How Google Develops Software Successfully: Key Lessons from 'Software Engineering at Google'
Published on 8 October 2024 by Arjan Franzen
Software development is more than just writing code. At large tech companies like Google, it’s about building a culture, processes, and tools that enable teams to deliver scalable, efficient, and reliable software. In the book "Software Engineering at Google: Lessons Learned from Programming Over Time", Google experts share their best practices and insights on managing software development at scale. Here are some key lessons from the book that you can apply to your organization.
1. Software Engineering is Not the Same as Programming
One core message from the book is that software engineering goes beyond just writing code. It’s about building systems that can withstand change and scale. A great example is "Hyrum's Law," which states that if an API is widely used, every observable behaviour, even the smallest detail, will eventually be relied upon by someone. This highlights the need for robust code and solid documentation.
2. Work in Teams, Not Silos
Google strongly emphasizes the importance of teamwork. This means sharing knowledge is essential to success, and teams must collaborate openly and transparently. The book also warns against the "Genius Myth" — the idea that great software only comes from brilliant individuals — and stresses that real success comes from collective effort.
3. Knowledge Sharing and Documentation
A key focus is on knowledge sharing through documentation. Google uses standards like 'Readability' (standardized code reviews) to ensure consistent code quality. Regular training and platforms for questions and answers are employed to support the learning process.
4. Leadership and Scalability
Leadership within engineering teams is positioned as a service role. Managers and tech leads must remove obstacles and support their teams. The book offers many examples of how leaders can help scale teams and processes to ensure efficiency and productivity.
5. Measuring Productivity
Google uses a wide range of metrics to measure the productivity of engineering teams, including Lead Time for Changes, Code Churn, and Service Level Indicators. These metrics help identify inefficiencies and ensure the focus remains on delivering value.
6. Automation and Testing
Automation is central to Google's ecosystem, particularly when building and testing software. Continuous Integration (CI) and Continuous Delivery (CD) are deeply integrated into the daily workflow. Testing at various levels, from unit to large-scale system tests, ensures software can be delivered quickly and with minimal errors.
Conclusion: Why This Matters for Your Organisation
Applying Google's principles and processes can help your organization develop higher-quality software, work more efficiently, and be better prepared for scaling. These lessons are invaluable, whether you’re a small company just starting or a larger organization aiming for growth.
Do you want to learn more about the principles and processes Google uses to make their engineering teams successful? Get a free guide that translates the key lessons from the book into actionable steps you can implement in your organization. Click here for more information and to download the guide!
Implement DevOps
Implementing DevOps requires linking the support systems to bring the ‘Dev’ to the ‘Ops’ and vice versa.
Find out how to set this up in 30 minutes yourselves.