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Update fly.toml #117

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35 changes: 26 additions & 9 deletions examples/fly.io/fly.toml
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Original file line number Diff line number Diff line change
@@ -1,41 +1,58 @@
# fly.toml app configuration file generated for test-metis-binary on 2023-12-04T14:14:21+08:00
#
# fly.toml app configuration file for Solana Metis Binary service.
# Generated on 2023-12-04T14:14:21+08:00

# See https://fly.io/docs/reference/configuration/ for information about how to use this file.
#

app = "<APP_NAME>"
primary_region = "sin"
app = "test-metis-binary" # Use the actual application name here
primary_region = "sin" # Singapore region (default deployment)

[build]
# The Docker image to use for the build/deployment.
image = "ghcr.io/jup-ag/metis-binary:latest"

[deploy]
# Use the blue/green deployment strategy for zero downtime updates.
strategy = "bluegreen"

[env]
# Define environment variables. Sensitive data (RPC_URL, tokens) should be set via 'fly secrets'.
PORT = "8080"
RPC_URL = "<RPC_URL>"
# YELLOWSTONE_GRPC_ENDPOINT = "" # Optional
# YELLOWSTONE_GRPC_X_TOKEN = "" # Optional
# RPC_URL must be set via 'fly secrets set RPC_URL=...'
# RPC_URL = "<RPC_URL>"

# Optional environment variables for external service integration (e.g., Yellowstone gRPC)
# YELLOWSTONE_GRPC_ENDPOINT = ""
# YELLOWSTONE_GRPC_X_TOKEN = ""

[http_service]
# The internal port the application listens on.
internal_port = 8080
# Automatically scale down to zero machines if idle (set to "off" to maintain minimum running).
auto_stop_machines = "off"
# Automatically scale up to the minimum running machines when traffic arrives.
auto_start_machines = true
# Maintain at least one machine running to minimize cold starts.
min_machines_running = 1

[http_service.concurrency]
# Concurrency type is based on incoming requests.
type = "requests"
# Maximum concurrent requests per machine before queuing or scaling.
hard_limit = 30
# Soft limit for concurrent requests before Fly starts considering scaling out.
soft_limit = 10

[[http_service.checks]]
# Health check configuration for the service.
interval = "30s"
timeout = "5s"
grace_period = "20s"
method = "GET"
# Path to the application's health/status endpoint.
path = "/program-id-to-label"

[[vm]]
# Allocation of high-performance resources (dedicated CPUs).
cpu_kind = "performance"
cpus = 8
memory_mb = 16384
memory_mb = 16384 # 16GB of RAM