Succeed with Microservices
Understand the intersection of People and Code

Microservices are a popular software architecture where the application is structured as a set of loosely coupled services. These services can be deployed and scaled-up independently. Microservices are adopted as a way of scaling the development organization by aligning the development teams with specific services.

Microservices remain a high-discipline architecture that brings challenges of its own. This section explains how you can monitor code, dependencies, and team coupling to succeed with microservices.

Monitor Service Dependencies.
Loosely Coupled Microservices are Key.

Tightly coupled microservices are a cardinal sin. In particular when those connected services are owned by different development teams; the coordination costs in the organization tend to soar as new features and fixes require work by multiple teams.

Use the concept of Change Coupling to uncover logical service dependencies in the context of the development teams.

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Visualizing dependencies between microservices across team boundaries using CodeScene's change coupling analysis.

Avoid Team Coupling.
Visualize Conway’s Law to make decisions based on data.

Conway’s Law tell us that an organization’s communication structure should be reflected in the software architecture. In a microservice context, that means loosely coupled services with a clear team ownership.

Conway’s Law is an important principle that drives both organizational and technical decisions. At the same time, the organizational and social side of code is largely left to subjective judgments. What if we could guide those decisions with objective data instead?

Migrate from Monolith to Microservices
Drive the migration guided by data.

It’s challenging to know where to start. Fortunately, a hotspot analysis can help. Hotspots identify the most volatile parts of your monolith; the parts that are worked on the most by the development teams.

By guiding the migration from hotspots, you pull risk forward and improve the parts of the codebase that bring the largest and fastest benefits.

CodeScene identifies hotspots with low code health, which lets you prioritize the most critical code quality issues.

Avoid building Tomorrow’s Legacy Codebase
Put a Bar on Code Quality.

Code quality issues cost time, money, and missed deadlines. Microservices are no different. CodeScene’s code health measure points gives you a straightforward overview that lets your team drill down to the code with actionable recommendations. It also comes with an automated pull request code review that ensures your code will remain maintainable.

It’s a game changer – understanding the code quality of a large-scale codebase has never been this easy!

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