In modern software development, our data is rarely monolithic. We rely on a mix of SQL, NoSQL, and graph databases, distributed across different environments to power microservices and specialized applications. Managing a single database instance can be straightforward, but as your architecture grows, so does the complexity. Juggling different credentials, monitoring dashboards, and scaling procedures for each data resource quickly becomes a significant operational burden.
What if we shifted our perspective? Instead of thinking about a single database, what if we could manage our entire collection of databases as a single, cohesive unit?
This is the core principle behind databases.do, an agentic workflow platform that empowers you to manage your entire data fleet as code. It's about moving from manually tinkering with individual instances to programmatically commanding your data resources at scale.
Think about the typical workflow for managing multiple databases:
This approach doesn't scale. It's inefficient, error-prone, and distracts your team from building features.
The "as Code" movement revolutionized how we handle infrastructure (IaC) and configuration (CaC). databases.do brings this same transformative power to your data layer. It's built on a simple yet profound idea: Your Data, Managed as Code.
Instead of clicking through UIs, you define, provision, query, and scale your distributed databases through a single, powerful API. This allows you to transform complex, multi-step data operations into simple, repeatable workflows that can be version-controlled, peer-reviewed, and automated.
To understand the power of this approach, it's crucial to distinguish between the single instance and the collection.
databases.do provides the unified API and agentic workflows to perform operations across your entire fleet at once. It abstracts away the underlying infrastructure complexity, whether your databases are SQL, NoSQL, or graph databases from different providers.
Imagine you need a quick inventory of all production databases. Instead of a frantic scavenger hunt through documentation and dashboards, you can run a simple, elegant script.
import { databases } from '@do/sdk';
// List all databases within your project
async function listAllDatabases() {
try {
const allDbs = await databases.list();
console.log('Available Databases:', allDbs);
return allDbs;
} catch (error) {
console.error('Failed to retrieve databases:', error);
}
}
listAllDatabases();
With a few lines of code, you have a complete, real-time list of your data resources. This is just the beginning. The same unified API access can be used to apply a configuration change to all staging databases, provision a new set of data resources for a feature branch, or check the health of your entire data fleet.
Adopting a "database as code" philosophy with databases.do unlocks powerful advantages for your engineering team.
Ready to stop managing instances and start commanding your fleet? Getting started with databases.do is simple.
The future of data architecture is distributed and heterogeneous. The only sane way to manage this complexity is through abstraction and automation. By treating your database collections as code, databases.do gives you the control and confidence you need to build, scale, and innovate faster.