3 Measuring your way to Platform Engineering Success
This chapter covers
- The importance of measuring key aspects of platform engineering, including platform value models and metrics-driven investments that support the platform's overall success.
- What are the models to consider when setting up the engineering platform scaffolding, with a focus on the product delivery model introduced in the previous chapter, now expanded to cover the entire path-to-production.
- Cognitive load management, its impact on various stakeholders in the SDLC, and strategies for reducing it to improve developer efficiency and experience.
- Organizational changes required for implementing platform engineering and establishing key performance indicators (KPIs) to measure progress and success.
So far in your journey at PETech, you have established a vision and strategy, decided that you have a business need for building an engineering platform, and have put together the foundational engineering practices to create it. You have also looked at software-defined platforms and the cloud-native approach, which simplifies the process. The last critical element of your planning process comes - measuring what you will build. The final chapter of part one will round out all the pieces required to ensure you are setting up the platform engineering journey to succeed not just in the short term but for scaling.