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Google Cloud has introduced Agents CLI within its Agent Platform, aiming to streamline the development lifecycle of AI agents from local prototyping to production deployment. The release targets a common challenge in agent development, where tooling and infrastructure are often fragmented across multiple services and environments.
GitHub has introduced a new approach to improving deployment safety by leveraging eBPF, enabling the company to detect and prevent hidden circular dependencies that could block recovery during outages.
The presenters discuss incident response, how AI-enhanced SRE platforms connect signals from logs, metrics, traces, and historical incidents to enable autonomous decisions.
Molly Struve discusses a brutal six-day outage that nearly sank a company. She explains technical lessons like the importance of FMEAs, shadow traffic, and exercising rollback mechanisms. She shares why the human elements - widening your circle early and having a VP who acts as a defender - are what truly build psychological safety.
Effectively measuring the performance of applications that are leveraging Large Language Models (LLM) is critical to the adoption of AI technologies in organizations. Legare Kerrison and Cedric Clyburn from RedHat team recently spoke at Arc of AI 2026 Conference about practical methods to evaluate and optimize LLM inference.
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Created by Michael Levin Dec 18, 2008 at 6:56pm. Last updated by Michael Levin May 4, 2018.
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Google Cloud Introduces Agents CLI to Streamline AI Agent Development Lifecycle
Google Cloud has introduced Agents CLI within its Agent Platform, aiming to streamline the development lifecycle of AI agents from local prototyping to production deployment. The release targets a common challenge in agent development, where tooling and infrastructure are often fragmented across multiple services and environments.
By Robert KrzaczyńskiGitHub Uses eBPF to Eliminate Deployment Risks and Prevent Circular Failures
GitHub has introduced a new approach to improving deployment safety by leveraging eBPF, enabling the company to detect and prevent hidden circular dependencies that could block recovery during outages.
By Craig RisiPresentation: AI-Powered SRE for Autonomous Incident Response
The presenters discuss incident response, how AI-enhanced SRE platforms connect signals from logs, metrics, traces, and historical incidents to enable autonomous decisions.
By Rohit Dhawan, Pavan Madduri, Alina Astapovich, Goutham Rao, Renato LosioPresentation: Week-Long Outage: Lifelong Lessons
Molly Struve discusses a brutal six-day outage that nearly sank a company. She explains technical lessons like the importance of FMEAs, shadow traffic, and exercising rollback mechanisms. She shares why the human elements - widening your circle early and having a VP who acts as a defender - are what truly build psychological safety.
By Molly StruveLegare Kerrison and Cedric Clyburn on LLM Performance and Evaluations
Effectively measuring the performance of applications that are leveraging Large Language Models (LLM) is critical to the adoption of AI technologies in organizations. Legare Kerrison and Cedric Clyburn from RedHat team recently spoke at Arc of AI 2026 Conference about practical methods to evaluate and optimize LLM inference.
By Srini Penchikala