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Contenido proporcionado por The Oakmont Group and John Gilroy. Todo el contenido del podcast, incluidos episodios, gráficos y descripciones de podcast, lo carga y proporciona directamente The Oakmont Group and John Gilroy 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.
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Ep. 193 Evolution of DevOps to AIOps

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Manage episode 448906280 series 3610832
Contenido proporcionado por The Oakmont Group and John Gilroy. Todo el contenido del podcast, incluidos episodios, gráficos y descripciones de podcast, lo carga y proporciona directamente The Oakmont Group and John Gilroy 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.

Connect to John Gilroy on LinkedIn https://www.linkedin.com/in/john-gilroy/

Want to listen to other episodes? www.Federaltechpodcast.com

Everyone awake in biology class remembers the difference between a somatic and an autonomic nervous system. (Cheat sheet: You can control somatic, but the other kicks in without knowing.)

What does this have to do with federal information technology?

Today, we sat down with Dave Link, the founder of Science Logic, and he talked about how to manage complex federal systems. We all know in the early days, one could use a spreadsheet to update and patch most networks.

However, today’s hybrid networks and supercharged cyber-attacks are throwing manual methods out the window. Dave Link suggests an automated approach that parallels human biology can be the answer.

For example, he calls his system an “autonomic IT.” A quick translation means that an agent can run in the background and examine the health of a network. It can evaluate and patch automatically, like the system that controls your heartbeat and respiration.

When there is an issue, a sentient human can jump in. This may be like a human being moving out of the way of an oncoming bus. This person has an operating cardiovascular system; however, a human must alter survival.

Listen to the interview to see how this human/technology parallel holds up.

  continue reading

210 episodios

Artwork
iconCompartir
 
Manage episode 448906280 series 3610832
Contenido proporcionado por The Oakmont Group and John Gilroy. Todo el contenido del podcast, incluidos episodios, gráficos y descripciones de podcast, lo carga y proporciona directamente The Oakmont Group and John Gilroy 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.

Connect to John Gilroy on LinkedIn https://www.linkedin.com/in/john-gilroy/

Want to listen to other episodes? www.Federaltechpodcast.com

Everyone awake in biology class remembers the difference between a somatic and an autonomic nervous system. (Cheat sheet: You can control somatic, but the other kicks in without knowing.)

What does this have to do with federal information technology?

Today, we sat down with Dave Link, the founder of Science Logic, and he talked about how to manage complex federal systems. We all know in the early days, one could use a spreadsheet to update and patch most networks.

However, today’s hybrid networks and supercharged cyber-attacks are throwing manual methods out the window. Dave Link suggests an automated approach that parallels human biology can be the answer.

For example, he calls his system an “autonomic IT.” A quick translation means that an agent can run in the background and examine the health of a network. It can evaluate and patch automatically, like the system that controls your heartbeat and respiration.

When there is an issue, a sentient human can jump in. This may be like a human being moving out of the way of an oncoming bus. This person has an operating cardiovascular system; however, a human must alter survival.

Listen to the interview to see how this human/technology parallel holds up.

  continue reading

210 episodios

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