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Investigate Google Cloud networking issues by analyzing VPC Flow Logs, firewall logs, Cloud NAT logs, threat logs, and networking metrics. Run Connectivity Tests for path diagnostics and use BigQuery linked datasets for high-volume traffic analysis.
Passed 22 of 23 test cases with the skill, and 12 of 23 without it.
and 13 more in the full report
11 fixed11 passed either way0 still failing1 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 11 test cases the skill fixed. Same model, same prompt, with and without the skill.
Our network team needs a quick visual console interface to inspect top traffic flows and network paths in GCP without writing custom BigQuery SQL queries. Which native GCP Console feature should they use?
| Checked | Without skill | With skill |
|---|---|---|
| Recommends GCP Flow Analyzer for no-code traffic flow visualization | Missed | Passed |
The instructions your model reads when the skill loads.
Google Cloud emits multiple network telemetry streams: VPC Flow Logs (sampled IP traffic), firewall rule logs, Cloud NAT translation logs, Cloud Firewall Plus / Cloud IDS threat logs, and aggregated metrics in Cloud Monitoring. Connectivity Tests provide static path analysis for "why can't A reach B?" questions. The right source depends on the question — pick one and stop, do not chase verification across tools.
| Stream | Use it for |
|---|---|
| VPC Flow Logs | Top talkers, bytes/packets between IPs, traffic trends, egress analysis |
| Firewall Logs | DENY events, verifying ALLOW rules, audit of who hit which rule |
| Cloud NAT Logs | Port exhaustion, source NAT translation auditing |
| Threat Logs | Cloud Firewall Plus / Cloud IDS — malicious patterns from deep packet inspection |
| Networking Metrics | Time-series throughput, RTT, packet loss for performance dashboards |
| Connectivity Tests | Static reachability analysis between two endpoints |
# Enable flow logs on a subnet (5% sampling, full metadata)
gcloud compute networks subnets update prod-subnet \
--region=us-central1 \
--enable-flow-logs \
--logging-aggregation-interval=interval-5-sec \
--logging-flow-sampling=0.5 \
--logging-metadata=include-all
# Upgrade the log bucket to Log Analytics, then link it to BigQuery
# (one-time setup; the project's _Default bucket already receives these logs)
gcloud logging buckets update _Default --location=global --enable-analytics
gcloud logging links create network_logs_link \
--bucket=_Default --location=global
test cases passed, vs 12 / 23 without
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