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High-Salary Performance Engineering Careers
·
Module 1
Performance Measurement and Statistical Reasoning
1
Key Performance Metrics in System Analysis
Distinguish response time, service time, wait time, throughput, concurrency, and utilization in a performance scenario.
2
Calculating and Validating Latency Percentiles
Compute p50, p95, and p99 latencies from a request-level dataset and verify their ordering.
3
Diagnosing Median Latency Regressions
Diagnose a median-latency regression when tail latency appears unchanged by checking traffic mix, time windows, labels, and aggregation.
4
Applying Little's Law to Performance Metrics
Calculate the relationship among throughput, concurrency, and response time using Little’s Law.
5
Analyzing Test Result Phases
Separate warm-up, steady-state, and cool-down observations in a test result.
6
Evaluating Practical Significance in Regression
Determine whether an observed regression is practically meaningful using median differences, dispersion, and a confidence interval.
7
Understanding Coordinated Omission in Latency Reporting
Detect coordinated omission and explain how it distorts reported latency.
8
Defining SLIs and Acceptance Thresholds
Define measurable service-level indicators and performance acceptance thresholds for one user journey.
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