100 books like Design for Safety

I love pattern languages. And Team Topologies brings patterns for team types and their interactions. Most importantly, they address fundamental problems of the software industry: how teams organise for fast flow, and how teams cope with cognitive load. The book steams from the author's experience in the DevOps community, and it is widely used across the world. Last but not least, Team Topologies give us a language that support organisation evolution.

My journey in the world of software development has been arduous and challenging.

One of the common struggles we all face is the overwhelming number of solutions available, making it impossible to fully grasp everything at a deep level.

Just when I thought I had mastered an approach and felt competent in it, a new shiny approach would emerge, demanding my immediate attention. It often felt like a never-ending race to keep up with the ever-evolving field.

This constant pursuit of staying relevant as a software engineer can be frustrating, as it feels like we are always lagging behind the rapidly advancing world. I discovered that knowledge of specific technologies, frameworks, or libraries does not easily transfer across different technology stacks. They are too specific and lack universality. It was then that I turned my focus to more general principles of software engineering.

I realized that there are fundamental engineering… show more.

In my quest (you can also call it a professional career), I’m drawn to complexity since we create software for complex problems. There are books on Complexity Science; however, they are very academic. This particular book gives practical advice to cope with complexity. It acknowledges the balance between the emotional and rational sides and why we must bring our full-self to any aspect of our life. The “don’t be emotional, this is work” proves to be a threat to our mental well-being and kills innovation in a company. In the book, the authors explore how to listen to our bodies in the face of complexity in an accessible way.

Accelerate is a book about data. The authors used data collected during their PhD projects in order to prove The DevOps is effective.

They have all sorts of different ways to measure DevOps, it sufficiency, and the fact that way more projects succeed when you do DevOps, rather than waterfall methodology.

The book essentially show can be used as evidence of return on investment when modernizing your IT department. I am a person who loves data, and thus I absolutely love this book. Also, if you listen to the audiobook version, one of the authors reads it to you and her personality really shines through in a fun way.

I really enjoyed listening to Nicole read a book about to me about data!

This is the first volume of a two-volume, tour de force, which jointly offers 29 specially written papers by major contributors to the field that broadly explore the genesis of technological change and the ways it is commercialized and diffused.

It is an invaluable source of literature surveys of the many different areas covered within the definition of the economics of innovation and also provides predictions of fruitful research directions.

Having myself edited a Handbook some years earlier I know both the time and effort involved but also the extent of knowledge dissemination that a book such as this can provide.

The late French philosopher Bruno Latour was infamous for his iconoclastic work in the history and sociology of science and technology.

If you read only one of his books, I’d say go for We Have Never Been Modern because it cuts to the heart of things by disrupting the conventional understanding of modernity as a clear separation between nature and culture. Latour argues that even as “moderns” have been rhetorically invested in this particular bifurcation of the world, nature-culture hybrids are continually proliferating.

So if you’ve ever asked yourself, why are cities not considered natural landscapes? Or why are animals always presumed to be without culture? Or what does it even mean to be modern? Then this is the book for you.

First published in 1958, this is one of Hannah Arendt’s most influential books and in it she attempts to define the human condition in the aftermath of World War II, developing her concept “natality.” 

It’s a challenging book that I’ve wrestled with and argued with and never forgotten. It includes some of her most powerful and frequently cited passages about birth. Lately, I’ve been returning to its opening pages, in which she discusses the launch of Sputnik into space. 

She saw this launch not as an exciting technological breakthrough, but as a fateful repudiation of our earthly existence, an existence that was defined by birth with possibilities and limitations.

Frankly, it makes me squirm to recommend this book, but it’s a topic we Americans need to understand better. Under Xi Jinping, China has expanded its use of surveillance cameras and begun a “social credit” system to track people who are—and aren’t—following the rules. Kai Strittmatter, who reported from China for a leading German newspaper for more than a decade, relies on strong research and concludes that China is Orwellian. And yet, most Chinese citizens I know do not feel watched and oppressed. I’m eager to get back to China to judge for myself.

Over the last two centuries, human per capita energy usage has grown 800 percent, while the population has also grown to the same degree. Life has changed profoundly due to our adoption of fossil fuels—but puzzlingly few people are curious to understand energy’s role in society and history. Smil fills the void to overflowing with this detailed account of how people have harvested energy from their environments, and how doing so has changed the ways they live.

In addressing decision makers, an understanding of forces affecting human behavior is essential. The author provides a comprehensive view on the work of Kahneman and Tversky mapping their journey which lead to their highly impactful behavioral economic body of knowledge. The bias they address provides data scientists a widened perspective on their role and how to address organizational challenges. This provides a language to recognise and address bias inherent in human thinking. The book provides a very powerful set of tools for data scientists who want to see behind the numbers and understand forces affecting human behavior.