Guru Guide To Sql Server Architecture And Internals.pdf
Amancio Mccrae
Loguru is much easier to set up than the standard logging module, and it hasmany useful features that will help you collect as much information from yourapplication as needed. This guide will descibe the library and its features indetail, and give you an idea of how to integrate it into a typical webapplication setup. It will also provide some pointers on how to seamlesslymigrate from the standard logging module to Loguru.
The server will restart after saving the file, and you won't observe the defaultrequest logs anymore. In a subsequent section, you'll create a middlewarefunction that uses Loguru to record incoming request information.
There may be as many definitions of "architecture" as there are software architects to define it. Ralph Johnson of the Gang of Four [GoF 1994] defined software architecture as: "the important stuff (whatever that is)". This deceptively obvious statement calls out the need for an architect to identify, analyze, and prioritize the non-functional requirements of a system. In this definition, the architecture could be viewed as a plan to implement these non-functional requirements. Ford [Ford 2017] gives a comprehensive list of such requirement types, or "-ilities". The TOGAF standard [TOGAF 2018] provides a more concrete description of architecture, namely: "the structure of components, their interrelationships, and the principles and guidelines governing their design and evolution over time".
The industry has over the past few years revisited the "hard to change later" problem in a new light. Instead of looking at individual requirements from the perspective of how they will evolve in a system, what if "evolvability" was baked into the architecture as a first-class concept? Evolutionary architectures, as described by Ford [Ford 2017], have no end state. They are designed to evolve with an ever-changing software development ecosystem, and include built-in protections around important architectural characteristics –' adding time and change as first-class architectural elements. Indeed, Ford [Ford 2017] describes such an architecture as one that "supports guided, incremental change across multiple dimensions". And it is this incremental nature of change that facilitates us making changes to our software architecture in a continuous manner, planning for such change from the outset, and having as part of our backlog items which reflect our desired architectural evolution.
Chapter 4, What is Architecture? explores what distinguishes architecture from design. Not all design decisions are architecture decisions. Architecture decisions need to be organized driven by the identification of high-impact decisions. High-impact decisions are defined as those which are likely to have significant effect on quality metrics or on other decisions. There is a need for guidelines on how best to organize the architecture decision space.
The authors of Building Evolutionary Architectures [Ford 2017] describe an evolutionary architecture as supporting "guided, incremental change across multiple dimensions". The key idea is to enable the incremental development of the product or system while preserving functional requirements such as scalability, elasticity, or resilience. As the product or system evolves during Agile iterations, its architecture qualities should not degrade over time.
Designing APIs that external developers will love is key to creating the kind of digital ecosystems that characterize many digital business models. Designing the information architecture that will guide API definition does not happen in a vacuum. Best practices show that it is driven by business goals, persona modeling, and task analysis.
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