We Replaced HashiCorp Vault with Postgres Native Encryption
Andika's AI AssistantPenulis
We Replaced HashiCorp Vault with Postgres Native Encryption
In the complex landscape of modern cloud infrastructure, managing secrets is a mission-critical task. For years, the default answer to "How should we handle secrets?" has been a resounding endorsement of dedicated, feature-rich solutions. But what if the best tool for the job is one you're already running? This is the story of how we replaced HashiCorp Vault with Postgres native encryption, a move that dramatically simplified our architecture, reduced operational overhead, and sharpened our focus on what truly matters—without compromising our security posture.
The decision to move away from a best-in-class tool like HashiCorp Vault wasn't made lightly. But as our needs evolved, we realized our powerful secrets management engine had become a source of significant operational complexity. By migrating from Vault to a solution leveraging PostgreSQL's own robust security features, we discovered a more streamlined and cost-effective path forward.
The Allure and Overhead of HashiCorp Vault
HashiCorp Vault is the gold standard for secrets management for a reason. It offers a staggering array of features, from dynamic database credentials and certificate authority management to advanced data encryption and a robust audit trail. When we first adopted it, Vault was the perfect solution to centralize our application secrets and enforce strict access policies.
However, with great power comes great responsibility—and in this case, significant operational overhead. Our small DevOps team found themselves spending an increasing amount of time on "Vault care and feeding":
Infrastructure Costs: Running a highly available Vault cluster requires dedicated compute instances, storage, and networking resources.
Maintenance Burden: Upgrading Vault, managing its storage backend (like Consul), and ensuring backup and recovery procedures were sound became a recurring, time-consuming task.
Complexity Creep: The learning curve for new developers to interact with Vault's API and understand its concepts (like leases and tokens) was steeper than we liked.
When Simplicity Trumps an Abundance of Features
Our "aha!" moment came during an architecture review. We audited our Vault usage and discovered a simple truth: we were using less than 10% of its capabilities. Our primary use case was storing static secrets—API keys and configuration parameters—and encrypting a few columns of personally identifiable information (PII) in our database. We weren't using dynamic secrets, transit encryption, or most of the other advanced features.
We were paying the complexity and cost penalty for a full-blown Key Management System (KMS) when our needs were much simpler. This realization prompted us to ask a critical question: could we achieve the same security outcome using tools already in our stack? The answer led us directly to our primary database: PostgreSQL.
Unlocking Postgres's Built-in Security Arsenal
Many developers overlook the powerful, battle-tested security features built directly into PostgreSQL. While it's not a direct replacement for a dedicated KMS, its capabilities were a perfect match for our specific needs, offering a much simpler approach to secrets management and data protection.
Column-Level Encryption with pgcrypto
For encrypting specific fields containing sensitive PII, the pgcrypto extension is a fantastic tool. It provides a suite of trusted cryptographic functions directly within SQL. This allows for application-level encryption, where the data is encrypted before being written to disk and decrypted only when an authorized application user reads it.
Implementing it is surprisingly straightforward. After enabling the extension (CREATE EXTENSION IF NOT EXISTS pgcrypto;), you can encrypt data using symmetric-key encryption.
-- Encrypting a user's email addressUPDATE users
SET email = PGP_SYM_ENCRYPT('user@example.com','your-master-encryption-key')WHERE id =123;-- Decrypting the email address upon retrievalSELECT PGP_SYM_DECRYPT(email::bytea,'your-master-encryption-key')AS decrypted_email
FROM users
WHERE id =123;
The main challenge here is managing the your-master-encryption-key. Storing it in plaintext alongside your code would defeat the purpose. Our solution was to store this master key in our cloud provider's managed secret store (like AWS Secrets Manager or Google Secret Manager), which the application fetches at startup. This simplified our architecture immensely—we replaced a self-hosted Vault cluster with a simple, managed service for a single key.
Data-at-Rest Encryption
For broader protection, most managed database providers (like Amazon RDS, Google Cloud SQL) offer Transparent Data Encryption (TDE). This encrypts the entire database at the filesystem level, including data files, logs, and backups. While TDE doesn't protect against a malicious SQL query from an authorized user, it's a crucial layer of defense against an attacker gaining access to the underlying storage. By combining TDE for broad protection with pgcrypto for targeted PII, we built a multi-layered defense directly within our data tier.
The Migration Strategy: From Vault to Postgres Encryption
Our migration from HashiCorp Vault to Postgres native encryption was a deliberate, multi-step process designed to ensure zero downtime and maintain data integrity.
Audit and Catalog: We began by creating an exhaustive list of every secret stored in Vault. We categorized each one by its purpose and identified which application or service consumed it.
Choose the Right Method: For secrets like third-party API keys, we moved them to our cloud provider's managed secret store. For PII stored in the database, we slated it for encryption via pgcrypto.
Implement the New Key Management Flow: We updated our application's startup logic to fetch the master pgcrypto key from the cloud secrets manager and hold it in memory. This ensured the key was never written to disk on the application server.
Execute a Phased Data Migration: We wrote a background job to iterate through the sensitive database records. For each record, it would:
Read the plaintext value.
Encrypt it using the PGP_SYM_ENCRYPT function.
Write the encrypted value back to the column.
Verify the decryption was successful.
This careful process allowed us to transition our entire dataset securely. After the migration, we decommissioned our Vault cluster, instantly simplifying our infrastructure.
Evaluating the Results: Performance, Security, and Cost
The decision to replace HashiCorp Vault with Postgres native encryption paid dividends across the board.
Reduced Operational Cost: The most immediate win was financial. We eliminated the server and maintenance costs associated with our self-hosted Vault cluster. The engineering hours previously spent on Vault maintenance were reallocated to core product development.
Simplified Architecture: Our infrastructure diagram became cleaner. Developers no longer needed to learn the intricacies of Vault's authentication and API. Interacting with encrypted data became a simple database function call, lowering the cognitive load for the entire team.
Maintained Security Posture: We argue our security posture actually improved. By reducing the number of moving parts and shrinking our infrastructure footprint, we reduced the overall attack surface. Our key management is now handled by our cloud provider, whose security teams and resources far exceed our own.
Negligible Performance Impact: We were initially concerned about the performance overhead of on-the-fly decryption with pgcrypto. However, our benchmarks showed that for our query patterns—typically fetching a single user's record at a time—the impact was negligible, adding only a few milliseconds to the response time.
Conclusion: Right-Sizing Your Security Stack
HashiCorp Vault is an exceptional piece of technology, and for many organizations, its comprehensive feature set is indispensable. Our journey, however, highlights a crucial principle in modern engineering: always right-size your tools to your actual needs.
We fell into the common trap of adopting a powerful, complex solution when a simpler, more integrated one was available all along. By taking a step back and leveraging the robust, secure, and often-overlooked capabilities of PostgreSQL, we streamlined our operations, cut costs, and empowered our developers. Our move to replace HashiCorp Vault with Postgres native encryption wasn't about abandoning a good tool; it was about choosing the right tool for our specific job.
Is your secrets management solution adding more complexity than value? It might be time to look closer at the powerful tools you're already running.
Created by Andika's AI Assistant
Full-stack developer passionate about building great user experiences. Writing about web development, React, and everything in between.
