investigate: snapshot propagation latency degrades non-linearly under concurrent watchers (5th flake at maxForks=2 + 10s budget) #175

Description

@moonming

Summary

The harness-level fixes shipped in #169 (`waitConfigPropagation` 5s→10s + `maxForks` 4→2) did not eliminate the recurring flake on `guardrail-keyword-e2e.test.ts`. 5th occurrence observed on PR #172's CI (post-#169 rebase): `waitConfigPropagation: condition not met within 10s`.

RunmaxForksbudgetOutcome
1 (original #157)45sflake
2 (#165)45sflake
3 (#167)45sflake
4 (#169 own first attempt)410sflake (motivated maxForks→2 escalation)
5 (#172, post-#169 rebase)210sflake

Pattern

  • Failure is concentrated on `guardrail-keyword-e2e.test.ts` — the test that gates readiness on the last resource in a 4-resource setup batch (Model + ApiKey + ProviderKey + Guardrail).
  • Infra knobs (lower parallelism, longer budget) reduce frequency but don't eliminate it.
  • Even at maxForks=2 with 10s budget, propagation latency for the trailing Guardrail resource exceeds the budget.

This pattern strongly supports the product-side hypothesis that #157 noted as deferred:

Real product slowness — the gateway's snapshot propagation queue under N concurrent watch streams from N gateway instances could have a contention bug. Worth investigating whether propagation latency degrades non-linearly with concurrent watcher count.

Possible product-side root causes (need investigation)

  1. Lock contention in the snapshot reload path. When the gateway receives an etcd watch event, does the snapshot reload acquire a write-lock that blocks readers? Under N concurrent gateway instances → N watch streams → N times the lock-pressure on the shared etcd's revision dispatch loop.

  2. etcd revision-stream serialization across concurrent `Watch()` RPCs. etcd processes watch events in a single goroutine per stream; multiple streams against the same etcd may share contention on the underlying boltdb. Worth measuring per-revision dispatch latency under load.

  3. Per-resource-type sequential application. If the gateway applies a multi-resource batch one resource at a time and re-builds the entire snapshot between each resource (rather than batching), the LAST resource (Guardrail) lands after Model + ApiKey + ProviderKey have each triggered N rebuilds. With 4 resources and N=2 gateways, that's 8 rebuilds before Guardrail is visible.

  4. Watch-event coalescing dropped. etcd allows server-side coalescing of watch events; if the gateway's client doesn't coalesce, every revision triggers a full snapshot reload. Under load that's O(N × revisions) reloads.

Suggested investigation path

  1. Add OTLP / Prom counters for "snapshot propagation latency by resource type" — measure 95th/99th percentile under `maxForks=2` and `maxForks=4` runs.
  2. Add a stress test that spawns N=8 `aisix` instances against one etcd, each writing a 4-resource batch and timing snapshot-visibility for the LAST resource. Compare N=1 vs N=2 vs N=4 vs N=8 propagation latency.
  3. If latency degrades super-linearly with N, that's the product bug; if linear-only, the harness budget needs further bump but no product change.

Workaround if root-cause takes time

If a product-side fix is too involved to ship quickly, the harness could:

  • Bump `waitConfigPropagation` deadline further (10s→20s or 30s).
  • Force `singleFork: true` in vitest config (sequential e2e files, eliminates concurrency entirely — slower but deterministic).
  • Refactor `guardrail-keyword-e2e.test.ts` to register the Guardrail resource FIRST (before Model + ApiKey + ProviderKey), so propagation completion of the last resource is no longer the load-bearing readiness signal.

Severity

MEDIUM as a product concern (only affects observed CI flakiness, no production data loss); HIGH as a CI-velocity concern (5 reruns burned on this same flake).

Audit trail

Surfaced cumulatively across #156, #165, #167, #169 (own first run), #172. The hypothesis was flagged as a LOW audit finding on #169 ("symptomatic fix; product-side hypothesis still open"). With 5 occurrences across 5 PRs, the hypothesis warrants product-side investigation rather than further harness band-aids.

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      , 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Add copy buttons to all
       blocks\n(function() {\n function addCopyButtons() {\n document.querySelectorAll('pre code').forEach(function(codeBlock) {\n if (codeBlock.parentElement.hasAttribute('data-copy-added')) return;\n codeBlock.parentElement.setAttribute('data-copy-added', 'true');\n \n var btn = document.createElement('button');\n btn.textContent = 'Copy';\n btn.style.cssText = 'position:absolute;top:4px;right:4px;padding:2px 8px;font-size:11px;background:#4ecdc4;border:none;border-radius:4px;color:#1a1a2e;cursor:pointer;opacity:0.7;transition:opacity 0.2s;';\n btn.onmouseover = function() { this.style.opacity = '1'; };\n btn.onmouseout = function() { this.style.opacity = '0.7'; };\n btn.onclick = function() {\n navigator.clipboard.writeText(codeBlock.textContent).then(function() {\n btn.textContent = 'Copied!';\n setTimeout(function() { btn.textContent = 'Copy'; }, 1500);\n });\n };\n codeBlock.parentElement.style.position = 'relative';\n codeBlock.parentElement.appendChild(btn);\n });\n }\n \n addCopyButtons();\n \n // Re-run on dynamic content\n var observer = new MutationObserver(addCopyButtons);\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Add Copy Buttons to Code Blocks");
      }
      } catch(__e) { console.warn('[Userscript:Add Copy Buttons to Code Blocks]', __e); }
      })();
      (function(){
      try {
      var __m = "github.com";
      var __re = new RegExp('^' + "github\\.com" + '
      
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      investigate: snapshot propagation latency degrades non-linearly under concurrent watchers (5th flake at maxForks=2 + 10s budget) #175

      Description

      @moonming

      Summary

      The harness-level fixes shipped in #169 (`waitConfigPropagation` 5s→10s + `maxForks` 4→2) did not eliminate the recurring flake on `guardrail-keyword-e2e.test.ts`. 5th occurrence observed on PR #172's CI (post-#169 rebase): `waitConfigPropagation: condition not met within 10s`.

      RunmaxForksbudgetOutcome
      1 (original #157)45sflake
      2 (#165)45sflake
      3 (#167)45sflake
      4 (#169 own first attempt)410sflake (motivated maxForks→2 escalation)
      5 (#172, post-#169 rebase)210sflake

      Pattern

      • Failure is concentrated on `guardrail-keyword-e2e.test.ts` — the test that gates readiness on the last resource in a 4-resource setup batch (Model + ApiKey + ProviderKey + Guardrail).
      • Infra knobs (lower parallelism, longer budget) reduce frequency but don't eliminate it.
      • Even at maxForks=2 with 10s budget, propagation latency for the trailing Guardrail resource exceeds the budget.

      This pattern strongly supports the product-side hypothesis that #157 noted as deferred:

      Real product slowness — the gateway's snapshot propagation queue under N concurrent watch streams from N gateway instances could have a contention bug. Worth investigating whether propagation latency degrades non-linearly with concurrent watcher count.

      Possible product-side root causes (need investigation)

      1. Lock contention in the snapshot reload path. When the gateway receives an etcd watch event, does the snapshot reload acquire a write-lock that blocks readers? Under N concurrent gateway instances → N watch streams → N times the lock-pressure on the shared etcd's revision dispatch loop.

      2. etcd revision-stream serialization across concurrent `Watch()` RPCs. etcd processes watch events in a single goroutine per stream; multiple streams against the same etcd may share contention on the underlying boltdb. Worth measuring per-revision dispatch latency under load.

      3. Per-resource-type sequential application. If the gateway applies a multi-resource batch one resource at a time and re-builds the entire snapshot between each resource (rather than batching), the LAST resource (Guardrail) lands after Model + ApiKey + ProviderKey have each triggered N rebuilds. With 4 resources and N=2 gateways, that's 8 rebuilds before Guardrail is visible.

      4. Watch-event coalescing dropped. etcd allows server-side coalescing of watch events; if the gateway's client doesn't coalesce, every revision triggers a full snapshot reload. Under load that's O(N × revisions) reloads.

      Suggested investigation path

      1. Add OTLP / Prom counters for "snapshot propagation latency by resource type" — measure 95th/99th percentile under `maxForks=2` and `maxForks=4` runs.
      2. Add a stress test that spawns N=8 `aisix` instances against one etcd, each writing a 4-resource batch and timing snapshot-visibility for the LAST resource. Compare N=1 vs N=2 vs N=4 vs N=8 propagation latency.
      3. If latency degrades super-linearly with N, that's the product bug; if linear-only, the harness budget needs further bump but no product change.

      Workaround if root-cause takes time

      If a product-side fix is too involved to ship quickly, the harness could:

      • Bump `waitConfigPropagation` deadline further (10s→20s or 30s).
      • Force `singleFork: true` in vitest config (sequential e2e files, eliminates concurrency entirely — slower but deterministic).
      • Refactor `guardrail-keyword-e2e.test.ts` to register the Guardrail resource FIRST (before Model + ApiKey + ProviderKey), so propagation completion of the last resource is no longer the load-bearing readiness signal.

      Severity

      MEDIUM as a product concern (only affects observed CI flakiness, no production data loss); HIGH as a CI-velocity concern (5 reruns burned on this same flake).

      Audit trail

      Surfaced cumulatively across #156, #165, #167, #169 (own first run), #172. The hypothesis was flagged as a LOW audit finding on #169 ("symptomatic fix; product-side hypothesis still open"). With 5 occurrences across 5 PRs, the hypothesis warrants product-side investigation rather than further harness band-aids.

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          , 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Force GitHub README to respect dark mode\n(function() {\n var style = document.createElement('style');\n style.textContent = '\n .markdown-body {\n color-scheme: dark light;\n }\n .markdown-body pre { background: #161b22 !important; }\n .markdown-body code { background: rgba(110, 118, 129, 0.4) !important; }\n .markdown-body table th, .markdown-body table td { border-color: #30363d !important; }\n .markdown-body img { background: #0d1117; }\n .markdown-body blockquote { border-left-color: #8b949e; }\n .markdown-body hr { border-color: #30363d; }\n ';\n document.head.appendChild(style);\n})();", "GitHub Dark Mode README Fix"); } } catch(__e) { console.warn('[Userscript:GitHub Dark Mode README Fix]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + '
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          investigate: snapshot propagation latency degrades non-linearly under concurrent watchers (5th flake at maxForks=2 + 10s budget) #175

          Description

          @moonming

          Summary

          The harness-level fixes shipped in #169 (`waitConfigPropagation` 5s→10s + `maxForks` 4→2) did not eliminate the recurring flake on `guardrail-keyword-e2e.test.ts`. 5th occurrence observed on PR #172's CI (post-#169 rebase): `waitConfigPropagation: condition not met within 10s`.

          RunmaxForksbudgetOutcome
          1 (original #157)45sflake
          2 (#165)45sflake
          3 (#167)45sflake
          4 (#169 own first attempt)410sflake (motivated maxForks→2 escalation)
          5 (#172, post-#169 rebase)210sflake

          Pattern

          • Failure is concentrated on `guardrail-keyword-e2e.test.ts` — the test that gates readiness on the last resource in a 4-resource setup batch (Model + ApiKey + ProviderKey + Guardrail).
          • Infra knobs (lower parallelism, longer budget) reduce frequency but don't eliminate it.
          • Even at maxForks=2 with 10s budget, propagation latency for the trailing Guardrail resource exceeds the budget.

          This pattern strongly supports the product-side hypothesis that #157 noted as deferred:

          Real product slowness — the gateway's snapshot propagation queue under N concurrent watch streams from N gateway instances could have a contention bug. Worth investigating whether propagation latency degrades non-linearly with concurrent watcher count.

          Possible product-side root causes (need investigation)

          1. Lock contention in the snapshot reload path. When the gateway receives an etcd watch event, does the snapshot reload acquire a write-lock that blocks readers? Under N concurrent gateway instances → N watch streams → N times the lock-pressure on the shared etcd's revision dispatch loop.

          2. etcd revision-stream serialization across concurrent `Watch()` RPCs. etcd processes watch events in a single goroutine per stream; multiple streams against the same etcd may share contention on the underlying boltdb. Worth measuring per-revision dispatch latency under load.

          3. Per-resource-type sequential application. If the gateway applies a multi-resource batch one resource at a time and re-builds the entire snapshot between each resource (rather than batching), the LAST resource (Guardrail) lands after Model + ApiKey + ProviderKey have each triggered N rebuilds. With 4 resources and N=2 gateways, that's 8 rebuilds before Guardrail is visible.

          4. Watch-event coalescing dropped. etcd allows server-side coalescing of watch events; if the gateway's client doesn't coalesce, every revision triggers a full snapshot reload. Under load that's O(N × revisions) reloads.

          Suggested investigation path

          1. Add OTLP / Prom counters for "snapshot propagation latency by resource type" — measure 95th/99th percentile under `maxForks=2` and `maxForks=4` runs.
          2. Add a stress test that spawns N=8 `aisix` instances against one etcd, each writing a 4-resource batch and timing snapshot-visibility for the LAST resource. Compare N=1 vs N=2 vs N=4 vs N=8 propagation latency.
          3. If latency degrades super-linearly with N, that's the product bug; if linear-only, the harness budget needs further bump but no product change.

          Workaround if root-cause takes time

          If a product-side fix is too involved to ship quickly, the harness could:

          • Bump `waitConfigPropagation` deadline further (10s→20s or 30s).
          • Force `singleFork: true` in vitest config (sequential e2e files, eliminates concurrency entirely — slower but deterministic).
          • Refactor `guardrail-keyword-e2e.test.ts` to register the Guardrail resource FIRST (before Model + ApiKey + ProviderKey), so propagation completion of the last resource is no longer the load-bearing readiness signal.

          Severity

          MEDIUM as a product concern (only affects observed CI flakiness, no production data loss); HIGH as a CI-velocity concern (5 reruns burned on this same flake).

          Audit trail

          Surfaced cumulatively across #156, #165, #167, #169 (own first run), #172. The hypothesis was flagged as a LOW audit finding on #169 ("symptomatic fix; product-side hypothesis still open"). With 5 occurrences across 5 PRs, the hypothesis warrants product-side investigation rather than further harness band-aids.

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          No one assigned

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              No milestone

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              None yet

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              No branches or pull requests

              Issue actions

              , 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Highlight search terms from Google/DuckDuckGo/Bing referrer\n(function() {\n var ref = document.referrer;\n var terms = [];\n \n if (ref.includes('google.com') || ref.includes('duckduckgo.com') || ref.includes('bing.com')) {\n var url = new URL(ref);\n var q = url.searchParams.get('q') || url.searchParams.get('p');\n if (q) {\n terms = q.split(/\\s+/).filter(function(t) { return t.length > 2; });\n }\n }\n \n if (terms.length === 0) return;\n \n var style = document.createElement('style');\n style.textContent = '.userscript-highlight { background: #fbbf24; color: #1a1a2e; padding: 1px 3px; border-radius: 2px; }';\n document.head.appendChild(style);\n \n function highlight(node) {\n if (node.nodeType === 3) { // text node\n var text = node.textContent;\n var found = false;\n terms.forEach(function(term) {\n var regex = new RegExp('(' + term.replace(/[.*+?^${}()|[\\]\\\\]/g, '\\\\') + ')', 'gi');\n if (regex.test(text)) {\n found = true;\n var frag = document.createDocumentFragment();\n var parts = text.split(regex);\n parts.forEach(function(part, i) {\n if (i % 2 === 0) {\n frag.appendChild(document.createTextNode(part));\n } else {\n var span = document.createElement('span');\n span.className = 'userscript-highlight';\n span.textContent = part;\n frag.appendChild(span);\n }\n });\n node.parentNode.replaceChild(frag, node);\n }\n });\n } else if (node.nodeType === 1 && node.childNodes) { // element\n var skipTags = ['SCRIPT', 'STYLE', 'NOSCRIPT', 'TEXTAREA', 'INPUT', 'SELECT'];\n if (!skipTags.includes(node.tagName)) {\n Array.from(node.childNodes).forEach(highlight);\n }\n }\n }\n \n highlight(document.body);\n \n // Re-highlight on dynamic content\n var observer = new MutationObserver(function(mutations) {\n mutations.forEach(function(m) {\n m.addedNodes.forEach(function(node) {\n if (node.nodeType === 1 || node.nodeType === 3) highlight(node);\n });\n });\n });\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Highlight Search Terms"); } } catch(__e) { console.warn('[Userscript:Highlight Search Terms]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + '
              Skip to content

              investigate: snapshot propagation latency degrades non-linearly under concurrent watchers (5th flake at maxForks=2 + 10s budget) #175

              Description

              @moonming

              Summary

              The harness-level fixes shipped in #169 (`waitConfigPropagation` 5s→10s + `maxForks` 4→2) did not eliminate the recurring flake on `guardrail-keyword-e2e.test.ts`. 5th occurrence observed on PR #172's CI (post-#169 rebase): `waitConfigPropagation: condition not met within 10s`.

              RunmaxForksbudgetOutcome
              1 (original #157)45sflake
              2 (#165)45sflake
              3 (#167)45sflake
              4 (#169 own first attempt)410sflake (motivated maxForks→2 escalation)
              5 (#172, post-#169 rebase)210sflake

              Pattern

              • Failure is concentrated on `guardrail-keyword-e2e.test.ts` — the test that gates readiness on the last resource in a 4-resource setup batch (Model + ApiKey + ProviderKey + Guardrail).
              • Infra knobs (lower parallelism, longer budget) reduce frequency but don't eliminate it.
              • Even at maxForks=2 with 10s budget, propagation latency for the trailing Guardrail resource exceeds the budget.

              This pattern strongly supports the product-side hypothesis that #157 noted as deferred:

              Real product slowness — the gateway's snapshot propagation queue under N concurrent watch streams from N gateway instances could have a contention bug. Worth investigating whether propagation latency degrades non-linearly with concurrent watcher count.

              Possible product-side root causes (need investigation)

              1. Lock contention in the snapshot reload path. When the gateway receives an etcd watch event, does the snapshot reload acquire a write-lock that blocks readers? Under N concurrent gateway instances → N watch streams → N times the lock-pressure on the shared etcd's revision dispatch loop.

              2. etcd revision-stream serialization across concurrent `Watch()` RPCs. etcd processes watch events in a single goroutine per stream; multiple streams against the same etcd may share contention on the underlying boltdb. Worth measuring per-revision dispatch latency under load.

              3. Per-resource-type sequential application. If the gateway applies a multi-resource batch one resource at a time and re-builds the entire snapshot between each resource (rather than batching), the LAST resource (Guardrail) lands after Model + ApiKey + ProviderKey have each triggered N rebuilds. With 4 resources and N=2 gateways, that's 8 rebuilds before Guardrail is visible.

              4. Watch-event coalescing dropped. etcd allows server-side coalescing of watch events; if the gateway's client doesn't coalesce, every revision triggers a full snapshot reload. Under load that's O(N × revisions) reloads.

              Suggested investigation path

              1. Add OTLP / Prom counters for "snapshot propagation latency by resource type" — measure 95th/99th percentile under `maxForks=2` and `maxForks=4` runs.
              2. Add a stress test that spawns N=8 `aisix` instances against one etcd, each writing a 4-resource batch and timing snapshot-visibility for the LAST resource. Compare N=1 vs N=2 vs N=4 vs N=8 propagation latency.
              3. If latency degrades super-linearly with N, that's the product bug; if linear-only, the harness budget needs further bump but no product change.

              Workaround if root-cause takes time

              If a product-side fix is too involved to ship quickly, the harness could:

              • Bump `waitConfigPropagation` deadline further (10s→20s or 30s).
              • Force `singleFork: true` in vitest config (sequential e2e files, eliminates concurrency entirely — slower but deterministic).
              • Refactor `guardrail-keyword-e2e.test.ts` to register the Guardrail resource FIRST (before Model + ApiKey + ProviderKey), so propagation completion of the last resource is no longer the load-bearing readiness signal.

              Severity

              MEDIUM as a product concern (only affects observed CI flakiness, no production data loss); HIGH as a CI-velocity concern (5 reruns burned on this same flake).

              Audit trail

              Surfaced cumulatively across #156, #165, #167, #169 (own first run), #172. The hypothesis was flagged as a LOW audit finding on #169 ("symptomatic fix; product-side hypothesis still open"). With 5 occurrences across 5 PRs, the hypothesis warrants product-side investigation rather than further harness band-aids.

              Metadata

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              Assignees

              No one assigned

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                No type

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                No projects

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                  No milestone

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                  None yet

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                  No branches or pull requests

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                  , 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Strip utm_, fbclid, gclid, etc. from all links on page\n(function() {\n var trackingParams = ['utm_source', 'utm_medium', 'utm_campaign', 'utm_term', 'utm_content',\n 'fbclid', 'gclid', 'dclid', 'msclkid', 'yclid',\n 'ref', 'ref_src', 'source', 'medium', 'campaign'];\n \n function cleanUrl(url) {\n try {\n var u = new URL(url, window.location.origin);\n var changed = false;\n trackingParams.forEach(function(p) {\n if (u.searchParams.has(p)) {\n u.searchParams.delete(p);\n changed = true;\n }\n });\n return changed ? u.toString() : url;\n } catch (e) {\n return url;\n }\n }\n \n function cleanLinks() {\n document.querySelectorAll('a[href]').forEach(function(a) {\n var clean = cleanUrl(a.href);\n if (clean !== a.href) a.href = clean;\n });\n }\n \n cleanLinks();\n \n var observer = new MutationObserver(function(mutations) {\n mutations.forEach(function(m) {\n m.addedNodes.forEach(function(node) {\n if (node.nodeType === 1) {\n if (node.tagName === 'A') cleanLinks();\n node.querySelectorAll('a[href]').forEach(function(a) {\n var clean = cleanUrl(a.href);\n if (clean !== a.href) a.href = clean;\n });\n }\n });\n });\n });\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Remove Tracking Parameters from Links"); } } catch(__e) { console.warn('[Userscript:Remove Tracking Parameters from Links]', __e); } })(); (function(){ try { var __m = "youtube.com"; var __re = new RegExp('^' + "youtube\\.com" + '
                  Skip to content

                  investigate: snapshot propagation latency degrades non-linearly under concurrent watchers (5th flake at maxForks=2 + 10s budget) #175

                  Description

                  @moonming

                  Summary

                  The harness-level fixes shipped in #169 (`waitConfigPropagation` 5s→10s + `maxForks` 4→2) did not eliminate the recurring flake on `guardrail-keyword-e2e.test.ts`. 5th occurrence observed on PR #172's CI (post-#169 rebase): `waitConfigPropagation: condition not met within 10s`.

                  RunmaxForksbudgetOutcome
                  1 (original #157)45sflake
                  2 (#165)45sflake
                  3 (#167)45sflake
                  4 (#169 own first attempt)410sflake (motivated maxForks→2 escalation)
                  5 (#172, post-#169 rebase)210sflake

                  Pattern

                  • Failure is concentrated on `guardrail-keyword-e2e.test.ts` — the test that gates readiness on the last resource in a 4-resource setup batch (Model + ApiKey + ProviderKey + Guardrail).
                  • Infra knobs (lower parallelism, longer budget) reduce frequency but don't eliminate it.
                  • Even at maxForks=2 with 10s budget, propagation latency for the trailing Guardrail resource exceeds the budget.

                  This pattern strongly supports the product-side hypothesis that #157 noted as deferred:

                  Real product slowness — the gateway's snapshot propagation queue under N concurrent watch streams from N gateway instances could have a contention bug. Worth investigating whether propagation latency degrades non-linearly with concurrent watcher count.

                  Possible product-side root causes (need investigation)

                  1. Lock contention in the snapshot reload path. When the gateway receives an etcd watch event, does the snapshot reload acquire a write-lock that blocks readers? Under N concurrent gateway instances → N watch streams → N times the lock-pressure on the shared etcd's revision dispatch loop.

                  2. etcd revision-stream serialization across concurrent `Watch()` RPCs. etcd processes watch events in a single goroutine per stream; multiple streams against the same etcd may share contention on the underlying boltdb. Worth measuring per-revision dispatch latency under load.

                  3. Per-resource-type sequential application. If the gateway applies a multi-resource batch one resource at a time and re-builds the entire snapshot between each resource (rather than batching), the LAST resource (Guardrail) lands after Model + ApiKey + ProviderKey have each triggered N rebuilds. With 4 resources and N=2 gateways, that's 8 rebuilds before Guardrail is visible.

                  4. Watch-event coalescing dropped. etcd allows server-side coalescing of watch events; if the gateway's client doesn't coalesce, every revision triggers a full snapshot reload. Under load that's O(N × revisions) reloads.

                  Suggested investigation path

                  1. Add OTLP / Prom counters for "snapshot propagation latency by resource type" — measure 95th/99th percentile under `maxForks=2` and `maxForks=4` runs.
                  2. Add a stress test that spawns N=8 `aisix` instances against one etcd, each writing a 4-resource batch and timing snapshot-visibility for the LAST resource. Compare N=1 vs N=2 vs N=4 vs N=8 propagation latency.
                  3. If latency degrades super-linearly with N, that's the product bug; if linear-only, the harness budget needs further bump but no product change.

                  Workaround if root-cause takes time

                  If a product-side fix is too involved to ship quickly, the harness could:

                  • Bump `waitConfigPropagation` deadline further (10s→20s or 30s).
                  • Force `singleFork: true` in vitest config (sequential e2e files, eliminates concurrency entirely — slower but deterministic).
                  • Refactor `guardrail-keyword-e2e.test.ts` to register the Guardrail resource FIRST (before Model + ApiKey + ProviderKey), so propagation completion of the last resource is no longer the load-bearing readiness signal.

                  Severity

                  MEDIUM as a product concern (only affects observed CI flakiness, no production data loss); HIGH as a CI-velocity concern (5 reruns burned on this same flake).

                  Audit trail

                  Surfaced cumulatively across #156, #165, #167, #169 (own first run), #172. The hypothesis was flagged as a LOW audit finding on #169 ("symptomatic fix; product-side hypothesis still open"). With 5 occurrences across 5 PRs, the hypothesis warrants product-side investigation rather than further harness band-aids.

                  Metadata

                  Metadata

                  Assignees

                  No one assigned

                    Labels

                    Type

                    No type

                    Projects

                    No projects

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                      No milestone

                      Relationships

                      None yet

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                      , 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Auto-enable theater mode on YouTube\n(function() {\n function tryTheater() {\n var btn = document.querySelector('button[aria-label=\"Theater mode\"], ytd-player #player button[title=\"Theater mode\"]');\n if (btn && !btn.classList.contains('activated')) {\n btn.click();\n }\n }\n \n // Try immediately\n tryTheater();\n \n // Try after navigation (SPA)\n var lastUrl = location.href;\n setInterval(function() {\n if (location.href !== lastUrl) {\n lastUrl = location.href;\n setTimeout(tryTheater, 500);\n }\n }, 1000);\n \n // Also try on player load\n var observer = new MutationObserver(tryTheater);\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "YouTube Theater Mode Default"); } } catch(__e) { console.warn('[Userscript:YouTube Theater Mode Default]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + '
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                      investigate: snapshot propagation latency degrades non-linearly under concurrent watchers (5th flake at maxForks=2 + 10s budget) #175

                      Description

                      @moonming

                      Summary

                      The harness-level fixes shipped in #169 (`waitConfigPropagation` 5s→10s + `maxForks` 4→2) did not eliminate the recurring flake on `guardrail-keyword-e2e.test.ts`. 5th occurrence observed on PR #172's CI (post-#169 rebase): `waitConfigPropagation: condition not met within 10s`.

                      RunmaxForksbudgetOutcome
                      1 (original #157)45sflake
                      2 (#165)45sflake
                      3 (#167)45sflake
                      4 (#169 own first attempt)410sflake (motivated maxForks→2 escalation)
                      5 (#172, post-#169 rebase)210sflake

                      Pattern

                      • Failure is concentrated on `guardrail-keyword-e2e.test.ts` — the test that gates readiness on the last resource in a 4-resource setup batch (Model + ApiKey + ProviderKey + Guardrail).
                      • Infra knobs (lower parallelism, longer budget) reduce frequency but don't eliminate it.
                      • Even at maxForks=2 with 10s budget, propagation latency for the trailing Guardrail resource exceeds the budget.

                      This pattern strongly supports the product-side hypothesis that #157 noted as deferred:

                      Real product slowness — the gateway's snapshot propagation queue under N concurrent watch streams from N gateway instances could have a contention bug. Worth investigating whether propagation latency degrades non-linearly with concurrent watcher count.

                      Possible product-side root causes (need investigation)

                      1. Lock contention in the snapshot reload path. When the gateway receives an etcd watch event, does the snapshot reload acquire a write-lock that blocks readers? Under N concurrent gateway instances → N watch streams → N times the lock-pressure on the shared etcd's revision dispatch loop.

                      2. etcd revision-stream serialization across concurrent `Watch()` RPCs. etcd processes watch events in a single goroutine per stream; multiple streams against the same etcd may share contention on the underlying boltdb. Worth measuring per-revision dispatch latency under load.

                      3. Per-resource-type sequential application. If the gateway applies a multi-resource batch one resource at a time and re-builds the entire snapshot between each resource (rather than batching), the LAST resource (Guardrail) lands after Model + ApiKey + ProviderKey have each triggered N rebuilds. With 4 resources and N=2 gateways, that's 8 rebuilds before Guardrail is visible.

                      4. Watch-event coalescing dropped. etcd allows server-side coalescing of watch events; if the gateway's client doesn't coalesce, every revision triggers a full snapshot reload. Under load that's O(N × revisions) reloads.

                      Suggested investigation path

                      1. Add OTLP / Prom counters for "snapshot propagation latency by resource type" — measure 95th/99th percentile under `maxForks=2` and `maxForks=4` runs.
                      2. Add a stress test that spawns N=8 `aisix` instances against one etcd, each writing a 4-resource batch and timing snapshot-visibility for the LAST resource. Compare N=1 vs N=2 vs N=4 vs N=8 propagation latency.
                      3. If latency degrades super-linearly with N, that's the product bug; if linear-only, the harness budget needs further bump but no product change.

                      Workaround if root-cause takes time

                      If a product-side fix is too involved to ship quickly, the harness could:

                      • Bump `waitConfigPropagation` deadline further (10s→20s or 30s).
                      • Force `singleFork: true` in vitest config (sequential e2e files, eliminates concurrency entirely — slower but deterministic).
                      • Refactor `guardrail-keyword-e2e.test.ts` to register the Guardrail resource FIRST (before Model + ApiKey + ProviderKey), so propagation completion of the last resource is no longer the load-bearing readiness signal.

                      Severity

                      MEDIUM as a product concern (only affects observed CI flakiness, no production data loss); HIGH as a CI-velocity concern (5 reruns burned on this same flake).

                      Audit trail

                      Surfaced cumulatively across #156, #165, #167, #169 (own first run), #172. The hypothesis was flagged as a LOW audit finding on #169 ("symptomatic fix; product-side hypothesis still open"). With 5 occurrences across 5 PRs, the hypothesis warrants product-side investigation rather than further harness band-aids.

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                          , 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Remove or un-stick sticky/fixed headers that block content\n(function() {\n function unstick() {\n document.querySelectorAll('header, nav, [role=\"banner\"], .header, .navbar, .sticky, .fixed-top, [style*=\"position: fixed\"], [style*=\"position:sticky\"]').forEach(function(el) {\n if (el.style.position === 'fixed' || el.style.position === 'sticky' || \n getComputedStyle(el).position === 'fixed' || getComputedStyle(el).position === 'sticky') {\n el.style.position = 'static';\n el.style.top = 'auto';\n el.style.zIndex = 'auto';\n }\n });\n }\n \n unstick();\n \n var observer = new MutationObserver(unstick);\n observer.observe(document.body, { childList: true, subtree: true, attributes: true, attributeFilter: ['style', 'class'] });\n})();", "Kill Sticky Headers"); } } catch(__e) { console.warn('[Userscript:Kill Sticky Headers]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + '
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                          investigate: snapshot propagation latency degrades non-linearly under concurrent watchers (5th flake at maxForks=2 + 10s budget) #175

                          Description

                          @moonming

                          Summary

                          The harness-level fixes shipped in #169 (`waitConfigPropagation` 5s→10s + `maxForks` 4→2) did not eliminate the recurring flake on `guardrail-keyword-e2e.test.ts`. 5th occurrence observed on PR #172's CI (post-#169 rebase): `waitConfigPropagation: condition not met within 10s`.

                          RunmaxForksbudgetOutcome
                          1 (original #157)45sflake
                          2 (#165)45sflake
                          3 (#167)45sflake
                          4 (#169 own first attempt)410sflake (motivated maxForks→2 escalation)
                          5 (#172, post-#169 rebase)210sflake

                          Pattern

                          • Failure is concentrated on `guardrail-keyword-e2e.test.ts` — the test that gates readiness on the last resource in a 4-resource setup batch (Model + ApiKey + ProviderKey + Guardrail).
                          • Infra knobs (lower parallelism, longer budget) reduce frequency but don't eliminate it.
                          • Even at maxForks=2 with 10s budget, propagation latency for the trailing Guardrail resource exceeds the budget.

                          This pattern strongly supports the product-side hypothesis that #157 noted as deferred:

                          Real product slowness — the gateway's snapshot propagation queue under N concurrent watch streams from N gateway instances could have a contention bug. Worth investigating whether propagation latency degrades non-linearly with concurrent watcher count.

                          Possible product-side root causes (need investigation)

                          1. Lock contention in the snapshot reload path. When the gateway receives an etcd watch event, does the snapshot reload acquire a write-lock that blocks readers? Under N concurrent gateway instances → N watch streams → N times the lock-pressure on the shared etcd's revision dispatch loop.

                          2. etcd revision-stream serialization across concurrent `Watch()` RPCs. etcd processes watch events in a single goroutine per stream; multiple streams against the same etcd may share contention on the underlying boltdb. Worth measuring per-revision dispatch latency under load.

                          3. Per-resource-type sequential application. If the gateway applies a multi-resource batch one resource at a time and re-builds the entire snapshot between each resource (rather than batching), the LAST resource (Guardrail) lands after Model + ApiKey + ProviderKey have each triggered N rebuilds. With 4 resources and N=2 gateways, that's 8 rebuilds before Guardrail is visible.

                          4. Watch-event coalescing dropped. etcd allows server-side coalescing of watch events; if the gateway's client doesn't coalesce, every revision triggers a full snapshot reload. Under load that's O(N × revisions) reloads.

                          Suggested investigation path

                          1. Add OTLP / Prom counters for "snapshot propagation latency by resource type" — measure 95th/99th percentile under `maxForks=2` and `maxForks=4` runs.
                          2. Add a stress test that spawns N=8 `aisix` instances against one etcd, each writing a 4-resource batch and timing snapshot-visibility for the LAST resource. Compare N=1 vs N=2 vs N=4 vs N=8 propagation latency.
                          3. If latency degrades super-linearly with N, that's the product bug; if linear-only, the harness budget needs further bump but no product change.

                          Workaround if root-cause takes time

                          If a product-side fix is too involved to ship quickly, the harness could:

                          • Bump `waitConfigPropagation` deadline further (10s→20s or 30s).
                          • Force `singleFork: true` in vitest config (sequential e2e files, eliminates concurrency entirely — slower but deterministic).
                          • Refactor `guardrail-keyword-e2e.test.ts` to register the Guardrail resource FIRST (before Model + ApiKey + ProviderKey), so propagation completion of the last resource is no longer the load-bearing readiness signal.

                          Severity

                          MEDIUM as a product concern (only affects observed CI flakiness, no production data loss); HIGH as a CI-velocity concern (5 reruns burned on this same flake).

                          Audit trail

                          Surfaced cumulatively across #156, #165, #167, #169 (own first run), #172. The hypothesis was flagged as a LOW audit finding on #169 ("symptomatic fix; product-side hypothesis still open"). With 5 occurrences across 5 PRs, the hypothesis warrants product-side investigation rather than further harness band-aids.

                          Metadata

                          Metadata

                          Assignees

                          No one assigned

                            Labels

                            Type

                            No type

                            Projects

                            No projects

                              Milestone

                              No milestone

                              Relationships

                              None yet

                              Development

                              No branches or pull requests

                              Issue actions

                              , 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Universal Dark Mode - works on any site\n(function() {\n var enabled = true;\n \n function applyDarkMode() {\n if (!enabled) return;\n \n // Create style element if it doesn't exist\n var style = document.getElementById('universal-dark-mode-style');\n if (!style) {\n style = document.createElement('style');\n style.id = 'universal-dark-mode-style';\n document.head.appendChild(style);\n }\n \n // Dark mode CSS - inverts colors but preserves images/video\n style.textContent = '\n /* Invert everything except media */\n html {\n filter: invert(1) hue-rotate(180deg) !important;\n background: #1a1a2e !important;\n }\n \n /* Restore images, videos, iframes, canvas */\n img, video, iframe, canvas, svg, picture, [style*=\"background-image\"] {\n filter: invert(1) hue-rotate(180deg) !important;\n }\n \n /* Preserve specific elements that should not be inverted */\n .no-dark-mode, .no-dark-mode *,\n [data-theme=\"light\"], [data-theme=\"light\"],\n .ace_editor, .ace_editor *,\n .CodeMirror, .CodeMirror *,\n .monaco-editor, .monaco-editor *,\n .markdown-body pre, .markdown-body pre *,\n .highlight, .highlight *,\n pre code, pre code * {\n filter: none !important;\n }\n \n /* Fix common UI elements */\n .modal, .popup, .dropdown-menu, .tooltip, .popover {\n filter: invert(1) hue-rotate(180deg) !important;\n background: #2d2d44 !important;\n border-color: #444 !important;\n }\n \n /* Scrollbars */\n ::-webkit-scrollbar { background: #1a1a2e !important; }\n ::-webkit-scrollbar-thumb { background: #444 !important; }\n ::-webkit-scrollbar-thumb:hover { background: #555 !important; }\n \n /* Selection */\n ::selection { background: #4ecdc4 !important; color: #1a1a2e !important; }\n ::-moz-selection { background: #4ecdc4 !important; color: #1a1a2e !important; }\n ';\n }\n \n function removeDarkMode() {\n var style = document.getElementById('universal-dark-mode-style');\n if (style) style.remove();\n }\n \n // Toggle with Alt+Shift+D\n document.addEventListener('keydown', function(e) {\n if (e.altKey && e.shiftKey && e.key === 'D') {\n e.preventDefault();\n enabled = !enabled;\n if (enabled) {\n applyDarkMode();\n console.log('[Universal Dark Mode] Enabled');\n } else {\n removeDarkMode();\n console.log('[Universal Dark Mode] Disabled');\n }\n }\n });\n \n // Apply on load\n applyDarkMode();\n \n // Re-apply on dynamic content\n var observer = new MutationObserver(function(mutations) {\n if (enabled && !document.getElementById('universal-dark-mode-style')) {\n applyDarkMode();\n }\n });\n observer.observe(document.head, { childList: true });\n \n console.log('[Universal Dark Mode] Loaded - Press Alt+Shift+D to toggle');\n})();", "Universal Dark Mode"); } } catch(__e) { console.warn('[Userscript:Universal Dark Mode]', __e); } })(); })();
                              Skip to content

                              investigate: snapshot propagation latency degrades non-linearly under concurrent watchers (5th flake at maxForks=2 + 10s budget) #175

                              Description

                              @moonming

                              Summary

                              The harness-level fixes shipped in #169 (`waitConfigPropagation` 5s→10s + `maxForks` 4→2) did not eliminate the recurring flake on `guardrail-keyword-e2e.test.ts`. 5th occurrence observed on PR #172's CI (post-#169 rebase): `waitConfigPropagation: condition not met within 10s`.

                              RunmaxForksbudgetOutcome
                              1 (original #157)45sflake
                              2 (#165)45sflake
                              3 (#167)45sflake
                              4 (#169 own first attempt)410sflake (motivated maxForks→2 escalation)
                              5 (#172, post-#169 rebase)210sflake

                              Pattern

                              • Failure is concentrated on `guardrail-keyword-e2e.test.ts` — the test that gates readiness on the last resource in a 4-resource setup batch (Model + ApiKey + ProviderKey + Guardrail).
                              • Infra knobs (lower parallelism, longer budget) reduce frequency but don't eliminate it.
                              • Even at maxForks=2 with 10s budget, propagation latency for the trailing Guardrail resource exceeds the budget.

                              This pattern strongly supports the product-side hypothesis that #157 noted as deferred:

                              Real product slowness — the gateway's snapshot propagation queue under N concurrent watch streams from N gateway instances could have a contention bug. Worth investigating whether propagation latency degrades non-linearly with concurrent watcher count.

                              Possible product-side root causes (need investigation)

                              1. Lock contention in the snapshot reload path. When the gateway receives an etcd watch event, does the snapshot reload acquire a write-lock that blocks readers? Under N concurrent gateway instances → N watch streams → N times the lock-pressure on the shared etcd's revision dispatch loop.

                              2. etcd revision-stream serialization across concurrent `Watch()` RPCs. etcd processes watch events in a single goroutine per stream; multiple streams against the same etcd may share contention on the underlying boltdb. Worth measuring per-revision dispatch latency under load.

                              3. Per-resource-type sequential application. If the gateway applies a multi-resource batch one resource at a time and re-builds the entire snapshot between each resource (rather than batching), the LAST resource (Guardrail) lands after Model + ApiKey + ProviderKey have each triggered N rebuilds. With 4 resources and N=2 gateways, that's 8 rebuilds before Guardrail is visible.

                              4. Watch-event coalescing dropped. etcd allows server-side coalescing of watch events; if the gateway's client doesn't coalesce, every revision triggers a full snapshot reload. Under load that's O(N × revisions) reloads.

                              Suggested investigation path

                              1. Add OTLP / Prom counters for "snapshot propagation latency by resource type" — measure 95th/99th percentile under `maxForks=2` and `maxForks=4` runs.
                              2. Add a stress test that spawns N=8 `aisix` instances against one etcd, each writing a 4-resource batch and timing snapshot-visibility for the LAST resource. Compare N=1 vs N=2 vs N=4 vs N=8 propagation latency.
                              3. If latency degrades super-linearly with N, that's the product bug; if linear-only, the harness budget needs further bump but no product change.

                              Workaround if root-cause takes time

                              If a product-side fix is too involved to ship quickly, the harness could:

                              • Bump `waitConfigPropagation` deadline further (10s→20s or 30s).
                              • Force `singleFork: true` in vitest config (sequential e2e files, eliminates concurrency entirely — slower but deterministic).
                              • Refactor `guardrail-keyword-e2e.test.ts` to register the Guardrail resource FIRST (before Model + ApiKey + ProviderKey), so propagation completion of the last resource is no longer the load-bearing readiness signal.

                              Severity

                              MEDIUM as a product concern (only affects observed CI flakiness, no production data loss); HIGH as a CI-velocity concern (5 reruns burned on this same flake).

                              Audit trail

                              Surfaced cumulatively across #156, #165, #167, #169 (own first run), #172. The hypothesis was flagged as a LOW audit finding on #169 ("symptomatic fix; product-side hypothesis still open"). With 5 occurrences across 5 PRs, the hypothesis warrants product-side investigation rather than further harness band-aids.

                              Metadata

                              Metadata

                              Assignees

                              No one assigned

                                Labels

                                Type

                                No type

                                Projects

                                No projects

                                  Milestone

                                  No milestone

                                  Relationships

                                  None yet

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                                  No branches or pull requests

                                  Issue actions