Expert OpenTelemetry guidance for collector configuration, pipeline design, and production telemetry instrumentation across Kubernetes, ECS, serverless, and standalone deployments. Use when configuring collectors, designing pipelines, instrumenting applications, implementing sampling, managing cardinality, securing telemetry, writing OTTL transformations, or setting up AI coding agent observability (Claude Code, Codex, Gemini CLI, Antigravity, GitHub Copilot).
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"""Validate the actual documented YAML using a pinned, network-isolated Collector.
Run from the repository root: python tests/validate_collector_examples.py
Docker must be available; validation does not test backend connectivity or delivery.
"""
import re
import subprocess
from pathlib import Path
ROOT = Path(__file__).resolve().parents[1]
IMAGES = [f"otel/opentelemetry-collector-contrib:{version}" for version in ("0.160.0", "0.162.0")]
EXAMPLES = [
("references/ai-agents.md", "## 3. Unified Collector Config"),
("references/collector.md", "### Agent Configuration (Kafka Exporter)"),
("references/collector.md", "### Gateway Configuration (Kafka Receiver)"),
]
def main():
for image in IMAGES:
validate_image(image)
def validate_image(image):
for filename, heading in EXAMPLES:
text = (ROOT / filename).read_text()
section = text[text.index(heading):]
config = re.search(r"```yaml\n(.*?)```", section, re.S).group(1)
result = subprocess.run([
"docker", "run", "--rm", "-i", "--network", "none",
"--env", "KAFKA_USERNAME=example", "--env", "KAFKA_PASSWORD=example",
image, "validate", "--config=file:/dev/stdin",
], input=config, text=True, capture_output=True, timeout=180)
print(f"{image}: {filename}: {heading}: {'PASS' if result.returncode == 0 else 'FAIL'}", flush=True)
if result.returncode:
raise SystemExit(result.stdout + result.stderr)
if __name__ == "__main__":
main().claude-plugin
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.cursor-plugin
.github
docs
examples
references
tests