Corso pratico di QA

Performance Engineering: JMeter, k6 and System Diagnosis

From measurement fundamentals to an independent performance investigation: JMeter and k6, JVM and garbage collection, CPU, databases, pools and queues, Prometheus, Grafana, logs, tracing and profiling. Beginner explanations, diagrams, local laboratories, quizzes and an evidence-based capstone.

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Lezione 1What Performance Testing measures

Theory and practice

ArticoloWhat Performance Testing measures

Lezione 2Workload models

Theory and practice

ArticoloWorkload models

Lezione 3Your first k6 test

Theory and practice

ArticoloYour first k6 test
Verifica della conoscenzaCheck your understanding

Lezione 4Experiment types and recovery

Theory and practice

ArticoloExperiment types and recovery

Lezione 5Diagnosis and hypothesis testing

Theory and practice

ArticoloDiagnosis and hypothesis testing

Lezione 6Comparison and the capstone

Theory and practice

ArticoloComparison and the capstone
Verifica della conoscenzaCheck your understanding

Lezione 7JMeter: from the first launch to a correct journey

Theory and practice

ArticoloJMeter without mystery: installation and test anatomy
ArticoloHTTP in JMeter: address, body, headers and timing
ArticoloThreads, ramp-up and loops: what work are we scheduling?
ArticoloDebugging a business journey: login to an order retry
Verifica della conoscenzaApplied checkpoint: test your conclusions

Lezione 8JMeter: data, correlation, assertions and user pacing

Theory and practice

ArticoloCSV and data ownership: independent users
ArticoloCorrelation: tokens, cookies and dependent requests
ArticoloAssertions and Groovy: verify meaning without unnecessary cost
ArticoloThink time, pacing and timers: defining behavior
Verifica della conoscenzaApplied checkpoint: test your conclusions

Lezione 9JMeter: CLI, results and generator reliability

Theory and practice

ArticoloFrom GUI to CLI: reproducible runs and JTL
ArticoloReading a JMeter report: from tables to a defensible conclusion
ArticoloWhen the load generator is the bottleneck
ArticoloJMeter plugins and distributed runs: installation, examples and limits
Verifica della conoscenzaApplied checkpoint: test your conclusions

Lezione 10k6: scenario code, lifecycle and criteria

Theory and practice

Articolok6 as a program: init, setup, VU and teardown
ArticoloAn HTTP journey in k6: correlation and business validation
ArticoloSharedArray, VU and iteration: who owns the data?
ArticoloChecks, custom metrics and thresholds: when a test actually fails
Verifica della conoscenzaApplied checkpoint: test your conclusions

Lezione 11k6: workload models, VU capacity and the browser

Theory and practice

ArticoloExecutors: choose a model for the experiment question
ArticoloDropped iterations: why a fast test can miss its objective
ArticoloTags, groups and per-operation criteria
Articolok6 browser, extensions and CI: setup and complete examples
Verifica della conoscenzaApplied checkpoint: test your conclusions

Lezione 12How the system works: requests, CPU, networking and containers

Theory and practice

ArticoloThe request path and latency budget
ArticoloProcesses, threads, CPU and event loops without confusion
ArticoloNetworking: DNS, TCP, TLS, KeepAlive and measurement boundaries
ArticoloOS and container resources: quotas, RSS, disk and queues
Verifica della conoscenzaApplied checkpoint: test your conclusions

Lezione 13JVM and garbage collection: memory, mechanisms and tradeoffs

Theory and practice

ArticoloWhat is a garbage collector? Objects, references and live memory
ArticoloHow GC finds and reclaims memory: generations, pauses and barriers
ArticoloG1, Serial, Parallel and ZGC: choosing an experiment
ArticoloTuning heap, CPU and pauses: change a cause, not a flag collection
Verifica della conoscenzaApplied checkpoint: test your conclusions

Lezione 14Memory diagnosis: GC logs, JFR, leaks and other runtimes

Theory and practice

ArticoloReading GC logs and post-collection trends
Articolojcmd, JFR and thread dumps: match the tool to the question
ArticoloRetention and leaks: establishing that data lives too long
ArticoloGC in Node.js and Python: what transfers and what does not
Verifica della conoscenzaApplied checkpoint: test your conclusions

Lezione 15Prometheus and Grafana: from measurement to a readable dashboard

Theory and practice

ArticoloObservability architecture: metrics, logs, traces and profiles
ArticoloCounters, gauges and histograms: modeling a metric correctly
ArticoloPromQL: rates, aggregation, p95 and the correct denominator
ArticoloGrafana: a dashboard that supports investigation
Verifica della conoscenzaApplied checkpoint: test your conclusions

Lezione 16Logs, traces, profiles and telemetry reliability

Theory and practice

ArticoloStructured logs, Loki and LogQL
ArticoloOpenTelemetry and Tempo: reading a trace beyond a long bar
ArticoloProfiles and cross-signal analysis: testing an explanation
ArticoloTelemetry gaps, alerts and observability cost
Verifica della conoscenzaApplied checkpoint: test your conclusions

Lezione 17Bottleneck diagnosis: from symptoms to mechanism

Theory and practice

ArticoloCPU and locks: why threads stop making progress
ArticoloSQL: plans, indexes, statistics and locks
ArticoloConnection pools, queues and backpressure
ArticoloCaches, I/O and dependencies: bottlenecks beyond CPU
Verifica della conoscenzaApplied checkpoint: test your conclusions

Lezione 18Overload, capacity and recovery

Theory and practice

ArticoloLoad, stress, spike, endurance and data volume
ArticoloTimeouts, deadlines, retries and idempotency
ArticoloCapacity, scaling and resource headroom
ArticoloRecovery, degradation and experiment boundaries
Verifica della conoscenzaApplied checkpoint: test your conclusions

Lezione 19Statistics, SLOs and evidence-based decisions

Theory and practice

ArticoloPercentiles, histograms and sample adequacy
ArticoloWarm-up, repeatability and fair A–B comparison
ArticoloSLIs, SLOs, error budgets and release criteria
ArticoloExperiment reports and CI checks
Verifica della conoscenzaApplied checkpoint: test your conclusions

Lezione 20Capstone: an independent performance investigation

Theory and practice

ArticoloDesigning the capstone investigation
ArticoloInvestigating an initially unknown slowdown
ArticoloA change, repeated comparison and recovery verification
ArticoloTechnical defense, portfolio and competence criteria
Verifica della conoscenzaApplied checkpoint: test your conclusions