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Using Doppler with terraform: secrets management for infrastructure as code. Audyense research team·August 5, 2026 A common Terraform anti-pattern is hardcoding secrets - database passwords, API keys, cloud credentials - directly into .tfvars files or variable defaults, where they're readable by anyone with repo access and often end up committed to version control. Doppler, a secrets manager Audyense track in the DevOps category, publishes an official Terraform provider built to fetch secrets at plan/apply time instead of storing them in your codebase. This is a practical walkthrough of how that provider actually works, verified against Doppler's own documentation. The official provider. Doppler maintains DopplerHQ/doppler on the Terraform Registry, and it's fully compatible with OpenTofu as well. It exposes both data sources (for reading existing secrets) and resources (for managing Doppler's own configuration as code): * Data sources: doppler_secrets to fetch all secrets from a given Doppler config; doppler_user to map to existing Doppler users. * Resources: doppler_secret to create, update, or delete individual secrets; doppler_project, doppler_environment, and doppler_config to manage Doppler's organizational structure as code; doppler_service_token to manage access tokens; doppler_group and doppler_group_member for access control; and doppler_integration_* / doppler_secrets_sync_* resources for wiring up Doppler's syncs to other platforms. Basic setup: reading secrets into a Terraform run. The core pattern for most teams is read-only: create a service token in Doppler scoped to a single config, then use it to pull secrets into Terraform without ever writing them to a file. * In Doppler, create a Service Token with read-only access to the specific project and config (e.g. production) you want Terraform to read from. * Configure the provider block, referencing the token via a variable rather than a literal string: provider "doppler" {doppler_token = var.doppler_token} * Reference the doppler_secrets data source to pull the config's secrets into your Terraform run, then use its output in resources that need them - a database resource's password argument, for example - instead of a hardcoded variable. The alternative: no provider, just the CLI. If you don't want to add a provider dependency at all, Doppler's own docs recommend a CLI wrapper pattern instead: run doppler run -name-transformer tf-var - terraform plan. This injects your Doppler secrets as environment variables, automatically transformed into the naming convention Terraform expects for variables, without touching your Terraform configuration at all. It's the simpler option for a team that just wants secrets available at runtime and doesn't need to manage Doppler's own structure (projects, environments, access) as Terraform-managed infrastructure. An important caveat: this doesn't replace state encryption. Fetching secrets via the doppler_secrets data source keeps them out of your .tf files and version control - but the fetched values can still be written into Terraform's state file, since state records the full resolved configuration of everything Terraform manages. Using Doppler's provider is not a substitute for a securely encrypted, access-controlled remote state backend; it solves "don't hardcode secrets in code," not "don't ever let secrets land in state." Both practices are necessary, and neither replaces the other. Provider vs. CLI wrapper: which to use. * Use the provider when you also want to manage Doppler's own structure (projects, configs, service tokens, integrations) as part of your infrastructure-as-code, or when other Terraform resources need to directly reference secret values as resource arguments. * Use the CLI wrapper when you just need secrets available as environment variables for a Terraform run and don't want an extra provider dependency - it's less setup for the common case. Why Doppler specifically, versus a tool like Vault. Doppler's own review data (4.8 rating across 62 reviews on G2 and TrustRadius) consistently cites ease of setup - reviewers report integrating Doppler across CI/CD and deployment platforms in under a day - and predictable per-seat pricing as the draw versus a consumption-billed alternative like HashiCorp Vault. The tradeoff is depth: Doppler doesn't offer Vault-grade dynamic secrets or self-hosting outside a custom-priced Enterprise contract, and its free Developer tier caps activity-log retention at just 3 days. For a small-to-mid-size engineering team that wants centralized secrets without running its own infrastructure, that's usually the right trade; a large enterprise with dynamic-secrets or self-hosting requirements should evaluate Vault directly instead. Frequently asked questions. Does the Doppler Terraform provider replace a secrets backend like Vault? No - it fetches secrets from Doppler into a Terraform run; it isn't a Terraform state backend or a dynamic-secrets engine. Doppler and Vault solve overlapping but distinct problems, and some teams reasonably use both for different purposes. Is the CLI wrapper or the provider more secure? Neither is inherently more secure - both avoid hardcoding secrets in your Terraform files. The CLI wrapper never gives Terraform direct API access to Doppler, which some teams prefer as a smaller blast radius; the provider is more capable if you need Doppler's own structure managed as code. Continue your research.

Doppler brings secrets management on-prem for full control. Jun 08, 2026, 09:14 ET All the simplicity of Doppler within your own infrastructure. SAN FRANCISCO, June 8, 2026 /PRNewswire/ - Run Doppler on your terms Doppler announced today the launch of its On-prem deployment option, enabling Enterprise organizations to run Doppler entirely within customer-managed infrastructure. This initial release focuses on core secrets management workflows for environments where external SaaS services are not permitted. Doppler On-prem brings modern secrets management to organizations that require customer-managed infrastructure. Secrets, access patterns, and backups remain within customer-controlled infrastructure to support data residency requirements, compliance obligations, and network isolation. Control without compromise Familiar developer workflows carry over to self-hosted environments, adapted for on-prem constraints. Security and platform teams maintain full control, while developers continue to manage secrets across services without added complexity. "In nearly every enterprise conversation this year, customers describe the same challenge: AI and regulatory pressure are pushing parts of their business into environments their current tooling isn't well equipped for." said Amber Britton, CEO at Doppler. "They want to bring Doppler to come with them. On-prem is how we meet that - the same platform, the same developer experience, now available wherever their most sensitive workloads need to run." The platform is packaged for consistent deployment across environments and designed to integrate with existing infrastructure. This makes it easier to adopt without having to rethink how your systems are provisioned or operated. Built for enterprise environments Doppler On-prem is designed to give organizations full control over how secrets are managed within their own infrastructure, while keeping everything within their environment. By aligning with existing systems and deployment models, teams can adopt modern secrets management while maintaining their security, compliance, and operational standards. Built-in support for encryption, controlled upgrades, and customer-managed services ensures predictable, secure operation over time, allowing organizations to meet strict requirements without sacrificing usability. "Across the software companies we work with, the signal is consistent: enterprise customers are asking for more deployment flexibility, not less. Doppler is responding to that directly. We've seen the platform's quality firsthand as customers, and we're glad to partner with them on bringing it into on-prem environments." - Replicated CEO, Grant Miller Doppler On-prem is available for Enterprise organizations that need ownership over how and where their secrets are managed. Ready to learn more? Contact us to get started. Doppler Doppler eliminates secret sprawl, automates secret rotation, and enforces security best practices without slowing teams down. Security professionals gain audit logs, anomaly detection, and compliance tools, while DevOps automates CI/CD syncs, infrastructure integrations, and secret versioning. Protect data, prevent leaks, and ensure reliability so teams can focus on innovation, not secrets management. SOURCE Doppler