Drive architectural decisions, which are the primary unit of work of architectural activities. Continuous Architecture recommends explicitly focusing on architectural decisions because if we do not understand and capture architectural decisions, we lose the knowledge of tradeoffs made in a particular context. Without this knowledge, the team is inh

In software-intensive systems, technical debt consists of design or implementation constructs that are expedient in the short term but that set up a technical context that can make future change more costly or impossible. Technical debt is a contingent liability whose impact is limited to internal system qualities—primarily, but not only, maintaina

Consequently, we must design our systems with recovery from security incidents in our mind and must think about preventing the incidents in the first place. We discuss system resilience in Chapter 7, but from a security perspective, an important part of ensuring resilience is to work closely with the security specialists and SOC personnel while des

As software engineers and architects our job is to try to use our technical and logical thinking skills to identify which is which and to challenge those that are not useful. Which activities help us to really be secure and which are outdated or simply useless “security theatre”? If we don’t do this then all security activities will be devalued and

Guidelines: In reality, the probability of development teams compromising the architecture is greatly reduced if they are given clear guidelines to adhere to.

We recommend leveraging the utility tree technique from the architecture tradeoff analysis method, or ATAM.15 Documenting architecture scenarios that illustrate quality attribute requirements is a key aspect of this technique. 15. Software Engineering Institute, Architecture Tradeoff Analysis Method Collection. https://resources.sei.cmu.edu/library

Focus on quality attributes, which represent the key cross-cutting requirements that a good architecture should address.

Let us briefly touch on the concepts of data science and data engineering. If we go back to the DIKW triangle, we can say that data science focuses on extracting knowledge and wisdom from the information we have. Data scientists combine tools from mathematics and statistics to analyze information to arrive at insights. Exponentially increasing amou

Creating visibility of architectural decisions at all levels of the organization and sharing these decisions among different teams will greatly reduce the probability of significant architectural compromises occurring. It is not technically difficult to create visibility; all you need to do is agree on how to document an architectural decision.