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Matt Zelesko, the head of Site Reliability Engineering at Google, discusses the evolution of SRE, highlighting the shift from traditional operations to a model that balances velocity and reliability to better serve the rapid advancements in AI and ML. He emphasizes that SRE's core mission is to enable partners to move quickly while meeting reliability goals, and that the sheer scale of Google's infrastructure necessitates the SRE model for cross-system problem-solving. Zelesko envisions AI as a crucial assistant for SREs, improving incident detection, mitigation, and postmortem processes, and allowing SREs to focus on more complex engineering challenges and risk management earlier in the development cycle, while still valuing the hands-on experience of operating production infrastructure.
By Salim Virji5
1818 ratings
Matt Zelesko, the head of Site Reliability Engineering at Google, discusses the evolution of SRE, highlighting the shift from traditional operations to a model that balances velocity and reliability to better serve the rapid advancements in AI and ML. He emphasizes that SRE's core mission is to enable partners to move quickly while meeting reliability goals, and that the sheer scale of Google's infrastructure necessitates the SRE model for cross-system problem-solving. Zelesko envisions AI as a crucial assistant for SREs, improving incident detection, mitigation, and postmortem processes, and allowing SREs to focus on more complex engineering challenges and risk management earlier in the development cycle, while still valuing the hands-on experience of operating production infrastructure.

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