HashiCorp Vault Operational Intelligence
summary
Describes building a Vault operational pipeline that queries mounts and KV v1/v2 backends with a read-only reporting role, uses the HVAC Python client to count secrets and emit a JSON file, and pushes that file into Splunk JSON ingest for dashboards. Shows audit-log dashboards for request rates (example 20,000/day), correlates requests to CPU/memory for capacity planning, and demos a live update from 39 to 40 secrets to prove the extraction and ingestion flow works.
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chapters (6)
- 0:00Introduction to operations
- 1:08Vault data mechanisms
- 3:04Strategic operational goals
- 5:38Driving adoption and growth
- 10:33Custom data ingestion setup
- 15:15Visualizing metrics in Splunk
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