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@grnsft/if

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Impact Framework

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name: Aggregation description: Apply both `horizontal` and `vertical` aggregations aggregation: metrics: - cpu/utilization type: both initialize: plugins: cloud-metadata: path: builtin method: CSVLookup config: filepath: >- https://raw.githubusercontent.com/Green-Software-Foundation/if-data/main/cloud-metdata-aws-instances.csv query: instance-class: cloud/instance-type output: - cpu-cores-utilized - vcpus-allocated parameter-metadata: inputs: cpu/utilization: unit: percentage description: refers to CPU utilization. aggregation-method: time: avg component: avg execution: command: >- /Users/mariamkhalatova/.npm/_npx/1bf7c3c15bf47d04/node_modules/.bin/ts-node /Users/mariamkhalatova/Projects/UK/if/src/index.ts -m manifests/outputs/features/aggregate.yml -o manifests/outputs/features/aggregate environment: if-version: 0.4.0 os: macOS os-version: "13.2" node-version: 18.14.2 date-time: 2024-07-01T20:34:35.981Z (UTC) dependencies: - "@babel/core@7.22.10" - "@babel/preset-typescript@7.23.3" - "@commitlint/cli@18.6.0" - "@commitlint/config-conventional@18.6.0" - "@grnsft/if-core@0.0.10" - "@jest/globals@29.7.0" - "@types/jest@29.5.8" - "@types/js-yaml@4.0.9" - "@types/luxon@3.4.2" - "@types/node@20.9.0" - axios-mock-adapter@1.22.0 - axios@1.7.2 - cross-env@7.0.3 - csv-parse@5.5.6 - csv-stringify@6.4.6 - fixpack@4.0.0 - gts@5.2.0 - husky@8.0.3 - jest@29.7.0 - js-yaml@4.1.0 - lint-staged@15.2.2 - luxon@3.4.4 - release-it@16.3.0 - rimraf@5.0.5 - ts-command-line-args@2.5.1 - ts-jest@29.1.1 - typescript-cubic-spline@1.0.1 - typescript@5.2.2 - winston@3.11.0 - zod@3.22.4 status: success tree: children: application: pipeline: compute: - cloud-metadata children: uk-west: children: server-1: inputs: - timestamp: "2024-02-26 00:00:00" duration: 300 cloud/instance-type: m5n.large cloud/vendor: aws cpu/utilization: 89 - timestamp: "2024-02-26 00:05:00" duration: 300 cloud/instance-type: m5n.large cloud/vendor: aws cpu/utilization: 59 outputs: - timestamp: "2024-02-26 00:00:00" duration: 300 cloud/instance-type: m5n.large cloud/vendor: aws cpu/utilization: 89 vcpus-allocated: 2 - timestamp: "2024-02-26 00:05:00" duration: 300 cloud/instance-type: m5n.large cloud/vendor: aws cpu/utilization: 59 vcpus-allocated: 2 aggregated: cpu/utilization: 74 server-2: inputs: - timestamp: "2024-02-26 00:00:00" duration: 300 cloud/instance-type: m5n.large cloud/vendor: aws cpu/utilization: 24 - timestamp: "2024-02-26 00:05:00" duration: 300 cloud/instance-type: m5n.large cloud/vendor: aws cpu/utilization: 27 outputs: - timestamp: "2024-02-26 00:00:00" duration: 300 cloud/instance-type: m5n.large cloud/vendor: aws cpu/utilization: 24 vcpus-allocated: 2 - timestamp: "2024-02-26 00:05:00" duration: 300 cloud/instance-type: m5n.large cloud/vendor: aws cpu/utilization: 27 vcpus-allocated: 2 aggregated: cpu/utilization: 25.5 outputs: - cpu/utilization: 56.5 timestamp: "2024-02-26 00:00:00" duration: 300 - cpu/utilization: 43 timestamp: "2024-02-26 00:05:00" duration: 300 aggregated: cpu/utilization: 49.75 outputs: - cpu/utilization: 56.5 timestamp: "2024-02-26 00:00:00" duration: 300 - cpu/utilization: 43 timestamp: "2024-02-26 00:05:00" duration: 300 aggregated: cpu/utilization: 49.75 outputs: - cpu/utilization: 56.5 timestamp: "2024-02-26 00:00:00" duration: 300 - cpu/utilization: 43 timestamp: "2024-02-26 00:05:00" duration: 300 aggregated: cpu/utilization: 49.75