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(Sponsored) Simplifying Data Center Management with Apstra

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Manage episode 448771786 series 3444546
Вміст надано A.J., Andy, Dan, and Kevin and A.J.. Весь вміст подкастів, включаючи епізоди, графіку та описи подкастів, завантажується та надається безпосередньо компанією A.J., Andy, Dan, and Kevin and A.J. або його партнером по платформі подкастів. Якщо ви вважаєте, що хтось використовує ваш захищений авторським правом твір без вашого дозволу, ви можете виконати процедуру, описану тут https://uk.player.fm/legal.

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To learn more about Juniper Networks Apstra visit juniper.net/aone
Unlock the potential of AI Ops in data centers with insights from Shean Leigon, a senior product manager at Juniper Networks. Discover how AI operations, often seen as mystical, are instead practical tools that can enhance network engineering, especially in wireless and access layers. Shean delves into Juniper's strategic integration of AI through platforms like Mist and Marvis, offering a roadmap for data centers eager to embrace enhanced automation and reliability without succumbing to hype.
Explore the nuances of Juniper's Apstra solution, designed to ensure your network's intended state aligns impeccably with its actual state. Apstra utilizes a cutting-edge graph database to maintain a clear network topology, effectively managing challenges like cabling mismatches and day-two operations. With Marvis, the Virtual Network Assistant, the complexity of data is transformed into intuitive insights for network operators, streamlining issue resolution and improving communication within organizations. Shean emphasizes the importance of service mapping in reducing downtime and highlights the tools that empower network engineers to tackle application issues with confidence.
As the episode unfolds, the discussion tackles the integration of new security solutions in large enterprise environments, spotlighting the transformative potential of AI Ops in simplifying data correlation. Shean shares advancements in predictive analysis and impact assessment within data centers, underscoring the critical role of service awareness in prioritizing crucial actions. The conversation wraps up with a look at AI and automation's role in capacity planning and network maintenance, encouraging a healthy skepticism while acknowledging AI as a significant ally in the evolving landscape of network management.

Find everything AONE right here: https://linktr.ee/artofneteng

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Розділи

1. Exploring AI Ops in Data Centers (00:00:00)

2. AIOps in Data Centers (00:05:43)

3. Enhancing Data Center Operations With Marvis (00:15:44)

4. Optimizing Network Operations With AIOps (00:23:17)

5. Predictive Analysis and Impact Assessment (00:29:00)

6. Data Center Efficiency and Integration" (00:33:46)

164 епізодів

Artwork
iconПоширити
 
Manage episode 448771786 series 3444546
Вміст надано A.J., Andy, Dan, and Kevin and A.J.. Весь вміст подкастів, включаючи епізоди, графіку та описи подкастів, завантажується та надається безпосередньо компанією A.J., Andy, Dan, and Kevin and A.J. або його партнером по платформі подкастів. Якщо ви вважаєте, що хтось використовує ваш захищений авторським правом твір без вашого дозволу, ви можете виконати процедуру, описану тут https://uk.player.fm/legal.

Send us a text

To learn more about Juniper Networks Apstra visit juniper.net/aone
Unlock the potential of AI Ops in data centers with insights from Shean Leigon, a senior product manager at Juniper Networks. Discover how AI operations, often seen as mystical, are instead practical tools that can enhance network engineering, especially in wireless and access layers. Shean delves into Juniper's strategic integration of AI through platforms like Mist and Marvis, offering a roadmap for data centers eager to embrace enhanced automation and reliability without succumbing to hype.
Explore the nuances of Juniper's Apstra solution, designed to ensure your network's intended state aligns impeccably with its actual state. Apstra utilizes a cutting-edge graph database to maintain a clear network topology, effectively managing challenges like cabling mismatches and day-two operations. With Marvis, the Virtual Network Assistant, the complexity of data is transformed into intuitive insights for network operators, streamlining issue resolution and improving communication within organizations. Shean emphasizes the importance of service mapping in reducing downtime and highlights the tools that empower network engineers to tackle application issues with confidence.
As the episode unfolds, the discussion tackles the integration of new security solutions in large enterprise environments, spotlighting the transformative potential of AI Ops in simplifying data correlation. Shean shares advancements in predictive analysis and impact assessment within data centers, underscoring the critical role of service awareness in prioritizing crucial actions. The conversation wraps up with a look at AI and automation's role in capacity planning and network maintenance, encouraging a healthy skepticism while acknowledging AI as a significant ally in the evolving landscape of network management.

Find everything AONE right here: https://linktr.ee/artofneteng

  continue reading

Розділи

1. Exploring AI Ops in Data Centers (00:00:00)

2. AIOps in Data Centers (00:05:43)

3. Enhancing Data Center Operations With Marvis (00:15:44)

4. Optimizing Network Operations With AIOps (00:23:17)

5. Predictive Analysis and Impact Assessment (00:29:00)

6. Data Center Efficiency and Integration" (00:33:46)

164 епізодів

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