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Use YAML sample files for configuration testing in Docker, Kubernetes, and CI/CD pipelines. These examples focus on indentation safety, key structure, and deployment-friendly readability.

Download free sample YAML files for testing and development.

Other sample types

CSV JSON SQL Text vCard (.vcf) Word (.docx) Excel (.xlsx) XML YAML

File Name	Size	Action
sample_file_yaml_512kb.yaml	512KB	Download
sample_file_yaml_1024kb.yaml	1MB	Download
sample_file_yaml_2048kb.yaml	2MB	Download
sample_file_yaml_5120kb.yaml	5MB	Download
sample_file_yaml_10240kb.yaml	10MB	Download

Developer deep dive

Indentation pitfalls (tabs vs spaces).
Kubernetes manifest structuring.
Docker Compose service graph patterns.
CI/CD matrix and environment variable conventions.
Anchor/alias usage and parser compatibility.

Best practices

Use spaces only for indent
Pin image versions in deployment files
Separate env-specific overlays
Lint before commit

Real workflows

Multi-service docker-compose stack
Kubernetes deployment and service manifest
CI workflow job matrix configuration

To avoid CI/CD failures, validate YAML indentation and keys before commit.

When a strict schema is required, convert YAML to JSON for deterministic validation pipelines.

Common validation issues

Tab indentation errors
Unexpected scalar coercion
Invalid nesting depth
Duplicate keys

Integration notes

Who uses this format

DevOps engineers Platform teams Backend developers SRE teams

Common integrations

Kubernetes Docker Compose GitHub Actions GitLab CI Ansible

File structure overview

Key-value mapping at root
Nested objects via indentation
Lists with dash-prefixed items
Optional anchors/aliases in advanced setups

Realistic sample preview

version: "3.9"
services:
  api:
    image: my-app:1.4.0
    ports:
      - "8080:80"
    environment:
      APP_ENV: production
      DB_HOST: db
    depends_on:
      - db
  db:
    image: postgres:16
    volumes:
      - pg_data:/var/lib/postgresql/data
volumes:
  pg_data: {}

Format comparisons

YAML vs JSON for configuration

YAML is easier to read/write manually.
JSON gives stricter parser behavior for automation contracts.

Practical guidance

When to use YAML instead of JSON

YAML is easier for hand-edited CI/CD and Kubernetes manifests, while JSON is preferable for strict schema-driven API payloads.

YAML to JSON JSON to YAML

Why multiple sample file sizes exist

Size	Typical use
512KB	Quick sanity checks and smoke tests.
1MB	Baseline import tests in local/dev tools.
2MB	Common integration-scale test volume.
5MB	Parser stress testing for medium datasets.
10MB	Performance benchmarking for manifest linting and CI config processing.

Frequently asked questions

Why does my YAML file fail with indentation errors?

YAML treats indentation as structure. Use spaces only, keep levels consistent, and avoid mixing tabs with spaces.

How is YAML different from JSON for configs?

YAML is usually easier to read and write by hand, while JSON is stricter and often easier to validate with schemas.

Can I use these samples for Kubernetes and Docker?

Yes. The examples are structured for common manifest and compose scenarios, making them useful for deployment pipeline tests.

Why do tabs break YAML files?

Most YAML parsers expect spaces-only indentation. Tabs can silently shift structure and fail validation in CI or deployment tools.

Is YAML suitable for API payloads?

Possible, but JSON is more common and stricter for APIs. YAML is typically better for human-edited configs and manifests.

How should I test Kubernetes YAML samples?

Run linting and schema checks, then dry-run deploy commands to ensure object structure and field compatibility.