As applications grow in complexity and user base, so does the data infrastructure that supports them. What starts as a single, manageable database often evolves into a distributed collection of SQL, NoSQL, and specialized data stores. This growth introduces significant challenges: configuration drift, inconsistent environments, operational overhead, and the daunting task of scaling multiple systems simultaneously. How can engineering teams tame this complexity and scale with confidence?
The answer lies in a paradigm shift: treating your databases like software. By embracing the "Database as Code" methodology, you can transform complex, manual data operations into simple, automated, and repeatable workflows.
This is the core principle behind databases.do, an agentic workflow platform that empowers you to provision, query, and scale collections of data resources through a single, powerful API.
Managing a single database instance has its own set of tasks. Managing a fleet of them is an entirely different beast. Teams often grapple with:
These challenges don't just slow down development; they introduce significant risk and operational fragility.
Infrastructure as Code (IaC) revolutionized how we manage servers and networks. "Database as Code" applies the same proven principles to your data layer. By defining your database clusters, schemas, configurations, and permissions in version-controlled code, you unlock powerful benefits:
While the principles of "Database as Code" are powerful, implementing them from scratch is a significant undertaking. This is where databases.do comes in. As a "Services as Software" platform, it provides the unified API and agentic workflows needed to manage entire collections of data resources.
It's important to understand the distinction: database.do (singular) might refer to a single data instance. databases.do (plural) refers to the management of the entire collection. It’s the control plane for your whole data fleet, enabling you to perform operations across multiple resources at once.
With databases.do, you move from managing individual instances to orchestrating your entire data ecosystem through code.
Imagine needing a quick list of every database running in your project, regardless of type or location. Instead of complex scripts or dashboard-hopping, you can run a simple command.
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();
This simple example showcases the power of abstracting away complexity. One command gives you a unified view of all your data resources, a core best practice for effective database management.
Here's how you can leverage databases.do to implement best practices for scaling your data infrastructure.
Stop writing bespoke scripts for each database technology. Use the databases.do unified API access to query, configure, and manage all your resources. This standardizes your operations and dramatically reduces the cognitive load on your team.
Store your database cluster definitions, user roles, network rules, and scaling policies as code in a Git repository. This creates a single source of truth, enabling peer reviews for infrastructure changes and providing a complete audit trail.
Leverage the platform's agentic workflows to build powerful automations. Create workflows that can:
Your data needs will evolve. The databases.do platform is designed to be extensible, allowing you to integrate with various SQL, NoSQL, and graph databases via drivers. This ensures you can adopt the best tool for the job without fragmenting your management and operational workflows.
Q: What is databases.do?
A: databases.do is an agentic workflow platform that allows you to manage collections of data resources as code. It provides a unified API to provision, query, and scale multiple databases, abstracting away the underlying infrastructure complexity.
Q: How is this different from database.do?
A: database.do refers to a single data resource or instance. databases.do refers to the management of a collection of these resources, allowing you to perform operations across multiple databases at once, like listing all available databases or applying a configuration change to a group of them.
Q: What types of databases can I manage?
A: The .do platform is designed to be extensible. You can manage various types of databases, including SQL, NoSQL, and graph databases, by integrating the appropriate drivers and defining them within your agentic workflows.
Q: How do I get started with databases.do?
A: You can start by installing the .do SDK (@do/sdk) and authenticating your account. From there, you can use the databases agent to list existing data resources or define and provision new ones using simple code.
Stop wrestling with distributed data complexity. By adopting a "Database as Code" approach with databases.do, you can build a data infrastructure that is robust, repeatable, and ready to scale.
Ready to transform your data management? Install the @do/sdk, explore our documentation, and start managing your data resources as code today.