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AI-Augmented Chaos Engineering in Practice with Bartek Pisulak

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Manage episode 523204310 series 1163503
Contenido proporcionado por PurePerformance. Todo el contenido del podcast, incluidos episodios, gráficos y descripciones de podcast, lo carga y proporciona directamente PurePerformance o su socio de plataforma de podcast. Si cree que alguien está utilizando su trabajo protegido por derechos de autor sin su permiso, puede seguir el proceso descrito aquí https://es.player.fm/legal.
Chaos Engineering is the practice to introduced controlled failures into a system with the goal to improve the overall resiliency! What started with "lets see what happens when we unplug that server" to "lets simulate network latency issues" or "lets kill critical pods and see if the system recovers gracefully" is now seeing new experiments being conducted that are identified by a new companion: AI
In this episode we have invited Bartek Pisulak, Dir of Cloud Quality Engineering at Pegasystems, who has been educating quality engineers on AI-Augmented Chaos Testing in Practice. Tune in and learn about the how AI can improve efficiency in the 5 critical phases of a chaos experiment: Steady State, Hypothesis, Run Experiment, Verify, Improve!
To learn more about the foundational principles make sure to watch some of the conference talks from Bartek listed below:
Links discussed
Bartek's LinkedIn: https://www.linkedin.com/in/bart%C5%82omiej-pisulak-82b94036/
Talk at Cloud Native Days Austria: https://www.youtube.com/watch?v=xUVCKNpMEz8&list=PLtLBTEzR4SqU9GwgWiaDt10-yOVIN0nzM&index=10
Talk at Porto Tech Hub: https://www.youtube.com/watch?v=-ZuEaA2PoTo
Kraken: https://github.com/krkn-chaos/krkn
ChasoEater: https://github.com/ntt-dkiku/chaos-eater
  continue reading

325 episodios

Artwork
iconCompartir
 
Manage episode 523204310 series 1163503
Contenido proporcionado por PurePerformance. Todo el contenido del podcast, incluidos episodios, gráficos y descripciones de podcast, lo carga y proporciona directamente PurePerformance o su socio de plataforma de podcast. Si cree que alguien está utilizando su trabajo protegido por derechos de autor sin su permiso, puede seguir el proceso descrito aquí https://es.player.fm/legal.
Chaos Engineering is the practice to introduced controlled failures into a system with the goal to improve the overall resiliency! What started with "lets see what happens when we unplug that server" to "lets simulate network latency issues" or "lets kill critical pods and see if the system recovers gracefully" is now seeing new experiments being conducted that are identified by a new companion: AI
In this episode we have invited Bartek Pisulak, Dir of Cloud Quality Engineering at Pegasystems, who has been educating quality engineers on AI-Augmented Chaos Testing in Practice. Tune in and learn about the how AI can improve efficiency in the 5 critical phases of a chaos experiment: Steady State, Hypothesis, Run Experiment, Verify, Improve!
To learn more about the foundational principles make sure to watch some of the conference talks from Bartek listed below:
Links discussed
Bartek's LinkedIn: https://www.linkedin.com/in/bart%C5%82omiej-pisulak-82b94036/
Talk at Cloud Native Days Austria: https://www.youtube.com/watch?v=xUVCKNpMEz8&list=PLtLBTEzR4SqU9GwgWiaDt10-yOVIN0nzM&index=10
Talk at Porto Tech Hub: https://www.youtube.com/watch?v=-ZuEaA2PoTo
Kraken: https://github.com/krkn-chaos/krkn
ChasoEater: https://github.com/ntt-dkiku/chaos-eater
  continue reading

325 episodios

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