There are too many alerts and the team no longer separates urgency from noise.
Reduce alert noise and telemetry cost without going blind
We organize signals, ownership, SLOs, cardinality and retention so observability helps the team decide instead of saturating it.
- Alerts
- Less fatigue
- SLO
- Priority by impact
- Ingest
- Cost with criteria
When it fits
When noise already costs money
Cost is not only infrastructure. It is also investigation time, interruptions, lost trust and slow decisions.
Dashboards show technical symptoms but not user or business impact.
Ingestion grows by default and nobody knows which data can be reduced.
Each team owns different signals without common ownership or criteria.
What we deliver
Noise map
Duplicated alerts, fragile thresholds, ownerless signals and data that does not lead to action.
SLI/SLO model
Indicators tied to user experience and service criticality.
Cost plan
Cardinality, sampling, retention and ingestion reduction decisions.
Runbooks and ownership
Criteria so every signal has an owner, an action and a review cycle.
How we work
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Measure
We identify sources of noise, cost, volume and low-action alerts.
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Prioritize
We classify signals by impact, criticality, frequency and ownership.
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Reduce
We adjust alerts, retention, cardinality and duplicated data.
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Sustain
We define periodic review and criteria so noise does not return.
You may also need
Noise and cost FAQ
Does reducing cost mean losing data?
It should not. The idea is to keep data that supports decisions and reduce duplicates, excessive cardinality or events without operational value.
Do you work with a particular stack?
No. We are not tied to one tool. We start from your current stack, contracts and maturity, and propose what is most maintainable for your context.
Where do we start?
Usually with alerts, highest-volume sources and critical services where noise affects the team most.
Do you also review SLOs?
Yes. SLOs help decide which signals matter and which alerts reflect real impact.
Let's discuss noise, cost and useful signals
We review alerts, ingestion, cardinality and priorities to find quick improvements.
Reduce noise and cost