enhancement(antithesis): Vary datadog.yaml in test/antithesis, assert aliveness by blt · Pull Request #1779 · DataDog/saluki

blt · 2026-05-31T15:03:15Z

Summary

This PR introduces variation in the datadog.yaml we use under test in
the antithesis rig. The goal here is to explore variation in buffer
sizes etc and also startup panics on truly weird configs.

ADP aliveness on bootup via the way it is rigged into the compose cluster and we assert a 'sometimes' check to forwarding in datadog/io.rs. This later 'sometimes' acts as a checkpoint for antithesis, allowing it to figure that ADP has reached a nominally functional state and can be explored from that point. The antithesis setup checkpoint is done before datadog.yaml is sampled.

Notable things:

first_sample_config runs after setup-checkpoint and before ADP boots, is responsible for creating datadog.yaml and other configs in the future
eventually_adp_alive is a weak check and we may drop it in the future as our coverage improves, but it doesn't hurt anything now
I introduced a harness::rand to encode antithesis-friendly sampling of large domains, this will expand over time
Skill antithesis-research has updated its 'scratchbook' but this is a mechanical domain for now, will later convert it to a human-hybrid material

Change Type

Bug fix
New feature
Non-functional (chore, refactoring, docs)
Performance

How did you test this PR?

Antithesis shots with change in place, confirmed config == timeline match.

References

N/A

blt · 2026-05-31T15:03:29Z

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pr-commenter · 2026-05-31T15:13:37Z

Binary Size Analysis (Agent Data Plane)

Baseline: ba3b71f · Comparison: 6577832 · diff
Analysis Configuration: stripped binaries · Pass/Fail Threshold: +5%
Sizes: 38.00 MiB (baseline) vs 38.00 MiB (comparison)
Size Change: +1.80 KiB (+0.00%)

✅ Binary size difference within threshold

Changes by Module

Module	File Size	Symbols
`anon.629de23047e40487480cd05dc112d400.84.llvm.13415075885401229804`	+1.44 KiB	1
`anon.d80e36a4dd3e8880c23e9ed1a57e088e.102.llvm.12401510669928533206`	+1.43 KiB	1
`anon.f320ab7fe0a287e58b6a79810e06129c.72.llvm.737896208443351970`	-1.43 KiB	1
`anon.1525a33deb3f58087681eb88ebd99621.60.llvm.1402690244726268374`	-1.43 KiB	1
`anon.d80e36a4dd3e8880c23e9ed1a57e088e.104.llvm.12401510669928533206`	+1.42 KiB	1
`anon.d80e36a4dd3e8880c23e9ed1a57e088e.104.llvm.2116743092608945731`	-1.41 KiB	1
`anon.77f302df6d27ce936e8af0d7169088fe.94.llvm.3577412013041894107`	+1.02 KiB	1
`anon.08a21c89d40dd06aef04e84180fad824.734.llvm.1688328035285648200`	-1.02 KiB	1
`anon.da47d650741e12a791b945ff7ee04172.61.llvm.17545288958318189955`	+1001 B	1
`anon.6ff01ef6f18a86dd0a9b81c52626052c.592.llvm.16939068969732103927`	-1000 B	1
`_RNvMs5_NtNtCsaz6eC2DG7lh_3std2io5errorNtB5_5Error4kind.llvm.13415075885401229804`	+830 B	1
`_RNvMs5_NtNtCsaz6eC2DG7lh_3std2io5errorNtB5_5Error4kind.llvm.17545288958318189955`	+830 B	1
`_RNvMs5_NtNtCsaz6eC2DG7lh_3std2io5errorNtB5_5Error4kind.llvm.7375232366601259684`	-829 B	1
`_RNvMs5_NtNtCsaz6eC2DG7lh_3std2io5errorNtB5_5Error4kind.llvm.9973249572080694930`	-829 B	1
`anon.9e9a5a8c7ee839f0bda81785f4f24b2e.8.llvm.2983686212164462810`	+732 B	1
`anon.629de23047e40487480cd05dc112d400.10.llvm.9973249572080694930`	-731 B	1
`anon.0b1ae14177ee89e3bdc46ecedde7dc4e.99.llvm.9814631405445329812`	+730 B	1
`anon.491bdc034cfd9b1ac13c95aad60bec5d.1.llvm.5559884249864789214`	-730 B	1
`core`	+725 B	483
`_RNvXsv_NtNtCs7BliBxkEZsN_4core3str7patternNtB5_11StrSearcherNtB5_8Searcher10next_match.llvm.3370118019990760333`	+684 B	1

Detailed Symbol Changes

    FILE SIZE        VM SIZE    
 --------------  -------------- 
  [NEW] +2.73Ki  [NEW]     +61    core::ptr::drop_in_place<std::sync::poison::PoisonError<std::sync::poison::rwlock::RwLockReadGuard<quick_cache::shard::CacheShard<saluki_context::hash::ContextKey,saluki_context::context::Context,saluki_common::cache::weight::WrappedWeighter<saluki_common::cache::weight::ItemCountWeighter>,saluki_common::hash::NoopU64BuildHasher,saluki_common::cache::expiry::ExpiryCapableLifecycle<saluki_context::hash::ContextKey>,alloc::sync::Arc<quick_cache::sync_placeholder::Placeholder<saluki_context::context::Context>>>>>>::h50329a0b82f945fe
  [NEW] +2.18Ki  [NEW]    +315    core::ptr::drop_in_place<tokio::sync::mpsc::bounded::Permit<saluki_core::data_model::event::Event>>::hf0c0974b63562887
  [NEW] +2.17Ki  [NEW]    +129    core::ptr::drop_in_place<std::sync::poison::PoisonError<std::sync::poison::rwlock::RwLockWriteGuard<quick_cache::shard::CacheShard<stringtheory::MetaString,core::option::Option<saluki_components::transforms::dogstatsd_mapper::CachedMapResult>,saluki_common::cache::weight::WrappedWeighter<saluki_common::cache::weight::ItemCountWeighter>,foldhash::quality::RandomState,saluki_common::cache::expiry::ExpiryCapableLifecycle<stringtheory::MetaString>,alloc::sync::Arc<quick_cache::sync_placeholder::Placeholder<core::option::Option<saluki_components::transforms::dogstatsd_mapper::CachedMapResult>>>>>>>::h187385bb185312b1
  +0.2% +1.79Ki  [ = ]       0    [2829 Others]
  [NEW] +1.60Ki  [NEW]    +136    _<std::sync::poison::PoisonError<T> as core::fmt::Debug>::fmt::h46760dc002a9421a
  [NEW] +1.48Ki  [NEW]    +320    core::ptr::drop_in_place<alloc::boxed::Box<tokio::runtime::task::core::Cell<tokio::runtime::blocking::task::BlockingTask<tokio::fs::remove_file::remove_file<&std::path::Path>::{{closure}}::{{closure}}>,tokio::runtime::blocking::schedule::BlockingSchedule>>>::h3f86d2bc77671251
  [NEW] +1.44Ki  [NEW]     +22    anon.629de23047e40487480cd05dc112d400.84.llvm.13415075885401229804
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  [DEL]   -1000  [DEL]     -91    anon.6ff01ef6f18a86dd0a9b81c52626052c.592.llvm.16939068969732103927
  [DEL] -1.02Ki  [DEL]     -42    anon.08a21c89d40dd06aef04e84180fad824.734.llvm.1688328035285648200
  [DEL] -1.41Ki  [DEL]     -92    anon.d80e36a4dd3e8880c23e9ed1a57e088e.104.llvm.2116743092608945731
  [DEL] -1.43Ki  [DEL]     -22    anon.1525a33deb3f58087681eb88ebd99621.60.llvm.1402690244726268374
  [DEL] -1.43Ki  [DEL]     -22    anon.f320ab7fe0a287e58b6a79810e06129c.72.llvm.737896208443351970
  [DEL] -1.48Ki  [DEL]    -320    core::ptr::drop_in_place<alloc::boxed::Box<tokio::runtime::task::core::Cell<tokio::runtime::blocking::task::BlockingTask<tokio::fs::remove_file::remove_file<&std::path::PathBuf>::{{closure}}::{{closure}}>,tokio::runtime::blocking::schedule::BlockingSchedule>>>::hd7883b0bbf7541b7
  [DEL] -1.60Ki  [DEL]    -136    _<std::sync::poison::PoisonError<T> as core::fmt::Debug>::fmt::ha4cdbdb427cd0902
  [DEL] -2.17Ki  [DEL]    -129    core::ptr::drop_in_place<std::sync::poison::PoisonError<std::sync::poison::rwlock::RwLockWriteGuard<quick_cache::shard::CacheShard<alloc::string::String,saluki_components::sources::otlp::metrics::cache::Extrema,saluki_common::cache::weight::WrappedWeighter<saluki_common::cache::weight::ItemCountWeighter>,foldhash::quality::RandomState,saluki_common::cache::expiry::ExpiryCapableLifecycle<alloc::string::String>,alloc::sync::Arc<quick_cache::sync_placeholder::Placeholder<saluki_components::sources::otlp::metrics::cache::Extrema>>>>>>::h67c08e27a1ded7d7
  [DEL] -2.18Ki  [DEL]    -315    core::ptr::drop_in_place<tokio::sync::mpsc::bounded::Permit<saluki_components::sources::otlp::OtlpResource>>::hecf5df15bb464562
  [DEL] -2.73Ki  [DEL]     -61    core::ptr::drop_in_place<std::sync::poison::PoisonError<std::sync::poison::rwlock::RwLockReadGuard<quick_cache::shard::CacheShard<alloc::string::String,saluki_components::sources::otlp::metrics::cache::NumberCounter,saluki_common::cache::weight::WrappedWeighter<saluki_common::cache::weight::ItemCountWeighter>,foldhash::quality::RandomState,saluki_common::cache::expiry::ExpiryCapableLifecycle<alloc::string::String>,alloc::sync::Arc<quick_cache::sync_placeholder::Placeholder<saluki_components::sources::otlp::metrics::cache::NumberCounter>>>>>>::h14245d30407f51ba
  +0.0% +1.80Ki  [ = ]       0    TOTAL

pr-commenter · 2026-05-31T15:27:05Z

Regression Detector (Agent Data Plane)

Run ID: 75008d8a-5c25-47c8-82a0-75a3304a9c00
Baseline: ba3b71f6 · Comparison: 29d780cc · diff

Optimization Goals: ✅ No significant changes detected

Fine details of change detection per experiment (35)

Experiments configured erratic: true are tagged (ignored) and skipped when determining which experiments regressed or improved. Experiments which are detected as erratic at runtime are tagged (erratic) to flag that the run's sample dispersion was high, but their regression / improvement signal still counts.

experiment	goal	Δ mean %	links
dsd_uds_10mb_3k_contexts_cpu (erratic)	cpu	⚪ +11.82	metrics profiles logs
otlp_ingest_logs_5mb_memory (ignored)	memory	⚪ +3.09	metrics profiles logs
dsd_uds_100mb_3k_contexts_cpu (erratic)	cpu	⚪ +1.92	metrics profiles logs
otlp_ingest_logs_5mb_cpu (ignored)	cpu	⚪ +0.97	metrics profiles logs
dsd_uds_500mb_3k_contexts_throughput	throughput	⚪ -0.63	metrics profiles logs
otlp_ingest_traces_5mb_cpu (erratic)	cpu	⚪ +0.28	metrics profiles logs
otlp_ingest_traces_ottl_filtering_5mb_memory	memory	⚪ +0.27	metrics profiles logs
dsd_uds_10mb_3k_contexts_memory	memory	⚪ +0.13	metrics profiles logs
otlp_ingest_traces_ottl_transform_5mb_throughput	throughput	⚪ -0.13	metrics profiles logs
quality_gates_rss_dsd_heavy	memory	⚪ +0.09	metrics profiles logs
otlp_ingest_traces_ottl_filtering_5mb_throughput	throughput	⚪ -0.09	metrics profiles logs
quality_gates_rss_dsd_low	memory	⚪ +0.08	metrics profiles logs
quality_gates_rss_dsd_ultraheavy	memory	⚪ +0.06	metrics profiles logs
otlp_ingest_traces_5mb_throughput	throughput	⚪ -0.05	metrics profiles logs
dsd_uds_1mb_3k_contexts_memory	memory	⚪ +0.05	metrics profiles logs
otlp_ingest_traces_5mb_memory	memory	⚪ +0.03	metrics profiles logs
dsd_uds_500mb_3k_contexts_cpu (erratic)	cpu	⚪ +0.01	metrics profiles logs
dsd_uds_10mb_3k_contexts_throughput	throughput	⚪ -0.01	metrics profiles logs
dsd_uds_512kb_3k_contexts_throughput	throughput	⚪ -0.00	metrics profiles logs
otlp_ingest_metrics_5mb_throughput	throughput	⚪ -0.00	metrics profiles logs
dsd_uds_100mb_3k_contexts_throughput	throughput	⚪ -0.00	metrics profiles logs
dsd_uds_1mb_3k_contexts_throughput	throughput	⚪ +0.00	metrics profiles logs
dsd_uds_512kb_3k_contexts_memory	memory	⚪ -0.00	metrics profiles logs
dsd_uds_100mb_3k_contexts_memory	memory	⚪ -0.02	metrics profiles logs
otlp_ingest_logs_5mb_throughput (ignored)	throughput	⚪ +0.04	metrics profiles logs
otlp_ingest_traces_ottl_transform_5mb_memory	memory	⚪ -0.12	metrics profiles logs
dsd_uds_500mb_3k_contexts_memory	memory	⚪ -0.14	metrics profiles logs
quality_gates_rss_idle	memory	⚪ -0.23	metrics profiles logs
otlp_ingest_traces_ottl_filtering_5mb_cpu (erratic)	cpu	⚪ -0.32	metrics profiles logs
quality_gates_rss_dsd_medium	memory	⚪ -0.54	metrics profiles logs
otlp_ingest_metrics_5mb_cpu (erratic)	cpu	⚪ -1.81	metrics profiles logs
otlp_ingest_traces_ottl_transform_5mb_cpu (erratic)	cpu	⚪ -1.86	metrics profiles logs
otlp_ingest_metrics_5mb_memory	memory	⚪ -2.77	metrics profiles logs
dsd_uds_512kb_3k_contexts_cpu (erratic)	cpu	🟢 -7.04	metrics profiles logs
dsd_uds_1mb_3k_contexts_cpu (erratic)	cpu	🟢 -15.05	metrics profiles logs

Bounds Checks: ✅ Passed (5)

experiment	check	replicates	observed	links
quality_gates_rss_dsd_heavy	memory_usage	10/10	✅ 125 MiB ≤ 140 MiB	metrics profiles logs
quality_gates_rss_dsd_low	memory_usage	10/10	✅ 39.8 MiB ≤ 50 MiB	metrics profiles logs
quality_gates_rss_dsd_medium	memory_usage	10/10	✅ 61.8 MiB ≤ 75 MiB	metrics profiles logs
quality_gates_rss_dsd_ultraheavy	memory_usage	10/10	✅ 180 MiB ≤ 200 MiB	metrics profiles logs
quality_gates_rss_idle	memory_usage	10/10	✅ 26.7 MiB ≤ 40 MiB	metrics profiles logs

Explanation

A change is flagged as a regression when |Δ mean %| > 5.00% in the regressing direction for its optimization goal AND SMP marks the experiment as a regression (is_regression: true). Improvements use the matching criteria for the improving direction. Experiments configured erratic: true (tagged (ignored)) are skipped outright; experiments detected as erratic at runtime (tagged (erratic)) still count, since that flag describes sample dispersion rather than directional certainty. The Δ mean % cell is colored accordingly: 🟢 = improvement, 🔴 = regression, ⚪ = neutral. Reduction in CPU or memory is an improvement; reduction in ingress throughput is a regression.

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This PR introduces variation in the datadog.yaml we use under test in the antithesis rig. The goal here is to explore variation in buffer sizes etc and also startup panics on truly weird configs. ADP aliveness on bootup via the way it is rigged into the compose cluster and we assert a 'sometimes' check to forwarding in datadog/io.rs. This later 'sometimes' acts as a checkpoint for antithesis, allowing it to figure that ADP has reached a nominally functional state and can be explored from that point. The antithesis setup checkpoint is done before datadog.yaml is sampled. Notable things: * first_sample_config runs after setup-checkpoint and before ADP boots, is responsible for creating datadog.yaml and other configs in the future * eventually_adp_alive is a weak check and we may drop it in the future as our coverage improves, but it doesn't hurt anything now * I introduced a harness::rand to encode antithesis-friendly sampling of large domains, this will expand over time * Skill `antithesis-research` has updated its 'scratchbook' but this is a mechanical domain for now, will later convert it to a human-hybrid material

blt · 2026-06-02T20:59:22Z

Merge activity

Jun 2, 8:59 PM UTC: @blt merged this pull request with Graphite.

… aliveness (#1779) ## Summary  This PR introduces variation in the datadog.yaml we use under test in the antithesis rig. The goal here is to explore variation in buffer sizes etc and also startup panics on truly weird configs. ADP aliveness on bootup via the way it is rigged into the compose cluster and we assert a 'sometimes' check to forwarding in datadog/io.rs. This later 'sometimes' acts as a checkpoint for antithesis, allowing it to figure that ADP has reached a nominally functional state and can be explored from that point. The antithesis setup checkpoint is done before datadog.yaml is sampled. Notable things: - first_sample_config runs after setup-checkpoint and before ADP boots, is responsible for creating datadog.yaml and other configs in the future - eventually_adp_alive is a weak check and we may drop it in the future as our coverage improves, but it doesn't hurt anything now - I introduced a harness::rand to encode antithesis-friendly sampling of large domains, this will expand over time - Skill `antithesis-research` has updated its 'scratchbook' but this is a mechanical domain for now, will later convert it to a human-hybrid material ## Change Type - [ ] Bug fix - [ ] New feature - [x] Non-functional (chore, refactoring, docs) - [ ] Performance ## How did you test this PR?  Antithesis shots with change in place, confirmed config == timeline match. ## References N/A    dc62bbd

dd-octo-sts Bot added area/components Sources, transforms, and destinations. area/test All things testing: unit/integration, correctness, SMP regression, etc. labels May 31, 2026

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blt force-pushed the blt/assert_adp_aliveness_on_bootup_add_sometimes_check_to_forwarding branch from a372743 to dc9a86b Compare May 31, 2026 15:04

blt changed the title ~~Vary datadog.yaml in test/antithesis, assert aliveness~~ enhancement(antithesis): Vary datadog.yaml in test/antithesis, assert aliveness May 31, 2026

blt force-pushed the blt/assert_adp_aliveness_on_bootup_add_sometimes_check_to_forwarding branch from dc9a86b to a152801 Compare May 31, 2026 20:45

blt mentioned this pull request Jun 1, 2026

enhancement(antithesis): DogStatsD load generation #1782

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This was referenced Jun 1, 2026

enhancement(antithesis): Expand SDK assertions, hammer sketch #1785

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Vary datadog.yaml in test/antithesis #1787

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blt force-pushed the blt/antithesis-research branch from 3952ec9 to e540987 Compare June 1, 2026 15:33

blt force-pushed the blt/assert_adp_aliveness_on_bootup_add_sometimes_check_to_forwarding branch from a152801 to 4fc1007 Compare June 1, 2026 15:33

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This was referenced Jun 2, 2026

test(antithesis): floor buffer size, multi-value packed metrics #1799

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test(antithesis): enable forwarder disk persistence #1800

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blt merged commit dc62bbd into main Jun 2, 2026
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Binary Size Analysis (Agent Data Plane)

✅ Binary size difference within threshold

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Regression Detector (Agent Data Plane)

Optimization Goals: ✅ No significant changes detected

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