build: speed up raster and stac lambda builds#547
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hrodmn
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Oct 22, 2025
| # TODO config | ||
| stack_name = Stack.of(self).stack_name | ||
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| veda_raster_function = aws_lambda.Function( |
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FYI there might be a performance hit on Lambda init time by switching from the zip package to a DockerImageFunction. We were forced into this change in titiler-cmr because we were bumping into the 250 MB limit for the function's code (many heavy dependencies). You should be able to use some of the same patterns from the Dockerfile to improve the build time for a typical Function, though.
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Why?
cdk synthandcdk difftake a long time (5-15 minutes, depending on local resources and cache hits) because in order to interact with the CDK stack, theapp.synth()call must build all of the docker assets we use. By changing how we bundle Docker assets, we can dramatically improve synth (and possibly deploy) times.What?
Eventually we could go even further, by managing the ECR images ourselves. This would allow us to update a specific service without deploying the full stack (which would definitely accelerate deployments)
Testing?
time cdk synthbefore (ondevelop)time cdk synthafterDeployment to mcp-test and uah-sit (not done yet)