--- title: Taming P99s in OpenFGA: How We Built a Self-Tuning... description: OpenFGA reduced P99 tail latency by up to 98% using a self-tuning strategy planner based on Thompson Sampling. The system treats graph traversal as a... canonical: https://daily.dev/posts/taming-p99s-in-openfga-how-we-built-a-self-tuning-strategy-planner-y3y8axkpc twitter:card: summary_large_image twitter:site: @dailydotdev og:type: website og:site_name: daily.dev og:title: Taming P99s in OpenFGA: How We Built a Self-Tuning Strategy Planner | daily.dev og:description: OpenFGA reduced P99 tail latency by up to 98% using a self-tuning strategy planner based on Thompson Sampling. The system treats graph traversal as a... og:url: https://daily.dev/posts/taming-p99s-in-openfga-how-we-built-a-self-tuning-strategy-planner-y3y8axkpc og:image: https://api.daily.dev/og/posts/y3Y8aXKpC.png og:image:alt: Taming P99s in OpenFGA: How We Built a Self-Tuning Strategy Planner og:image:width: 1200 og:image:height: 630 og:locale: en --- > ## Documentation Index > Fetch the complete documentation index at: https://daily.dev/llms.txt > Use this file to discover all available pages before exploring further. # Taming P99s in OpenFGA: How We Built a Self-Tuning Strategy Planner **[Auth0](https://daily.dev/sources/auth0)** · 12 min read · 2 upvotes · 0 comments ## Summary OpenFGA reduced P99 tail latency by up to 98% using a self-tuning strategy planner based on Thompson Sampling. The system treats graph traversal as a multi-armed bandit problem, maintaining probability distributions for each traversal strategy and continuously learning from production latency. By encoding domain knowledge through carefully tuned Normal-Gamma priors, the planner balances exploration and exploitation, automatically adapting to changing data distributions. The solution uses lock-free atomic operations for concurrency and proved more robust than static heuristics in multi-tenant production environments. ## Full article daily.dev links to this article rather than hosting it. Read it at the original source: ## Similar posts on daily.dev - [Learning robust controllers that work across many partially observable environments](https://daily.dev/posts/learning-robust-controllers-that-work-across-many-partially-observable-environments-mx1roojrj) · Robohub · 0 upvotes · 0 comments - [Scaling long-running autonomous coding](https://daily.dev/posts/scaling-long-running-autonomous-coding-j1ucc2ohl) · Cursor · 1 upvotes · 0 comments - [How Production LLMs Reason Better At Inference Time](https://daily.dev/posts/how-production-llms-reason-better-at-inference-time-weygdosue) · Daily Dose of Data Science \| Avi Chawla \| Substack · 1 upvotes · 0 comments --- Tags: [#machine-learning](https://daily.dev/tags/machine-learning), [#performance](https://daily.dev/tags/performance), [#authorization](https://daily.dev/tags/authorization) [View this post on daily.dev](https://daily.dev/posts/taming-p99s-in-openfga-how-we-built-a-self-tuning-strategy-planner-y3y8axkpc) ```json {"@context":"https://schema.org","@graph":[{"@type":"Organization","@id":"https://daily.dev/#organization","name":"daily.dev","url":"https://daily.dev","logo":{"@type":"ImageObject","url":"https://daily.dev/apple-touch-icon.png","width":180,"height":180},"sameAs":["https://twitter.com/dailydotdev","https://github.com/dailydotdev","https://www.linkedin.com/company/daily-dev-ltd"]},{"@type":"WebSite","@id":"https://daily.dev/#website","url":"https://daily.dev","name":"daily.dev","publisher":{"@id":"https://daily.dev/#organization"},"potentialAction":{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https://daily.dev/search?q={search_term_string}"},"query-input":"required name=search_term_string"}}]} {"@context":"https://schema.org","@type":"TechArticle","headline":"Taming P99s in OpenFGA: How We Built a Self-Tuning Strategy Planner","url":"https://daily.dev/posts/taming-p99s-in-openfga-how-we-built-a-self-tuning-strategy-planner-y3y8axkpc","mainEntityOfPage":{"@type":"WebPage","@id":"https://daily.dev/posts/taming-p99s-in-openfga-how-we-built-a-self-tuning-strategy-planner-y3y8axkpc"},"datePublished":"2026-01-09T15:26:54.838Z","dateModified":"2026-01-09T15:27:19.322Z","description":"OpenFGA reduced P99 tail latency by up to 98% using a self-tuning strategy planner based on Thompson Sampling. 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