with:
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| Event collector | Default sample rate |
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| ------------------------------ | ------------------------|
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| `ThreadPoolSchedulingStats` | `SampleEvery.TenEvents` |
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| `JitStats` | `SampleEvery.TenEvents` |
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| `ContentionStats` | `SampleEvery.TwoEvents` |
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```
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docker-compose up -d
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```
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You can then visit [`http://localhost:3000`](http://localhost:3000) to view metrics being generated by a sample application.
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While the default sampling rates provide a decent balance between accuracy and resource consumption if you're concerned with the accuracy of metrics at all costs,
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then feel free to change the sampling rate to `SampleEvery.OneEvent`. If minimal resource consumption (especially memory), is your goal you might like to
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reduce the sampling rate.
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### Grafana dashboard
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The metrics exposed can drive a rich dashboard, giving you a graphical insight into the performance of your application ( [exported dashboard available here](examples/grafana/provisioning/dashboards/NET_runtime_metrics_dashboard.json)):
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![Grafana dashboard sample](docs/grafana-example.PNG)
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## Further reading
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- The mechanism for listening to runtime events is outlined in the [.NET core 2.2 release notes](https://docs.microsoft.com/en-us/dotnet/core/whats-new/dotnet-core-2-2#core).

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