Tink vs Prometheus
Prometheus is an excellent time-series database. It is not a finished monitoring product. Alone it has no dashboard, no notification path, and no diagnosis. Tink installs in one command, watches the server, explains what is wrong, and helps you fix it.
Prometheus stores samples. Tink answers “what should I do?”
A Prometheus-only setup still needs node_exporter on every host, scrape jobs, retention and disk planning, PromQL alert rules, and Alertmanager if anyone should be paged. When a series looks wrong at 2am, you still open a terminal and reconstruct the story.
Tink is the other job: detect the issue, say why it happened in plain English, propose the command, and run it only after you approve. This page is for people evaluating Prometheus by itself, not the Grafana + Prometheus stack.
| Feature | Tink | Prometheus |
|---|---|---|
| Setup time | 30 seconds (one curl | sh command) | Hours (Prometheus server, scrape config, exporters, Alertmanager, storage) |
| What you get | Working monitoring, diagnosis, and approved fixes | A metrics database — dashboards, alerts, and exporters are extra |
| Pricing | Free (Scout) / $9 / $29 per machine per month | Open source — plus the host, disk, and engineer time to run it |
| Hidden costs | None — fully managed | Dedicated Prometheus host, TSDB disk growth, exporter rollout, rule maintenance |
| Query language | Plain English in Telegram or the web dashboard | PromQL — required for alerts, graphs, and any custom check |
| Plain-English diagnosis | Yes — AI explains root cause, impact, and fix | No — you interpret series, labels, and graphs yourself |
| Fix execution | Proposes and executes approved commands with an audit trail | Monitoring only — no remediation |
| Alerting | Built-in across 8 channels | Alertmanager is a separate service with its own routing config |
| Predictive alerts | Yes — disk fills in ~6 days, memory and CPU trends | Only if you write recording rules and forecast queries |
| SSH brute-force detection | Built-in — parses auth.log every scan | Requires a log exporter plus custom PromQL |
| Machine offline detection | Agent presence monitoring with multi-channel alerts | Requires an up{} rule and Alertmanager routing |
| Public status page | Shareable URL with 90-day history | Not included — pair Grafana or a third-party status tool |
| Weekly fleet digest | Automated Monday digest + daily brief when issues are open | Not included |
| On-call tracking | Built-in /oncall command + incident acknowledgment | Not included — add PagerDuty or another on-call tool |
| Learning curve | None — works after install | High — scrape jobs, labels, PromQL, retention, and Alertmanager |
| Best for | Freelancers, small teams, accidental sysadmins (1-50 Linux servers) | Platform teams who already run a metrics stack and write PromQL daily |
When Prometheus is the right choice
Keep Prometheus when you already have the rest of the stack and need it for work Tink does not do:
- Custom application metrics — request rates, error budgets, and business counters that your app already exposes.
- Long-term TSDB retention — months or years of raw samples, often with Thanos or Mimir.
- Kubernetes and service-mesh telemetry — high-cardinality labels across many pods.
- An existing PromQL practice — if the team already writes and reviews recording rules every week.
The real cost of a Prometheus-only install
The binary is free. A working system is not:
- A host with enough RAM and disk for cardinality growth
- node_exporter (and usually more exporters) on every machine
- Alertmanager if alerts should leave the box
- Hours to write the first useful rules, then ongoing rule review
- Still no diagnosis or fix — only series and alerts
For a 5-server team, Tink Mechanic at $45/month is cheaper than the first week of standing up Prometheus, and every scan includes a diagnosis Prometheus will never write.
No scrape config. No PromQL. No second server for metrics.
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