Secrets Vault Manager

Tier: POWERFUL Category: Engineering Domain: Security / Infrastructure / DevOps

Overview

Production secret infrastructure management for teams running HashiCorp Vault, cloud-native secret stores, or hybrid architectures. This skill covers policy authoring, auth method configuration, automated rotation, dynamic secrets, audit logging, and incident response.

Distinct from env-secrets-manager which handles local .env file hygiene and leak detection. This skill operates at the infrastructure layer — Vault clusters, cloud KMS, certificate authorities, and CI/CD secret injection.

When to Use

• Standing up a new Vault cluster or migrating to a managed secret store
• Designing auth methods for services, CI runners, and human operators
• Implementing automated credential rotation (database, API keys, certificates)
• Auditing secret access patterns for compliance (SOC 2, ISO 27001, HIPAA)
• Responding to a secret leak that requires mass revocation
• Integrating secrets into Kubernetes workloads or CI/CD pipelines

HashiCorp Vault Patterns

Architecture Decisions

Auth Methods

AppRole — Machine-to-machine authentication for services and batch jobs.

# Enable AppRole
path "auth/approle/*" {
  capabilities = ["create", "read", "update", "delete", "list"]
}

# Application-specific role
vault write auth/approle/role/payment-service \
  token_ttl=1h \
  token_max_ttl=4h \
  secret_id_num_uses=1 \
  secret_id_ttl=10m \
  token_policies="payment-service-read"

Kubernetes — Pod-native authentication via service account tokens.

vault write auth/kubernetes/role/api-server \
  bound_service_account_names=api-server \
  bound_service_account_namespaces=production \
  policies=api-server-secrets \
  ttl=1h

OIDC — Human operator access via SSO provider (Okta, Azure AD, Google Workspace).

vault write auth/oidc/role/engineering \
  bound_audiences="vault" \
  allowed_redirect_uris="https://vault.example.com/ui/vault/auth/oidc/oidc/callback" \
  user_claim="email" \
  oidc_scopes="openid,profile,email" \
  policies="engineering-read" \
  ttl=8h

Secret Engines

Policy Design

Follow least-privilege with path-based granularity:

# payment-service-read policy
path "secret/data/production/payment/*" {
  capabilities = ["read"]
}

path "database/creds/payment-readonly" {
  capabilities = ["read"]
}

# Deny access to admin paths explicitly
path "sys/*" {
  capabilities = ["deny"]
}

Policy naming convention: {service}-{access-level} (e.g., payment-service-read, api-gateway-admin).

Cloud Secret Store Integration

Comparison Matrix

When to Use Which

• AWS Secrets Manager: RDS/Aurora credential rotation out of the box. Best when fully on AWS.
• Azure Key Vault: Certificate management strength. Required for Azure AD integrated workloads.
• GCP Secret Manager: Simplest API surface. Best for GKE-native workloads with Workload Identity.
• HashiCorp Vault: Multi-cloud, dynamic secrets, PKI, transit encryption. Best for complex or hybrid environments.

SDK Access Patterns

Principle: Always fetch secrets at startup or via sidecar — never bake into images or config files.

# AWS Secrets Manager pattern
import boto3, json

def get_secret(secret_name, region="us-east-1"):
    client = boto3.client("secretsmanager", region_name=region)
    response = client.get_secret_value(SecretId=secret_name)
    return json.loads(response["SecretString"])

# GCP Secret Manager pattern
from google.cloud import secretmanager

def get_secret(project_id, secret_id, version="latest"):
    client = secretmanager.SecretManagerServiceClient()
    name = f"projects/{project_id}/secrets/{secret_id}/versions/{version}"
    response = client.access_secret_version(request={"name": name})
    return response.payload.data.decode("UTF-8")

# Azure Key Vault pattern
from azure.identity import DefaultAzureCredential
from azure.keyvault.secrets import SecretClient

def get_secret(vault_url, secret_name):
    credential = DefaultAzureCredential()
    client = SecretClient(vault_url=vault_url, credential=credential)
    return client.get_secret(secret_name).value

Secret Rotation Workflows

Rotation Strategy by Secret Type

Database Credential Rotation (Dual-Account)

1. Two database accounts exist: app_user_a and app_user_b
2. Application currently uses app_user_a
3. Rotation rotates app_user_b password, updates secret store
4. Application switches to app_user_b on next credential fetch
5. After grace period, app_user_a password is rotated
6. Cycle repeats

API Key Rotation (Overlap Window)

1. Generate new API key with provider
2. Store new key in secret store as current, move old to previous
3. Deploy applications — they read current
4. After all instances restarted (or TTL expired), revoke previous
5. Monitoring confirms zero usage of old key before revocation

Dynamic Secrets

Dynamic secrets are generated on-demand with automatic expiration. Prefer dynamic secrets over static credentials wherever possible.

Database Dynamic Credentials (Vault)

# Configure database engine
vault write database/config/postgres \
  plugin_name=postgresql-database-plugin \
  connection_url="postgresql://{{username}}:{{password}}@db.example.com:5432/app" \
  allowed_roles="app-readonly,app-readwrite" \
  username="vault_admin" \
  password="<admin-password>"

# Create role with TTL
vault write database/roles/app-readonly \
  db_name=postgres \
  creation_statements="CREATE ROLE \"{{name}}\" WITH LOGIN PASSWORD '{{password}}' VALID UNTIL '{{ex