Engineering / advanced
Measurement that explains production behavior
Design metrics, logs, traces, sampling, and correlation so that telemetry answers operational questions within an explicit cost budget.
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Module 01 advanced
Measurement that explains production behavior
Design metrics, logs, traces, sampling, and correlation so that telemetry answers operational questions within an explicit cost budget.
- 01
Metric types encode the question you can answer
Choose counters, gauges, and distributions with correct reset, time-window, and aggregation semantics before constructing an operational query.
26 min - 02
A quantile estimate inherits its histogram's resolution
Read cumulative buckets correctly, distinguish value interpolation from rank error, and preserve compatible distributions before fleet-wide quantiles.
28 min - 03
Each label combination creates a measurement identity
Budget active series, churn, and histogram expansion while choosing bounded dimensions that preserve useful aggregation.
26 min - 04
Trace context connects observations without inventing a global clock
Propagate trace and span identity, use links for non-tree relationships, and interpret durations without equating a partial trace with complete causality.
28 min - 05
Sampling for investigation and sampling for estimation differ
Compare head, tail, and adaptive decisions while preserving inclusion probabilities and refusing biased trace counts as population error rates.
30 min - 06
Logs are versioned event records with a data boundary
Design typed event fields, timestamps, identity, and schema evolution while controlling sensitive data before it spreads through the telemetry pipeline.
27 min - 07
Exemplars connect an aggregate to an example, not a complete population
Use contextual references to move from metrics to traces and logs while measuring link resolution and preserving each signal's selection limits.
27 min - 08
A telemetry buffer postpones overload; it does not remove it
Track acceptance, queues, retries, drops, and duplicates at explicit boundaries while testing outage recovery and application backpressure.
28 min - 09
An SLI starts with eligible events and a measurement boundary
Define good events, retries, deadlines, and coverage consistently so a reliability ratio reflects the promised user operation.
29 min - 10
Budget telemetry as a production workload with its own evidence
Translate event rates, bytes, retention, replication, and burst margins into a capacity plan, then monitor the pipeline independently of its own blind spots.
29 min