"-Porg.gradle.java.installations.auto-download=false",
    os.javaInstallationLocations()
) + listOf(
    "-Porg.gradle.performance.branchName" to "%teamcity.build.branch%",
    "-Porg.gradle.performance.db.url" to "%performance.db.url%",
    "-Porg.gradle.performance.db.username" to "%performance.db.username%"
).map { (key, value) -> os.escapeKeyValuePair(key, value) }

const val individualPerformanceTestArtifactRules = """

            gradleRunnerStep(
                model,
                ":$performanceProjectName:$taskName --channel %performance.channel%",
                extraParameters = listOf(
                    "-Porg.gradle.performance.branchName" to "%teamcity.build.branch%",
                    "-Porg.gradle.performance.db.url" to "%performance.db.url%",

            "\"-Porg.gradle.performance.branchName=%teamcity.build.branch%\"",
            "\"-Porg.gradle.performance.db.url=%performance.db.url%\"",
            "\"-Porg.gradle.performance.db.username=%performance.db.username%\"",
            "-DenableTestDistribution=%enableTestDistribution%",
            "-Dorg.gradle.workers.max=%maxParallelForks%",

Specifically, to see Uvicorn, Starlette and FastAPI compared together (among many other tools).

The simpler the problem solved by the tool, the better performance it will get. And most of the benchmarks don't test the additional features provided by the tool.

The hierarchy is like:

* **Uvicorn**: an ASGI server
    * **Starlette**: (uses Uvicorn) a web microframework

        params {
            text(
                "performance.baselines",
                type.defaultBaselines,
                display = ParameterDisplay.PROMPT,
                allowEmpty = true,
                description = "The baselines you want to run performance tests against. Empty means default baseline."
            )
            param("performance.channel", performanceTestBuildSpec.channel())

package util

import jetbrains.buildServer.configs.kotlin.Project

object UtilPerformanceProject : Project({
    id("Util_Performance")
    name = "Performance"

    buildType(AdHocPerformanceScenarioLinux)
    buildType(AdHocPerformanceScenarioWindows)
    buildType(AdHocPerformanceScenarioMacOS)
    buildType(AdHocPerformanceScenarioMacAppleSilicon)

    params {
        param("env.DEVELOCITY_ACCESS_KEY", "%ge.gradle.org.access.key%")

      env:
        # Exclude some projects and configurations that should not contribute to the dependency graph
        DEPENDENCY_GRAPH_EXCLUDE_PROJECTS: ':docs|:internal-performance-testing|:enterprise-plugin-performance|:performance|:internal-integ-testing'

	cli.BoolFlag{
		Name:   "compat",
		Usage:  "enable strict S3 compatibility by turning off certain performance optimizations",
		Hidden: true,
	},
	// This flag is hidden and to be used only during certain performance testing.
	cli.BoolFlag{
		Name:   "no-compat",
		Usage:  "disable strict S3 compatibility by turning on certain performance optimizations",
		Hidden: true,
	},
}

// Help template for minio.

// 4. buildScanPerformance test, which doesn't depend on compileAll
    isInBuild(
        "Check_CompileAllBuild",
        "Check_BuildDistributions",
        "Component_GradlePlugin_Performance_PerformanceLatestMaster",
        "Component_GradlePlugin_Performance_PerformanceLatestReleased"
    )

fun Project.isExpectedCompileCacheMiss() =
// Expected cache-miss:
// 1. CompileAll is the seed build

  kubectl create configmap -n istio-system istio-grafana-dashboards \
    --dry-run=client -oyaml \
    --from-file=pilot-dashboard.json="${TMP}/pilot-dashboard.json" \
    --from-file=istio-performance-dashboard.json="${TMP}/istio-performance-dashboard.json"

  echo -e "\n---\n"
  kubectl create configmap -n istio-system istio-services-grafana-dashboards \
    --dry-run=client -oyaml \