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bongoDev | Analyze Results: Correlation, Causation & Bottleneck Proof - Performance Engineering & Load Testing Pro

TopicPerformance Engineering & Load Testing Pro

01Performance Engineering Mental Model: Measure Before You OptimizePreview
02Performance Requirements: SLOs, Budgets & Acceptance Criteria
03Latency, Throughput, Concurrency & RPS: Know What You Are Measuring
04Percentiles, Histograms & Tail Latency
05Little's Law, Queueing & Saturation Intuition
06Performance Test Types: Smoke, Load, Stress, Spike, Soak & Breakpoint
07Workload Modeling: Turn Production Traffic into a Realistic Test
08Open vs Closed Workload Models & Coordinated Omission
09Test Environment Engineering & Production Realism
10Performance Test Plan: Hypothesis, Scope, Safety & Exit Criteria
11k6 Fundamentals: Script, VUs, Iterations, Checks & Results
12k6 Scenarios & Executors: Model Traffic Precisely
13k6 Thresholds, Checks, Custom Metrics & Tags
14k6 Test Data, Correlation, Authentication & State
15Protocol Testing: HTTP, gRPC, WebSockets & Browser-Level Performance
16Apache JMeter Fundamentals: Test Plans, Thread Groups & Samplers
17JMeter Parameterization, Correlation, Assertions & Reuse
18JMeter Distributed Testing & Load-Generator Sizing
19Load-Testing Tool Selection: k6, JMeter, wrk, Vegeta, Locust & Gatling
20Validate the Load Generator: Prove Your Test Can Generate the Intended Load
21Observe the System Under Test: Metrics, Logs, Traces & Profiles
22RED, USE & Golden Signals for Performance Tests
23CPU Performance: Utilization, Run Queue, Throttling & Profiling
24Memory, Garbage Collection, Leaks & Allocation Pressure
25Disk I/O, Filesystems & Storage Latency
26Network, TCP, TLS & Load Balancer Performance
27Database Performance: Queries, Indexes, Locks & Connection Pools
28Cache Performance: Hit Ratio, Stampedes, Eviction & Hot Keys
29Kafka, Queues & Backpressure Under Load
30Application Profiling: Hot Paths, N+1 Calls & Serialization Costs
31Concurrency, Threads, Event Loops, Locks & Pool Saturation
32Kubernetes Performance: Requests, Limits, Throttling & Scheduling
33Autoscaling Performance: HPA Reaction, Warm-Up & Scaling Lag
34Cloud Load Balancers, API Gateways & Serverless Performance
35Frontend & CDN Performance: Payload, Caching & User-Perceived Speed
36Microservices & Distributed Latency Budgets
37Performance Regression Testing in CI/CD
38Test Data, Isolation & Repeatability
39Soak Testing: Leaks, Drift & Long-Running Stability
40Spike & Burst Testing: Flash Crowds and Sudden Demand
41Breakpoint Testing & the Performance Knee
42Analyze Results: Correlation, Causation & Bottleneck Proof
43Optimization Workflow: Fix the Bottleneck, Re-Test & Prevent Regression
44Rate Limiting, Admission Control & Graceful Degradation Under Load
45Timeouts, Retries & Retry Amplification in Performance Tests
46Performance Baselines, Variance & Statistical Thinking
47Performance Reports: Communicate Findings to Engineers & Leaders
48100k Requests Lab: Design the Test Before Chasing the Number
49Performance Incident Debugging Playbook
50Performance Engineering Command & Query Playbook
51Performance Engineering & Load Testing Pro Cheatsheet

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Knowledge Hub/Performance Engineering & Load Testing Pro/Analyze Results: Correlation, Causation & Bottleneck Proof

Performance Engineering & Load Testing Pro

Paid lesson · Advanced · 38 min read

Analyze Results: Correlation, Causation & Bottleneck Proof

Turn test output into a defensible explanation of what limited performance and how you know.

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This lesson is part of the paid course.

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PreviousBreakpoint Testing & the Performance KneeLocked NextOptimization Workflow: Fix the Bottleneck, Re-Test & Prevent RegressionLocked

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