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gcp-cloud-logging

Use when working with Gcp Cloud Logging — google Cloud Logging log analysis, log-based metrics, sink management, exclusion filters, and log routing configuration via gcloud CLI.

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  • SKILL.md7.5 KB

SKILL.md(原文)

安装前可以查看交给 AI 代理的指令内容。

Cloud Logging Skill

Manage and analyze Google Cloud Logging using gcloud logging commands.

Discovery-First Rule

ALWAYS discover before acting. Never assume log names, sink names, metric names, or exclusion filter names.

# Discover log names
gcloud logging logs list --format=json --limit=50 \
  | jq '[.[] | split("/") | last]'

# Discover sinks
gcloud logging sinks list --format=json \
  | jq '[.[] | {name: .name, destination: .destination, filter: .filter, disabled: .disabled}]'

Parallel Execution Requirement

ALL independent operations MUST run in parallel using background jobs (&) and wait.

for sink in $(gcloud logging sinks list --format="value(name)"); do
  {
    gcloud logging sinks describe "$sink" --format=json
  } &
done
wait

Helper Functions

# Read logs with filter
read_logs() {
  local filter="$1" limit="${2:-100}"
  gcloud logging read "$filter" --limit="$limit" --format=json \
    | jq '[.[] | {timestamp: .timestamp, severity: .severity, logName: .logName | split("/") | last, message: .textPayload // .jsonPayload.message // (.jsonPayload | tostring | .[:200])}]'
}

# List log-based metrics
list_log_metrics() {
  gcloud logging metrics list --format=json \
    | jq '[.[] | {name: .name, description: .description, filter: .filter, metricDescriptor: .metricDescriptor.type}]'
}

# Get sink details
get_sink_details() {
  local sink="$1"
  gcloud logging sinks describe "$sink" --format=json \
    | jq '{name: .name, destination: .destination, filter: .filter, disabled: .disabled, exclusions: .exclusions, writerIdentity: .writerIdentity, includeChildren: .includeChildren}'
}

# List exclusion filters
list_exclusions() {
  gcloud logging sinks list --format=json \
    | jq '[.[] | select(.exclusions) | {sink: .name, exclusions: .exclusions}]'
}

Common Operations

1. Log Analysis

# Recent errors across all services
read_logs "severity>=ERROR" 50

# Errors for a specific service
read_logs "resource.type=\"cloud_run_revision\" AND severity>=ERROR" 50

# Audit logs for IAM changes
read_logs "logName:\"activity\" AND protoPayload.methodName:\"SetIamPolicy\"" 20

# GKE container logs
read_logs "resource.type=\"k8s_container\" AND resource.labels.namespace_name=\"$NAMESPACE\"" 100

2. Log-Based Metrics

# List all custom metrics
list_log_metrics

# Get metric details
gcloud logging metrics describe "$METRIC_NAME" --format=json \
  | jq '{name: .name, filter: .filter, description: .description, labelExtractors: .labelExtractors, bucketOptions: .bucketOptions}'

# Check metric values via monitoring
gcloud monitoring time-series list \
  --filter="metric.type=\"logging.googleapis.com/user/$METRIC_NAME\"" \
  --interval-start-time="$(date -u -v-1H +%Y-%m-%dT%H:%M:%SZ 2>/dev/null || date -u -d '1 hour ago' +%Y-%m-%dT%H:%M:%SZ)" \
  --format=json

3. Sink Management

# All sinks with destinations
gcloud logging sinks list --format=json \
  | jq '[.[] | {name: .name, destination: .destination, filter: .filter, disabled: .disabled, writerIdentity: .writerIdentity}]'

# Check sink writer identity permissions
for sink in $(gcloud logging sinks list --format="value(name)"); do
  {
    echo "Sink: $sink"
    get_sink_details "$sink"
  } &
done
wait

4. Exclusion Filter Analysis

# List all exclusion filters
gcloud logging sinks describe "_Default" --format=json \
  | jq '.exclusions // [] | [.[] | {name: .name, filter: .filter, disabled: .disabled, description: .description}]'

# Check what percentage of logs are excluded
gcloud monitoring time-series list \
  --filter="metric.type=\"logging.googleapis.com/exports/byte_count\"" \
  --interval-start-time="$(date -u -v-24H +%Y-%m-%dT%H:%M:%SZ 2>/dev/null || date -u -d '24 hours ago' +%Y-%m-%dT%H:%M:%SZ)" \
  --format=json

5. Log Volume and Cost Analysis

# Ingestion volume by log type
gcloud monitoring time-series list \
  --filter="metric.type=\"logging.googleapis.com/billing/bytes_ingested\"" \
  --interval-start-time="$(date -u -v-24H +%Y-%m-%dT%H:%M:%SZ 2>/dev/null || date -u -d '24 hours ago' +%Y-%m-%dT%H:%M:%SZ)" \
  --format=json

# Monthly ingested bytes per log name
gcloud monitoring time-series list \
  --filter="metric.type=\"logging.googleapis.com/billing/monthly_bytes_ingested\"" \
  --interval-start-time="$(date -u -v-24H +%Y-%m-%dT%H:%M:%SZ 2>/dev/null || date -u -d '24 hours ago' +%Y-%m-%dT%H:%M:%SZ)" \
  --format=json

Output Format

Present results as a structured report:

Gcp Cloud Logging Report
════════════════════════
Resources discovered: [count]

Resource       Status    Key Metric    Issues
──────────────────────────────────────────────
[name]         [ok/warn] [value]       [findings]

Summary: [total] resources | [ok] healthy | [warn] warnings | [crit] critical
Action Items: [list of prioritized findings]

Target ≤50 lines of output. Use tables for multi-resource comparisons.

Anti-Hallucination Rules

  1. NEVER assume resource names — always discover via CLI/API in Phase 1 before referencing in Phase 2.
  2. NEVER fabricate metric names or dimensions — verify against the service documentation or --help output.
  3. NEVER mix CLI commands between service versions — confirm which version/API you are targeting.
  4. ALWAYS use the discovery → verify → analyze chain — every resource referenced must have been discovered first.
  5. ALWAYS handle empty results gracefully — an empty response is valid data, not an error to retry.

Counter-Rationalizations

ShortcutCounterWhy
"I'll skip discovery and check known resources"Always run Phase 1 discovery firstResource names change, new resources appear — assumed names cause errors
"The user only asked for a quick check"Follow the full discovery → analysis flowQuick checks miss critical issues; structured analysis catches silent failures
"Default configuration is probably fine"Audit configuration explicitlyDefaults often leave logging, security, and optimization features disabled
"Metrics aren't needed for this"Always check relevant metrics when availableAPI/CLI responses show current state; metrics reveal trends and intermittent issues
"I don't have access to that"Try the command and report the actual errorAssumed permission failures prevent useful investigation; actual errors are informative

Common Pitfalls

  1. _Required vs _Default sink: The _Required sink cannot be disabled or filtered (audit logs, access transparency). Only _Default and custom sinks can be configured.
  2. Exclusion filter cost: Excluded logs are not stored but are still ingested. They count toward ingestion quotas but not storage costs.
  3. Log filter syntax: Cloud Logging uses a filter expression language, not regex. Use =~ for regex matching: textPayload =~ "error.*timeout".
  4. Sink permissions: Each sink has a writerIdentity service account that needs write permissions on the destination (BigQuery, GCS, Pub/Sub).
  5. Retention periods: Default retention is 30 days for _Default bucket. Custom buckets can have different retention. Locked buckets cannot be shortened.

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