cjdns VS cppq

• Security
  cjdns uses cryptographic security for node communication, ensuring that all data transmitted is encrypted and secure from unauthorized interception.
• Decentralization
  The network is designed to be decentralized, reducing reliance on central authorities and single points of failure, which enhances resilience and censorship resistance.
• Scalability
  cjdns aims to improve scalability with a routing algorithm that scales logarithmically, which helps in maintaining performance as the network grows.
• IPv6 Support
  cjdns natively supports IPv6, which allows for a vast address space and facilitates better compatibility with modern network infrastructures.
• Mesh Networking
  cjdns supports mesh networking, allowing nodes to connect directly to each other without needing a central point, which can improve redundancy and coverage.

Possible disadvantages

• Complexity
  Setting up and maintaining a cjdns network can be complex and challenging for users who are not experienced with networking and cryptography.
• Limited Adoption
  As of now, cjdns has limited adoption compared to traditional Internet infrastructure, which might hinder connectivity and resource availability.
• Performance Overhead
  The encryption and routing mechanisms may introduce performance overhead, potentially affecting speed and latency compared to direct, unencrypted connections.
• Interoperability
  Integration with existing Internet services and infrastructure can be challenging, as cjdns operates differently from traditional IP-based networks.
• Resource Requirements
  Running a cjdns node can require substantial system resources, especially in larger networks, which might not be feasible for devices with limited capacity.

• 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.

No analysis of cjdns yet.

Peer to peer IPv6 networking in cjdns + Slides - BattleMeshV8

More videos

No cppq videos yet. You could help us improve this page by suggesting one.

• Tailscale has raised $160M

  Everyone is commenting on the HN headline, no one on the actual announcement: > Building the New Internet (Insert mandatory reference to Silicon Valley here :)) > We think there’s a better way forward. We're calling it identity-first... - Source: Hacker News / over 1 year ago

• The Hidden World Of Dumps Store | CVV Shops: The Lucrative World of Credit Card Fraud!

  This sub is not about TOR and all the seediness that goes on there but rather about creating darknets, by which we/they mean mesh networks and encrypted networks using tools like https://github.com/cjdelisle/cjdns/. Source: over 3 years ago

• Question for Network Admins, do you use IPv6?

  One of my favorite projects in IPv6 space is the CJDNS project: LINK TO GITHUB. Source: over 3 years ago

View more

Tracking cppq since Nov 2022.