open-nomad/client/fingerprint/env_aws.go

616 lines
24 KiB
Go

package fingerprint
import (
"fmt"
"net/http"
"net/url"
"os"
"regexp"
"strings"
"time"
"github.com/aws/aws-sdk-go/aws"
"github.com/aws/aws-sdk-go/aws/awserr"
"github.com/aws/aws-sdk-go/aws/ec2metadata"
"github.com/aws/aws-sdk-go/aws/session"
log "github.com/hashicorp/go-hclog"
cleanhttp "github.com/hashicorp/go-cleanhttp"
"github.com/hashicorp/nomad/nomad/structs"
)
const (
// AwsMetadataTimeout is the timeout used when contacting the AWS metadata
// services.
AwsMetadataTimeout = 2 * time.Second
)
// map of instance type to approximate speed, in Mbits/s
// Estimates from http://stackoverflow.com/a/35806587
// This data is meant for a loose approximation
var ec2NetSpeedTable = map[*regexp.Regexp]int{
regexp.MustCompile("t2.nano"): 30,
regexp.MustCompile("t2.micro"): 70,
regexp.MustCompile("t2.small"): 125,
regexp.MustCompile("t2.medium"): 300,
regexp.MustCompile("m3.medium"): 400,
regexp.MustCompile("c4.8xlarge"): 4000,
regexp.MustCompile("x1.16xlarge"): 5000,
regexp.MustCompile(`.*\.large`): 500,
regexp.MustCompile(`.*\.xlarge`): 750,
regexp.MustCompile(`.*\.2xlarge`): 1000,
regexp.MustCompile(`.*\.4xlarge`): 2000,
regexp.MustCompile(`.*\.8xlarge`): 10000,
regexp.MustCompile(`.*\.10xlarge`): 10000,
regexp.MustCompile(`.*\.16xlarge`): 10000,
regexp.MustCompile(`.*\.32xlarge`): 10000,
}
type ec2Specs struct {
mhz float64
cores int
model string
}
func (e ec2Specs) ticks() int {
return int(e.mhz) * e.cores
}
func specs(ghz float64, vCores int, model string) ec2Specs {
return ec2Specs{
mhz: ghz * 1000,
cores: vCores,
model: model,
}
}
// Map of instance type to documented CPU speed.
//
// Most values are taken from https://aws.amazon.com/ec2/instance-types/.
// Values for a1 & m6g (Graviton) are taken from https://en.wikichip.org/wiki/annapurna_labs/alpine/al73400
// Values for inf1 are taken from launching a inf1.xlarge and looking at /proc/cpuinfo
//
// In a few cases, AWS has upgraded the generation of CPU while keeping the same
// instance designation. Since it is possible to launch on the lower performance
// CPU, that one is used as the spec for the instance type.
//
// This table is provided as a best-effort to determine the number of CPU ticks
// available for use by Nomad tasks. If an instance type is missing, the fallback
// behavior is to use values from go-psutil, which is only capable of reading
// "current" CPU MHz.
var ec2ProcSpeedTable = map[string]ec2Specs{
// -- General Purpose --
// a1
"a1.medium": specs(2.3, 1, "AWS Graviton"),
"a1.large": specs(2.3, 2, "AWS Graviton"),
"a1.xlarge": specs(2.3, 4, "AWS Graviton"),
"a1.2xlarge": specs(2.3, 8, "AWS Graviton"),
"a1.4xlarge": specs(2.3, 16, "AWS Graviton"),
"a1.metal": specs(2.3, 16, "AWS Graviton"),
// t3
"t3.nano": specs(2.5, 2, "2.5 GHz Intel Scalable"),
"t3.micro": specs(2.5, 2, "2.5 GHz Intel Scalable"),
"t3.small": specs(2.5, 2, "2.5 GHz Intel Scalable"),
"t3.medium": specs(2.5, 2, "2.5 GHz Intel Scalable"),
"t3.large": specs(2.5, 2, "2.5 GHz Intel Scalable"),
"t3.xlarge": specs(2.5, 4, "2.5 GHz Intel Scalable"),
"t3.2xlarge": specs(2.5, 8, "2.5 GHz Intel Scalable"),
// t3a
"t3a.nano": specs(2.5, 2, "2.5 GHz AMD EPYC 7000 series"),
"t3a.micro": specs(2.5, 2, "2.5 GHz AMD EPYC 7000 series"),
"t3a.small": specs(2.5, 2, "2.5 GHz AMD EPYC 7000 series"),
"t3a.medium": specs(2.5, 2, "2.5 GHz AMD EPYC 7000 series"),
"t3a.large": specs(2.5, 2, "2.5 GHz AMD EPYC 7000 series"),
"t3a.xlarge": specs(2.5, 4, "2.5 GHz AMD EPYC 7000 series"),
"t3a.2xlarge": specs(2.5, 8, "2.5 GHz AMD EPYC 7000 series"),
// t2
"t2.nano": specs(3.3, 1, "3.3 GHz Intel Scalable"),
"t2.micro": specs(3.3, 1, "3.3 GHz Intel Scalable"),
"t2.small": specs(3.3, 1, "3.3 GHz Intel Scalable"),
"t2.medium": specs(3.3, 2, "3.3 GHz Intel Scalable"),
"t2.large": specs(3.0, 2, "3.0 GHz Intel Scalable"),
"t2.xlarge": specs(3.0, 4, "3.0 GHz Intel Scalable"),
"t2.2xlarge": specs(3.0, 8, "3.0 GHz Intel Scalable"),
// m6g
"m6g.medium": specs(2.3, 1, "AWS Graviton2 Neoverse"),
"m6g.large": specs(2.3, 2, "AWS Graviton2 Neoverse"),
"m6g.xlarge": specs(2.3, 4, "AWS Graviton2 Neoverse"),
"m6g.2xlarge": specs(2.3, 8, "AWS Graviton2 Neoverse"),
"m6g.4xlarge": specs(2.3, 16, "AWS Graviton2 Neoverse"),
"m6g.8xlarge": specs(2.3, 32, "AWS Graviton2 Neoverse"),
"m6g.12xlarge": specs(2.3, 48, "AWS Graviton2 Neoverse"),
"m6g.16xlarge": specs(2.3, 64, "AWS Graviton2 Neoverse"),
// m5, m5d
"m5.large": specs(3.1, 2, "3.1 GHz Intel Xeon Platinum"),
"m5.xlarge": specs(3.1, 4, "3.1 GHz Intel Xeon Platinum"),
"m5.2xlarge": specs(3.1, 8, "3.1 GHz Intel Xeon Platinum"),
"m5.4xlarge": specs(3.1, 16, "3.1 GHz Intel Xeon Platinum"),
"m5.8xlarge": specs(3.1, 32, "3.1 GHz Intel Xeon Platinum"),
"m5.12xlarge": specs(3.1, 48, "3.1 GHz Intel Xeon Platinum"),
"m5.16xlarge": specs(3.1, 64, "3.1 GHz Intel Xeon Platinum"),
"m5.24xlarge": specs(3.1, 96, "3.1 GHz Intel Xeon Platinum"),
"m5.metal": specs(3.1, 96, "3.1 GHz Intel Xeon Platinum"),
"m5d.large": specs(3.1, 2, "3.1 GHz Intel Xeon Platinum"),
"m5d.xlarge": specs(3.1, 4, "3.1 GHz Intel Xeon Platinum"),
"m5d.2xlarge": specs(3.1, 8, "3.1 GHz Intel Xeon Platinum"),
"m5d.4xlarge": specs(3.1, 16, "3.1 GHz Intel Xeon Platinum"),
"m5d.8xlarge": specs(3.1, 32, "3.1 GHz Intel Xeon Platinum"),
"m5d.12xlarge": specs(3.1, 48, "3.1 GHz Intel Xeon Platinum"),
"m5d.16xlarge": specs(3.1, 64, "3.1 GHz Intel Xeon Platinum"),
"m5d.24xlarge": specs(3.1, 96, "3.1 GHz Intel Xeon Platinum"),
"m5d.metal": specs(3.1, 96, "3.1 GHz Intel Xeon Platinum"),
// m5a, m5ad
"m5a.large": specs(2.5, 2, "2.5 GHz AMD EPYC 7000 series"),
"m5a.xlarge": specs(2.5, 4, "2.5 GHz AMD EPYC 7000 series"),
"m5a.2xlarge": specs(2.5, 8, "2.5 GHz AMD EPYC 7000 series"),
"m5a.4xlarge": specs(2.5, 16, "2.5 GHz AMD EPYC 7000 series"),
"m5a.8xlarge": specs(2.5, 32, "2.5 GHz AMD EPYC 7000 series"),
"m5a.12xlarge": specs(2.5, 48, "2.5 GHz AMD EPYC 7000 series"),
"m5a.16xlarge": specs(2.5, 64, "2.5 GHz AMD EPYC 7000 series"),
"m5a.24xlarge": specs(2.5, 96, "2.5 GHz AMD EPYC 7000 series"),
"m5ad.large": specs(2.5, 2, "2.5 GHz AMD EPYC 7000 series"),
"m5ad.xlarge": specs(2.5, 4, "2.5 GHz AMD EPYC 7000 series"),
"m5ad.2xlarge": specs(2.5, 8, "2.5 GHz AMD EPYC 7000 series"),
"m5ad.4xlarge": specs(2.5, 16, "2.5 GHz AMD EPYC 7000 series"),
"m5ad.12xlarge": specs(2.5, 48, "2.5 GHz AMD EPYC 7000 series"),
"m5ad.24xlarge": specs(2.5, 96, "2.5 GHz AMD EPYC 7000 series"),
// m5n, m5dn
"m5n.large": specs(3.1, 2, "3.1 GHz Intel Xeon Scalable"),
"m5n.xlarge": specs(3.1, 4, "3.1 GHz Intel Xeon Scalable"),
"m5n.2xlarge": specs(3.1, 8, "3.1 GHz Intel Xeon Scalable"),
"m5n.4xlarge": specs(3.1, 16, "3.1 GHz Intel Xeon Scalable"),
"m5n.8xlarge": specs(3.1, 32, "3.1 GHz Intel Xeon Scalable"),
"m5n.12xlarge": specs(3.1, 48, "3.1 GHz Intel Xeon Scalable"),
"m5n.16xlarge": specs(3.1, 64, "3.1 GHz Intel Xeon Scalable"),
"m5n.24xlarge": specs(3.1, 96, "3.1 GHz Intel Xeon Scalable"),
"m5dn.large": specs(3.1, 2, "3.1 GHz Intel Xeon Scalable"),
"m5dn.xlarge": specs(3.1, 4, "3.1 GHz Intel Xeon Scalable"),
"m5dn.2xlarge": specs(3.1, 8, "3.1 GHz Intel Xeon Scalable"),
"m5dn.4xlarge": specs(3.1, 16, "3.1 GHz Intel Xeon Scalable"),
"m5dn.8xlarge": specs(3.1, 32, "3.1 GHz Intel Xeon Scalable"),
"m5dn.12xlarge": specs(3.1, 48, "3.1 GHz Intel Xeon Scalable"),
"m5dn.16xlarge": specs(3.1, 64, "3.1 GHz Intel Xeon Scalable"),
"m5dn.24xlarge": specs(3.1, 96, "3.1 GHz Intel Xeon Scalable"),
// m4
"m4.large": specs(2.3, 2, "2.3 GHz Intel Xeon® E5-2686 v4"),
"m4.xlarge": specs(2.3, 4, "2.3 GHz Intel Xeon® E5-2686 v4"),
"m4.2xlarge": specs(2.3, 8, "2.3 GHz Intel Xeon® E5-2686 v4"),
"m4.4xlarge": specs(2.3, 16, "2.3 GHz Intel Xeon® E5-2686 v4"),
"m4.10xlarge": specs(2.3, 40, "2.3 GHz Intel Xeon® E5-2686 v4"),
"m4.16xlarge": specs(2.3, 64, "2.3 GHz Intel Xeon® E5-2686 v4"),
// -- Compute Optimized --
// c5, c5d
"c5.large": specs(3.4, 2, "3.4 GHz Intel Xeon Platinum 8000"),
"c5.xlarge": specs(3.4, 4, "3.4 GHz Intel Xeon Platinum 8000"),
"c5.2xlarge": specs(3.4, 8, "3.4 GHz Intel Xeon Platinum 8000"),
"c5.4xlarge": specs(3.4, 16, "3.4 GHz Intel Xeon Platinum 8000"),
"c5.9xlarge": specs(3.4, 36, "3.4 GHz Intel Xeon Platinum 8000"),
"c5.12xlarge": specs(3.6, 48, "3.6 GHz Intel Xeon Scalable"),
"c5.18xlarge": specs(3.6, 72, "3.6 GHz Intel Xeon Scalable"),
"c5.24xlarge": specs(3.6, 96, "3.6 GHz Intel Xeon Scalable"),
"c5.metal": specs(3.6, 96, "3.6 GHz Intel Xeon Scalable"),
"c5d.large": specs(3.4, 2, "3.4 GHz Intel Xeon Platinum 8000"),
"c5d.xlarge": specs(3.4, 4, "3.4 GHz Intel Xeon Platinum 8000"),
"c5d.2xlarge": specs(3.4, 8, "3.4 GHz Intel Xeon Platinum 8000"),
"c5d.4xlarge": specs(3.4, 16, "3.4 GHz Intel Xeon Platinum 8000"),
"c5d.9xlarge": specs(3.4, 36, "3.4 GHz Intel Xeon Platinum 8000"),
"c5d.12xlarge": specs(3.6, 48, "3.6 GHz Intel Xeon Scalable"),
"c5d.18xlarge": specs(3.6, 72, "3.6 GHz Intel Xeon Scalable"),
"c5d.24xlarge": specs(3.6, 96, "3.6 GHz Intel Xeon Scalable"),
"c5d.metal": specs(3.6, 96, "3.6 GHz Intel Xeon Scalable"),
// c5n
"c5n.large": specs(3.0, 2, "3.0 GHz Intel Xeon Platinum"),
"c5n.xlarge": specs(3.0, 4, "3.0 GHz Intel Xeon Platinum"),
"c5n.2xlarge": specs(3.0, 8, "3.0 GHz Intel Xeon Platinum"),
"c5n.4xlarge": specs(3.0, 16, "3.0 GHz Intel Xeon Platinum"),
"c5n.9xlarge": specs(3.0, 36, "3.0 GHz Intel Xeon Platinum"),
"c5n.18xlarge": specs(3.0, 72, "3.0 GHz Intel Xeon Platinum"),
"c5n.metal": specs(3.0, 72, "3.0 GHz Intel Xeon Platinum"),
// c4
"c4.large": specs(2.9, 2, "2.9 GHz Intel Xeon E5-2666 v3"),
"c4.xlarge": specs(2.9, 4, "2.9 GHz Intel Xeon E5-2666 v3"),
"c4.2xlarge": specs(2.9, 8, "2.9 GHz Intel Xeon E5-2666 v3"),
"c4.4xlarge": specs(2.9, 16, "2.9 GHz Intel Xeon E5-2666 v3"),
"c4.8xlarge": specs(2.9, 36, "2.9 GHz Intel Xeon E5-2666 v3"),
// -- Memory Optimized --
// r5, r5d
"r5.large": specs(3.1, 2, "3.1 GHz Intel Xeon Platinum 8175"),
"r5.xlarge": specs(3.1, 4, "3.1 GHz Intel Xeon Platinum 8175"),
"r5.2xlarge": specs(3.1, 8, "3.1 GHz Intel Xeon Platinum 8175"),
"r5.4xlarge": specs(3.1, 16, "3.1 GHz Intel Xeon Platinum 8175"),
"r5.8xlarge": specs(3.1, 32, "3.1 GHz Intel Xeon Platinum 8175"),
"r5.12xlarge": specs(3.1, 48, "3.1 GHz Intel Xeon Platinum 8175"),
"r5.16xlarge": specs(3.1, 64, "3.1 GHz Intel Xeon Platinum 8175"),
"r5.24xlarge": specs(3.1, 96, "3.1 GHz Intel Xeon Platinum 8175"),
"r5.metal": specs(3.1, 96, "3.1 GHz Intel Xeon Platinum 8175"),
"r5d.large": specs(3.1, 2, "3.1 GHz Intel Xeon Platinum 8175"),
"r5d.xlarge": specs(3.1, 4, "3.1 GHz Intel Xeon Platinum 8175"),
"r5d.2xlarge": specs(3.1, 8, "3.1 GHz Intel Xeon Platinum 8175"),
"r5d.4xlarge": specs(3.1, 16, "3.1 GHz Intel Xeon Platinum 8175"),
"r5d.8xlarge": specs(3.1, 32, "3.1 GHz Intel Xeon Platinum 8175"),
"r5d.12xlarge": specs(3.1, 48, "3.1 GHz Intel Xeon Platinum 8175"),
"r5d.16xlarge": specs(3.1, 64, "3.1 GHz Intel Xeon Platinum 8175"),
"r5d.24xlarge": specs(3.1, 96, "3.1 GHz Intel Xeon Platinum 8175"),
"r5d.metal": specs(3.1, 96, "3.1 GHz Intel Xeon Platinum 8175"),
// r5a, r5ad
"r5a.large": specs(2.5, 2, "2.5 GHz AMD EPYC 7000 series"),
"r5a.xlarge": specs(2.5, 4, "2.5 GHz AMD EPYC 7000 series"),
"r5a.2xlarge": specs(2.5, 8, "2.5 GHz AMD EPYC 7000 series"),
"r5a.4xlarge": specs(2.5, 16, "2.5 GHz AMD EPYC 7000 series"),
"r5a.8xlarge": specs(2.5, 32, "2.5 GHz AMD EPYC 7000 series"),
"r5a.12xlarge": specs(2.5, 48, "2.5 GHz AMD EPYC 7000 series"),
"r5a.16xlarge": specs(2.5, 64, "2.5 GHz AMD EPYC 7000 series"),
"r5a.24xlarge": specs(2.5, 96, "2.5 GHz AMD EPYC 7000 series"),
"r5ad.large": specs(2.5, 2, "2.5 GHz AMD EPYC 7000 series"),
"r5ad.xlarge": specs(2.5, 4, "2.5 GHz AMD EPYC 7000 series"),
"r5ad.2xlarge": specs(2.5, 8, "2.5 GHz AMD EPYC 7000 series"),
"r5ad.4xlarge": specs(2.5, 16, "2.5 GHz AMD EPYC 7000 series"),
"r5ad.8xlarge": specs(2.5, 32, "2.5 GHz AMD EPYC 7000 series"),
"r5ad.12xlarge": specs(2.5, 48, "2.5 GHz AMD EPYC 7000 series"),
"r5ad.16xlarge": specs(2.5, 64, "2.5 GHz AMD EPYC 7000 series"),
"r5ad.24xlarge": specs(2.5, 96, "2.5 GHz AMD EPYC 7000 series"),
// r5n
"r5n.large": specs(3.1, 2, "3.1 GHz Intel Xeon Scalable"),
"r5n.xlarge": specs(3.1, 4, "3.1 GHz Intel Xeon Scalable"),
"r5n.2xlarge": specs(3.1, 8, "3.1 GHz Intel Xeon Scalable"),
"r5n.4xlarge": specs(3.1, 16, "3.1 GHz Intel Xeon Scalable"),
"r5n.8xlarge": specs(3.1, 32, "3.1 GHz Intel Xeon Scalable"),
"r5n.12xlarge": specs(3.1, 48, "3.1 GHz Intel Xeon Scalable"),
"r5n.16xlarge": specs(3.1, 64, "3.1 GHz Intel Xeon Scalable"),
"r5n.24xlarge": specs(3.1, 96, "3.1 GHz Intel Xeon Scalable"),
"r5dn.large": specs(3.1, 2, "3.1 GHz Intel Xeon Scalable"),
"r5dn.xlarge": specs(3.1, 4, "3.1 GHz Intel Xeon Scalable"),
"r5dn.2xlarge": specs(3.1, 8, "3.1 GHz Intel Xeon Scalable"),
"r5dn.4xlarge": specs(3.1, 16, "3.1 GHz Intel Xeon Scalable"),
"r5dn.8xlarge": specs(3.1, 32, "3.1 GHz Intel Xeon Scalable"),
"r5dn.12xlarge": specs(3.1, 48, "3.1 GHz Intel Xeon Scalable"),
"r5dn.16xlarge": specs(3.1, 64, "3.1 GHz Intel Xeon Scalable"),
"r5dn.24xlarge": specs(3.1, 96, "3.1 GHz Intel Xeon Scalable"),
// r4
"r4.large": specs(2.3, 2, "2.3 GHz Intel Xeon E5-2686 v4"),
"r4.xlarge": specs(2.3, 4, "2.3 GHz Intel Xeon E5-2686 v4"),
"r4.2xlarge": specs(2.3, 8, "2.3 GHz Intel Xeon E5-2686 v4"),
"r4.4xlarge": specs(2.3, 16, "2.3 GHz Intel Xeon E5-2686 v4"),
"r4.8xlarge": specs(2.3, 32, "2.3 GHz Intel Xeon E5-2686 v4"),
"r4.16xlarge": specs(2.3, 64, "2.3 GHz Intel Xeon E5-2686 v4"),
// x1e
"x1e.xlarge": specs(2.3, 4, "2.3 GHz Intel Xeon E7-8880 v3"),
"x1e.2xlarge": specs(2.3, 8, "2.3 GHz Intel Xeon E7-8880 v3"),
"x1e.4xlarge": specs(2.3, 16, "2.3 GHz Intel Xeon E7-8880 v3"),
"x1e.8xlarge": specs(2.3, 32, "2.3 GHz Intel Xeon E7-8880 v3"),
"x1e.16xlarge": specs(2.3, 64, "2.3 GHz Intel Xeon E7-8880 v3"),
"x1e.32xlarge": specs(2.3, 128, "2.3 GHz Intel Xeon E7-8880 v3"),
// x1
"x1.16xlarge": specs(2.3, 64, "2.3 GHz Intel Xeon E7-8880 v3"),
"x1.32xlarge": specs(2.3, 64, "2.3 GHz Intel Xeon E7-8880 v3"),
// high-memory
"u-6tb1.metal": specs(2.1, 448, "2.1 GHz Intel Xeon Platinum 8176M"),
"u-9tb1.metal": specs(2.1, 448, "2.1 GHz Intel Xeon Platinum 8176M"),
"u-12tb1.metal": specs(2.1, 448, "2.1 GHz Intel Xeon Platinum 8176M"),
"u-18tb1.metal": specs(2.7, 448, "2.7 GHz Intel Xeon Scalable"),
"u-24tb1.metal": specs(2.7, 448, "2.7 GHz Intel Xeon Scalable"),
// z1d
"z1d.large": specs(4.0, 2, "4.0 GHz Intel Xeon Scalable"),
"z1d.xlarge": specs(4.0, 4, "4.0 GHz Intel Xeon Scalable"),
"z1d.2xlarge": specs(4.0, 8, "4.0 GHz Intel Xeon Scalable"),
"z1d.3xlarge": specs(4.0, 12, "4.0 GHz Intel Xeon Scalable"),
"z1d.6xlarge": specs(4.0, 24, "4.0 GHz Intel Xeon Scalable"),
"z1d.12xlarge": specs(4.0, 48, "4.0 GHz Intel Xeon Scalable"),
"z1d.metal": specs(4.0, 48, "4.0 GHz Intel Xeon Scalable"),
// -- Accelerated Computing --
// p3, p3dn
"p3.2xlarge": specs(2.3, 8, "2.3 GHz Intel Xeon E5-2686 v4"),
"p3.8xlarge": specs(2.3, 32, "2.3 GHz Intel Xeon E5-2686 v4"),
"p3.16xlarge": specs(2.3, 64, "2.3 GHz Intel Xeon E5-2686 v4"),
"p3dn.24xlarge": specs(2.5, 96, "2.5 GHz Intel Xeon P-8175M"),
// p2
"p2.xlarge": specs(2.3, 4, "2.3 GHz Intel Xeon E5-2686 v4"),
"p2.8xlarge": specs(2.3, 32, "2.3 GHz Intel Xeon E5-2686 v4"),
"p2.16xlarge": specs(2.3, 64, "2.3 GHz Intel Xeon E5-2686 v4"),
// inf1
"inf1.xlarge": specs(3.0, 4, "3.0 GHz Intel Xeon Platinum 8275CL"),
"inf1.2xlarge": specs(3.0, 8, "3.0 GHz Intel Xeon Platinum 8275CL"),
"inf1.6xlarge": specs(3.0, 24, "3.0 GHz Intel Xeon Platinum 8275CL"),
"inf1.24xlarge": specs(3.0, 96, "3.0 GHz Intel Xeon Platinum 8275CL"),
// g4dn
"g4dn.xlarge": specs(2.5, 4, "2.5 GHz Cascade Lake 24C"),
"g4dn.2xlarge": specs(2.5, 8, "2.5 GHz Cascade Lake 24C"),
"g4dn.4xlarge": specs(2.5, 16, "2.5 GHz Cascade Lake 24C"),
"g4dn.8xlarge": specs(2.5, 32, "2.5 GHz Cascade Lake 24C"),
"g4dn.16xlarge": specs(2.5, 64, "2.5 GHz Cascade Lake 24C"),
"g4dn.12xlarge": specs(2.5, 48, "2.5 GHz Cascade Lake 24C"),
"g4dn.metal": specs(2.5, 96, "2.5 GHz Cascade Lake 24C"),
// g3
"g3s.xlarge": specs(2.3, 4, "2.3 GHz Intel Xeon E5-2686 v4"),
"g3s.4xlarge": specs(2.3, 16, "2.3 GHz Intel Xeon E5-2686 v4"),
"g3s.8xlarge": specs(2.3, 32, "2.3 GHz Intel Xeon E5-2686 v4"),
"g3s.16xlarge": specs(2.3, 64, "2.3 GHz Intel Xeon E5-2686 v4"),
// f1
"f1.2xlarge": specs(2.3, 8, "Intel Xeon E5-2686 v4"),
"f1.4xlarge": specs(2.3, 16, "Intel Xeon E5-2686 v4"),
"f1.16xlarge": specs(2.3, 64, "Intel Xeon E5-2686 v4"),
// -- Storage Optimized --
// i3
"i3.large": specs(2.3, 2, "2.3 GHz Intel Xeon E5 2686 v4"),
"i3.xlarge": specs(2.3, 4, "2.3 GHz Intel Xeon E5 2686 v4"),
"i3.2xlarge": specs(2.3, 8, "2.3 GHz Intel Xeon E5 2686 v4"),
"i3.4xlarge": specs(2.3, 16, "2.3 GHz Intel Xeon E5 2686 v4"),
"i3.8xlarge": specs(2.3, 32, "2.3 GHz Intel Xeon E5 2686 v4"),
"i3.16xlarge": specs(2.3, 64, "2.3 GHz Intel Xeon E5 2686 v4"),
"i3.metal": specs(2.3, 72, "2.3 GHz Intel Xeon E5 2686 v4"),
// i3en
"i3en.large": specs(3.1, 2, "3.1 GHz Intel Xeon Scalable"),
"i3en.xlarge": specs(3.1, 4, "3.1 GHz Intel Xeon Scalable"),
"i3en.2xlarge": specs(3.1, 8, "3.1 GHz Intel Xeon Scalable"),
"i3en.3xlarge": specs(3.1, 12, "3.1 GHz Intel Xeon Scalable"),
"i3en.6xlarge": specs(3.1, 24, "3.1 GHz Intel Xeon Scalable"),
"i3en.12xlarge": specs(3.1, 48, "3.1 GHz Intel Xeon Scalable"),
"i3en.24xlarge": specs(3.1, 96, "3.1 GHz Intel Xeon Scalable"),
"i3en.metal": specs(3.1, 96, "3.1 GHz Intel Xeon Scalable"),
// d2
"d2.xlarge": specs(2.4, 4, "2.4 GHz Intel Xeon E5-2676 v3"),
"d2.2xlarge": specs(2.4, 8, "2.4 GHz Intel Xeon E5-2676 v3"),
"d2.4xlarge": specs(2.4, 16, "2.4 GHz Intel Xeon E5-2676 v3"),
"d2.8xlarge": specs(2.4, 36, "2.4 GHz Intel Xeon E5-2676 v3"),
// h1
"h1.2xlarge": specs(2.3, 8, "2.3 GHz Intel Xeon E5 2686 v4"),
"h1.4xlarge": specs(2.3, 16, "2.3 GHz Intel Xeon E5 2686 v4"),
"h1.8xlarge": specs(2.3, 32, "2.3 GHz Intel Xeon E5 2686 v4"),
"h1.16xlarge": specs(2.3, 64, "2.3 GHz Intel Xeon E5 2686 v4"),
}
// EnvAWSFingerprint is used to fingerprint AWS metadata
type EnvAWSFingerprint struct {
StaticFingerprinter
// endpoint for EC2 metadata as expected by AWS SDK
endpoint string
logger log.Logger
}
// NewEnvAWSFingerprint is used to create a fingerprint from AWS metadata
func NewEnvAWSFingerprint(logger log.Logger) Fingerprint {
f := &EnvAWSFingerprint{
logger: logger.Named("env_aws"),
endpoint: strings.TrimSuffix(os.Getenv("AWS_ENV_URL"), "/meta-data/"),
}
return f
}
func (f *EnvAWSFingerprint) Fingerprint(request *FingerprintRequest, response *FingerprintResponse) error {
cfg := request.Config
timeout := AwsMetadataTimeout
// Check if we should tighten the timeout
if cfg.ReadBoolDefault(TightenNetworkTimeoutsConfig, false) {
timeout = 1 * time.Millisecond
}
ec2meta, err := ec2MetaClient(f.endpoint, timeout)
if err != nil {
return fmt.Errorf("failed to setup ec2Metadata client: %v", err)
}
if !isAWS(ec2meta) {
return nil
}
// Keys and whether they should be namespaced as unique. Any key whose value
// uniquely identifies a node, such as ip, should be marked as unique. When
// marked as unique, the key isn't included in the computed node class.
keys := map[string]bool{
"ami-id": false,
"hostname": true,
"instance-id": true,
"instance-type": false,
"local-hostname": true,
"local-ipv4": true,
"public-hostname": true,
"public-ipv4": true,
"placement/availability-zone": false,
}
for k, unique := range keys {
resp, err := ec2meta.GetMetadata(k)
v := strings.TrimSpace(resp)
if v == "" {
f.logger.Debug("read an empty value", "attribute", k)
continue
} else if awsErr, ok := err.(awserr.RequestFailure); ok {
f.logger.Debug("could not read attribute value", "attribute", k, "error", awsErr)
continue
} else if awsErr, ok := err.(awserr.Error); ok {
// if it's a URL error, assume we're not in an AWS environment
// TODO: better way to detect AWS? Check xen virtualization?
if _, ok := awsErr.OrigErr().(*url.Error); ok {
return nil
}
// not sure what other errors it would return
return err
}
// assume we want blank entries
key := "platform.aws." + strings.Replace(k, "/", ".", -1)
if unique {
key = structs.UniqueNamespace(key)
}
response.AddAttribute(key, v)
}
// accumulate resource information, then assign to response
var resources *structs.Resources
var nodeResources *structs.NodeResources
// copy over network specific information
if val, ok := response.Attributes["unique.platform.aws.local-ipv4"]; ok && val != "" {
response.AddAttribute("unique.network.ip-address", val)
nodeResources = new(structs.NodeResources)
nodeResources.Networks = []*structs.NetworkResource{
{
Mode: "host",
Device: "eth0",
IP: val,
CIDR: val + "/32",
MBits: f.throughput(request, ec2meta, val),
},
}
}
// copy over CPU speed information
if specs := f.lookupCPU(ec2meta); specs != nil {
response.AddAttribute("cpu.modelname", specs.model)
response.AddAttribute("cpu.frequency", fmt.Sprintf("%.0f", specs.mhz))
response.AddAttribute("cpu.numcores", fmt.Sprintf("%d", specs.cores))
f.logger.Debug("lookup ec2 cpu", "cores", specs.cores, "MHz", log.Fmt("%.0f", specs.mhz), "model", specs.model)
if ticks := specs.ticks(); request.Config.CpuCompute <= 0 {
response.AddAttribute("cpu.totalcompute", fmt.Sprintf("%d", ticks))
f.logger.Debug("setting ec2 cpu ticks", "ticks", ticks)
resources = new(structs.Resources)
resources.CPU = ticks
if nodeResources == nil {
nodeResources = new(structs.NodeResources)
}
nodeResources.Cpu = structs.NodeCpuResources{CpuShares: int64(ticks)}
}
} else {
f.logger.Warn("failed to find the cpu specification for this instance type")
}
response.Resources = resources
response.NodeResources = nodeResources
// populate Links
response.AddLink("aws.ec2", fmt.Sprintf("%s.%s",
response.Attributes["platform.aws.placement.availability-zone"],
response.Attributes["unique.platform.aws.instance-id"]))
response.Detected = true
return nil
}
func (f *EnvAWSFingerprint) instanceType(ec2meta *ec2metadata.EC2Metadata) (string, error) {
response, err := ec2meta.GetMetadata("instance-type")
if err != nil {
return "", err
}
return strings.TrimSpace(response), nil
}
func (f *EnvAWSFingerprint) lookupCPU(ec2meta *ec2metadata.EC2Metadata) *ec2Specs {
instanceType, err := f.instanceType(ec2meta)
if err != nil {
f.logger.Warn("failed to read EC2 metadata instance-type", "error", err)
return nil
}
for iType, specs := range ec2ProcSpeedTable {
if strings.EqualFold(iType, instanceType) {
return &specs
}
}
return nil
}
func (f *EnvAWSFingerprint) throughput(request *FingerprintRequest, ec2meta *ec2metadata.EC2Metadata, ip string) int {
throughput := request.Config.NetworkSpeed
if throughput != 0 {
return throughput
}
throughput = f.linkSpeed(ec2meta)
if throughput != 0 {
return throughput
}
if request.Node.Resources != nil && len(request.Node.Resources.Networks) > 0 {
for _, n := range request.Node.Resources.Networks {
if n.IP == ip {
return n.MBits
}
}
}
return defaultNetworkSpeed
}
// EnvAWSFingerprint uses lookup table to approximate network speeds
func (f *EnvAWSFingerprint) linkSpeed(ec2meta *ec2metadata.EC2Metadata) int {
instanceType, err := f.instanceType(ec2meta)
if err != nil {
f.logger.Error("error reading instance-type", "error", err)
return 0
}
netSpeed := 0
for reg, speed := range ec2NetSpeedTable {
if reg.MatchString(instanceType) {
netSpeed = speed
break
}
}
return netSpeed
}
func ec2MetaClient(endpoint string, timeout time.Duration) (*ec2metadata.EC2Metadata, error) {
client := &http.Client{
Timeout: timeout,
Transport: cleanhttp.DefaultTransport(),
}
c := aws.NewConfig().WithHTTPClient(client).WithMaxRetries(0)
if endpoint != "" {
c = c.WithEndpoint(endpoint)
}
sess, err := session.NewSession(c)
if err != nil {
return nil, err
}
return ec2metadata.New(sess, c), nil
}
func isAWS(ec2meta *ec2metadata.EC2Metadata) bool {
v, err := ec2meta.GetMetadata("ami-id")
v = strings.TrimSpace(v)
return err == nil && v != ""
}