Praktischer QA-Kurs

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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Lektion 1What Performance Testing measures

Theory and practice

ArtikelWhat Performance Testing measures

Lektion 2Workload models

Theory and practice

ArtikelWorkload models

Lektion 3Your first k6 test

Theory and practice

ArtikelYour first k6 test
WissenscheckCheck your understanding

Lektion 4Experiment types and recovery

Theory and practice

ArtikelExperiment types and recovery

Lektion 5Diagnosis and hypothesis testing

Theory and practice

ArtikelDiagnosis and hypothesis testing

Lektion 6Comparison and the capstone

Theory and practice

ArtikelComparison and the capstone
WissenscheckCheck your understanding

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

Theory and practice

ArtikelJMeter without mystery: installation and test anatomy
ArtikelHTTP in JMeter: address, body, headers and timing
ArtikelThreads, ramp-up and loops: what work are we scheduling?
ArtikelDebugging a business journey: login to an order retry
WissenscheckApplied checkpoint: test your conclusions

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

Theory and practice

ArtikelCSV and data ownership: independent users
ArtikelCorrelation: tokens, cookies and dependent requests
ArtikelAssertions and Groovy: verify meaning without unnecessary cost
ArtikelThink time, pacing and timers: defining behavior
WissenscheckApplied checkpoint: test your conclusions

Lektion 9JMeter: CLI, results and generator reliability

Theory and practice

ArtikelFrom GUI to CLI: reproducible runs and JTL
ArtikelReading a JMeter report: from tables to a defensible conclusion
ArtikelWhen the load generator is the bottleneck
ArtikelJMeter plugins and distributed runs: installation, examples and limits
WissenscheckApplied checkpoint: test your conclusions

Lektion 10k6: scenario code, lifecycle and criteria

Theory and practice

Artikelk6 as a program: init, setup, VU and teardown
ArtikelAn HTTP journey in k6: correlation and business validation
ArtikelSharedArray, VU and iteration: who owns the data?
ArtikelChecks, custom metrics and thresholds: when a test actually fails
WissenscheckApplied checkpoint: test your conclusions

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

Theory and practice

ArtikelExecutors: choose a model for the experiment question
ArtikelDropped iterations: why a fast test can miss its objective
ArtikelTags, groups and per-operation criteria
Artikelk6 browser, extensions and CI: setup and complete examples
WissenscheckApplied checkpoint: test your conclusions

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

Theory and practice

ArtikelThe request path and latency budget
ArtikelProcesses, threads, CPU and event loops without confusion
ArtikelNetworking: DNS, TCP, TLS, KeepAlive and measurement boundaries
ArtikelOS and container resources: quotas, RSS, disk and queues
WissenscheckApplied checkpoint: test your conclusions

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

Theory and practice

ArtikelWhat is a garbage collector? Objects, references and live memory
ArtikelHow GC finds and reclaims memory: generations, pauses and barriers
ArtikelG1, Serial, Parallel and ZGC: choosing an experiment
ArtikelTuning heap, CPU and pauses: change a cause, not a flag collection
WissenscheckApplied checkpoint: test your conclusions

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

Theory and practice

ArtikelReading GC logs and post-collection trends
Artikeljcmd, JFR and thread dumps: match the tool to the question
ArtikelRetention and leaks: establishing that data lives too long
ArtikelGC in Node.js and Python: what transfers and what does not
WissenscheckApplied checkpoint: test your conclusions

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

Theory and practice

ArtikelObservability architecture: metrics, logs, traces and profiles
ArtikelCounters, gauges and histograms: modeling a metric correctly
ArtikelPromQL: rates, aggregation, p95 and the correct denominator
ArtikelGrafana: a dashboard that supports investigation
WissenscheckApplied checkpoint: test your conclusions

Lektion 16Logs, traces, profiles and telemetry reliability

Theory and practice

ArtikelStructured logs, Loki and LogQL
ArtikelOpenTelemetry and Tempo: reading a trace beyond a long bar
ArtikelProfiles and cross-signal analysis: testing an explanation
ArtikelTelemetry gaps, alerts and observability cost
WissenscheckApplied checkpoint: test your conclusions

Lektion 17Bottleneck diagnosis: from symptoms to mechanism

Theory and practice

ArtikelCPU and locks: why threads stop making progress
ArtikelSQL: plans, indexes, statistics and locks
ArtikelConnection pools, queues and backpressure
ArtikelCaches, I/O and dependencies: bottlenecks beyond CPU
WissenscheckApplied checkpoint: test your conclusions

Lektion 18Overload, capacity and recovery

Theory and practice

ArtikelLoad, stress, spike, endurance and data volume
ArtikelTimeouts, deadlines, retries and idempotency
ArtikelCapacity, scaling and resource headroom
ArtikelRecovery, degradation and experiment boundaries
WissenscheckApplied checkpoint: test your conclusions

Lektion 19Statistics, SLOs and evidence-based decisions

Theory and practice

ArtikelPercentiles, histograms and sample adequacy
ArtikelWarm-up, repeatability and fair A–B comparison
ArtikelSLIs, SLOs, error budgets and release criteria
ArtikelExperiment reports and CI checks
WissenscheckApplied checkpoint: test your conclusions

Lektion 20Capstone: an independent performance investigation

Theory and practice

ArtikelDesigning the capstone investigation
ArtikelInvestigating an initially unknown slowdown
ArtikelA change, repeated comparison and recovery verification
ArtikelTechnical defense, portfolio and competence criteria
WissenscheckApplied checkpoint: test your conclusions