Add aws-mantle-1 variants - #4908
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Overall this looks great! Can we rename new-variant.toml to something more specific? Long term we might have a newer new variant with different defaults.
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Signed-off-by: Piyush Jena <jepiyush@amazon.com>
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Many setting defaults are inter-connected to trigger the right services upon setting changes. As we prepare for a minimal variant, we introduce these shared-defaults to be able to boot with the minimal set of settings. Signed-off-by: Piyush Jena <jepiyush@amazon.com>
Signed-off-by: Piyush Jena <jepiyush@amazon.com>
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Description of changes:
Unified Kernel Image(UKI),ephemeral-encryption-keysupdates,boot,ecs,metrics,autoscalingTesting done:
/bootmounted (vfat onBOTTLEROCKET-BOOT-A, boot-integrity HMAC present)dotnet-testcontainer runs viactr(CPU)nvidia-smoke-testcontainer runs viactr(GPU detected)crypto/fips_enabled=1, kernelfips=1, OpenSSL FIPS)/localwipe across rebootBOTTLEROCKET-DATAandBOTTLEROCKET-PRIVATEPASS — identity of the host under test (variant / variant-flavor / arch / version)
PASS — BOTTLEROCKET-DATA is headerless plain-mode dm-crypt (type: PLAIN, key location: dm-crypt)
PASS — BOTTLEROCKET-PRIVATE is headerless plain-mode dm-crypt (type: PLAIN, key location: dm-crypt)
PASS — hello-dotnet ran via ctr (writable rootfs + container_t/data_t OCI spec) and exited 0.
The same greeting +
rc=0pattern appears inlogs/F2-workloads-i-*.txtfor all 12hosts, including the 4 NVIDIA hosts (
logs/F2-workloads-i-071a98c037d59bb28.txt,i-0b6f740823ea7fde6.txt,i-033b955da8842ad6b.txt,i-09b2cdc80ddbfd740.txt).nvidia-smoke-test — the 4 GPU hosts
Sampled host:
i-071a98c037d59bb28(aws-mantle-1-nvidia, x86_64, g6.xlarge). Identicalpattern on the other 3 x86_64 NVIDIA hosts.
PASS — nvidia-smoke-test saw the GPU via the boot-generated CDI merge; deviceQuery Result = PASS.
PASS — identity of the host under test (variant / variant-flavor / arch / version)
PASS — apiclient reports FIPS compliance on this -fips variant
Terms of contribution:
By submitting this pull request, I agree that this contribution is dual-licensed under the terms of both the Apache License, version 2.0, and the MIT license.