v1.1.0

What's Changed

• makefile - fix typo in HEADER_FILTER in #26
• github-action - doxygen now reports warning as errors in #28
• telemetry - holder - mark move constructor as default in #30
• appFs - non-blocking fuse loop in #29
• Telemetry - add symlink in #25
• GitHub-actions: build examples in #31

Full Changelog: v1.0.0...v1.1.0

v1.0.0

New release! (Telemetry & AppFs v1.0.0)

I am excited to announce the 1.0.0 release of the Telemetry library and AppFs library! This release marks the first stable version, offering robust telemetry data collection and FUSE-based filesystem integration for seamless real-time data access.

Key Features:

• Telemetry Library:
  • Provides efficient data structures for telemetry metrics (files, directories, etc.).
  • Supports real-time monitoring and collection of telemetry metrics like CPU usage, memory usage, uptime, and more.
  • Flexible data retrieval, storage, and manipulation for monitoring solutions.
• AppFs Library:
  • Integration with Telemetry for exposing telemetry data through a FUSE (Filesystem in Userspace) interface.
  • Access telemetry data as a mounted filesystem, allowing standard filesystem operations for monitoring and data manipulation.

Changes in 1.0.0:

• Initial Stable Release: This is the first stable release, including all core functionalities for Telemetry and AppFs.
• FUSE Support: Enable the user-friendly mounting of telemetry data directories for real-time access.
• Enhanced Example Implementations:
  • Simple Example: Demonstrates a minimal setup for collecting telemetry data (e.g., process ID, version, uptime).
  • Advanced Example: Illustrates detailed data collection across multiple virtual servers and structured output of metrics.

How to Use:

1. Install the libraries by following the installation guide in the README.
2. Use the provided example applications to start collecting and managing telemetry data