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Understand what the Azure Terraform modules provision and how the pieces fit together, so you can size, secure, and customize your LangSmith deployment before running make apply. Use this page as a reference while planning a rollout or troubleshooting an existing one. It covers:
  • Platform layers and deployment tiers (light versus production).
  • Application deployment paths (Helm versus Terraform).
  • Networking, Workload Identity, and secret flow.
  • Add-ons: LangSmith Deployment, Agent Builder, Insights, and Polly.
  • Ingress controllers, resource sizing, and optional modules.
If you are ready to install, start with the deployment walkthrough.

Platform layers

LangSmith on Azure deploys in stages. Each stage adds a capability layer on top of the previous. All layers share the same AKS cluster and langsmith namespace. LangSmith on Azure service layout

Application deployment paths

The Terraform path uses the app/ module. make init-app calls app/scripts/pull-infra-outputs.sh to read all infra outputs and write them into app/infra.auto.tfvars.json.

Deployment tiers

Light deploy (all in-cluster)

Set in terraform.tfvars:
For the full all-in-cluster walkthrough (NGINX with Let’s Encrypt HTTP-01 TLS, all-in-cluster DBs), see BUILDING_LIGHT_LANGSMITH.md in the Azure module repo.

Production (external managed services)

Networking

Light deploy

Production

All subnets are private. Postgres and Redis have no public endpoints; both are accessible only from within the VNet via private DNS resolution.

Application core services

In-cluster ClickHouse is dev/POC only (single pod, no replication, no backups). For production use LangChain Managed ClickHouse or a self-managed external cluster.
SmithDB is LangSmith’s purpose-built observability backend, available for Self-hosted starting with self-hosted version 0.16.0 (see deployment support). These Terraform modules provision ClickHouse, so the guidance in the previous sections applies to current deployments.

One-time jobs

LangSmith Deployment add-on

Agent Builder add-on

Insights and Polly add-on

Insights/Clio: No static pods. Deploys lazily as a dynamic LangGraph deployment via the operator on first UI invocation. Reads insights_encryption_key from langsmith-config-secret. Never rotate this key: it permanently breaks existing Insights data. Polly: Runs as a dynamic LangGraph deployment, operator-managed. Reads polly_encryption_key from langsmith-config-secret. Same rotation warning as Insights.

Azure managed services

When postgres_source = "external" and redis_source = "external" (the recommended production setting), Terraform provisions:

Azure DB for PostgreSQL Flexible Server

  • Holds orgs, users, projects, API keys, settings.
  • PostgreSQL ≥ 14 required. The postgres module sets postgres_version to 14 by default.
  • Extensions enabled automatically by the postgres module: btree_gin, btree_gist, pgcrypto, citext, pg_trgm.
  • Private VNet only (subnet-postgres), SSL port 5432.
  • Secret: langsmith-postgres-secret, created by the k8s-bootstrap Terraform module.

Azure Managed Redis

  • Trace ingestion queue, pub/sub, short-lived cache.
  • Azure Managed Redis manages the engine version; there is no version variable to set.
  • Each LangSmith installation must use its own dedicated Redis. Shared instances cause deployment tasks to route incorrectly.
  • Private VNet only (subnet-redis), TLS port 10000.
  • Secret: langsmith-redis-secret, created by the k8s-bootstrap Terraform module.

Azure Blob Storage

  • Trace payloads: large inputs and outputs, attachments.
  • Workload Identity (no static keys) via the k8s-app-identity Managed Identity.
  • Always required. Disabling blob storage breaks the cluster on large payloads.
  • Prefixes: ttl_s/ (14-day TTL), ttl_l/ (400-day TTL).

Azure Key Vault

  • Centralized secret store for all LangSmith secrets.
  • Secret flow: az keyvault secret showkubectl create secret generic langsmith-config-secret.

Workload Identity

Azure AD token exchange happens via the AKS OIDC issuer. Pods access Blob Storage without static keys.
Workload Identity is centralized in modules/k8s-cluster/ alongside the managed identity and OIDC issuer, which avoids circular dependencies and simplifies adding new ServiceAccounts.

Which pods need Workload Identity

Every pod that reads blob storage env vars must have:
  1. A federated credential registered in Terraform (modules/k8s-cluster/main.tf).
  2. The azure.workload.identity/use: "true" label on the Deployment.
  3. The azure.workload.identity/client-id annotation on the ServiceAccount.
All federated credentials are registered in modules/k8s-cluster/main.tf under service_accounts_for_workload_identity. Adding a new pod that accesses blob storage requires adding its ServiceAccount name to that list and running terraform apply -target=module.aks. If a pod’s ServiceAccount has no registered federated credential, Azure AD rejects the token exchange and the pod panics on startup:

Secret flow

Key rule: secrets.auto.tfvars is never committed. Running ./setup-env.sh on any machine restores it: the generated secrets come from Key Vault, and the user-provided secrets are re-prompted unless supplied through the LANGSMITH_* environment variables. Terraform is the sole writer to Key Vault; setup-env.sh only reads from it after the first apply.

Ingress options

Azure Public IP DNS labels (dns_label) work with all controllers. deploy.sh applies the service.beta.kubernetes.io/azure-dns-label-name annotation to the correct LoadBalancer service based on the chosen controller. For the full TLS compatibility matrix and per-controller setup, see INGRESS_CONTROLLERS.md in the Azure module repo.

Resource sizing

Four sizing profiles are available.

AKS node pools

ClickHouse (when in-cluster) requests 1 to 4 CPU and 2 to 16 GB RAM depending on profile. With LangChain Managed ClickHouse, the large pool is only needed for LGP operator-spawned agent pods.

Optional modules

Each module is count-controlled (0 disabled, 1 enabled). Enable any combination; the core deployment (Passes 1 to 5) works without them.