@grnsft/if
Version:
Impact Framework
162 lines (161 loc) • 4.99 kB
YAML
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