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SUMMARY:From Static Rules to Reasoning Platforms: Scaling Intelligent Cana
 ry Delivery in 2026 - Daniel Oh
DTSTART;TZID=America/Lima:20260827T143000
DTEND;TZID=America/Lima:20260827T145500
DTSTAMP:20260906T120835Z
UID:pretalx-devopsdays-lima-2026-BTY83E@talks.devopsdays.org
DESCRIPTION:As organizations scale their Kubernetes environments\, the Day
 -2 reality of GitOps exposes a major limitation: static thresholds. Tradit
 ional canary deployments rely on fixed PromQL checks like “Error Rate < 
 1%.” While simple\, these rules lack context to distinguish transient no
 ise from real failures. In distributed systems\, brief latency spikes\, de
 pendency hiccups\, or traffic shifts can trigger false alerts\, pausing ro
 llouts and forcing manual approvals. This leads to alert fatigue and slowe
 r delivery pipelines.\n\nA shift is emerging—from static automation to r
 easoning platforms. Instead of rigid thresholds\, modern delivery systems 
 analyze multiple signals together. By augmenting ArgoCD Rollouts with an a
 gentic reasoning layer\, deployments can evaluate metrics\, logs\, and tra
 ces to make smarter Go/No-Go decisions—reducing false positives and enab
 ling more reliable progressive delivery.
LOCATION:Manchay
URL:https://talks.devopsdays.org/devopsdays-lima-2026/talk/BTY83E/
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