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Cours pratique d'assurance qualité

QA Engineer Toolset: From Request to Evidence

A practical course covering DevTools, Postman, SOAP/SoapUI, SQL clients, logs, Kibana, Prometheus, Grafana, Netdata, Kafka, proxy/network tools, BrowserStack/TestMu AI, Docker, CI, and OpenTelemetry.

Séances d'apprentissage 16Cours complet · gratuit

Aperçu du cours

Sur quoi vous travaillerez

A practical course covering DevTools, Postman, SOAP/SoapUI, SQL clients, logs, Kibana, Prometheus, Grafana, Netdata, Kafka, proxy/network tools, BrowserStack/TestMu AI, Docker, CI, and OpenTelemetry.

Programme du cours

Explorez le parcours d’apprentissage complet.

Explorez les titres des leçons et des sujets ici. Inscrivez-vous et connectez-vous pour lire les documents et passer les contrôles de connaissances gratuitement.

Leçon 11. Tool choice and evidence safety

Theory, examples, and practice

  • ArticlesFrom a question to a reproducible evidence packet
  • Contrôle des connaissancesApplied checkpoint
Leçon 22. Terminal, files, JSON, and Git

Theory, examples, and practice

  • ArticlesRepeat the work without interface magic
  • Contrôle des connaissancesApplied checkpoint
Leçon 33. Browser DevTools in depth

Theory, examples, and practice

  • ArticlesFrom a visible defect to network, state, and execution
  • Contrôle des connaissancesApplied checkpoint
Leçon 44. Postman: collections, environments, and tests

Theory, examples, and practice

  • ArticlesFrom a manual request to a repeatable API scenario
  • Contrôle des connaissancesApplied checkpoint
Leçon 55. Newman, Postman CLI, and OpenAPI

Theory, examples, and practice

  • ArticlesFrom a local collection to a reproducible API check
  • Contrôle des connaissancesApplied checkpoint
Leçon 66. SOAP, WSDL, and SoapUI

Theory, examples, and practice

  • ArticlesXML contracts, SOAP Faults, and a controlled service
  • Contrôle des connaissancesApplied checkpoint
Leçon 77. SQL clients and data-state evidence

Theory, examples, and practice

  • ArticlesSafe database reading with DBeaver or DataGrip
  • Contrôle des connaissancesApplied checkpoint
Leçon 88. Graylog: log search and signals

Theory, examples, and practice

  • ArticlesFrom a correlation ID to a verifiable timeline
  • Contrôle des connaissancesApplied checkpoint
Leçon 99. Elasticsearch and Kibana

Theory, examples, and practice

  • ArticlesFrom documents and mappings to a reproducible Discover search
  • Contrôle des connaissancesApplied checkpoint
Leçon 1010. Prometheus and PromQL

Theory, examples, and practice

  • ArticlesMetric types, correct rates, and tested alerts
  • Contrôle des connaissancesApplied checkpoint
Leçon 1111. Grafana and OpenTelemetry

Theory, examples, and practice

  • ArticlesCorrelating metrics, logs, and traces without invented causes
  • Contrôle des connaissancesApplied checkpoint
Leçon 1212. Netdata and host diagnosis

Theory, examples, and practice

  • ArticlesRapid resource inspection without replacing service evidence
  • Contrôle des connaissancesApplied checkpoint
Leçon 1313. Kafka and event-driven systems

Theory, examples, and practice

  • ArticlesPartitions, offsets, retries, and evidence of completed processing
  • Contrôle des connaissancesApplied checkpoint
Leçon 1414. Proxy and network tools

Theory, examples, and practice

  • ArticlesRequest modification, TLS boundaries, and packet evidence
  • Contrôle des connaissancesApplied checkpoint
Leçon 1515. BrowserStack and TestMu AI

Theory, examples, and practice

  • ArticlesRisk-based browser and device matrices, tunnels, and trustworthy artifacts
  • Contrôle des connaissancesApplied checkpoint
Leçon 1616. Toolset capstone

Theory, examples, and practice

  • ArticlesFrom a contradictory symptom to a peer-reproducible decision
  • Contrôle des connaissancesApplied checkpoint