IBM Vault Operations

Given a scenario, you must produce a configuration that works first time. You write listener, storage, seal and telemetry stanzas, set addresses correctly for clustering, then enable the engines and auth methods the scenario needs.

• Listener, storage and seal stanzas
• api_addr and cluster_addr for clustering
• Telemetry and logging settings
• Reloading configuration without a restart
• Enabling engines and auth methods at the right paths
• Tuning mounts for lease and token limits
• Validating a configuration before it goes live

You build A working server configuration produced from a written scenario.

Raft-based integrated storage removes an external dependency and adds its own rules. You build a cluster, reason about quorum and voters, take and restore snapshots, and replace failed nodes cleanly.

• Joining nodes to a Raft cluster
• Quorum, voters and failure tolerance
• Autopilot and health of the cluster
• Taking and restoring snapshots
• Removing and replacing peers
• Upgrading nodes one at a time

You build A three-node integrated storage cluster with a tested snapshot restore.

Key handling is where operators make irreversible mistakes. You initialize with the right share counts, distribute keys safely, auto-unseal, rekey and rotate for the right reasons, and generate and revoke root tokens without leaving one behind.

• Initialization: shares, threshold and recovery keys
• Encrypting key shares for their holders
• Auto-unseal with a cloud key service
• Rekey against rotating the encryption key
• Generating a root token for an emergency
• Revoking root tokens afterward

You build A key-handling procedure covering init, rekey and an emergency root token.

A Vault you cannot see is a Vault you cannot trust. You send telemetry to a metrics system, decide what deserves an alert, enable audit devices knowing what happens when they fail, and read operational logs under pressure.

• Telemetry sinks and the metrics worth watching
• Alerting on seal state, leadership and latency
• Audit devices and their configuration
• What happens when every audit device fails
• Reading audit entries and their hashed values
• Operational log levels and rotation
• Building a dashboard for an on-call operator

You build A dashboard and alert set driven by Vault telemetry and audit logs.

The hardest problem is how a new client first gets a credential. You work through secure introduction patterns, use response wrapping and trusted orchestrators, and weigh the security consequences of running Vault inside Kubernetes.

• The secret zero problem
• AppRole with response wrapping
• Platform identity as an introduction method
• Trusted orchestrator patterns
• Kubernetes authentication and its trust boundary
• Risks of running Vault in Kubernetes

You build A secure-introduction design for an application, with its trust assumptions stated.

Clusters fail in partial and confusing ways. You configure high availability, set load balancer health checks correctly, and in Enterprise set up disaster recovery replication, promote a secondary and rehearse the failover.

• Active and standby nodes and request forwarding
• Load balancer health checks against Vault’s health endpoint
• Disaster recovery primary and secondary clusters
• Promoting and demoting clusters
• Batch disaster recovery operation tokens
• Writing and rehearsing a failover runbook

You build A tested failover runbook for losing a primary cluster.

Some environments require keys to live in hardware. You describe what auto-unseal with an HSM changes, how seal wrap protects selected values, what the PKCS#11 interface involves, and how availability depends on the device.

• What an HSM adds to Vault’s key protection
• PKCS#11 configuration in outline
• Auto-unseal with an HSM
• Seal wrap and the values it protects
• Availability risks when the HSM is unreachable
• Migrating from one seal type to another

You build An architecture note justifying HSM-backed sealing for a regulated workload.

Throughput limits show up in tokens, leases and read traffic first. You choose batch tokens to cut storage load, and in Enterprise add performance standby nodes, performance replication and path filters to spread work and keep data local.

• Where Vault’s load really comes from
• Batch tokens and their trade-offs
• Performance standby nodes for reads
• Performance replication between clusters
• Path filters and local mounts
• Tokens and leases across replicated clusters

You build A scaling plan that matches each bottleneck to a specific Vault feature.

Identity and policy design determine how many people can break things. You interpret identity entities and groups, debug ACL policies that do not do what was intended, and in Enterprise apply Sentinel, control groups and namespaces.

• Entities, aliases and groups in operation
• Debugging an ACL policy that denies too much or too little
• Namespaces for tenant isolation
• Sentinel policies on requests
• Control groups for multi-person approval
• Delegating administration safely

You build A multi-tenant access design using namespaces, groups and an approval rule.

Agent keeps applications from needing Vault’s API. You configure auto-auth for a platform, write the token sink so it cannot be read by the wrong process, and render secret templates that update when a secret changes.

• Auto-auth methods and when to use each
• Token sinks and securing them
• Template files and rendering secrets
• Re-rendering on secret rotation
• Caching through the Agent
• Debugging an Agent that will not authenticate

You build An Agent configuration that authenticates, renders secrets and survives a rotation.

Build a hardened, replicated Vault from a written scenario. Then lose a node, lose the primary, lose an audit device and lose a key holder, and recover each time using your own runbooks.

• Building the cluster from the scenario
• Wiring monitoring before anything breaks
• Failing a node and recovering
• Failing over to a secondary
• Recovering from key and token mistakes
• Writing the post-incident review

You build A running replicated cluster with runbooks proven against four failures.