Continuous Architecture in Practice: Software Architecture in the Age of Agility and DevOps (Addison-Wesley Signature Series (Vernon))

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

There are two main ways in which you can integrate your architectural decisions with your product backlog. One option is to keep the architectural decision backlog separate. The second option is to have them as part of your product backlog but tagged separately.

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

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

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

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

A simple but good example for such an architectural principle is “Buy before build.” It has the following characteristics that make a good principle: Clear: Principles should be like marketing slogans—easy to understand and remember. Provides guidance for decisions: When making a decision, you can easily look to the principle for guidance. In this

Most commercial organizations face the following challenges when defining the architectures of their products: Focus on technology details rather than business context. Perception of architects as not delivering solutions or adding value. Inability of architectural practices to address the increase in speed of IT delivery and to adapt to modern del

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