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Observability 2025 with Mehdi Daoudi

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Manage episode 464657829 series 3487454
Content provided by Unriveted Media: Martin Miller & John Sukup, Unriveted Media: Martin Miller, and John Sukup. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Unriveted Media: Martin Miller & John Sukup, Unriveted Media: Martin Miller, and John Sukup or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.

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Observability 2025: A Conversation with Mehdi Daoudi, CEO of Catchpoint Systems
In this episode, Mehdi Daoudi, CEO of Catchpoint Systems, shares insights on the future of observability, AI-driven automation, and Self-Healing IT (SHIT).
Key Takeaways:
🔹 The Birth of Observability: Mehdi’s DoubleClick outage fueled his passion for performance monitoring, leading to Catchpoint’s creation in 2008.
🔹 The Future: AI-Driven, Self-Healing IT (SHIT):
In 2025, IT leaders will wake up to reports of incidents detected, mitigated, and resolved overnight—without human intervention.
🔹 Automated Resilience & Multi-Cloud Strategies:
CDN Switching: Companies like LinkedIn & eBay already automate real-time CDN optimizations for seamless performance.
Cloud Failover: Businesses are leveraging multi-cloud strategies to dynamically reroute workloads, ensuring zero downtime.
🔹 Lessons in Leadership:
Hiring Right is key—bad hires cost time and resources.
Stoicism for CEOs: Focus on what you can control and stop stressing over what you can’t.
🔹 Embrace AI, Don’t Fear It: AI won’t replace humans. Ai is here to augment IT teams and accelerate mean-time-to-resolution (MTTR).
Mehdi’s vision for Observability 2025? AI-powered SHIT (Self-Healing IT), AI-SHIT, where monitoring tools detect, diagnose, and fix issues mitigating user impact.
Link to our Book: Ai in a Weekend:
https://amzn.to/3DvxrY6
#Observability2025 #AIinBusiness #AIOps #TechLeadership #DigitalTransformation

Support the show

  continue reading

43 episodes

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iconShare
 
Manage episode 464657829 series 3487454
Content provided by Unriveted Media: Martin Miller & John Sukup, Unriveted Media: Martin Miller, and John Sukup. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Unriveted Media: Martin Miller & John Sukup, Unriveted Media: Martin Miller, and John Sukup or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.

Send us a text

Observability 2025: A Conversation with Mehdi Daoudi, CEO of Catchpoint Systems
In this episode, Mehdi Daoudi, CEO of Catchpoint Systems, shares insights on the future of observability, AI-driven automation, and Self-Healing IT (SHIT).
Key Takeaways:
🔹 The Birth of Observability: Mehdi’s DoubleClick outage fueled his passion for performance monitoring, leading to Catchpoint’s creation in 2008.
🔹 The Future: AI-Driven, Self-Healing IT (SHIT):
In 2025, IT leaders will wake up to reports of incidents detected, mitigated, and resolved overnight—without human intervention.
🔹 Automated Resilience & Multi-Cloud Strategies:
CDN Switching: Companies like LinkedIn & eBay already automate real-time CDN optimizations for seamless performance.
Cloud Failover: Businesses are leveraging multi-cloud strategies to dynamically reroute workloads, ensuring zero downtime.
🔹 Lessons in Leadership:
Hiring Right is key—bad hires cost time and resources.
Stoicism for CEOs: Focus on what you can control and stop stressing over what you can’t.
🔹 Embrace AI, Don’t Fear It: AI won’t replace humans. Ai is here to augment IT teams and accelerate mean-time-to-resolution (MTTR).
Mehdi’s vision for Observability 2025? AI-powered SHIT (Self-Healing IT), AI-SHIT, where monitoring tools detect, diagnose, and fix issues mitigating user impact.
Link to our Book: Ai in a Weekend:
https://amzn.to/3DvxrY6
#Observability2025 #AIinBusiness #AIOps #TechLeadership #DigitalTransformation

Support the show

  continue reading

43 episodes

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