Operations 5 min read

Curated Reading List on DevOps, Software Delivery Performance, and Engineering Productivity

This article presents a concise collection of ten Chinese-language resources that summarize the 2021 DORA DevOps report, the importance of consistency in R&D, fundamental efficiency principles, Microsoft’s testing shift, Google’s release and productivity metrics, and SRE health measurements, offering valuable insights for modern software engineering teams.

Continuous Delivery 2.0
Continuous Delivery 2.0
Continuous Delivery 2.0
Curated Reading List on DevOps, Software Delivery Performance, and Engineering Productivity

1. Google releases the 2021 DevOps Report – A brief summary of the DORA 2021 DevOps report, confirming the four original performance metrics and adding a fifth metric: from Availability to Reliability.

2. Consistency – The Essential Path to R&D Efficiency (Long Read) – A record of Qiao Liang’s talk at Tencent CI Day, introducing the view that software efficiency is fundamentally a scaling problem and that consistency is the necessary path.

3. Performance Metrics and Engineer Culture – A sister piece to the Tencent CI Day talk, discussing the relationship between performance measurement and engineering culture.

4. Basic Working Principles for Improving R&D Efficiency – Outlines four core principles for software product teams to boost R&D efficiency, emphasizing the speed of the “fast verification loop” and the size of the Minimum Viable Solution.

5. Microsoft: Shift-Left Testing for Faster, More Reliable Delivery – Describes Microsoft’s admission that its previous quality assurance model was inadequate and how the cloud era demands a more efficient working mode.

6. Micro Feedback Loops to Maximize Developer Efficiency – Introduces a framework for maximizing developer efficiency through frequent micro‑feedback loops executed hundreds of times per day.

7. How Google Handles Releases – Details Google Ads team’s weekly release process, highlighting the pressure of frequent releases and the limited time for reflection.

8. How Google Measures Engineering Productivity – Explains Google’s view that improving productivity incurs cost, and stresses the need for effective, not just increased, engineering productivity.

9. Google PH Value: Health Metrics for Software Projects – Discusses SRE’s user‑centric approach to defining SLOs and building health metrics for continuously running services.

10. Microsoft: Shift‑Right Testing (TIP) – Introduces Microsoft’s Test‑In‑Production (TIP) practice, acknowledging that commercial success had masked shortcomings in their testing methodology.

operationsTestingDevOpsSREsoftware deliveryEngineering Productivity
Continuous Delivery 2.0
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Continuous Delivery 2.0

Tech and case studies on organizational management, team management, and engineering efficiency

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