Author: Hamza Ghufran

The volume of activity taking place in engineering teams can be mind-boggling, making engineering teams rather difficult to manage. Successful engineering managers, however, are adept at steering their teams to success by tactfully monitoring and using software metrics.

Software metrics enable visibility, and acquiring a complete understanding of the software delivery process from concept to production can help in the discovery of bottlenecks or process concerns that, when solved or optimized, can enhance the engineering team's health and efficiency.

As an engineering leader, one of your top priorities is improving the effectiveness and productivity of the developers on your team. The first step to managing and improving your engineering team is adopting a metric-driven approach to identifying the problem areas that threaten your team’s performance.

Successful teams keep track of their performance through a set of chosen indicators called software engineering metrics. With these metrics, engineering leaders can visualize progress, identify bottlenecks, watch for anomalous trends, and predict when something’s off before a deadline is missed.

We’re seeing an increasing number of organizations renew their focus on adopting and improving their DevOps practices to help optimize their software development life cycle and improve their delivery velocity to reach markets and customers faster. Here’s all you need to know about the four key DevOps metrics and how teams can use these metrics to improve dev efficiency and performance to build better and faster products for their customers.  

What Are DevOps Metrics? 

DevOps metrics are the data points used to measure the performance and efficiency of a team’s DevOps software development process. Since DevOps integrates the functions of both development and operation, the metrics should be able to measure and optimize the performance of both the processes and people involved.