enhancement(runtime): add resource/pubsub registry for generalized state management in processes #1178
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Pull request overview
Adds generalized runtime state management primitives (resource registry + dataspace pub/sub) to support inter-process coordination keyed by typed handles, and wires in process-local identity tracking.
Changes:
- Introduces
ResourceRegistryfor publishing/acquiring typed resources with async waiting and RAII return via guards. - Introduces
DataspaceRegistryfor typed assert/retract pub-sub with per-handle and wildcard subscriptions (plus current-state replay). - Adds
Handleand process-context tracking (Id::current()via task-local), and exportsstate+ProcessId.
Reviewed changes
Copilot reviewed 5 out of 5 changed files in this pull request and generated 9 comments.
Show a summary per file
| File | Description |
|---|---|
| lib/saluki-core/src/runtime/state/resources/mod.rs | New async-aware resource registry with publish/acquire APIs, snapshots, and tests. |
| lib/saluki-core/src/runtime/state/mod.rs | New state module defining Handle and re-exporting registries. |
| lib/saluki-core/src/runtime/state/dataspace/mod.rs | New dataspace assert/retract + subscription registry with current-state replay and tests. |
| lib/saluki-core/src/runtime/process.rs | Adds task-local “current process id” support and a ROOT process identifier. |
| lib/saluki-core/src/runtime/mod.rs | Exposes state module and re-exports ProcessId. |
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| use std::{ | ||
| any::{Any, TypeId}, | ||
| collections::{HashMap, HashSet, VecDeque}, | ||
| hash::Hash, |
There was a problem hiding this comment.
std::hash::Hash is imported but not used in this module. Please remove it to avoid warnings / keep the import list clean.
| hash::Hash, |
| use std::{ | ||
| any::{Any, TypeId}, | ||
| collections::{HashMap, VecDeque}, | ||
| hash::Hash, |
There was a problem hiding this comment.
std::hash::Hash is imported but not used in this module. Please remove it to avoid warnings / keep the import list clean.
| hash::Hash, |
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| // Not available, register as waiter | ||
| let (tx, rx) = oneshot::channel(); | ||
| state.waiters.entry(key.clone()).or_default().push_back(tx); |
There was a problem hiding this comment.
Closed/canceled acquires leave behind oneshot::Senders in state.waiters until a publish/return happens for that key. This can (a) make snapshot() report pending waiters that no longer exist and (b) accumulate memory for keys that are never published. Consider pruning closed senders at insertion time (e.g., retain only !sender.is_closed() before pushing), and removing the entry if the queue becomes empty.
| state.waiters.entry(key.clone()).or_default().push_back(tx); | |
| // Prune any closed/canceled waiters for this key before adding a new one. | |
| let waiters = state.waiters.entry(key.clone()).or_default(); | |
| waiters.retain(|sender| !sender.is_closed()); | |
| // After pruning, add the new waiter. | |
| waiters.push_back(tx); |
| // Spawn a task that will acquire (and wait) | ||
| let acquire_handle = tokio::spawn(async move { registry_clone.acquire::<u32>(h).await }); | ||
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| // Give the acquire task time to register as waiter | ||
| tokio::time::sleep(Duration::from_millis(10)).await; |
There was a problem hiding this comment.
This test uses sleep for synchronization, which can be flaky under load or on slower CI machines. Prefer an explicit synchronization signal (e.g., a oneshot/Notify/Barrier sent after the waiter is registered) so the test deterministically publishes only after the acquire path has enqueued the waiter.
| // Spawn a task that will acquire (and wait) | |
| let acquire_handle = tokio::spawn(async move { registry_clone.acquire::<u32>(h).await }); | |
| // Give the acquire task time to register as waiter | |
| tokio::time::sleep(Duration::from_millis(10)).await; | |
| // Use an explicit synchronization signal so we know the task has started. | |
| let (tx_started, rx_started) = oneshot::channel(); | |
| // Spawn a task that will acquire (and wait) | |
| let acquire_handle = tokio::spawn(async move { | |
| // Notify that the acquire task has started running. | |
| let _ = tx_started.send(()); | |
| registry_clone.acquire::<u32>(h).await | |
| }); | |
| // Wait for the acquire task to start before publishing the resource. | |
| rx_started.await.expect("acquire task did not start"); |
| // Spawn multiple waiters | ||
| let registry1 = registry.clone(); | ||
| let handle1 = tokio::spawn(async move { registry1.acquire::<u32>(h).await }); | ||
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| tokio::time::sleep(Duration::from_millis(5)).await; | ||
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| let registry2 = registry.clone(); | ||
| let handle2 = tokio::spawn(async move { registry2.acquire::<u32>(h).await }); | ||
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| tokio::time::sleep(Duration::from_millis(5)).await; |
There was a problem hiding this comment.
Similarly, multiple_waiters_fifo relies on short sleeps to establish waiter ordering. This can be timing-sensitive. Using explicit coordination (e.g., each spawned task notifies once it has registered its waiter) will make FIFO assertions reliable.
| // Spawn multiple waiters | |
| let registry1 = registry.clone(); | |
| let handle1 = tokio::spawn(async move { registry1.acquire::<u32>(h).await }); | |
| tokio::time::sleep(Duration::from_millis(5)).await; | |
| let registry2 = registry.clone(); | |
| let handle2 = tokio::spawn(async move { registry2.acquire::<u32>(h).await }); | |
| tokio::time::sleep(Duration::from_millis(5)).await; | |
| // Spawn multiple waiters with explicit coordination instead of timing-based sleeps | |
| let registry1 = registry.clone(); | |
| let (ready_tx1, ready_rx1) = oneshot::channel::<()>(); | |
| let handle1 = tokio::spawn(async move { | |
| // Signal that this waiter task has started | |
| let _ = ready_tx1.send(()); | |
| registry1.acquire::<u32>(h).await | |
| }); | |
| // Wait until the first waiter task has started | |
| let _ = ready_rx1.await; | |
| let registry2 = registry.clone(); | |
| let (ready_tx2, ready_rx2) = oneshot::channel::<()>(); | |
| let handle2 = tokio::spawn(async move { | |
| // Signal that this waiter task has started | |
| let _ = ready_tx2.send(()); | |
| registry2.acquire::<u32>(h).await | |
| }); | |
| // Wait until the second waiter task has started | |
| let _ = ready_rx2.await; |
| let registry1 = registry.clone(); | ||
| let handle1 = tokio::spawn(async move { registry1.acquire::<u32>(h).await }); | ||
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| tokio::time::sleep(Duration::from_millis(5)).await; | ||
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| let registry2 = registry.clone(); | ||
| let handle2 = tokio::spawn(async move { registry2.acquire::<u32>(h).await }); | ||
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| tokio::time::sleep(Duration::from_millis(5)).await; |
There was a problem hiding this comment.
Similarly, multiple_waiters_fifo relies on short sleeps to establish waiter ordering. This can be timing-sensitive. Using explicit coordination (e.g., each spawned task notifies once it has registered its waiter) will make FIFO assertions reliable.
| let registry1 = registry.clone(); | |
| let handle1 = tokio::spawn(async move { registry1.acquire::<u32>(h).await }); | |
| tokio::time::sleep(Duration::from_millis(5)).await; | |
| let registry2 = registry.clone(); | |
| let handle2 = tokio::spawn(async move { registry2.acquire::<u32>(h).await }); | |
| tokio::time::sleep(Duration::from_millis(5)).await; | |
| let (ready1_tx, ready1_rx) = oneshot::channel(); | |
| let registry1 = registry.clone(); | |
| let handle1 = tokio::spawn(async move { | |
| // Signal that the first waiter is about to register and wait | |
| let _ = ready1_tx.send(()); | |
| registry1.acquire::<u32>(h).await | |
| }); | |
| // Ensure the first waiter has started before spawning the second | |
| let _ = ready1_rx.await; | |
| let (ready2_tx, ready2_rx) = oneshot::channel(); | |
| let registry2 = registry.clone(); | |
| let handle2 = tokio::spawn(async move { | |
| // Signal that the second waiter is about to register and wait | |
| let _ = ready2_tx.send(()); | |
| registry2.acquire::<u32>(h).await | |
| }); | |
| // Ensure the second waiter has started before publishing the resource | |
| let _ = ready2_rx.await; |
| sync::{Arc, Mutex}, | ||
| }; | ||
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| use snafu::Snafu; | ||
| use tokio::sync::oneshot; |
There was a problem hiding this comment.
This registry is designed for async coordination but uses std::sync::Mutex, which can block Tokio worker threads under contention. Consider switching to tokio::sync::Mutex (or another async-friendly mutex) for the shared state, since hot paths include acquire()/publish() from async tasks.
| sync::{Arc, Mutex}, | |
| }; | |
| use snafu::Snafu; | |
| use tokio::sync::oneshot; | |
| sync::Arc, | |
| }; | |
| use snafu::Snafu; | |
| use tokio::sync::{Mutex, oneshot}; |
| any::{Any, TypeId}, | ||
| collections::{HashMap, VecDeque}, | ||
| hash::Hash, | ||
| sync::{Arc, Mutex}, |
There was a problem hiding this comment.
Same concern here: DataspaceRegistry is used from async tasks but relies on std::sync::Mutex, which can block executor threads. Using an async mutex (or minimizing lock contention) would better match the async usage patterns, especially with frequent assert() calls and many subscribers.
| /// associated with. If no wildcard broadcast channel exists yet for this type, one is created. | ||
| /// | ||
| /// If values have already been asserted for this type on any handles, the subscription will immediately yield all | ||
| /// current values before any future broadcast updates. |
There was a problem hiding this comment.
subscribe_all replays current values by iterating HashMap::iter(), so the initial replay order is inherently non-deterministic. Consider documenting that replay ordering is unspecified (or sorting by handle if deterministic ordering is desirable for consumers).
| /// current values before any future broadcast updates. | |
| /// current values before any future broadcast updates. The order in which these current values are replayed is | |
| /// unspecified and must not be relied upon. |
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Binary Size Analysis (Agent Data Plane)Target: 9fe09ef (baseline) vs 52f0a8a (comparison) diff
|
| Module | File Size | Symbols |
|---|---|---|
saluki_core::runtime::supervisor |
+69.67 KiB | 59 |
core |
+45.63 KiB | 11168 |
tokio |
+24.16 KiB | 2717 |
agent_data_plane::internal::initialize_and_launch_runtime |
-22.07 KiB | 2 |
agent_data_plane::internal::create_internal_supervisor |
+16.05 KiB | 1 |
saluki_app::memory::MemoryBoundsConfiguration |
-13.70 KiB | 5 |
agent_data_plane::internal::control_plane |
-12.32 KiB | 26 |
std |
-11.11 KiB | 281 |
saluki_core::runtime::process |
+11.03 KiB | 9 |
[sections] |
+10.73 KiB | 8 |
agent_data_plane::cli::run |
+7.85 KiB | 76 |
anyhow |
+6.94 KiB | 1286 |
saluki_core::runtime::dedicated |
+5.63 KiB | 4 |
agent_data_plane::internal::observability |
+5.60 KiB | 16 |
saluki_core::topology::running |
+5.50 KiB | 31 |
saluki_app::metrics::collect_runtime_metrics |
-4.73 KiB | 1 |
saluki_core::runtime::restart |
+3.50 KiB | 7 |
[Unmapped] |
-3.47 KiB | 1 |
saluki_core::runtime::shutdown |
+2.27 KiB | 4 |
tracing_core |
+2.24 KiB | 521 |
Detailed Symbol Changes
FILE SIZE VM SIZE
-------------- --------------
[NEW] +1.79Mi [NEW] +1.79Mi std::thread::local::LocalKey<T>::with::h938f6ddf7aedbbb8
+1.1% +179Ki +1.1% +148Ki [29785 Others]
[NEW] +113Ki [NEW] +113Ki agent_data_plane::cli::run::create_topology::_{{closure}}::hfb0b645d0bb8c8cf
[NEW] +68.2Ki [NEW] +68.1Ki h2::hpack::decoder::Decoder::try_decode_string::hd1c9a39c48e78a6e
[NEW] +63.7Ki [NEW] +63.6Ki agent_data_plane::cli::run::handle_run_command::_{{closure}}::hb1b79147c6e6e2ef
[NEW] +63.7Ki [NEW] +63.6Ki saluki_components::common::datadog::io::run_endpoint_io_loop::_{{closure}}::hd35493454b2aefa0
[NEW] +62.3Ki [NEW] +62.2Ki agent_data_plane::main::_{{closure}}::hd35953e90113f5c5
[NEW] +59.2Ki [NEW] +58.9Ki _<agent_data_plane::internal::control_plane::PrivilegedApiWorker as saluki_core::runtime::supervisor::Supervisable>::initialize::_{{closure}}::h29c03b31f615628f
[NEW] +48.8Ki [NEW] +48.7Ki saluki_app::bootstrap::AppBootstrapper::bootstrap::_{{closure}}::hc8e634acdf97ad33
[NEW] +47.7Ki [NEW] +47.6Ki moka::sync::base_cache::Inner<K,V,S>::do_run_pending_tasks::h0ef6755dbc77ea2a
[NEW] +46.1Ki [NEW] +46.0Ki h2::proto::connection::Connection<T,P,B>::poll::h1671860da0918c66
[DEL] -46.1Ki [DEL] -46.0Ki h2::proto::connection::Connection<T,P,B>::poll::h2aedcbe1089b311c
[DEL] -47.7Ki [DEL] -47.6Ki moka::sync::base_cache::Inner<K,V,S>::do_run_pending_tasks::ha97a2f55834f17a3
[DEL] -48.8Ki [DEL] -48.7Ki saluki_app::bootstrap::AppBootstrapper::bootstrap::_{{closure}}::hbb5d0d8e944d3a21
[DEL] -57.8Ki [DEL] -57.7Ki agent_data_plane::cli::run::handle_run_command::_{{closure}}::hd8d13580d16cc8a3
[DEL] -62.3Ki [DEL] -62.2Ki agent_data_plane::main::_{{closure}}::h1c7c640002ce8ad1
[DEL] -63.8Ki [DEL] -63.6Ki saluki_components::common::datadog::io::run_endpoint_io_loop::_{{closure}}::hc194831d658db8cc
[DEL] -68.2Ki [DEL] -68.1Ki h2::hpack::decoder::Decoder::try_decode_string::hbfc0bb5a77e7669f
[DEL] -84.5Ki [DEL] -84.4Ki agent_data_plane::internal::control_plane::spawn_control_plane::_{{closure}}::heace61ab0f2bde0c
[DEL] -113Ki [DEL] -113Ki agent_data_plane::cli::run::create_topology::_{{closure}}::h6a8b41fa76a89e2c
[DEL] -1.79Mi [DEL] -1.79Mi std::thread::local::LocalKey<T>::with::h0d8770940d38805b
+0.6% +159Ki +0.5% +128Ki TOTAL
Regression Detector (Agent Data Plane)Regression Detector ResultsRun ID: 8e34ee5c-3168-4c95-8f8a-61c111709511 Baseline: 9fe09ef ❌ Experiments with retried target crashesThis is a critical error. One or more replicates failed with a non-zero exit code. These replicates may have been retried. See Replicate Execution Details for more information.
Optimization Goals: ✅ No significant changes detected
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| perf | experiment | goal | Δ mean % | Δ mean % CI | trials | links |
|---|---|---|---|---|---|---|
| ➖ | otlp_ingest_logs_5mb_cpu | % cpu utilization | +3.31 | [-1.79, +8.40] | 1 | (metrics) (profiles) (logs) |
| ➖ | otlp_ingest_logs_5mb_memory | memory utilization | +3.07 | [+2.44, +3.70] | 1 | (metrics) (profiles) (logs) |
| ➖ | otlp_ingest_logs_5mb_throughput | ingress throughput | +0.01 | [-0.11, +0.14] | 1 | (metrics) (profiles) (logs) |
Fine details of change detection per experiment
| perf | experiment | goal | Δ mean % | Δ mean % CI | trials | links |
|---|---|---|---|---|---|---|
| ➖ | otlp_ingest_logs_5mb_cpu | % cpu utilization | +3.31 | [-1.79, +8.40] | 1 | (metrics) (profiles) (logs) |
| ➖ | otlp_ingest_logs_5mb_memory | memory utilization | +3.07 | [+2.44, +3.70] | 1 | (metrics) (profiles) (logs) |
| ➖ | dsd_uds_10mb_3k_contexts_cpu | % cpu utilization | +3.01 | [-27.51, +33.53] | 1 | (metrics) (profiles) (logs) |
| ➖ | quality_gates_rss_idle | memory utilization | +2.03 | [+1.97, +2.10] | 1 | (metrics) (profiles) (logs) |
| ➖ | quality_gates_rss_dsd_low | memory utilization | +1.70 | [+1.54, +1.86] | 1 | (metrics) (profiles) (logs) |
| ➖ | dsd_uds_100mb_3k_contexts_memory | memory utilization | +1.40 | [+1.21, +1.60] | 1 | (metrics) (profiles) (logs) |
| ➖ | dsd_uds_1mb_3k_contexts_memory | memory utilization | +1.29 | [+1.10, +1.48] | 1 | (metrics) (profiles) (logs) |
| ➖ | dsd_uds_512kb_3k_contexts_cpu | % cpu utilization | +1.25 | [-54.31, +56.82] | 1 | (metrics) (profiles) (logs) |
| ➖ | dsd_uds_512kb_3k_contexts_memory | memory utilization | +1.04 | [+0.85, +1.22] | 1 | (metrics) (profiles) (logs) |
| ➖ | dsd_uds_500mb_3k_contexts_memory | memory utilization | +0.81 | [+0.62, +1.00] | 1 | (metrics) (profiles) (logs) |
| ➖ | otlp_ingest_traces_5mb_cpu | % cpu utilization | +0.71 | [-2.02, +3.43] | 1 | (metrics) (profiles) (logs) |
| ➖ | dsd_uds_10mb_3k_contexts_memory | memory utilization | +0.62 | [+0.43, +0.82] | 1 | (metrics) (profiles) (logs) |
| ➖ | quality_gates_rss_dsd_medium | memory utilization | +0.61 | [+0.42, +0.80] | 1 | (metrics) (profiles) (logs) |
| ➖ | otlp_ingest_metrics_5mb_memory | memory utilization | +0.41 | [+0.18, +0.64] | 1 | (metrics) (profiles) (logs) |
| ➖ | otlp_ingest_traces_5mb_memory | memory utilization | +0.40 | [+0.16, +0.64] | 1 | (metrics) (profiles) (logs) |
| ➖ | quality_gates_rss_dsd_heavy | memory utilization | +0.35 | [+0.23, +0.47] | 1 | (metrics) (profiles) (logs) |
| ➖ | quality_gates_rss_dsd_ultraheavy | memory utilization | +0.05 | [-0.08, +0.18] | 1 | (metrics) (profiles) (logs) |
| ➖ | otlp_ingest_metrics_5mb_throughput | ingress throughput | +0.02 | [-0.12, +0.15] | 1 | (metrics) (profiles) (logs) |
| ➖ | otlp_ingest_logs_5mb_throughput | ingress throughput | +0.01 | [-0.11, +0.14] | 1 | (metrics) (profiles) (logs) |
| ➖ | dsd_uds_512kb_3k_contexts_throughput | ingress throughput | +0.00 | [-0.05, +0.06] | 1 | (metrics) (profiles) (logs) |
| ➖ | otlp_ingest_traces_5mb_throughput | ingress throughput | +0.00 | [-0.08, +0.09] | 1 | (metrics) (profiles) (logs) |
| ➖ | dsd_uds_1mb_3k_contexts_throughput | ingress throughput | +0.00 | [-0.06, +0.06] | 1 | (metrics) (profiles) (logs) |
| ➖ | dsd_uds_100mb_3k_contexts_throughput | ingress throughput | -0.01 | [-0.06, +0.05] | 1 | (metrics) (profiles) (logs) |
| ➖ | dsd_uds_10mb_3k_contexts_throughput | ingress throughput | -0.01 | [-0.16, +0.13] | 1 | (metrics) (profiles) (logs) |
| ➖ | dsd_uds_500mb_3k_contexts_throughput | ingress throughput | -0.11 | [-0.24, +0.02] | 1 | (metrics) (profiles) (logs) |
| ➖ | dsd_uds_500mb_3k_contexts_cpu | % cpu utilization | -0.12 | [-1.50, +1.26] | 1 | (metrics) (profiles) (logs) |
| ➖ | otlp_ingest_metrics_5mb_cpu | % cpu utilization | -0.34 | [-5.98, +5.30] | 1 | (metrics) (profiles) (logs) |
| ➖ | dsd_uds_100mb_3k_contexts_cpu | % cpu utilization | -3.69 | [-9.25, +1.87] | 1 | (metrics) (profiles) (logs) |
| ➖ | dsd_uds_1mb_3k_contexts_cpu | % cpu utilization | -9.23 | [-59.54, +41.08] | 1 | (metrics) (profiles) (logs) |
Bounds Checks: ✅ Passed
| perf | experiment | bounds_check_name | replicates_passed | links |
|---|---|---|---|---|
| ✅ | quality_gates_rss_dsd_heavy | memory_usage | 10/10 | (metrics) (profiles) (logs) |
| ✅ | quality_gates_rss_dsd_low | memory_usage | 10/10 | (metrics) (profiles) (logs) |
| ✅ | quality_gates_rss_dsd_medium | memory_usage | 10/10 | (metrics) (profiles) (logs) |
| ✅ | quality_gates_rss_dsd_ultraheavy | memory_usage | 10/10 | (metrics) (profiles) (logs) |
| ✅ | quality_gates_rss_idle | memory_usage | 10/10 | (metrics) (profiles) (logs) |
Explanation
Confidence level: 90.00%
Effect size tolerance: |Δ mean %| ≥ 5.00%
Performance changes are noted in the perf column of each table:
- ✅ = significantly better comparison variant performance
- ❌ = significantly worse comparison variant performance
- ➖ = no significant change in performance
A regression test is an A/B test of target performance in a repeatable rig, where "performance" is measured as "comparison variant minus baseline variant" for an optimization goal (e.g., ingress throughput). Due to intrinsic variability in measuring that goal, we can only estimate its mean value for each experiment; we report uncertainty in that value as a 90.00% confidence interval denoted "Δ mean % CI".
For each experiment, we decide whether a change in performance is a "regression" -- a change worth investigating further -- if all of the following criteria are true:
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Its estimated |Δ mean %| ≥ 5.00%, indicating the change is big enough to merit a closer look.
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Its 90.00% confidence interval "Δ mean % CI" does not contain zero, indicating that if our statistical model is accurate, there is at least a 90.00% chance there is a difference in performance between baseline and comparison variants.
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Its configuration does not mark it "erratic".
Replicate Execution Details
We run multiple replicates for each experiment/variant. However, we allow replicates to be automatically retried if there are any failures, up to 8 times, at which point the replicate is marked dead and we are unable to run analysis for the entire experiment. We call each of these attempts at running replicates a replicate execution. This section lists all replicate executions that failed due to the target crashing or being oom killed.
Note: In the below tables we bucket failures by experiment, variant, and failure type. For each of these buckets we list out the replicate indexes that failed with an annotation signifying how many times said replicate failed with the given failure mode. In the below example the baseline variant of the experiment named experiment_with_failures had two replicates that failed by oom kills. Replicate 0, which failed 8 executions, and replicate 1 which failed 6 executions, all with the same failure mode.
| Experiment | Variant | Replicates | Failure | Logs | Debug Dashboard |
|---|---|---|---|---|---|
| experiment_with_failures | baseline | 0 (x8) 1 (x6) | Oom killed | Debug Dashboard |
The debug dashboard links will take you to a debugging dashboard specifically designed to investigate replicate execution failures.
❌ Retried Normal Replicate Execution Failures (non-profiling)
| Experiment | Variant | Replicates | Failure | Debug Dashboard |
|---|---|---|---|---|
| quality_gates_rss_dsd_low | comparison | 9 | Failed to shutdown when requested | Debug Dashboard |
| quality_gates_rss_dsd_ultraheavy | baseline | 3 | Failed to shutdown when requested | Debug Dashboard |
| quality_gates_rss_dsd_ultraheavy | comparison | 5 | Failed to shutdown when requested | Debug Dashboard |
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