W-Inspector
Server quality inspection & online reports.
- →CPU / memory / disk / network checks
- →Lightweight benchmarks
- →JSON + Markdown reports
- →Shareable public reports
UI previewW-Inspector gives you a clear, instant picture of any server's health — CPU load, memory pressure, disk utilization, and network throughput — in one lightweight run. It produces structured JSON and human-readable Markdown reports you can share with teammates or embed in runbooks without any extra tooling. Built for DevOps engineers and infrastructure teams who need fast, trustworthy diagnostics without heavyweight monitoring agents.

Key capabilities
Inspector collects CPU idle/usage, memory available and swap, per-disk I/O and free space, and live network throughput across all interfaces in a single pass. Lightweight micro-benchmarks measure disk sequential speed and CPU compute, giving you a performance baseline you can track over time. Every result is timestamped and versioned so you always know exactly when data was gathered.

Flexible report formats
Results are emitted as clean JSON for machine consumption and as Markdown for human review — paste directly into a GitHub issue, Notion doc, or incident ticket. Public shareable links let you hand off a live report URL to a vendor or colleague without granting them server access. Export is instant; no account required on the receiving end.

How it works
Inspector runs a single stateless binary on your host — no persistent daemon, no telemetry phone-home. It reads /proc and /sys on Linux and equivalent syscalls on other platforms, runs the micro-benchmarks, then uploads or prints the report. You control where the output goes: stdout, a local file, or the W platform report store.

Why teams use it
Incident response moves faster when everyone looks at the same snapshot. Shareable report URLs replace ad-hoc requests to paste terminal output into chat. Because W-Inspector is stateless and lightweight, you can embed it in CI pipelines to catch regressions in cloud instance performance before deploying workloads.
Use cases
- →Pre-deployment server acceptance checks for new cloud instances
- →Incident triage: share a live snapshot URL in the team chat
- →Periodic cron-driven health reports stored in W-DaaS for trending
- →Vendor handoff reports proving SLA-grade hardware was delivered
- →CI pipeline stage to detect unexpected performance regressions
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