Observability Costs & Signals: Log Volumes, Metric Cardinality, Trace Sampling, Retention Tiers & Alert Noise
Size and price your monitoring: log GB per day, metric series from label combinations, trace sampling rates, retention tiers and how many alerts are worth waking up for, with every cell checked as you go.
One-time payment · lifetime access · lessons, labs, exam and certificate included · no subscription.
About this course
This course turns an observability bill into spreadsheet work you can check. For a fictional online shop you convert events per second and bytes per event into GB per day per service, count metric series from label combinations with PRODUCT, and compare head sampling with a tail rule that keeps every error trace. You price hot, warm and archive retention with INDEX/MATCH, compare per-GB, per-host and per-series plans with MAX and MIN, and calculate savings from dropping debug logs and lowering sampling without counting GB twice. You finish with alert-noise rates from COUNTIFS, wasted on-call minutes and a cost-per-service dashboard with a chart.
Lessons
- Log Volume: Events per Second, Bytes per Event & GB per Day Pro
- Metric Cardinality: Series from Label Combinations & the Label That Explodes the Bill Pro
- Trace Sampling: Head vs Tail Rules, Errors Kept & Stored Spans Pro
- Retention Tiers: Hot, Warm & Archive Days and the Monthly Storage Bill Pro
- Pricing Models: Per GB, per Host or per Series and the Cheapest Plan per Team Pro
- Cutting Volume: Debug Logs, Shorter Retention, Lower Sampling & What Stays Visible Pro
- Alert Noise: Alerts per Week, Actionable Share, Repeats & Wasted On-Call Minutes Pro
- The Observability Budget: Cost per Service, per 1,000 Requests & Budget vs Actual Pro