Rising bill
Contain cost without losing visibility.
Fewer unused series, tuned sampling and refined detectors to contain cost and noise.
Observability tends to grow unchecked: time series nobody queries, excessive traces and detectors that alert on everything. Cost rises and useful signal gets diluted.
Five phases, always in the same order. Select each one to see what happens in it. In full projects they map onto the stages of our method.
We review what's monitored today, with which tools, which incidents went unnoticed and what it costs.
We design the collection layer with OpenTelemetry: agents, gateways, egress paths, common attributes and sampling.
We reduce cardinality, adjust sampling and retention and tune noisy detectors.
We measure usage and cost before and after each change.
We tune cardinality, sampling and detectors based on real usage to contain cost and noise.
Contain cost without losing visibility.
Restore trust in alerts.
Tune based on real usage from the first months.
Usually yes, because part of the data is never queried. We measure this before touching anything.
At least every quarter, or after major changes to applications.
We configure tokens and limits per team to avoid surprises.
Tell us about your situation. If this service is not what you need, we will tell you; if it is, we will propose a concrete first step.
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