Technical Metrics

Technical metrics are quantifiable measures used to assess the performance, quality, reliability, and efficiency of software systems, code, and development processes. They provide objective data to track progress, identify issues, and make informed decisions in software engineering. Common examples include code coverage, response time, error rates, and deployment frequency.

Also known as: Software Metrics, Engineering Metrics, DevOps Metrics, Performance Metrics, Code Metrics

Why learn Technical Metrics?

Developers should learn and use technical metrics to monitor system health, improve code quality, and optimize performance in production environments. They are essential for implementing DevOps practices, conducting performance testing, and meeting service-level agreements (SLAs) in applications like web services, microservices, and cloud-based systems.

Learning Resources

• book: Google's Site Reliability Engineering Book - Monitoring
• docs: Martin Fowler's Article on Monitoring
• course: Coursera Course: Software Development Processes and Methodologies
• video: YouTube: Introduction to Software Metrics
• tutorial: Atlassian Tutorial: DevOps Metrics