Surge for Mac VS cppq

• Comprehensive Network Debugging
  Surge for Mac provides advanced network debugging features, including HTTP/HTTPS proxy, capture and analysis of network traffic, and robust filtering options. This makes it easy to diagnose and fix network issues.
• Rule-based Configuration
  Surge supports complex, rule-based configurations, which are highly customizable. This allows for precise control over network behavior, aiding in development, testing, and deployment scenarios.
• API Request Analysis
  The tool provides detailed insights into API requests and responses, helping developers and testers to understand and optimize backend API communications.
• Advanced Proxy Capabilities
  Surge offers robust proxy capabilities, including support for SOCKS5, HTTP CONNECT, and rewrite rules, making it versatile for various network environments and use cases.
• User-Friendly Interface
  Surge boasts a user-friendly interface which simplifies the process of setting up and managing complex network configurations, making it accessible even for users who are not network experts.
• Automation and Scripting Support
  The platform supports automation and scripting, allowing users to automate repetitive tasks and integrate Surge into their workflows using JavaScript.

Possible disadvantages

• Cost
  Surge for Mac is a paid software, which can be relatively costly compared to some other network debugging tools or open-source alternatives.
• Learning Curve
  Due to its advanced features and capabilities, there can be a steep learning curve for new users. Understanding all of its functions and configurations may require some time and effort.
• Resource Intensive
  Running Surge, particularly with extensive network traffic analysis and debugging features enabled, can be resource-intensive, potentially affecting the overall performance of your Mac.
• Overwhelming for Simple Use Cases
  For users with simpler needs, the extensive features of Surge may be overwhelming. In such cases, a more straightforward tool might be a better fit.
• Compatibility Issues
  Some users have reported compatibility issues with certain applications and services, which may require troubleshooting or alternative configurations to resolve.

• 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.

• Charles Proxy

  Https://nssurge.com is available on macOS & iOS and has seemed superior to Fiddler in many ways. - Supports a pseudo-VPN mode (~tap and socket filter) that intercepts any traffic that doesn't go through the HTTPS/SOCKS proxies, including... - Source: Hacker News / 10 months ago

Tracking cppq since Nov 2022.