Databases
Audience: operator · Profile:
demo· Read this when: you are standing up a managed database, or want to manage one you already run.
The dashboard manages databases two ways — provision a new managed database in a cloud, or register one that already exists, on-premises included — and layers the BeyondTrust PAM stack on top of what it provisions. Provisioning needs a Terraform module, so it is cloud-only; registering needs only somewhere to reach.
The provisioned path is provisioning + three stacked layers, each solving a different privileged-access problem (the same model used across the Cloud VMs and Kubernetes docs):
- Provisioning — stand up a private database (AWS RDS / Azure Flexible Server + SQL DB / GCP Cloud SQL / OCI Autonomous DB, plus MongoDB on Atlas). The dashboard mints the admin credential and stores it encrypted.
- Layer 1 — PRA (reach it) — a BeyondTrust Privileged Remote Access protocol tunnel brokers private access to the DB; the admin credential is vaulted in PRA for injection. This is what makes the private database usable.
- Layer 2 — Password Safe (manage its secrets) — optional. Password Safe owns rotation of a dedicated managed DB user and keeps the PRA-vaulted credential in sync.
- Layer 3 — Entitle (grant time-boxed access) — optional. Onboard the DB as an Entitle integration so users request just-in-time access; Entitle mints ephemeral accounts (or assigns persistent roles) per engine.
The other path is registration: record a database
the dashboard did not create — on-premises (cloud = local) or in a cloud — so it
can be a Configuration Management target. Nothing is built and no
credential is stored; the admin login is a Password Safe managed account checked out
at run time. The fastest way to register is
Import from Password Safe, which lists what Password
Safe already discovered instead of asking you to type it.
The layers stack — stop after Provisioning + PRA, or add Password Safe and/or Entitle. They apply to what the dashboard provisions: a registered database gets none of them, because there is no Terraform state to tear down and no credential to vault. That is the trade for being able to point at a database you already run. Provisioning coverage differs by cloud/engine:
| Cloud | Provisioning | L1 PRA | L2 Password Safe | L3 Entitle |
|---|---|---|---|---|
| AWS | postgres / mysql / sqlserver / oracle (RDS) + mongodb (Atlas) | ✅ tunnel | ✅ dbssm; oracle on the native platform (not mongodb) |
✅ register + JIT |
| Azure | postgres / mysql (Flexible Server) + sqlserver (SQL DB + Private Endpoint) + mongodb (Atlas) | ✅ tunnel | ✅ dbazure |
✅ register + JIT |
| GCP | postgres / mysql / sqlserver (Cloud SQL, private IP) + mongodb (Atlas) | ✅ tunnel | ⚠️ dbgcp — sqlserver via Cloud Run; postgres / mysql inert until the Data API channel ships |
✅ postgres / mysql (via forwarder) |
| OCI | ⚠️ oracle only (Autonomous DB) — read the caveats² | ✅ tunnel¹ | ❌ | ⚠️ register (Oracle connector, unverified live) |
MongoDB is provisioned on MongoDB Atlas, on whichever of AWS / Azure / GCP the row names, and can also be registered when self-hosted. See MongoDB Atlas. Entitle covers Atlas clusters only — see Layer 3.
¹ OCI has no dashboard-provisioned gateway — you supply your own (see the OCI section).
² The OCI module only started shipping in the image recently and has never completed a live
run; it also always provisions into oci_region. See OCI.
Everything is driven by Terraform from the job worker; deploy state is written to the active storage backend.
Architecture
This section describes a provisioned database. A registered one is reached however you already reach it — see Registering an existing database.
The database is private (publicly_accessible = false, or a public free-tier
Autonomous DB on OCI). The dashboard's backend has no direct network path to it — the
only way in is a BeyondTrust PRA protocol tunnel brokered through a shared, on-demand
gateway host that sits in (or peers into) the database's network.
operator / app dashboard backend (worker)
│ │ terraform apply (db module)
│ PRA client │ terraform apply (beyondtrust/sra: tunnel + Vault account)
▼ ▼
┌───────────┐ PRA protocol tunnel ┌────────────────┐ private net ┌───────────────┐
│ PRA │◄───────────────────────►│ Gateway host │◄───────────────►│ managed DB │
│ appliance │ (jump item) │ (per cloud) │ :5432/3306/ │ (private) │
└───────────┘ └────────────────┘ 1433/1521 └───────────────┘
The gateway host differs per cloud (Fargate/ACI can't do protocol tunneling, so AWS uses EC2 and Azure a VM):
| Cloud | Gateway host | Provisioned by the dashboard? |
|---|---|---|
| AWS | ECS-on-EC2 container instance (bt-jumpoint cluster) |
✅ on demand, ref-counted |
| Azure | privileged gateway container on an Azure VM (clouddb-jumpoint) |
✅ on demand, ref-counted |
| GCP | privileged gateway container on a Container-Optimized-OS GCE VM | ✅ on demand, ref-counted |
| OCI | compute instance in the VCN public subnet | ❌ operator must pre-create it (see OCI below) |
Per-engine tunnel resource (beyondtrust/sra provider, in
terraform_pra_service.py):
| Engine | Tunnel resource | Note |
|---|---|---|
| postgres | sra_postgresql_tunnel_jump |
proxies cleartext wire protocol |
| mysql | sra_my_sql_tunnel_jump |
proxies cleartext wire protocol |
| sqlserver | sra_protocol_tunnel_jump (tunnel_type=mssql) |
TDS-aware; does its own backend TLS |
| oracle | sra_protocol_tunnel_jump (tunnel_type=tcp) |
raw TCP port forward to the SQL*Net listener |
| mongodb | sra_protocol_tunnel_jump (tunnel_type=tcp) |
raw TCP port forward to one mongod |
A tcp tunnel is a port forward, not a protocol-aware tunnel: the dashboard sends
tunnel_definitions = "<port>;<port>" and tunnel_listen_address = "127.0.0.1", so the
client connects to 127.0.0.1 on the database's own port, and no username or database is
attached to the jump. PRA 26.3 adds dedicated Oracle and MongoDB tunnels (PRA already has a
MongoDB tunnel with an Auth Source field); the dashboard moves to them once the
beyondtrust/sra provider ships resources — its tunnel_type validator accepts only tcp
and mssql today. For MongoDB, connect with directConnection=true (the tunnel reaches one
server, not the replica set's SRV name) and tlsAllowInvalidHostnames=true (127.0.0.1 is
never the name on the server's certificate).
Because the Postgres/MySQL tunnels proxy cleartext, the DB is provisioned with TLS
made optional on the server side (rds.force_ssl=0 / require_secure_transport=OFF /
Cloud SQL ssl_mode=ALLOW_UNENCRYPTED_AND_ENCRYPTED). SQL Server and Oracle keep TLS on
because their tunnels terminate/forward TLS themselves. Oracle and MongoDB tunnels forward
bytes, so the database's own TLS passes straight through to the client.
The database name
The Name you give a database on the Provision form is slugified into the catalog
Terraform creates (My App DB → my_app_db; Oracle instead gets a deterministic
adb… name, capped at ADB's 14 characters). That catalog is recorded on the row, so
the Database column on the Databases page and the database: line in the
Connection dialog show it without depending on the provisioning job still existing —
which also gives the Entitle cloud-function adapter
something to scope its grants to (FN_DB_NAME).
Two engines read differently:
- SQL Server — you connect to the
mastersystem database. On RDS that is all there is (the module omitsdb_name; see AWS below), so the column showsmaster. On Azure/GCP a real catalog is created as well, and the page shows both — the catalog, withvia masterbeneath it. - Registered databases show whatever was recorded at registration,
(not set)if nothing was. SQL Server falls back tomaster.
Pages
The tasks have a page each:
| Page | Read it when |
|---|---|
| Provisioning a cloud database | you are standing up a managed database on AWS, Azure, GCP, OCI or MongoDB Atlas, and want each engine's and each cloud's specifics |
| Registering an existing database | you already run a database, in a cloud or on-premises, and want the dashboard to manage access to it |
| Importing databases from Password Safe | the databases are already managed systems in Password Safe and you want them here without typing each one in |
| Troubleshooting cloud databases | a database will not provision, register, onboard into Password Safe or open through PRA |
Layer 1 — PRA access (shared prerequisites, all clouds)
Before any provisioned database will get a working tunnel, configure PRA once under Settings → Integrations → Privileged Remote Access:
- PRA appliance + OAuth API account →
bt_api_host,bt_client_id,bt_client_secret(used by the SRA Terraform provider to create the tunnel). - A pre-existing Asset Group and Gateway in PRA →
bt_jump_group_name,bt_jumpoint_name. The dashboard does not create these. - The Gateway Docker deploy key, pasted in (config key is per cloud — see each section). Without it the shared gateway host can't start and the tunnel shows Unavailable in PRA.
Each provision can override the Asset Group / Gateway / PRA credential per database
(the jump_group, jumpoint_name, pra_credential_ref form fields); otherwise the
bt_* defaults apply. (The per-cloud *_bt_jump_group_name / *_jumpoint_name keys
are for PRA Shell Jumps, not the DB tunnel.)
Also enable the Databases feature toggle (cloud_database_enabled) — it gates
registration as well as provisioning.
Layer 2 — Password Safe (AWS + Azure + GCP)
Optional. When enabled (clouddb_ps_onboarding_enabled), provisioning an AWS,
Azure or GCP database additionally hands rotation of a database credential to
Password Safe and keeps the PRA-vaulted credential in sync. OCI is not supported —
those databases provision and get a tunnel, but no Password Safe onboarding. GCP covers
PostgreSQL and MySQL only, and ships off — see that section for both reasons.
The mechanism, the functional-account rules and the per-cloud setup are under Password Safe:
| Channel | Page |
|---|---|
| The shared model: the two ways in, the functional account, importing | Password Safe: databases |
AWS (dbssm, Systems Manager on the ECS gateway host) |
Password Safe: AWS databases |
Azure (dbazure, Run Command on the jump VM) |
Password Safe: Azure databases |
GCP (dbgcp, Cloud SQL Data API) |
Password Safe: GCP Cloud SQL |
Oracle on RDS: the native platform
Oracle uses no plugin. It onboards on Password Safe's own Oracle platform, and the Resource Broker serving the asset's workgroup connects to the listener itself — so that broker must be able to reach the database on 1521. The dashboard creates the Password Safe objects; the network path from the broker is yours.
- Managed user. Over SSM to the shared gateway host, the dashboard runs sqlplus (Oracle's
Instant Client image,
ghcr.io/oracle/oraclelinux9-instantclient:23, overridable withclouddb_db_client_image_oracle) and creates or resetspsafe_<id>withCREATE SESSIONonly. - Functional account. The RDS master user, minted on the Oracle platform per database
(
createmode). Inreferencemode,clouddb_ps_functional_account_native_oraclenames an account you created on that platform. - Objects. An asset (the endpoint's DNS name and the IP it resolves to — an RDS
endpoint resolves to its private address from anywhere), a database on it (platform,
the PDB service name, port 1521), a managed system over that database, and the
managed account — which rotates itself (
use_own_credentials), so the functional account never alters anyone else. A failed apply rolls back what it created. - PRA Vault sync works as for every other engine: the tunnel's vaulted credential is the managed user, mirrored on the PRA Vault platform.
| Key | Default | Notes |
|---|---|---|
clouddb_ps_native_workgroup |
— | Workgroup whose Resource Broker reaches the DB; blank → clouddb_ps_workgroup |
clouddb_ps_platform_native_oracle |
Oracle |
The built-in platform's name in your tenant |
clouddb_ps_functional_account_native_oracle |
— | reference mode only |
Not covered: OCI Autonomous DB (no way here to run SQL on it to create the managed user) and MongoDB Atlas (Atlas changes database users only through its Admin API, which no Password Safe platform uses; a custom plugin is the path).
Layer 3 — Entitle (just-in-time access)
Optional. Onboard a provisioned database into BeyondTrust Entitle as its own
integration, so users request just-in-time access to it instead of holding a standing
credential. Gated by entitle_registration_enabled plus a per-provision
"Register in Entitle" toggle, and there is a post-provision Register in Entitle
button (job clouddb_entitle_register) for a database provisioned earlier — plus, for
MySQL and SQL Server, a Function (DB grant) button that deploys the adapter those two
engines need (see below). This layer
needs the provisioning job's admin credential, so a
registered database is not offerable — the button is
hidden and the API refuses it with a 400. Teardown
deregisters on decommission. Full Entitle setup (owner, workflow,
durations, the agent) lives in the Entitle integration doc.
The account model is per engine:
| Engine | Entitle account model | Notes |
|---|---|---|
| PostgreSQL | Ephemeral (JIT) accounts — proven | Entitle mints a short-lived role per grant. The connector config uses user (not username) + a required options{} block, no top-level database. |
| SQL Server | Ephemeral accounts | Only on Entitle-viable providers — Azure SQL Managed Instance / AWS RDS Custom. Managed Cloud SQL / RDS-standard / Azure SQL Database are refused (_entitle_viable) because the connector needs sysadmin/CONTROL SERVER they can't grant. Requires a version field (default 2019, entitle_sqlserver_version). |
| MySQL | Persistent roles (not ephemeral) | Entitle's MySQL connector assigns persistent roles rather than minting accounts. |
| Oracle | Ephemeral accounts — not yet proven live | Entitle's "Oracle Database" connector. Its config says username (not user) and needs service_name, which must name a PDB — Entitle manages pluggable databases only. Autonomous DB sends protocol = "tcps" (its no-wallet listener is TLS-only). The connector wants a SYSDBA or DBA-role account. On RDS the default oracle-se2-cdb engine makes the service a PDB, and the master user is expected (not yet verified live) to carry the DBA role it needs. |
| MongoDB (Atlas) | Ephemeral database users — not yet proven live | Entitle's Atlas MongoDB integration, an API-key integration scoped to the cluster's own Atlas project: public_key / private_key / project_id plus options.connect_to_clusters. It uses a separate Atlas programmatic API key with Organization Owner (Settings → Entitle → Atlas MongoDB connector), not the provisioning service account. Entitle's egress IPs must be on that key's API access list (set once in Atlas) and on each cluster's access list (atlas_extra_access_cidrs). No Entitle agent is used. Self-hosted MongoDB is refused: there is no database-login Mongo connector. |
Reachability. Because dashboard DBs are private, Entitle reaches them through the
shared Entitle agent (entitle_agent_token_name; provisioned on Kubernetes, one per
VPC) — registration raises if it isn't configured for a private target. AWS RDS is
reachable directly from the agent; GCP Cloud SQL is not (the agent's GKE VPC can't
reach Cloud SQL's private IP over non-transitive peering), so the dashboard stands up an
on-demand socat forwarder in the sandbox VPC and points Entitle at it — enable it with
gcp_entitle_db_proxy_enabled. The forwarder is placed in the database's own region
(zone and db_network from that region's config set), because the Cloud SQL private IP it
relays to is only reachable from there.
Entitle here is independent of Password Safe (Layer 2): a DB can be registered in Entitle whether or not Password Safe manages its credential. The two solve different problems — Entitle governs who gets in and for how long; Password Safe governs the credential's lifecycle.
MySQL and SQL Server: the db_grant adapter
Two of the three engines above cannot do just-in-time accounts through Entitle's native
connector at all — MySQL's assigns persistent roles and never mints one, and managed SQL
Server never grants the sysadmin/CONTROL SERVER its connector needs. For those, the
dashboard deploys a db_grant Cloud Function adapter beside the database, which
implements Entitle's Remote Adapter contract and runs the SQL itself from inside the
VPC/VNet.
The row's Function (DB grant) action deploys one (job clouddb_adapter_pair, gated by
cloud_functions_enabled plus the cloud_function:write permission). Everything is
derived from the database row — its cloud, its region, a name from its id, its
host/port/catalog, and its admin credential staged as a reference into the cloud's own
secret store. The function lands in the database's own region, which it must: it
reaches a private endpoint over the VPC, and subnets are regional. Functions are regional
resources, so there is no zone to match; a region with no per-region config set is refused
rather than deployed onto the default region's network.
Unlike the provision-time pairing, the row action deploys the adapter ready to act
(FN_DB_DRY_RUN=0). That does not mean the adapter creates accounts — it initiates
nothing. It is an HTTP endpoint behind a fail-closed bearer gate that only the Entitle
integration holds, it schedules nothing, and it only ever touches accounts it minted
itself. Entitle owns the lifecycle: an account is created when a request is approved
and dropped when the access ends. Dry run is therefore not the safer setting for a working
integration — it makes an approved request silently do nothing. Once one exists the action becomes a DB grant ✓ badge; delete the
function on the Cloud Functions page to redeploy. The action is hidden for a database that
cannot take an adapter: Postgres and Oracle (the native connector works), a registered
database (no stored admin credential), an on-premises one (no cloud secret store), and one
with no recorded catalog to scope grants to. Full detail in
Cloud Functions.
Workstreams (who can see a database)
A database with no workstream is visible only to whoever created it, plus administrators. That is how every database provisioned or registered before this field existed still behaves, and it is why adding the field granted and revoked nothing.
Assign one and the whole workstream can see and manage it:
- At creation — the Workstream select on the provision form and on Register existing. Optional; blank leaves the row creator-scoped. You may only pick a workstream you are a member of, because the workstream rule outranks the creator rule: tagging your own database into a workstream you are not in would hide it from you.
- Afterwards — the Workstream button on the row, administrators only. This is the only way an existing database gets one. Clearing it returns the database to its creator.
Retagging is admin-only because it is a transfer, not a filter. Everyone in the chosen
workgroup gains the row in /api/databases, every by-id action on it (connection details,
decommission, Entitle and Password Safe registration), the ability to run
Config Management against it, and the ability to change its
auto-delete timer. The person who loses it is not in the dialog.
Not the same as a Password Safe workgroup. Password Safe has its own, unrelated notion of a workgroup, which this page also mentions:
clouddb_ps_import_workgroupnarrows the import candidate list (see Importing from Password Safe). That one names a container in Password Safe. This one names a set of dashboard users. They are never the same value and neither is derived from the other.
See Permissions for how workgroups sit alongside permission scopes.
Lifecycle (provision, register, decommission)
- Provision: from the Databases page, pick engine + cloud + region and (when
PRA is configured) an Asset Group / Gateway. The record + admin credential are created
synchronously; the
terraform apply, tunnel brokering, and any Password Safe onboarding run in the job worker as a background job. - Register: from the Databases page, Register existing → engine, location, host and
a Password Safe managed account. The row is created synchronously with status
available; there is no job, because there is nothing to build. - Deregister: removing a registered row deletes the row only — no Terraform, no PRA or Password Safe teardown, because there was never anything to tear down.
- Decommission: tears down the PRA tunnel + Vault account, any Layer-2 Password Safe
managed systems + functional accounts, any Layer-3 Entitle integration (+ the GCP
forwarder), the database instance, and then the JIT adapter — its Cloud Function,
that function's Entitle integration, and the admin credential staged for it in the
cloud's own secret store (
dashboard-clouddb-<id>-adminon GCP,dashboard/clouddb-…in AWS Secrets Manager,clouddb-…in Key Vault). Errors accumulate rather than being swallowed, so an orphaned tunnel/vault/instance is visible. A leftover credential fails the job — it is a live database admin password — while a leftover adapter function is reported as a warning, since it holds no credential and has its own Delete on the Cloud Functions page. A database that was never paired has nothing to retire and records neither.