Artwork

Contenido proporcionado por Joe Colantonio. Todo el contenido del podcast, incluidos episodios, gráficos y descripciones de podcast, lo carga y proporciona directamente Joe Colantonio 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.
Player FM : aplicación de podcast
¡Desconecta con la aplicación Player FM !

DevOps Crime Scenes: Using AI-Driven Failure Diagnostics

30:17
 
Compartir
 

Manage episode 423213163 series 2625788
Contenido proporcionado por Joe Colantonio. Todo el contenido del podcast, incluidos episodios, gráficos y descripciones de podcast, lo carga y proporciona directamente Joe Colantonio 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.

Today, we have a special guest, Harpreet Singh, the co-founder and co-CEO of Launchable. Harpreet joins us to discuss an exciting frontier in software testing—using machine learning to predict failures and streamline the testing process.

Imagine a tool that can intelligently shift tests left in the development cycle, prioritize the most critical tests based on risk, and notify you via Slack when issues arise—all while continually learning and improving.

This is precisely what Harpreet and his team have achieved with Launchable. Their platform integrates seamlessly into CI/CD pipelines and provides engineering teams with valuable insights to speed up the process of identifying and fixing test failures.

In this episode, we'll delve into how Launchable aids in catching issues earlier, the profound influence of AI on the testing landscape, and real-life examples like BMW that illustrate the solution's effectiveness. We'll also explore Harpreet's advice on adopting a targeted approach to AI in DevOps and how their solution alleviates cognitive load, saving developers time and effort.

Try out SmartBear's Bugsnag for free, today. No credit card required. https://links.testguild.com/bugsnag

  continue reading

145 episodios

Artwork
iconCompartir
 
Manage episode 423213163 series 2625788
Contenido proporcionado por Joe Colantonio. Todo el contenido del podcast, incluidos episodios, gráficos y descripciones de podcast, lo carga y proporciona directamente Joe Colantonio 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.

Today, we have a special guest, Harpreet Singh, the co-founder and co-CEO of Launchable. Harpreet joins us to discuss an exciting frontier in software testing—using machine learning to predict failures and streamline the testing process.

Imagine a tool that can intelligently shift tests left in the development cycle, prioritize the most critical tests based on risk, and notify you via Slack when issues arise—all while continually learning and improving.

This is precisely what Harpreet and his team have achieved with Launchable. Their platform integrates seamlessly into CI/CD pipelines and provides engineering teams with valuable insights to speed up the process of identifying and fixing test failures.

In this episode, we'll delve into how Launchable aids in catching issues earlier, the profound influence of AI on the testing landscape, and real-life examples like BMW that illustrate the solution's effectiveness. We'll also explore Harpreet's advice on adopting a targeted approach to AI in DevOps and how their solution alleviates cognitive load, saving developers time and effort.

Try out SmartBear's Bugsnag for free, today. No credit card required. https://links.testguild.com/bugsnag

  continue reading

145 episodios

Todos los episodios

×
 
Loading …

Bienvenido a Player FM!

Player FM está escaneando la web en busca de podcasts de alta calidad para que los disfrutes en este momento. Es la mejor aplicación de podcast y funciona en Android, iPhone y la web. Regístrate para sincronizar suscripciones a través de dispositivos.

 

Guia de referencia rapida

Escucha este programa mientras exploras
Reproducir