Use cases
Mugnsoft is a distributed monitoring platform, but the fastest way to understand it is to see what teams actually do with it. Each use case below maps a real problem to the Mugnsoft components and monitor types that solve it.
The platform is built from four components — Webserver (central management and UI), Monitor probes (run the checks), Integrator (forward data out), and Sentinel Agent (host and process metrics). The scenarios below combine them in different ways. See Getting started for the underlying concepts.
1. Catch a customer-facing outage before your customers do
Problem. Your checkout flow breaks at 2 a.m. and you only find out when support tickets pile up the next morning.
With Mugnsoft. Record the full business transaction — log in, add to cart, pay — as an EUM (browser) monitor and schedule it every few minutes from one or more probes. When a step fails, the probe captures a screenshot, video, and HAR file, and the Webserver alerts your on-call channel immediately.
| You use | For |
|---|---|
| EUM monitor | The multi-step browser scenario |
| Monitor probe(s) | Running the scenario on a schedule, close to the user |
| Alerting (Email / Slack / Teams / PagerDuty) | Notifying on-call the moment a step breaks |
2. Monitor an API or website from several locations
Problem. The application is fast from your data center but slow for users in another region, and you cannot tell where the latency comes from.
With Mugnsoft. Deploy probes in each region and point the same URL or API monitor at the endpoint from every probe. The Webserver shows per-probe response time, so a regional slowdown is obvious. Add SSL-expiry and content-pattern checks so a certificate or a broken page never slips through.
| You use | For |
|---|---|
| URL / API monitor | HTTP/HTTPS availability, response time, status code, content match |
| Multiple probes | Measuring from each location your users sit in |
| Certificate checks | Alerting before a TLS certificate expires |
3. Watch the infrastructure underneath the application
Problem. The website is “up” but a database, cache, or network device behind it is degrading.
With Mugnsoft. Mix the lightweight protocol monitors to cover the stack: TCP for open ports, Ping for latency/jitter/packet loss, DNS for resolution, Database for query health, and SNMP for network gear. Group them so one red signal points straight at the failing layer.
| You use | For |
|---|---|
| TCP / Ping / DNS monitors | Port, latency, and resolution health |
| Database monitor | Running a real query and validating the result (MySQL, MSSQL) |
| SNMP monitor | Polling switches, routers, and appliances |
4. See the whole service as one status
Problem. A single service depends on a dozen monitors, and a wall of individual green/red lights does not tell you whether the service is healthy.
With Mugnsoft. Group related monitors into an Application. The Application rolls its members up into one aggregated status using a business rule, and renders the dependency graph in 2D and 3D. One glance answers “is the service healthy?” — then you drill down to the failing monitor.
| You use | For |
|---|---|
| Applications | Aggregating many monitors into one business-level status |
| Dependency / 3D views | Seeing how components relate and where the red originates |
| Tags | Scoping each team to the applications they own |
5. Publish a status dashboard without exposing the platform
Problem. You want partners or the public to see service health, but the monitoring console must stay on the internal network.
With Mugnsoft. Run a Webserver-Front replica in the DMZ. It receives a sanitized, read-only copy of the dashboards over a one-way encrypted channel and serves them to untrusted users — with no path back to the probes or any secret. Embed the App or 3D view straight into your own portal with a copy-paste iframe.
| You use | For |
|---|---|
| Webserver-Front | A read-only DMZ dashboard host, no license needed |
| Dashboard embedding | Dropping a live status view into a custom portal |
6. Stop alert noise during planned maintenance
Problem. A scheduled deployment fires dozens of false alerts every week and trains the team to ignore them.
With Mugnsoft. Define a Downtime window — once or on a recurring cron schedule — over the affected tags. Monitors pause and alerting is suppressed for the window, then resume automatically. No more 2 a.m. pages for a planned restart.
| You use | For |
|---|---|
| Downtimes | Suppressing alerts during planned maintenance |
| Tags | Targeting exactly the monitors a change affects |
7. Feed monitoring data into your existing stack
Problem. You already run Grafana, Splunk, or Elastic and want Mugnsoft’s results alongside the rest of your observability data.
With Mugnsoft. Point an Integrator at your downstream systems. It forwards monitoring results to InfluxDB, Splunk, Elasticsearch, Kafka, Zabbix, and more, so you can build dashboards and correlations in the tools you already use. See the Integration guides.
| You use | For |
|---|---|
| Integrator | High-throughput forwarding to third-party systems |
| Integration guides | Wiring up Grafana, Splunk, Elastic, InfluxDB, Zabbix |
8. Automate monitoring as code
Problem. You spin services up and down constantly and cannot click through a UI to create monitors each time.
With Mugnsoft. Everything in the UI is backed by the REST API. Generate a long-lived API key and create, update, or delete monitors from your CI/CD pipeline or an infrastructure-as-code workflow — so monitoring is provisioned with the service it watches. See API usage recipes.
| You use | For |
|---|---|
| REST API + API keys | Programmatic monitor lifecycle management |
| API usage recipes | Ready-made automation workflows |
See also
- Getting started — concepts and terminology behind these scenarios
- Usage — step-by-step guides for the operations above
- API usage recipes — automate the scenarios with the REST API
- Integration — forward data to Grafana, Splunk, Elastic, and more