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Instead of `m5n.8xlarge`, use `m5.xlarge`. Rational: - Closer to real-world libp2p deployments (e.g. < 25 Gibps) - Cheaper (~2 USD vs ~0.2 USD) m5n.8xlarge: - 32 vCPUs - 128.0 GiB of memory - 25 Gibps of bandwidth - 2019 m5.xlarge - 4 vCPUs - 16.0 GiB of memory - up to 10 Gibps of bandwidth |
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terraform.tf |