Knowing how productive your development team is is essential to planning your software delivery timeline and releasing high-quality software to the end-user. However, there exist several misconceptions about what developer productivity is and how it can be increased. Developer productivity is not a single metric you can measure, like the number of pull requests each developer in the team is making in a given development time.

Microservice architectures have become extremely popular in recent years, and for good reason. When managed properly, they improve scalability, encourage faster development and deployment, and reduce data and domain coupling. Companies of all sizes, from small startups to large enterprises, have migrated their monolithic applications over to microservice and service-oriented architectures. Making the move from monolith to microservices is a big shift, though.

It is dangerous to push software into production before knowing how each line of code contributes effectively to the product. If your code is of low quality or contains many bugs, the software will not run as it is supposed to and cause a number of problems for end-users and your team alike. To avoid having to navigate such a scenario, it is important to continuously test your services and ensure that the code is fit to be pushed to production.

Is microservice quality a focus for your team this year? Perhaps you’re looking to improve your service performance. Maybe you feel like your organization needs better ways to enforce best practices or ensure that service quality doesn’t degrade over time. Let’s take a look at these three areas and share some concrete recommendations for strengthening your services and creating a long-term culture of quality.