We set up monitoring and alerting for your cloud, your devices and your AI agents, on open-source tools you own.
etalon: A reference standard that other measurements are checked against. We set one for your systems, so you can see when they leave it.
Three patterns we see in almost every audit. Each one is a drift away from a standard nobody wrote down.
Commercial platforms charge by volume. We build on open-source tools such as Grafana, Loki, Tempo, Mimir and Prometheus to bring cost back under your control.
When every alert fires too often, people stop trusting them. We tune alerts so they point to real problems.
Systems run in production without enough metrics, logs or dashboards. We instrument them and build the views your team needs.
Illustrative data.
Every industry has a different signal that tells you something is wrong. Pick a sector to see the one we watch first.
Request latency distribution, ms
Are users waiting longer than the service level objective?
p95 msabove SLO
Each column is one minute of requests; brighter cells hold more requests. The line is the 95th percentile.
Request latency per minute over the last 30 minutes. The 95th percentile stays under the 300 ms objective most of the time and rises above it during a regression, which is the moment to act.
Meter energy, kWh per 15 min
Did every meter report on time, and does the load look normal?
kWh last intervallate reading
Bars are 15-minute readings. A hatched slot is a reading that has not arrived yet.
Meter energy in 15-minute intervals over the last 8 hours. One recent reading has not arrived yet and is marked as late, so a gap in billing data is visible before anyone asks.
Devices reporting, by site
Which machines went quiet, and is it one device or a whole site?
of 120 reportingdevices silent
Each square is one device. Filled means reporting. Hollow means silent for more than five minutes.
120 devices across five sites. Single devices drop out now and then, and sometimes a whole site goes quiet, which points to a network or gateway problem rather than a machine.
Zone temperature, °C
Which zones have left their setpoint band?
of 6 zones in bandzones out of band
The shaded band is each zone's setpoint range. The marker is the current reading.
Six building zones against their setpoint bands. The meeting rooms drift above their band while the other zones stay inside, so the problem is local to one zone.
Cost per request (EUR) and evaluation score
Has answer quality or cost per request left its baseline?
eval scorebelow quality threshold
Bars are cost per request. The line is the evaluation score, and the dashed line is the quality threshold.
Cost per request and evaluation score per minute over the last 30 minutes. The score stays above the 0.80 threshold most of the time and drops below it during a regression while cost per request rises, which is the moment to act.
Illustrative data, not from a client system.
Open-source tools from collection to dashboards, run in your own AWS account. You keep the data, the configuration and the know-how.
5 to 14 days, fixed scope, fixed price. You get a ranked list of what to fix first.
Your current metrics, logs, traces and alerts.
What your observability tooling costs and where the cost comes from.
A session with your engineers on what we found.
A written report ranked by impact, and a plan for the stack we would use.
Teams in Germany, Belgium and the United States.
Cut monitoring costs by about 80 percent by moving from Logz.io to managed Grafana, then automated equipment onboarding and fleet updates.
Grafana across three AWS environments in Pulumi: 25 dashboards built from templates, alerts routed to each customer, and a move from Cognito to Auth0.
Telegraf reads cogeneration units, heat pumps and meters over Modbus at three sites. Energy monitors and market prices sit beside them in Grafana.
In one to two weeks we review your monitoring, logs and alerts and tell you what to fix first.