Why PingMyThing exists
PingMyThing began with a practical frustration.
There was already plenty of monitoring software.
But in the environments we were supporting, more monitoring did not always mean better awareness.
Customers could not always justify Western per-device pricing. Hardware and software were often mixed or old. Broad monitoring produced large numbers of low-value alerts. Technician time was limited.
And sometimes the customer still discovered the important problem first.
So we started from a different question: What are the few things we genuinely need to know?
What grew from that question
Choose first
Do not collect broadly by default.
Keep meaning at the source
The thing that knows the answer should decide the answer.
Keep visibility separate from control
Monitoring does not automatically need administration rights.
Choose before you collect.
Most monitoring platforms are designed to see a great deal.
That is appropriate when you need diagnosis, analytics, inventory, performance data, security telemetry, management and remediation.
PMT is for a different job.
It starts by choosing the result before collecting the data.
If one small answer is enough, PMT does not require a large monitoring model around it.
Spear, not net.
A net gathers broadly and sorts things out afterwards.
A spear starts with the thing you are actually trying to hit.
For PMT:
decide what is worth knowing first, then collect that.
It does not mean broad monitoring is wrong. It means broad monitoring should not be the default when the operational requirement is narrow.
Two constraints shape the product.
Attention is finite, and operational meaning already exists somewhere before PMT receives the result.
ATTENTION IS FINITE
Monitoring itself can become work.
More checks can mean more alerts, tuning, dashboards and duplicated information.
Eventually the scarce resource is not data. It is attention.
PMT tries not to consume that attention unless the selected result deserves it.
MEANING STAYS WHERE IT ALREADY EXISTS
The script knows whether the backup succeeded. The application knows whether the sync completed. The device knows the temperature. The operator knows whether 10 GB of free disk is enough.
PMT's job is narrower:
receive → preserve → make available → surface state or expected absence
PLAINLY LIMITED
PMT does not infer root cause, reinterpret the source or manufacture a whole-system story.
PMT would rather be plainly limited than convincingly wrong.
Built to coexist.
PMT can sit beside RMM, backup software, Microsoft 365, website monitoring, scripts, applications, remote-access tools and analytical software.
If PMT disappears, the monitored system should keep working.
The loss should be visibility, not control.
The product is constrained; the audience is not.
PMT began in IT operations.
The same model can also work for software providers, web/site-care operators, remote sites, equipment, field monitoring and research.
That does not make every possible use a proven market.
The constraint is on PMT's behaviour, not on the imagination of the people using it.
The test remains simple.
Is this one thing worth knowing, and does giving it a direct path to visibility help?
If yes, PMT may have a place. If no, it probably does not.