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World Congress 2026 Europe • Jul 10, 2026 • Session details

Diagnostic Tooling: How to get insights from your .NET services hosted in Kubernetes containers?

Tom Crecelius

Struggling to extract diagnostic data from hardened, shell-less Kubernetes containers? Learn how to securely generate memory dumps and CPU traces using dotnet-monitor as a decoupled sidecar.

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#1 about 4 min

Defining diagnostic artifacts and their continuous importance

Diagnostic artifacts like files and captured data help analyze runtime conditions for troubleshooting and optimization.

#2 about 2 min

Building blocks of the .NET diagnostic ecosystem

Events, event counters, and memory dumps form the technical foundation of .NET runtime analysis.

#3 about 3 min

Extracting runtime data with event pipes and diagnostic ports

Event pipes emit continuous data streams while diagnostic ports enable two-way communication between the runtime and external tools.

#4 about 2 min

Challenges of diagnosing services in secured Kubernetes clusters

Hardened container images restrict standard analysis tools and limit the ability to execute inside pods.

#5 about 4 min

Security risks of baking diagnostic tools into application images

Including troubleshooting utilities inside production containers compromises security and violates the minimum-privilege principle.

#6 about 2 min

Centralizing artifact collection using dotnet monitor via APIs

The dotnet monitor tool enables on-demand trace creation and rule-based diagnostic triggers without compromising application boundaries.

#7 about 2 min

Configuring a diagnostic sidecar container in Kubernetes pods

A dedicated sidecar securely shares a diagnostic port volume with the main application for safe external investigation.

#8 about 3 min

Customizing diagnostic port locations for enhanced security

Using a dedicated diagnostic folder instead of the default temporary directory prevents unintentional access by other shared components.

#9 about 3 min

Securing the HTTP API with authentication and TLS encryption

Production deployments of dotnet monitor require secure API keys and TLS certificates mounted via Kubernetes secrets.

#10 about 2 min

Automating artifact storage using secure egress providers

Egress providers allow immediate and secure export of diagnostic artifacts to external locations like network shares or blob storage.

#11 about 5 min

Injecting ephemeral debug containers into running Kubernetes pods

Ephemeral containers offer a lightweight, temporary alternative to sidecars but require specialized APIs to enable necessary volume mounts.

#12 about 3 min

Summary of container diagnostics and garbage collector behavior

A brief recap of the recommended diagnostic approaches and clarification on how memory dumps automatically trigger garbage collection.

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