mirror of
https://github.com/kennethreitz/kjvstudy.org.git
synced 2026-06-05 23:00:16 +00:00
kennethreitz
5a223a90d4
Changed Fly.io configuration to maintain one active machine: - min_machines_running: 0 → 1 - auto_stop_machines: 'stop' → 'suspend' This eliminates cold start delays by keeping the application warm and ready to serve requests immediately. The machine will suspend (not stop) when idle, allowing much faster wake-up times. With PRELOAD_INTERLINEAR enabled, the 14MB interlinear data stays loaded in memory, making all requests fast without repeated decompression. Trade-off: Slightly higher costs for always-on machine, but much better user experience with instant page loads. 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com>
44 lines
840 B
TOML
44 lines
840 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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[build]
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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 = 1
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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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# Preload interlinear data on startup for fast first requests
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PRELOAD_INTERLINEAR = "true"
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