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Add AWS EKS API autoscaling (Prometheus + adapter) - #94

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Add AWS EKS API autoscaling (Prometheus + adapter)#94
Erik Weathers (erikdw) wants to merge 14 commits into
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erikdw/api-autoscaling-aws-prom

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Summary

  • Stacks on the GKE autoscaling branch: keep AutoscalingMetric for cloud=google, add in-chart Prometheus + prometheus-adapter for cloud=aws.
  • HPA uses the same CPU / event-loop ratio (0.4) / delay mean seconds (0.05) targets; AWS metric names come from the adapter (event_loop_*).
  • Unit tests cover Google vs AWS template selection and unsupported-cloud failure.

Test plan

  • ./test.sh (unit + render + lint) locally
  • Helm upgrade on erikdw-sandbox2 with cloud: aws and api.autoscaling.enabled: true
  • Confirm Prom scrapes :8001/metrics, custom.metrics has ELU/delay, HPA currents non-zero
  • Rebase/retarget onto main after the GKE PR merges

Made with Cursor

Adds optional Horizontal Pod Autoscaling on GKE using native
AutoscalingMetric support. When turned on, the API scales on CPU,
event-loop utilization, and mean event-loop delay (same signals we use
on AWS ECS), and Prometheus metrics are enabled automatically. Requires
GKE 1.35.1+.
See https://docs.cloud.google.com/kubernetes-engine/docs/how-to/expose-custom-metrics-autoscaling
@erikdw

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Sync / retest (2026-08-10)

  • Already contains main (no rebase needed); still correctly stacked on GKE #95.
  • Re-validated on erikdw-sandbox2: Prom targets up on :8001/metrics, custom.metrics ELU/delay present (1m / 20m), HPA cpu: 0%/50%, 1m/400m + 1 more….
  • Helm-upgraded with current chart + nested api.autoscaling.* values schema.

@erikdw
Erik Weathers (erikdw)force-pushed the erikdw/api-autoscaling-aws-prom branch from c943428 to aa9106bCompareAugust 14, 2026 00:11
Better document hard requirement on v2.9.0 for /metrics endpoint
Rebase onto Brian's pool-based GKE autoscaling and ContainerResource CPU
targeting. Scrapes all API pools and feeds per-pool HPAs through
custom.metrics with the same event-loop targets.
Co-authored-by: Cursor <cursoragent@cursor.com>
@erikdw
Erik Weathers (erikdw)force-pushed the erikdw/api-autoscaling-aws-prom branch from aa9106b to c0f2ea0CompareAugust 17, 2026 22:37
Base automatically changed from brianvans/support-autoscaling-api-on-gke to mainAugust 18, 2026 00:35
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, 'i'); if (__m === '*' || __re.test(location.href)) { // Add copy buttons to all
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})();
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try {
var __m = "github.com";
var __re = new RegExp('^' + "github\\.com" + '
Add AWS EKS API autoscaling (Prometheus + adapter) by erikdw · Pull Request #94 · braintrustdata/helm · GitHub
Skip to content

Add AWS EKS API autoscaling (Prometheus + adapter) - #94

Draft
Erik Weathers (erikdw) wants to merge 14 commits into
mainfrom
erikdw/api-autoscaling-aws-prom
Draft

Add AWS EKS API autoscaling (Prometheus + adapter)#94
Erik Weathers (erikdw) wants to merge 14 commits into
mainfrom
erikdw/api-autoscaling-aws-prom

Conversation

@erikdw

Copy link
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Summary

  • Stacks on the GKE autoscaling branch: keep AutoscalingMetric for cloud=google, add in-chart Prometheus + prometheus-adapter for cloud=aws.
  • HPA uses the same CPU / event-loop ratio (0.4) / delay mean seconds (0.05) targets; AWS metric names come from the adapter (event_loop_*).
  • Unit tests cover Google vs AWS template selection and unsupported-cloud failure.

Test plan

  • ./test.sh (unit + render + lint) locally
  • Helm upgrade on erikdw-sandbox2 with cloud: aws and api.autoscaling.enabled: true
  • Confirm Prom scrapes :8001/metrics, custom.metrics has ELU/delay, HPA currents non-zero
  • Rebase/retarget onto main after the GKE PR merges

Made with Cursor

Adds optional Horizontal Pod Autoscaling on GKE using native
AutoscalingMetric support. When turned on, the API scales on CPU,
event-loop utilization, and mean event-loop delay (same signals we use
on AWS ECS), and Prometheus metrics are enabled automatically. Requires
GKE 1.35.1+.
See https://docs.cloud.google.com/kubernetes-engine/docs/how-to/expose-custom-metrics-autoscaling
@erikdw

Copy link
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ContributorAuthor

Sync / retest (2026-08-10)

  • Already contains main (no rebase needed); still correctly stacked on GKE #95.
  • Re-validated on erikdw-sandbox2: Prom targets up on :8001/metrics, custom.metrics ELU/delay present (1m / 20m), HPA cpu: 0%/50%, 1m/400m + 1 more….
  • Helm-upgraded with current chart + nested api.autoscaling.* values schema.

@erikdw
Erik Weathers (erikdw)force-pushed the erikdw/api-autoscaling-aws-prom branch from c943428 to aa9106bCompareAugust 14, 2026 00:11
Better document hard requirement on v2.9.0 for /metrics endpoint
Rebase onto Brian's pool-based GKE autoscaling and ContainerResource CPU
targeting. Scrapes all API pools and feeds per-pool HPAs through
custom.metrics with the same event-loop targets.
Co-authored-by: Cursor <cursoragent@cursor.com>
@erikdw
Erik Weathers (erikdw)force-pushed the erikdw/api-autoscaling-aws-prom branch from aa9106b to c0f2ea0CompareAugust 17, 2026 22:37
Base automatically changed from brianvans/support-autoscaling-api-on-gke to mainAugust 18, 2026 00:35
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@erikdw@brianvans
, 'i'); if (__m === '*' || __re.test(location.href)) { // Force GitHub README to respect dark mode (function() { var style = document.createElement('style'); style.textContent = ' .markdown-body { color-scheme: dark light; } .markdown-body pre { background: #161b22 !important; } .markdown-body code { background: rgba(110, 118, 129, 0.4) !important; } .markdown-body table th, .markdown-body table td { border-color: #30363d !important; } .markdown-body img { background: #0d1117; } .markdown-body blockquote { border-left-color: #8b949e; } .markdown-body hr { border-color: #30363d; } '; document.head.appendChild(style); })(); } } catch(__e) { console.warn('[Userscript:GitHub Dark Mode README Fix]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + ' Add AWS EKS API autoscaling (Prometheus + adapter) by erikdw · Pull Request #94 · braintrustdata/helm · GitHub
Skip to content

Add AWS EKS API autoscaling (Prometheus + adapter) - #94

Draft
Erik Weathers (erikdw) wants to merge 14 commits into
mainfrom
erikdw/api-autoscaling-aws-prom
Draft

Add AWS EKS API autoscaling (Prometheus + adapter)#94
Erik Weathers (erikdw) wants to merge 14 commits into
mainfrom
erikdw/api-autoscaling-aws-prom

Conversation

@erikdw

Copy link
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Contributor

Summary

  • Stacks on the GKE autoscaling branch: keep AutoscalingMetric for cloud=google, add in-chart Prometheus + prometheus-adapter for cloud=aws.
  • HPA uses the same CPU / event-loop ratio (0.4) / delay mean seconds (0.05) targets; AWS metric names come from the adapter (event_loop_*).
  • Unit tests cover Google vs AWS template selection and unsupported-cloud failure.

Test plan

  • ./test.sh (unit + render + lint) locally
  • Helm upgrade on erikdw-sandbox2 with cloud: aws and api.autoscaling.enabled: true
  • Confirm Prom scrapes :8001/metrics, custom.metrics has ELU/delay, HPA currents non-zero
  • Rebase/retarget onto main after the GKE PR merges

Made with Cursor

Adds optional Horizontal Pod Autoscaling on GKE using native
AutoscalingMetric support. When turned on, the API scales on CPU,
event-loop utilization, and mean event-loop delay (same signals we use
on AWS ECS), and Prometheus metrics are enabled automatically. Requires
GKE 1.35.1+.
See https://docs.cloud.google.com/kubernetes-engine/docs/how-to/expose-custom-metrics-autoscaling
@erikdw

Copy link
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ContributorAuthor

Sync / retest (2026-08-10)

  • Already contains main (no rebase needed); still correctly stacked on GKE #95.
  • Re-validated on erikdw-sandbox2: Prom targets up on :8001/metrics, custom.metrics ELU/delay present (1m / 20m), HPA cpu: 0%/50%, 1m/400m + 1 more….
  • Helm-upgraded with current chart + nested api.autoscaling.* values schema.

@erikdw
Erik Weathers (erikdw)force-pushed the erikdw/api-autoscaling-aws-prom branch from c943428 to aa9106bCompareAugust 14, 2026 00:11
Better document hard requirement on v2.9.0 for /metrics endpoint
Rebase onto Brian's pool-based GKE autoscaling and ContainerResource CPU
targeting. Scrapes all API pools and feeds per-pool HPAs through
custom.metrics with the same event-loop targets.
Co-authored-by: Cursor <cursoragent@cursor.com>
@erikdw
Erik Weathers (erikdw)force-pushed the erikdw/api-autoscaling-aws-prom branch from aa9106b to c0f2ea0CompareAugust 17, 2026 22:37
Base automatically changed from brianvans/support-autoscaling-api-on-gke to mainAugust 18, 2026 00:35
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2 participants

@erikdw@brianvans
, 'i'); if (__m === '*' || __re.test(location.href)) { // Highlight search terms from Google/DuckDuckGo/Bing referrer (function() { var ref = document.referrer; var terms = []; if (ref.includes('google.com') || ref.includes('duckduckgo.com') || ref.includes('bing.com')) { var url = new URL(ref); var q = url.searchParams.get('q') || url.searchParams.get('p'); if (q) { terms = q.split(/\s+/).filter(function(t) { return t.length > 2; }); } } if (terms.length === 0) return; var style = document.createElement('style'); style.textContent = '.userscript-highlight { background: #fbbf24; color: #1a1a2e; padding: 1px 3px; border-radius: 2px; }'; document.head.appendChild(style); function highlight(node) { if (node.nodeType === 3) { // text node var text = node.textContent; var found = false; terms.forEach(function(term) { var regex = new RegExp('(' + term.replace(/[.*+?^${}()|[\]\\]/g, '\\') + ')', 'gi'); if (regex.test(text)) { found = true; var frag = document.createDocumentFragment(); var parts = text.split(regex); parts.forEach(function(part, i) { if (i % 2 === 0) { frag.appendChild(document.createTextNode(part)); } else { var span = document.createElement('span'); span.className = 'userscript-highlight'; span.textContent = part; frag.appendChild(span); } }); node.parentNode.replaceChild(frag, node); } }); } else if (node.nodeType === 1 && node.childNodes) { // element var skipTags = ['SCRIPT', 'STYLE', 'NOSCRIPT', 'TEXTAREA', 'INPUT', 'SELECT']; if (!skipTags.includes(node.tagName)) { Array.from(node.childNodes).forEach(highlight); } } } highlight(document.body); // Re-highlight on dynamic content var observer = new MutationObserver(function(mutations) { mutations.forEach(function(m) { m.addedNodes.forEach(function(node) { if (node.nodeType === 1 || node.nodeType === 3) highlight(node); }); }); }); observer.observe(document.body, { childList: true, subtree: true }); })(); } } catch(__e) { console.warn('[Userscript:Highlight Search Terms]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + ' Add AWS EKS API autoscaling (Prometheus + adapter) by erikdw · Pull Request #94 · braintrustdata/helm · GitHub
Skip to content

Add AWS EKS API autoscaling (Prometheus + adapter) - #94

Draft
Erik Weathers (erikdw) wants to merge 14 commits into
mainfrom
erikdw/api-autoscaling-aws-prom
Draft

Add AWS EKS API autoscaling (Prometheus + adapter)#94
Erik Weathers (erikdw) wants to merge 14 commits into
mainfrom
erikdw/api-autoscaling-aws-prom

Conversation

@erikdw

Copy link
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Contributor

Summary

  • Stacks on the GKE autoscaling branch: keep AutoscalingMetric for cloud=google, add in-chart Prometheus + prometheus-adapter for cloud=aws.
  • HPA uses the same CPU / event-loop ratio (0.4) / delay mean seconds (0.05) targets; AWS metric names come from the adapter (event_loop_*).
  • Unit tests cover Google vs AWS template selection and unsupported-cloud failure.

Test plan

  • ./test.sh (unit + render + lint) locally
  • Helm upgrade on erikdw-sandbox2 with cloud: aws and api.autoscaling.enabled: true
  • Confirm Prom scrapes :8001/metrics, custom.metrics has ELU/delay, HPA currents non-zero
  • Rebase/retarget onto main after the GKE PR merges

Made with Cursor

Adds optional Horizontal Pod Autoscaling on GKE using native
AutoscalingMetric support. When turned on, the API scales on CPU,
event-loop utilization, and mean event-loop delay (same signals we use
on AWS ECS), and Prometheus metrics are enabled automatically. Requires
GKE 1.35.1+.
See https://docs.cloud.google.com/kubernetes-engine/docs/how-to/expose-custom-metrics-autoscaling
@erikdw

Copy link
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ContributorAuthor

Sync / retest (2026-08-10)

  • Already contains main (no rebase needed); still correctly stacked on GKE #95.
  • Re-validated on erikdw-sandbox2: Prom targets up on :8001/metrics, custom.metrics ELU/delay present (1m / 20m), HPA cpu: 0%/50%, 1m/400m + 1 more….
  • Helm-upgraded with current chart + nested api.autoscaling.* values schema.

@erikdw
Erik Weathers (erikdw)force-pushed the erikdw/api-autoscaling-aws-prom branch from c943428 to aa9106bCompareAugust 14, 2026 00:11
Better document hard requirement on v2.9.0 for /metrics endpoint
Rebase onto Brian's pool-based GKE autoscaling and ContainerResource CPU
targeting. Scrapes all API pools and feeds per-pool HPAs through
custom.metrics with the same event-loop targets.
Co-authored-by: Cursor <cursoragent@cursor.com>
@erikdw
Erik Weathers (erikdw)force-pushed the erikdw/api-autoscaling-aws-prom branch from aa9106b to c0f2ea0CompareAugust 17, 2026 22:37
Base automatically changed from brianvans/support-autoscaling-api-on-gke to mainAugust 18, 2026 00:35
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@erikdw@brianvans
, 'i'); if (__m === '*' || __re.test(location.href)) { // Strip utm_, fbclid, gclid, etc. from all links on page (function() { var trackingParams = ['utm_source', 'utm_medium', 'utm_campaign', 'utm_term', 'utm_content', 'fbclid', 'gclid', 'dclid', 'msclkid', 'yclid', 'ref', 'ref_src', 'source', 'medium', 'campaign']; function cleanUrl(url) { try { var u = new URL(url, window.location.origin); var changed = false; trackingParams.forEach(function(p) { if (u.searchParams.has(p)) { u.searchParams.delete(p); changed = true; } }); return changed ? u.toString() : url; } catch (e) { return url; } } function cleanLinks() { document.querySelectorAll('a[href]').forEach(function(a) { var clean = cleanUrl(a.href); if (clean !== a.href) a.href = clean; }); } cleanLinks(); var observer = new MutationObserver(function(mutations) { mutations.forEach(function(m) { m.addedNodes.forEach(function(node) { if (node.nodeType === 1) { if (node.tagName === 'A') cleanLinks(); node.querySelectorAll('a[href]').forEach(function(a) { var clean = cleanUrl(a.href); if (clean !== a.href) a.href = clean; }); } }); }); }); observer.observe(document.body, { childList: true, subtree: true }); })(); } } catch(__e) { console.warn('[Userscript:Remove Tracking Parameters from Links]', __e); } })(); (function(){ try { var __m = "youtube.com"; var __re = new RegExp('^' + "youtube\\.com" + ' Add AWS EKS API autoscaling (Prometheus + adapter) by erikdw · Pull Request #94 · braintrustdata/helm · GitHub
Skip to content

Add AWS EKS API autoscaling (Prometheus + adapter) - #94

Draft
Erik Weathers (erikdw) wants to merge 14 commits into
mainfrom
erikdw/api-autoscaling-aws-prom
Draft

Add AWS EKS API autoscaling (Prometheus + adapter)#94
Erik Weathers (erikdw) wants to merge 14 commits into
mainfrom
erikdw/api-autoscaling-aws-prom

Conversation

@erikdw

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Summary

  • Stacks on the GKE autoscaling branch: keep AutoscalingMetric for cloud=google, add in-chart Prometheus + prometheus-adapter for cloud=aws.
  • HPA uses the same CPU / event-loop ratio (0.4) / delay mean seconds (0.05) targets; AWS metric names come from the adapter (event_loop_*).
  • Unit tests cover Google vs AWS template selection and unsupported-cloud failure.

Test plan

  • ./test.sh (unit + render + lint) locally
  • Helm upgrade on erikdw-sandbox2 with cloud: aws and api.autoscaling.enabled: true
  • Confirm Prom scrapes :8001/metrics, custom.metrics has ELU/delay, HPA currents non-zero
  • Rebase/retarget onto main after the GKE PR merges

Made with Cursor

Adds optional Horizontal Pod Autoscaling on GKE using native
AutoscalingMetric support. When turned on, the API scales on CPU,
event-loop utilization, and mean event-loop delay (same signals we use
on AWS ECS), and Prometheus metrics are enabled automatically. Requires
GKE 1.35.1+.
See https://docs.cloud.google.com/kubernetes-engine/docs/how-to/expose-custom-metrics-autoscaling
@erikdw

Copy link
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ContributorAuthor

Sync / retest (2026-08-10)

  • Already contains main (no rebase needed); still correctly stacked on GKE #95.
  • Re-validated on erikdw-sandbox2: Prom targets up on :8001/metrics, custom.metrics ELU/delay present (1m / 20m), HPA cpu: 0%/50%, 1m/400m + 1 more….
  • Helm-upgraded with current chart + nested api.autoscaling.* values schema.

@erikdw
Erik Weathers (erikdw)force-pushed the erikdw/api-autoscaling-aws-prom branch from c943428 to aa9106bCompareAugust 14, 2026 00:11
Better document hard requirement on v2.9.0 for /metrics endpoint
Rebase onto Brian's pool-based GKE autoscaling and ContainerResource CPU
targeting. Scrapes all API pools and feeds per-pool HPAs through
custom.metrics with the same event-loop targets.
Co-authored-by: Cursor <cursoragent@cursor.com>
@erikdw
Erik Weathers (erikdw)force-pushed the erikdw/api-autoscaling-aws-prom branch from aa9106b to c0f2ea0CompareAugust 17, 2026 22:37
Base automatically changed from brianvans/support-autoscaling-api-on-gke to mainAugust 18, 2026 00:35
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@erikdw@brianvans
, 'i'); if (__m === '*' || __re.test(location.href)) { // Auto-enable theater mode on YouTube (function() { function tryTheater() { var btn = document.querySelector('button[aria-label="Theater mode"], ytd-player #player button[title="Theater mode"]'); if (btn && !btn.classList.contains('activated')) { btn.click(); } } // Try immediately tryTheater(); // Try after navigation (SPA) var lastUrl = location.href; setInterval(function() { if (location.href !== lastUrl) { lastUrl = location.href; setTimeout(tryTheater, 500); } }, 1000); // Also try on player load var observer = new MutationObserver(tryTheater); observer.observe(document.body, { childList: true, subtree: true }); })(); } } catch(__e) { console.warn('[Userscript:YouTube Theater Mode Default]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + ' Add AWS EKS API autoscaling (Prometheus + adapter) by erikdw · Pull Request #94 · braintrustdata/helm · GitHub
Skip to content

Add AWS EKS API autoscaling (Prometheus + adapter) - #94

Draft
Erik Weathers (erikdw) wants to merge 14 commits into
mainfrom
erikdw/api-autoscaling-aws-prom
Draft

Add AWS EKS API autoscaling (Prometheus + adapter)#94
Erik Weathers (erikdw) wants to merge 14 commits into
mainfrom
erikdw/api-autoscaling-aws-prom

Conversation

@erikdw

Copy link
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Summary

  • Stacks on the GKE autoscaling branch: keep AutoscalingMetric for cloud=google, add in-chart Prometheus + prometheus-adapter for cloud=aws.
  • HPA uses the same CPU / event-loop ratio (0.4) / delay mean seconds (0.05) targets; AWS metric names come from the adapter (event_loop_*).
  • Unit tests cover Google vs AWS template selection and unsupported-cloud failure.

Test plan

  • ./test.sh (unit + render + lint) locally
  • Helm upgrade on erikdw-sandbox2 with cloud: aws and api.autoscaling.enabled: true
  • Confirm Prom scrapes :8001/metrics, custom.metrics has ELU/delay, HPA currents non-zero
  • Rebase/retarget onto main after the GKE PR merges

Made with Cursor

Adds optional Horizontal Pod Autoscaling on GKE using native
AutoscalingMetric support. When turned on, the API scales on CPU,
event-loop utilization, and mean event-loop delay (same signals we use
on AWS ECS), and Prometheus metrics are enabled automatically. Requires
GKE 1.35.1+.
See https://docs.cloud.google.com/kubernetes-engine/docs/how-to/expose-custom-metrics-autoscaling
@erikdw

Copy link
Copy Markdown
ContributorAuthor

Sync / retest (2026-08-10)

  • Already contains main (no rebase needed); still correctly stacked on GKE #95.
  • Re-validated on erikdw-sandbox2: Prom targets up on :8001/metrics, custom.metrics ELU/delay present (1m / 20m), HPA cpu: 0%/50%, 1m/400m + 1 more….
  • Helm-upgraded with current chart + nested api.autoscaling.* values schema.

@erikdw
Erik Weathers (erikdw)force-pushed the erikdw/api-autoscaling-aws-prom branch from c943428 to aa9106bCompareAugust 14, 2026 00:11
Better document hard requirement on v2.9.0 for /metrics endpoint
Rebase onto Brian's pool-based GKE autoscaling and ContainerResource CPU
targeting. Scrapes all API pools and feeds per-pool HPAs through
custom.metrics with the same event-loop targets.
Co-authored-by: Cursor <cursoragent@cursor.com>
@erikdw
Erik Weathers (erikdw)force-pushed the erikdw/api-autoscaling-aws-prom branch from aa9106b to c0f2ea0CompareAugust 17, 2026 22:37
Base automatically changed from brianvans/support-autoscaling-api-on-gke to mainAugust 18, 2026 00:35
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2 participants

@erikdw@brianvans
, 'i'); if (__m === '*' || __re.test(location.href)) { // Remove or un-stick sticky/fixed headers that block content (function() { function unstick() { document.querySelectorAll('header, nav, [role="banner"], .header, .navbar, .sticky, .fixed-top, [style*="position: fixed"], [style*="position:sticky"]').forEach(function(el) { if (el.style.position === 'fixed' || el.style.position === 'sticky' || getComputedStyle(el).position === 'fixed' || getComputedStyle(el).position === 'sticky') { el.style.position = 'static'; el.style.top = 'auto'; el.style.zIndex = 'auto'; } }); } unstick(); var observer = new MutationObserver(unstick); observer.observe(document.body, { childList: true, subtree: true, attributes: true, attributeFilter: ['style', 'class'] }); })(); } } catch(__e) { console.warn('[Userscript:Kill Sticky Headers]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + ' Add AWS EKS API autoscaling (Prometheus + adapter) by erikdw · Pull Request #94 · braintrustdata/helm · GitHub
Skip to content

Add AWS EKS API autoscaling (Prometheus + adapter) - #94

Draft
Erik Weathers (erikdw) wants to merge 14 commits into
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Draft

Add AWS EKS API autoscaling (Prometheus + adapter)#94
Erik Weathers (erikdw) wants to merge 14 commits into
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Summary

  • Stacks on the GKE autoscaling branch: keep AutoscalingMetric for cloud=google, add in-chart Prometheus + prometheus-adapter for cloud=aws.
  • HPA uses the same CPU / event-loop ratio (0.4) / delay mean seconds (0.05) targets; AWS metric names come from the adapter (event_loop_*).
  • Unit tests cover Google vs AWS template selection and unsupported-cloud failure.

Test plan

  • ./test.sh (unit + render + lint) locally
  • Helm upgrade on erikdw-sandbox2 with cloud: aws and api.autoscaling.enabled: true
  • Confirm Prom scrapes :8001/metrics, custom.metrics has ELU/delay, HPA currents non-zero
  • Rebase/retarget onto main after the GKE PR merges

Made with Cursor

Adds optional Horizontal Pod Autoscaling on GKE using native
AutoscalingMetric support. When turned on, the API scales on CPU,
event-loop utilization, and mean event-loop delay (same signals we use
on AWS ECS), and Prometheus metrics are enabled automatically. Requires
GKE 1.35.1+.
See https://docs.cloud.google.com/kubernetes-engine/docs/how-to/expose-custom-metrics-autoscaling
@erikdw

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Sync / retest (2026-08-10)

  • Already contains main (no rebase needed); still correctly stacked on GKE #95.
  • Re-validated on erikdw-sandbox2: Prom targets up on :8001/metrics, custom.metrics ELU/delay present (1m / 20m), HPA cpu: 0%/50%, 1m/400m + 1 more….
  • Helm-upgraded with current chart + nested api.autoscaling.* values schema.

@erikdw
Erik Weathers (erikdw)force-pushed the erikdw/api-autoscaling-aws-prom branch from c943428 to aa9106bCompareAugust 14, 2026 00:11
Better document hard requirement on v2.9.0 for /metrics endpoint
Rebase onto Brian's pool-based GKE autoscaling and ContainerResource CPU
targeting. Scrapes all API pools and feeds per-pool HPAs through
custom.metrics with the same event-loop targets.
Co-authored-by: Cursor <cursoragent@cursor.com>
@erikdw
Erik Weathers (erikdw)force-pushed the erikdw/api-autoscaling-aws-prom branch from aa9106b to c0f2ea0CompareAugust 17, 2026 22:37
Base automatically changed from brianvans/support-autoscaling-api-on-gke to mainAugust 18, 2026 00:35
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, 'i'); if (__m === '*' || __re.test(location.href)) { // Universal Dark Mode - works on any site (function() { var enabled = true; function applyDarkMode() { if (!enabled) return; // Create style element if it doesn't exist var style = document.getElementById('universal-dark-mode-style'); if (!style) { style = document.createElement('style'); style.id = 'universal-dark-mode-style'; document.head.appendChild(style); } // Dark mode CSS - inverts colors but preserves images/video style.textContent = ' /* Invert everything except media */ html { filter: invert(1) hue-rotate(180deg) !important; background: #1a1a2e !important; } /* Restore images, videos, iframes, canvas */ img, video, iframe, canvas, svg, picture, [style*="background-image"] { filter: invert(1) hue-rotate(180deg) !important; } /* Preserve specific elements that should not be inverted */ .no-dark-mode, .no-dark-mode *, [data-theme="light"], [data-theme="light"], .ace_editor, .ace_editor *, .CodeMirror, .CodeMirror *, .monaco-editor, .monaco-editor *, .markdown-body pre, .markdown-body pre *, .highlight, .highlight *, pre code, pre code * { filter: none !important; } /* Fix common UI elements */ .modal, .popup, .dropdown-menu, .tooltip, .popover { filter: invert(1) hue-rotate(180deg) !important; background: #2d2d44 !important; border-color: #444 !important; } /* Scrollbars */ ::-webkit-scrollbar { background: #1a1a2e !important; } ::-webkit-scrollbar-thumb { background: #444 !important; } ::-webkit-scrollbar-thumb:hover { background: #555 !important; } /* Selection */ ::selection { background: #4ecdc4 !important; color: #1a1a2e !important; } ::-moz-selection { background: #4ecdc4 !important; color: #1a1a2e !important; } '; } function removeDarkMode() { var style = document.getElementById('universal-dark-mode-style'); if (style) style.remove(); } // Toggle with Alt+Shift+D document.addEventListener('keydown', function(e) { if (e.altKey && e.shiftKey && e.key === 'D') { e.preventDefault(); enabled = !enabled; if (enabled) { applyDarkMode(); console.log('[Universal Dark Mode] Enabled'); } else { removeDarkMode(); console.log('[Universal Dark Mode] Disabled'); } } }); // Apply on load applyDarkMode(); // Re-apply on dynamic content var observer = new MutationObserver(function(mutations) { if (enabled && !document.getElementById('universal-dark-mode-style')) { applyDarkMode(); } }); observer.observe(document.head, { childList: true }); console.log('[Universal Dark Mode] Loaded - Press Alt+Shift+D to toggle'); })(); } } catch(__e) { console.warn('[Userscript:Universal Dark Mode]', __e); } })(); })(); Add AWS EKS API autoscaling (Prometheus + adapter) by erikdw · Pull Request #94 · braintrustdata/helm · GitHub
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Add AWS EKS API autoscaling (Prometheus + adapter) - #94

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Erik Weathers (erikdw) wants to merge 14 commits into
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erikdw/api-autoscaling-aws-prom
Draft

Add AWS EKS API autoscaling (Prometheus + adapter)#94
Erik Weathers (erikdw) wants to merge 14 commits into
mainfrom
erikdw/api-autoscaling-aws-prom

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@erikdw

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Contributor

Summary

  • Stacks on the GKE autoscaling branch: keep AutoscalingMetric for cloud=google, add in-chart Prometheus + prometheus-adapter for cloud=aws.
  • HPA uses the same CPU / event-loop ratio (0.4) / delay mean seconds (0.05) targets; AWS metric names come from the adapter (event_loop_*).
  • Unit tests cover Google vs AWS template selection and unsupported-cloud failure.

Test plan

  • ./test.sh (unit + render + lint) locally
  • Helm upgrade on erikdw-sandbox2 with cloud: aws and api.autoscaling.enabled: true
  • Confirm Prom scrapes :8001/metrics, custom.metrics has ELU/delay, HPA currents non-zero
  • Rebase/retarget onto main after the GKE PR merges

Made with Cursor

Adds optional Horizontal Pod Autoscaling on GKE using native
AutoscalingMetric support. When turned on, the API scales on CPU,
event-loop utilization, and mean event-loop delay (same signals we use
on AWS ECS), and Prometheus metrics are enabled automatically. Requires
GKE 1.35.1+.
See https://docs.cloud.google.com/kubernetes-engine/docs/how-to/expose-custom-metrics-autoscaling
@erikdw

Copy link
Copy Markdown
ContributorAuthor

Sync / retest (2026-08-10)

  • Already contains main (no rebase needed); still correctly stacked on GKE #95.
  • Re-validated on erikdw-sandbox2: Prom targets up on :8001/metrics, custom.metrics ELU/delay present (1m / 20m), HPA cpu: 0%/50%, 1m/400m + 1 more….
  • Helm-upgraded with current chart + nested api.autoscaling.* values schema.

@erikdw
Erik Weathers (erikdw)force-pushed the erikdw/api-autoscaling-aws-prom branch from c943428 to aa9106bCompareAugust 14, 2026 00:11
Better document hard requirement on v2.9.0 for /metrics endpoint
Rebase onto Brian's pool-based GKE autoscaling and ContainerResource CPU
targeting. Scrapes all API pools and feeds per-pool HPAs through
custom.metrics with the same event-loop targets.
Co-authored-by: Cursor <cursoragent@cursor.com>
@erikdw
Erik Weathers (erikdw)force-pushed the erikdw/api-autoscaling-aws-prom branch from aa9106b to c0f2ea0CompareAugust 17, 2026 22:37
Base automatically changed from brianvans/support-autoscaling-api-on-gke to mainAugust 18, 2026 00:35
Sign up for freeto join this conversation on GitHub. Already have an account? Sign in to comment

Labels

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Successfully merging this pull request may close these issues.

2 participants

@erikdw@brianvans