• Announcing Swift System Metrics 1.0: Process-Level Monitoring We are excited to announce the 1.0 release of Swift System Metrics, a Swift package that collects process-level system metrics like CPU utilization time and memory usage. • Swift System Metrics runs on both Linux and macOS, providing a common API across platforms. • Swift System Metrics visualized in Grafana, demonstrating what’s possible with real-time monitoring. • Monitoring process metrics enables you to detect performance issues, optimize resource usage, and ensure your service remains reliable and cost-effective under varying loads. • You can integrate Swift System Metrics into your service in just a few lines of code, making observability accessible to every developer and ensuring that even the smallest services can have production-grade visibility from day one. • Swift System Metrics is part of a larger set of packages that provide an end-to-end solution for integrating metrics into your Swift applications and services.

Article Summaries:

  • Apple has released Swift System Metrics 1.0, a Swift package that gathers process‑level system metrics such as CPU time, memory usage, file descriptor counts, and start time. The API is stable and works on Linux and macOS (including musl libc), and it can report metrics to Swift Metrics, which supports Prometheus, OpenTelemetry, and other backends. The package integrates with Swift Service Lifecycle for clean startup and shutdown, and includes a Grafana dashboard example for quick visualization. Developers can add the dependency via Package.swift and start collecting metrics with a few lines of code. The project invites contributions to expand metrics and platform support.
  • Apple has released Swift System Metrics 1.0, a Swift package that gathers process‑level system metrics such as CPU usage, virtual and resident memory, file descriptor counts, and process start time. The library works on Linux, macOS, and musl‑based systems, exposing a stable API that can be added to a Swift project with a single dependency line. Collected metrics are forwarded to Swift Metrics, which supports popular backends like Prometheus and OpenTelemetry, and an example Grafana dashboard is included for immediate visualization. The release encourages community contributions to expand metric coverage and platform support while maintaining backward‑compatibility.

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