ERROR: Unable to find compatible target in cached code image.

Target 0 (znver3): Rejecting this target due to use of runtime-disabled features

This is a classic CPU target compatibility issue with PackageCompiler.jl in containerized environments. The problem occurs because the system image is compiled for a specific CPU architecture (znver3 - AMD Zen 3) during build time, but at runtime it's trying to run on different hardware that doesn't support all the optimized features.

Here's the solution - you need to set the CPU target during the build stage, not just at runtime:## Key Changes Made:

1. Set CPU target during BUILD stage: Added ENV JULIA_CPU_TARGET="generic" in the builder stage before compiling

2. Explicit CPU target for PackageCompiler: Added cpu_target="generic" parameter to create_sysimage()

Why This Happens:

• Dev environment: Your development machine likely has consistent hardware

• UAT/Azure: Different Azure VM families (Standard_D, Standard_E, etc.) have different CPU architectures

• PackageCompiler: By default, it optimizes for the build machine's CPU, creating incompatible system images

Alternative CPU Target Options:

If you want some performance optimization but still broad compatibility:

# More optimized but still compatible
ENV JULIA_CPU_TARGET="generic;x86-64-v2"

# Or if you know your Azure VM families:
ENV JULIA_CPU_TARGET="generic;x86-64-v2;x86-64-v3"

Additional Recommendations:

1. Pin your base image version to avoid Julia version changes:

   FROM julia:1.11.5 AS builder

2. Add CPU target verification (optional debugging):

   RUN julia -e "println(\"Build CPU target: \", Base.julia_cmd())"

3. Consider using multi-stage caching for faster builds:

   # Cache the PackageCompiler installation
   RUN julia --project=/home/jl/app -e 'using Pkg; Pkg.add("PackageCompiler")'

This should eliminate the random failures you're experiencing between different Azure environments.