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[PROF-13293]feat: update memory leak text
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content/en/profiler/guide/solve-memory-leaks.md

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@@ -25,17 +25,16 @@ The walkthrough guides you through several steps to:
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1. Scope to the relevant data.
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2. Recommend Datadog integrations and upgrades that assist in the investigation.
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3. Explain how memory management works in your runtime.
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4. Confirm potential memory leaks by inspecting retained objects through [Profile Comparisons][2].
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4. Confirm potential memory leaks by inspecting retained objects using profile comparisons.
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## Requirements
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To use this walkthrough, you need:
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* A containerized service with either the Datadog Kubernetes integration or the Datadog Container integration installed.
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* [Continuous Profiler enabled][3].
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* Ensure that your profiles are tagged with `container_id`. This is necessary to link between container memory utilization metrics and profiling data.
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* For Java and .NET ensure that heap profiling is enabled so that heap data is available for analysis.
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* For Java: [Enabling the heap histogram metrics][6]
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* For .NET: [Heap snapshot][7]
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* For Java ([Enabling the heap histogram metrics][6]) and .NET ([Heap snapshot][7]) ensure that heap profiling is enabled so that heap data is available for analysis.
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## Get started
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[1]: /profiler/enabling/supported_versions/#profile-types
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[2]: /profiler/compare_profiles
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[3]: /profiler/enabling
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[4]: https://app.datadoghq.com/services
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[5]: /tracing/services/service_page/#memory-leaks

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