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Calculators for SRE & Observability Teams

Quick answers to the questions that come up in every observability budget review. Everything runs in your browser; nothing you enter is sent anywhere.

Metric Cardinality Calculator

See how labels multiply into time series, and why adding a tenant or customer ID can turn a reasonable bill into an unreasonable one.

Labels and distinct values
%
Possible series per metric
192,000
Estimated active series
960,000

Tools that bill per series or per custom metric charge for each active series. In a columnar store such as ClickHouse, the same labels cost only the bytes they add to each stored row.

SLO Error Budget Calculator

Turn an SLO into minutes of allowed downtime, and see how fast the current error rate is burning through it.

%
days
%
Error budget
43.2 min
Allowed error rate
0.1%
Current burn rate
5×
Budget gone in
144 h

A burn rate of 1× uses the budget exactly over the window. A common alerting pattern pages at 14.4× over one hour and opens a ticket at 6× over six hours.

Telemetry Storage Estimator

Estimate raw ingest and compressed storage for logs or spans before you size a ClickHouse cluster.

bytes
days
×
Raw ingest per day
2,592 GB
Raw ingest per month
77.76 TB
Stored after compression
3.63 TB

Compression depends on your data. Columnar storage of logs and spans commonly reaches 5–15×; measure yours with a day of real traffic before sizing disks. Add headroom for replication and merges.

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