adf36927dc
Updated `docker-compose-datadog.yml` with new environment variables and updated image versions, enhancing trace sampling and service autodiscovery. Added Kubernetes deployment, service, and role files for `elsa-server`, `elsa-studio`, `plant-uml`, `postgres`, and `trace-lens`, improving the project's infrastructure. Enhanced OpenTelemetry middleware for better error handling and detailed tracing of activity and workflow executions.
59 lines
2.2 KiB
Docker
59 lines
2.2 KiB
Docker
# Version: 1
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# Description: Dockerfile for building and running Elsa Server
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FROM --platform=$BUILDPLATFORM mcr.microsoft.com/dotnet/sdk:8.0-bookworm-slim AS build
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WORKDIR /source
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# Determine the architecture and download the appropriate version of the tracer
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RUN ARCH=$(if [ "$(uname -m)" = "x86_64" ]; then echo "amd64"; elif [ "$(uname -m)" = "aarch64" ]; then echo "arm64"; else echo "amd64"; fi) \
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&& TRACER_VERSION=$(curl -s https://api.github.com/repos/DataDog/dd-trace-dotnet/releases/latest | grep tag_name | cut -d '"' -f 4 | cut -c2-) \
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&& curl -Lo /tmp/datadog-dotnet-apm.deb https://github.com/DataDog/dd-trace-dotnet/releases/download/v${TRACER_VERSION}/datadog-dotnet-apm_${TRACER_VERSION}_${ARCH}.deb
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# copy sources.
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COPY src/. ./src
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COPY ./NuGet.Config ./
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COPY *.props ./
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# restore packages.
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RUN dotnet restore "./src/bundles/Elsa.Server.Web/Elsa.Server.Web.csproj"
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# build and publish (UseAppHost=false creates platform independent binaries).
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WORKDIR /source/src/apps/Elsa.Server.Web
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RUN dotnet build "Elsa.Server.Web.csproj" -c Release -o /app/build
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RUN dotnet publish "Elsa.Server.Web.csproj" -c Release -o /app/publish /p:UseAppHost=false --no-restore -f net8.0
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# move binaries into smaller base image.
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FROM mcr.microsoft.com/dotnet/aspnet:8.0-bookworm-slim AS base
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WORKDIR /app
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COPY --from=build /app/publish ./
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# Install Python 3.11
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RUN apt-get update && apt-get install -y --no-install-recommends \
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python3.11 \
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python3.11-dev \
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libpython3.11 \
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python3-pip && \
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rm -rf /var/lib/apt/lists/*
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# Set PYTHONNET_PYDLL environment variable
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ENV PYTHONNET_PYDLL=/usr/lib/aarch64-linux-gnu/libpython3.11.so
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# Copy the tracer from build target
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COPY --from=build /tmp/datadog-dotnet-apm.deb /tmp/datadog-dotnet-apm.deb
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# Install the tracer
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RUN mkdir -p /opt/datadog \
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&& mkdir -p /var/log/datadog \
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&& dpkg -i /tmp/datadog-dotnet-apm.deb \
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&& rm /tmp/datadog-dotnet-apm.deb
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# Enable the tracer
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ENV CORECLR_ENABLE_PROFILING=1
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ENV CORECLR_PROFILER={846F5F1C-F9AE-4B07-969E-05C26BC060D8}
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ENV CORECLR_PROFILER_PATH=/opt/datadog/Datadog.Trace.ClrProfiler.Native.so
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ENV DD_DOTNET_TRACER_HOME=/opt/datadog
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ENV DD_INTEGRATIONS=/opt/datadog/integrations.json
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EXPOSE 8080/tcp
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EXPOSE 443/tcp
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ENTRYPOINT ["dotnet", "Elsa.Server.Web.dll"]
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