Addigy VS cppq

• Cloud-based
  So there’s no need to maintain your own infrastructure or servers
• Multi-tenant
  To easily manage multiple organizations
• Automated Device Enrollment
  For seamless onboarding of devices out-of-the-box
• macOS Agent
  More than simply MDM, the Addigy macOS agent allows you to work with macOS devices as if you’re sitting at the keyboard
• Zero Touch Deployment
  With Apple Business Manager and Apple School Manager integration
• Real-Time Device Management
  Get real-time access to every device
• PPPC Profiles Distribution
  Automatically generate the necessary PPPCs to deploy with the custom software you need to deliver
• OS Patch Management
  Quickly review relevant updates and keep devices up-to-date
• Automated System Updates
  Seamlessly rollout new OS across your fleet at a scheduled time
• Software Deployment
  Deploy almost any software or settings to one or more managed devices at the same time
• Unlock Devices
  Unlock devices remotely
• Automated Maintenance
  Run regular maintenance tasks automatically on a predetermined schedule
• LiveDesktop
  Create a secure, remote live session with a Mac without end-user interaction or approval
• Self Service
  Allow end-users to install admin-approved applications, run pre-loaded scripts, request support, and get notifications for maintenance
• Identity Management
  Access to Addigy and macOS devices for users with already familiar and secure identity provider credentials (supports Okta, Google, AzureAD, O365, and SAML based providers)
• Third-Party Patch Management
  Keep commonly used third-party applications patched automatically
• Public Software Catalog
  Access and deploy commonly used third-party applications with just a few clicks
• Remote Access
  Immediately launch a remote control session with a managed device
• Remote Terminal
  Launch terminal access with a single click with LiveTerminal
• Remote Monitoring
  Monitor for anything that falls outside of your security standard
• Automated Remediation
  Resolve monitoring issues automatically
• Group Policies
  Create, configure, deploy and delete policies quickly and easily

• 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.

3-Minute Overview

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Tracking cppq since Nov 2022.