C4 model sticky notes VS cppq

• Visual Clarity
  The sticky notes provide a clear and visually appealing way to represent the C4 model, making it easier to understand system architectures at a glance.
• Ease of Use
  C4 model sticky notes offer a straightforward way to arrange and rearrange components, enabling iterative design and immediate feedback during architectural discussions.
• Collaboration
  Sticky notes can be easily used in collaborative environments, facilitating teamwork by allowing team members to contribute and modify architectural elements.
• Flexibility
  They can be used for various levels of the C4 model, from high-level system overviews to detailed component designs, accommodating different levels of granularity.

Possible disadvantages

• Physical Constraint
  Being physical objects, sticky notes can become impractical in remote work settings, requiring a digital alternative like virtual whiteboards.
• Space Limitation
  There is limited space for writing detailed information on sticky notes, which can lead to oversimplification or frequent reference to supplementary materials.
• Durability
  Sticky notes are susceptible to wear and tear and may fall off or get lost, posing challenges for long-term maintenance of architectural documentation.
• Scalability
  Managing large and complex architectures with sticky notes can become cumbersome, as large numbers of notes can lead to clutter and confusion.

• Lightweight C++ implementation
  cppq is written in modern C++ and designed to be a minimal, efficient task queue library, making it a good fit for performance-sensitive applications where the overhead of scripting language runtimes is undesirable.
• Redis-backed reliability
  Built on top of Redis as the message broker, cppq benefits from Redis's persistence, atomic operations, and wide adoption, giving the queue system durability and the ability to survive process restarts.
• Inspired by proven design (asynq)
  The library's architecture mirrors the popular Go asynq task queue, so it inherits a well-thought-out API design for task enqueueing, retries, and worker processing patterns that have already been validated in production systems.
• Native integration for C++ projects
  For teams already working in a C++ codebase, cppq allows adding background job processing without needing to introduce a separate service written in another language (like Go or Python), simplifying the technology stack.
• Open source and inspectable
  Being open source on GitHub, developers can review the source code, modify it for custom needs, and contribute improvements, which offers transparency not available with closed-source queueing solutions.

Possible disadvantages

• Limited maturity and battle-testing
  Compared to established task queue libraries like Sidekiq, Celery, or asynq itself, cppq is a newer and smaller project with less real-world production usage, which may translate into undiscovered bugs or edge cases.
• Smaller community and ecosystem
  Because it has far fewer users and contributors than mainstream task queue systems, finding community support, third-party tutorials, or pre-built integrations is more difficult.
• Documentation gaps
  As a smaller project, cppq may have less comprehensive documentation compared to major task queue frameworks, requiring developers to read source code directly to understand advanced features or edge-case behaviors.
• C++ build and dependency complexity
  Using cppq requires managing C++ build toolchains and dependencies (such as a Redis client library), which can be more cumbersome than installing a package via pip or npm in other ecosystems.
• Fewer built-in features and tooling
  cppq likely lacks the extensive ecosystem tooling of more mature queues, such as web-based monitoring dashboards, extensive metrics/observability integrations, or advanced scheduling features found in more established solutions.

• Risk storming

  We recommend using the C4 model as a simple structure to diagram your system and C4 model stickies as an easy way to use the C4 model with a whiteboard. - Source: dev.to / over 3 years ago

Tracking cppq since Nov 2022.