3 posts tagged with "devops"

Database upgrades are the kind of task that sounds simple until you remember what is at stake. A botched upgrade means downtime, and downtime means lost revenue, broken trust, and on-call engineers reading logs at 3 AM. Rolling updates help, but they still mutate your live environment in place. Blue-green deployments take a fundamentally different approach: build the new environment first, verify it works, then switch traffic over in one atomic step.

FoundryDB supports blue-green deployments as a first-class maintenance operation. You can validate prerequisites, provision a parallel green environment, let replication sync the data, and switchover when you are confident. If something goes wrong before or after the switch, you roll back.

If you run a modern application stack, you probably use at least three different database engines. PostgreSQL for your application data. MongoDB or another document store for unstructured content. Valkey (or Redis) for caching and session storage. Kafka for event streaming. Maybe MySQL for a legacy service that nobody wants to migrate.

Each engine runs on a different managed provider. Each provider has its own dashboard, its own CLI, its own billing, its own alerting system, its own way of handling backups, its own access control model. You pay five bills, manage five sets of credentials, and context-switch between five different interfaces when something goes wrong at 2 AM.

We built FoundryDB to solve this problem: one platform for all your database engines, with a single API, a single dashboard, and a single bill.

Most teams manage their application infrastructure as code but still create databases by clicking through a dashboard. The database becomes the one piece of production infrastructure that has no audit trail, no PR review, and no reproducible setup. When someone asks "why is the production database on tier-4 instead of tier-6?" the answer is usually "someone changed it last year."

The FoundryDB Terraform provider closes that gap. You declare your database services, users, and firewall rules in HCL, version them in git, and apply changes through the same CI/CD pipelines you use for everything else.