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https://github.com/kennethreitz/kjvstudy.org.git
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kennethreitz
2ab3dfa142
Pre-render ~1,277 high-traffic HTML pages (homepage, books, chapters) at build time and serve them directly via nginx. All other routes (verses, search, API, PDFs, Strong's) fall through to a FastAPI sidecar. If the sidecar crashes, nginx continues serving static pages and health checks. Also harden the FastAPI app against the memory/crash issues: - Switch from bare uvicorn to gunicorn with uvicorn workers - Add --max-requests worker recycling to prevent memory leaks - Add --timeout to kill hung workers - Add per-IP rate limiting middleware (10 req/s, burst of 50) - Add request timeout middleware (30s max per request) Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
51 lines
949 B
TOML
51 lines
949 B
TOML
# fly.toml app configuration file generated for kjvstudy on 2025-05-26T12:55:54-04:00
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#
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# See https://fly.io/docs/reference/configuration/ for information about how to use this file.
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#
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app = 'kjvstudy'
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primary_region = 'iad'
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[deploy]
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strategy = "bluegreen"
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[build]
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dockerfile = "Dockerfile.static"
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[http_service]
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internal_port = 8000
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force_https = true
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auto_stop_machines = 'suspend'
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auto_start_machines = true
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min_machines_running = 0
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processes = ['app']
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[http_service.concurrency]
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type = "requests"
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hard_limit = 250
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soft_limit = 200
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# Health check endpoint
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[[http_service.checks]]
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interval = "15s"
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timeout = "10s"
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grace_period = "30s"
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method = "GET"
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path = "/health"
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[[vm]]
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memory = '2gb'
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cpu_kind = 'shared'
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cpus = 2
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[env]
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# Production optimizations
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PYTHONUNBUFFERED = "1"
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PYTHONDONTWRITEBYTECODE = "1"
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# Lazy-load interlinear data to reduce memory usage
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PRELOAD_INTERLINEAR = "false"
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# Sidecar workers (gunicorn)
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SIDECAR_WORKERS = "1"
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