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2 4 . 0 5 . 2 0 2 2
Photo by Andreas Haslinger on Unsplash
3 D O N OT H A N D L E W I T H C A R E
Fragilität
Fragil
Robust
Resilient ?
Photo by Matt Artz on Unsplash
5 D O N OT H A N D L E W I T H C A R E
Fragilität
Fragil
Robust
Resilient
Antifragil
6 D O N OT H A N D L E W I T H C A R E
Fragilität
Stress
Unsicherheit
Ungenauigkeit
Ungewissheit
Volatilität
Entropie
Chaos
Turbulenzen
Zufall
Fehler
Variabilität
Zeit
Belastung
o by Chris Ried on Unsplash
8 D O N OT H A N D L E W I T H C A R E
Ist meine Software fragil?
Incidents
Prio + Anzahl
Team
Performance
9 D O N OT H A N D L E W I T H C A R E
Ist meine Software fragil?
x
Team
Zufriedenheit
Testabdeckung
+10%
-10%
10 D O N OT H A N D L E W I T H C A R E
Ist meine Software fragil?
Fragil
Robust
Resilient
Antifragil
o by Sugar Bee on Unsplash
12
− Die Natur
− Redundanzen
− Spielraum für Fehler
− Optionen
− Der Mensch
− Versucht Risiken vorauszuahnen
− Orientiert sich an der Vergangenheit
− Unterschätzt Wahrscheinlichkeiten
− In den letzten 3 Jahren hatten wir keinen
Serverausfall
− Die Cloud kann gar nicht kaputt gehen
D O N OT H A N D L E W I T H C A R E
Vom Umgang mit Prio-0 Incidents
13
− Tests sind eine gute Alternative
− Mutation Testing
− Fuzzing
− Chaos Engineering
− AI-getriebene Testerstellung
D O N OT H A N D L E W I T H C A R E
Wir wollen Incidents!
Photo by Hans Reniers on Unsplash
by Hans-Peter Gauster on Unsplash
15
− Es ist keine Willkür
− Hilft das mentale Modell zu schärfen
− Unterstützung, keine Bürde
− Fördert eine gesunde Fehler-Kultur und
Risiko-Verständnis
D O N OT H A N D L E W I T H C A R E
Failure Injection Testing
Photo by Etienne Girardet on Unsplash
16 D O N OT H A N D L E W I T H C A R E
1. Frage
2. Hypothese
3. Test
4. Analyse
5. Wiederholung
Chaos mit Plan
17
− Voraussetzung: Stabil-Zustand bekannt
− Hypothese beruht auf der erwarteten
Veränderung zum Stabil-Zustand
− Tests angelehnt an mögliche Ereignisse
− Serverausfall
− Ressourcenmangel
− Netzwerkstörung
− Vergleich zum Stabil-Zustand
D O N OT H A N D L E W I T H C A R E
Principles of Chaos
D O N OT H A N D L E W I T H C A R E
Photo by Sergei A on Unsplash
20
− Softwareentwicklung abstrakter betrachten
− Antifragilität anstreben
− Konkret:
− Probiert Chaos Engineering aus
− Probiert Mutation-Testing aus
− Probiert Fuzzing aus
D O N OT H A N D L E W I T H C A R E
Was nun?
Photo by Glenn Carstens-Peters on Unsplash
M A K S I M G U D O W
D E V B O O S T G M B H
22
− Principles of Chaos Engineering
− Detaillierte Beschreibung zur Folie 17
− PowerfulSeal
− Das in der Demo verwendete Tool
− Antifragile
− Das Buch von Nassim Nicholas Taleb
− Defend your software from yourself
− Blogbeitrag zum Thema „Mutation Testing“
D O N OT H A N D L E W I T H C A R E
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Dev Day Maksim Gudow.pdf

  • 1. 2 4 . 0 5 . 2 0 2 2 Photo by Andreas Haslinger on Unsplash
  • 2.
  • 3. 3 D O N OT H A N D L E W I T H C A R E Fragilität Fragil Robust Resilient ?
  • 4. Photo by Matt Artz on Unsplash
  • 5. 5 D O N OT H A N D L E W I T H C A R E Fragilität Fragil Robust Resilient Antifragil
  • 6. 6 D O N OT H A N D L E W I T H C A R E Fragilität Stress Unsicherheit Ungenauigkeit Ungewissheit Volatilität Entropie Chaos Turbulenzen Zufall Fehler Variabilität Zeit Belastung
  • 7. o by Chris Ried on Unsplash
  • 8. 8 D O N OT H A N D L E W I T H C A R E Ist meine Software fragil? Incidents Prio + Anzahl Team Performance
  • 9. 9 D O N OT H A N D L E W I T H C A R E Ist meine Software fragil? x Team Zufriedenheit Testabdeckung +10% -10%
  • 10. 10 D O N OT H A N D L E W I T H C A R E Ist meine Software fragil? Fragil Robust Resilient Antifragil
  • 11. o by Sugar Bee on Unsplash
  • 12. 12 − Die Natur − Redundanzen − Spielraum für Fehler − Optionen − Der Mensch − Versucht Risiken vorauszuahnen − Orientiert sich an der Vergangenheit − Unterschätzt Wahrscheinlichkeiten − In den letzten 3 Jahren hatten wir keinen Serverausfall − Die Cloud kann gar nicht kaputt gehen D O N OT H A N D L E W I T H C A R E Vom Umgang mit Prio-0 Incidents
  • 13. 13 − Tests sind eine gute Alternative − Mutation Testing − Fuzzing − Chaos Engineering − AI-getriebene Testerstellung D O N OT H A N D L E W I T H C A R E Wir wollen Incidents! Photo by Hans Reniers on Unsplash
  • 14. by Hans-Peter Gauster on Unsplash
  • 15. 15 − Es ist keine Willkür − Hilft das mentale Modell zu schärfen − Unterstützung, keine Bürde − Fördert eine gesunde Fehler-Kultur und Risiko-Verständnis D O N OT H A N D L E W I T H C A R E Failure Injection Testing Photo by Etienne Girardet on Unsplash
  • 16. 16 D O N OT H A N D L E W I T H C A R E 1. Frage 2. Hypothese 3. Test 4. Analyse 5. Wiederholung Chaos mit Plan
  • 17. 17 − Voraussetzung: Stabil-Zustand bekannt − Hypothese beruht auf der erwarteten Veränderung zum Stabil-Zustand − Tests angelehnt an mögliche Ereignisse − Serverausfall − Ressourcenmangel − Netzwerkstörung − Vergleich zum Stabil-Zustand D O N OT H A N D L E W I T H C A R E Principles of Chaos
  • 18. D O N OT H A N D L E W I T H C A R E
  • 19. Photo by Sergei A on Unsplash
  • 20. 20 − Softwareentwicklung abstrakter betrachten − Antifragilität anstreben − Konkret: − Probiert Chaos Engineering aus − Probiert Mutation-Testing aus − Probiert Fuzzing aus D O N OT H A N D L E W I T H C A R E Was nun? Photo by Glenn Carstens-Peters on Unsplash
  • 21. M A K S I M G U D O W D E V B O O S T G M B H
  • 22. 22 − Principles of Chaos Engineering − Detaillierte Beschreibung zur Folie 17 − PowerfulSeal − Das in der Demo verwendete Tool − Antifragile − Das Buch von Nassim Nicholas Taleb − Defend your software from yourself − Blogbeitrag zum Thema „Mutation Testing“ D O N OT H A N D L E W I T H C A R E Links zum weiterforschen