Introduction
In modern software development, particularly within microservices architecture, there’s an ongoing debate about how to best break down user stories. While traditional Agile methods emphasize vertical slicing—cutting through the entire stack (UI, API, and database) to deliver a user-facing feature—this approach can fall apart when applied to complex, distributed systems with independent deployable units.
I’ve encountered resistance when suggesting that, after defining an initial vertical slice, it’s best to break down stories by deployable unit or repository. The concern is that this practice “bucks the industry standard.” However, when considering industry best practices, especially from organizations like Amazon, it becomes clear that breaking stories by deployable units aligns with modern Agile and DevOps principles.
The Nature of Microservices: Why Independent Deployability Matters
Microservices are designed to be independently developed, tested, and deployed. Each service is an autonomous unit responsible for a specific business capability. This architectural style aims to enable rapid, frequent, and safe deployments.
Key characteristics of microservices include:
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- Independent Deployments: Each service can be updated and deployed without impacting other services.
- Decentralized Data Management: Each service manages its own database schema and data.
- Autonomous Teams: Teams can work independently on different services, reducing cross-team dependencies.
Forcing teams to combine multiple services into a single, massive vertical slice undermines these benefits, increasing complexity and deployment risks.
Why Breaking Stories by Deployable Unit is the Right Approach
1. Supports the INVEST Principles
Agile user stories should be:
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- Independent: Each story should be deployable without waiting for other stories.
- Small: Smaller stories reduce risk and accelerate delivery.
- Testable: Each story should be verifiable in isolation.
When stories cross multiple services, they violate independence and smallness, resulting in slower progress and riskier integrations. By breaking down stories by deployable unit (like individual microservices or front-end components), teams ensure faster, safer progress.
2. Respects Modern CI/CD Practices
Industry leaders like Amazon deploy thousands of times per day. This is only possible because:
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- Services are independently deployable.
- Stories are small and focused, often aligning with single deployable components.
- Teams use feature toggles to deploy backend functionality before the frontend is ready, reducing integration risks.
3. Minimizes Integration Risk
Breaking stories by repo allows each service to be independently tested and deployed. Teams can validate each piece through contract tests and feature flags, avoiding large, risky deployments where a bug in one service can block the entire release.
4. Enables Parallel Work Across Teams
When stories are tied to specific repos, teams can work in parallel. Backend teams, frontend teams, and database teams can all proceed without blocking one another. This is critical in modern DevOps environments that prioritize speed and autonomy.
5. Simplifies Progress Tracking and Risk Management
Large stories that cross services hide complexity and risk. Smaller, repo-specific stories are easier to track, ensuring better visibility for project managers and reducing the likelihood of surprises late in the development cycle.
The Misunderstanding About “Tasks vs. Stories”
Some argue that microservice-specific work should be “just a task” under a larger story. However, this breaks down when considering:
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- Tasks aren’t deployable, but microservices are.
- You can’t track testing and readiness effectively if it’s all buried in a single story.
- Deployments become riskier, and you lose the ability to test services independently.
By treating each deployable change (like a new endpoint or schema change) as its own story, you maintain better clarity, accountability, and alignment with CI/CD pipelines.
What About Small Vertical Slices?
Some counter-argue, “Just make the vertical slices smaller, like adding one field.” But even a “small slice” can involve:
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- A database schema change (that needs to be backward compatible).
- A backend API update.
- A frontend component update to consume and display the field.
- Tests and validation for each layer.
If you bundle all that into one story, you’re still dealing with a large, cross-repo story that violates independence and smallness. By contrast, breaking it down by repo:
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- Enables independent testing and deployment.
- Aligns with CI/CD pipelines.
- Allows for parallel progress.
How Industry Leaders Do It (Like Amazon)
Amazon and other leaders rely on independent, deployable services. Their approach emphasizes:
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- Feature Toggles for safe, incremental releases.
- Service-Aligned User Stories where each deployable unit is a story.
- Parallel Development by autonomous teams.
- End-to-End Integration Tests only after individual components are deployed and validated.
This approach ensures that even when deploying thousands of times a day, each deployment is small, safe, and reliable.
Conclusion
Breaking stories by deployable unit in a microservices architecture is not “bucking the industry standard”—it’s adhering to it.
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- It respects microservice autonomy.
- It aligns with CI/CD and DevOps best practices.
- It reduces risk and accelerates delivery.
- It maintains the INVEST principles for Agile success.
If you’re developing in a modern, distributed system, forcing massive, cross-repo stories is outdated and risky. The industry has evolved toward small, independent, deployable stories—and for good reason.
References
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- Microservices.io: Independently Deployable Services
- Atlassian: Microservices Architecture
- OsoHQ: Microservices Best Practices
- Medium: Cutting Stories for Microservices
- Simform: Microservice Best Practices
- GeeksforGeeks: Best Practices for Microservices Architecture
- Middleware.io: Microservices Architecture Overview
- XenonStack: Microservices Deployment at the Edge
- DreamFactory: Microservices Examples
- Cerbos: Testing and Deployment Strategies in Microservices