5 Developer productivity metrics you should measure

As software development becomes more complex, developers face increased cognitive load due to responsibilities like interacting with cloud platforms such as Kubernetes and Terraform, impacting their productivity. To address these challenges, it is crucial for engineering managers to measure developer productivity through metrics like lead time to change, deployment frequency, change failure rate, mean time to recovery, and overall cycle time. These metrics, similar to DORA metrics, provide insights into developers' speed, quality, and work frequency, helping identify areas for improvement and better practices. Additionally, measuring developer productivity in relation to developer experience can highlight inefficiencies and improve workflow. An open internal developer portal can unify the software development platform, enabling self-service actions, tracking work, and establishing team-wide initiatives. Platform engineers play a pivotal role in designing workflows and simplifying complexities, ultimately improving developer productivity by focusing on unique team challenges and utilizing tools like Port’s internal developer portal for optimal solutions.