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Kubernetes HorizontalPodAutoscaler (autoscaling/v2)

An autoscaling/v2 HPA with both a Resource and a Pods metric, plus scaleUp and scaleDown behaviour policies. The v2 metric shape differs sharply from v1 and v2beta, which is what makes it a useful conversion fixture.

Config testingConfig parsingEditor testing
Preview, first 41 linesyaml
apiVersion: autoscaling/v2
kind: HorizontalPodAutoscaler
metadata:
  name: orders
  namespace: example-apps
spec:
  scaleTargetRef:
    apiVersion: apps/v1
    kind: Deployment
    name: orders
  minReplicas: 3
  maxReplicas: 20
  metrics:
    - type: Resource
      resource:
        name: cpu
        target:
          type: Utilization
          averageUtilization: 70
    - type: Pods
      pods:
        metric:
          name: http_requests_per_second
        target:
          type: AverageValue
          averageValue: "250"
  behavior:
    scaleDown:
      stabilizationWindowSeconds: 300
      policies:
        - type: Percent
          value: 50
          periodSeconds: 60
    scaleUp:
      stabilizationWindowSeconds: 0
      selectPolicy: Max
      policies:
        - type: Pods
          value: 4
          periodSeconds: 30

Specifications

Kind
HorizontalPodAutoscaler
Api Version
autoscaling/v2
Metrics
2
Min Replicas
3
Max Replicas
20
Behavior Policies
2

Testing contract

Expected to pass
Scenario
Read autoscaling/v2 metric targets, which are shaped differently from v1 and v2beta
Expected result
Two metrics resolve (CPU at 70% utilization and a Pods metric averaging 250) with distinct scaleUp and scaleDown policies

What is a .yaml file?

YAML (YAML Ain't Markup Language) is a human-readable data-serialization format using indentation, key-value pairs, and lists, and is a superset of JSON. It supports comments, anchors, and multiple documents per file, favoring readability for configuration. Its indentation sensitivity makes it error-prone to hand-edit.

How to use this file

Use an example YAML file to test config parsers, indentation and anchor handling, multi-document streams, and safe-loading to avoid arbitrary object construction.

How to use this file for testing

“Kubernetes HorizontalPodAutoscaler (autoscaling/v2)” is a deterministic Testaroo fixture for Config testing, Config parsing, Editor testing. TOML, INI, YAML, .env, and dotfile configuration samples with nested sections and typed values, for testing config parsers, loaders, and environment tooling.

Documented properties for this file: YAML · 843 bytes. Compare results against paired or grouped companions on this page when present (clean↔damaged, searchable↔scanned, or format twins) so scores stay reproducible across runs.

Download the file once, keep the path stable in CI or local scripts, and treat the spec table as the contract: dimensions, seeds, field lists, and roles are intentional. Corrupt or invalid samples are labelled as such, expect parsers to fail loudly rather than silently accept them.

Pipeline and infrastructure fixtures are inert configuration: steps reference fictional images and scripts, and nothing here executes. Run your linter, schema validator, migrator, or policy engine against them, and expect the deprecated-syntax and intentionally invalid variants to be rejected.

Point your config loader at the file and assert it reads the documented sections and typed values, including any deliberately-tricky nesting or comments.

Code examples

import yaml  # pip install pyyaml

with open("hpa-v2.yaml") as f:
    data = yaml.safe_load(f)
print(data)

Generated by generation/pipelines.py. Free for any use, no attribution required, license.

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