Vigilmon vs VictoriaMetrics compares two tools from opposite ends of the observability spectrum. VictoriaMetrics is a high-performance, self-hosted time-series database built as a scalable Prometheus-compatible backend — purpose-built for storing internal metrics at high cardinality with long retention. Vigilmon is an externally hosted, agentless uptime monitoring service that probes your services from the outside world and alerts when they're unreachable. One stores metrics your infrastructure reports about itself. The other watches your services from outside, independent of your infrastructure entirely.
Understanding the difference explains why these tools complement rather than replace each other — and why teams running VictoriaMetrics for internal metrics still have a monitoring blind spot that only Vigilmon fills.
What VictoriaMetrics Does
VictoriaMetrics began as a drop-in replacement for Prometheus's storage backend — a way to keep using PromQL, Grafana dashboards, and existing scrape configurations while overcoming Prometheus's limits at high cardinality and long retention. It has since grown into a full observability stack with its own scraping agent (vmagent), alerting component (VMAlert), and a cluster mode for horizontal scaling.
Prometheus-compatible at scale: VictoriaMetrics accepts remote_write from Prometheus and supports PromQL-compatible queries via MetricsQL. Teams already running Prometheus can migrate their storage backend to VictoriaMetrics without touching dashboards or alert rules.
High cardinality performance: VictoriaMetrics uses a columnar storage format that handles high-cardinality label combinations — per-user metrics, per-request tracing labels, per-container series — far more efficiently than Prometheus's TSDB. This is the primary reason teams migrate to VictoriaMetrics: they've hit Prometheus cardinality walls.
Long-term retention: VictoriaMetrics handles months or years of metric retention efficiently, with downsampling support for compressed archival storage. Teams that need to query "what was our error rate during the same week last year" need long-term retention that Prometheus doesn't handle well at scale.
Self-hosted control: VictoriaMetrics runs on infrastructure you own. Your metric data stays within your network. For organizations with data residency requirements or compliance constraints on telemetry, self-hosted metrics storage is often mandatory.
What VictoriaMetrics Cannot See
VictoriaMetrics only knows what its configured scrapers and agents collect from inside your infrastructure. It stores the metrics your application exporters, infrastructure agents, and Prometheus instances report. It has no mechanism to observe your services from the outside world — and that outside view is precisely where a class of critical failures becomes visible.
What Vigilmon Does
Vigilmon is an agentless, externally managed uptime monitoring service. Nothing is deployed inside your infrastructure. Vigilmon's distributed probe network checks your services from geographically dispersed locations and applies a consensus model before alerting: multiple independent probes from different regions must all confirm a failure before an alert fires. Transient single-probe failures — momentary routing anomalies, DNS hiccups, brief timeouts — do not generate alerts.
Vigilmon monitors HTTP and HTTPS endpoints with response code and body validation, TCP ports for databases and raw socket services, SSL certificate expiry with configurable advance warning, and heartbeat checks for cron jobs and scheduled tasks that don't expose HTTP endpoints. Notifications reach Slack, PagerDuty, OpsGenie, email, and custom webhook endpoints.
Setup requires no agents, no exporters, no configuration files. You enter a URL; monitoring starts.
Feature Comparison
| Feature | VictoriaMetrics | Vigilmon | |---|---|---| | Time-series metrics storage | ✅ | ❌ | | PromQL / MetricsQL query support | ✅ | ❌ | | High cardinality handling | ✅ | ❌ | | Long-term metric retention | ✅ | ❌ | | Prometheus remote_write compatible | ✅ | ❌ | | Self-hosted / data residency control | ✅ | ❌ | | External HTTP uptime monitoring | ❌ | ✅ | | SSL certificate expiry monitoring | ❌ | ✅ | | TCP port monitoring | ❌ | ✅ | | Heartbeat / cron job monitoring | ❌ | ✅ | | Multi-region consensus alerting | ❌ | ✅ | | Outside-in probe visibility | ❌ | ✅ | | Agentless setup | ❌ (vmagent required) | ✅ | | Fully managed SaaS | ❌ | ✅ | | Free tier | ✅ (open source) | ✅ (5 monitors, no card) |
Metrics Storage vs. External Uptime: The Core Distinction
The fundamental distinction is the data source. VictoriaMetrics stores metrics that your infrastructure produces about itself. Vigilmon collects availability signals by probing your infrastructure from outside it.
This distinction matters because infrastructure self-reporting has a structural blind spot: a service can report healthy internal metrics while being completely unreachable from the outside world.
Scenario: SSL certificate expiry Your application runs normally. VictoriaMetrics receives metrics continuously. Your dashboards show green request rates and normal error rates. Your SSL certificate expires. Browser users see security warnings and cannot complete requests. HTTPS transactions fail for all external clients. VictoriaMetrics has no visibility into certificate validity from an external browser's perspective. Vigilmon's SSL monitoring had already alerted 30 days before expiry — and continues alerting until the certificate is renewed.
Scenario: Network path failure A firewall rule change blocks inbound traffic on port 443. Your application is running; metrics flow from vmagent to VictoriaMetrics normally. All dashboards show healthy. External users cannot reach your service. VictoriaMetrics, which collects metrics from inside your network, sees nothing wrong. Vigilmon's multi-region probes detect failed connections from every probe location and fire a consensus alert.
Scenario: Silent cron job failure Your nightly data export job stops running — an environment variable changed, a dependency was updated, a silent exception exits early. No HTTP endpoint fails. No Prometheus exporter reports a failure. VictoriaMetrics has no record of the job not running. Vigilmon's heartbeat monitor notices that the expected ping from the end of the job didn't arrive and alerts on the missing heartbeat.
Operational Model: Self-Hosted vs. SaaS
VictoriaMetrics and Vigilmon represent opposite ends of the build/buy spectrum.
VictoriaMetrics is self-hosted open-source software. You are responsible for deploying it, configuring scrape targets, setting up VMAlert or Alertmanager, managing storage capacity, planning for high availability, and upgrading versions. You control where your data lives and how long it's retained — critical for teams with data sovereignty requirements. The operational burden scales with your metrics volume and the maturity of your requirements.
Vigilmon is a fully managed SaaS. Probe infrastructure, consensus alerting, notification delivery, and uptime history are all Vigilmon's operational responsibility. There is no version to upgrade, no storage to provision, no HA configuration to design. The structural independence of Vigilmon from your infrastructure is a feature: if your entire infrastructure goes down, Vigilmon's probes still run from their distributed nodes and will alert you. Self-hosted monitoring tools go down with the infrastructure they monitor.
Pricing
VictoriaMetrics is Apache 2.0 open source — no licensing cost. The real costs are infrastructure (servers, storage, network) and engineering time to operate it. At meaningful scale — high cardinality, long retention, high-availability cluster mode — infrastructure costs are significant. VictoriaMetrics Enterprise and VictoriaMetrics Cloud offer managed options with usage-based pricing.
Vigilmon is a per-monitor SaaS subscription. No infrastructure costs, no storage management, no operational overhead. The permanent free tier includes 5 monitors with multi-region consensus alerting and SSL monitoring — no credit card required. Paid plans scale with monitor count and check frequency.
Recommended Approach
Teams that are choosing between VictoriaMetrics and Vigilmon are typically asking the wrong question. These tools should coexist:
- VictoriaMetrics handles internal observability: application performance metrics, infrastructure utilization, custom business metrics, long-term trend data, dashboards and alerting on internal state.
- Vigilmon handles external availability: HTTP uptime, SSL certificate validity, TCP port reachability, heartbeat monitoring for jobs that don't expose internal metrics.
Start with Vigilmon's free tier for external monitoring — it's live in minutes with no infrastructure. Add VictoriaMetrics as your internal metrics needs grow to the point where Prometheus's single-node limits become constraints.
Conclusion
Vigilmon vs VictoriaMetrics is not a competitive choice — it's a complementary architecture. VictoriaMetrics is purpose-built for storing and querying high-cardinality, long-retention Prometheus metrics from your own infrastructure, with full data control and self-hosted deployment. Vigilmon is purpose-built for confirming that your services are reachable from the outside world, with zero operational overhead and structural independence from your own infrastructure.
Teams running VictoriaMetrics know a great deal about what's happening inside their systems. They know considerably less about what users experience from outside unless Vigilmon is also running. Together, the two cover the full observability gap.
Try Vigilmon free at vigilmon.online — agentless external uptime monitoring, SSL certificate tracking, and heartbeat checks live in minutes.
Tags: #monitoring #uptime #victoriametrics #prometheus #metrics #tsdb #vigilmon #devops #sre #self-hosted #ssl #2026