iiinova — where your digital self keeps evolving

Suhail Patel, Senior Staff Engineer at Monzo, on calibrating AI code review within high-signal CI pipelines: High-quality CI checks are deterministic and built to catch real logic issues.

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Parasail lets agents run LLM performance experiments on the same GPUs that serve customers. Ben Segal shows the infrastructure behind it at #QConSF. Read the session abstract: buff.ly/kLrhAol

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LinkedIn runs 500k+ bare-metal machines, 5M pods and 110k+ deploys a week, and developers never touch raw Kubernetes. Ronak Nathani explains the platform at #QConSF. Read the session abstract: buff.ly/z7vLhUn

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What changes when AI moves from an employee tool to a system that carries out work across an organization? Jason Zhou covers that shift at #QConAI New York. Read the session abstract: buff.ly/ZQ7I4Qz

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David Lin, Founder and CEO at Linvest21, on how AI changed the customization-vs-scale trade-off in enterprise software: For decades, customization and scale were enemies in commercial software. You chose one.

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Ross McFarlane, Technical Architect at Form3, on latency trade-offs in triple-active multi-cloud across geographic distances: Triple-active multi-cloud works when your clouds are close. Spread across the US, every database write and every message requires quorum.

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QCon @qconferences.com · 27/09/2026

Kevin Holditch, Engineering Leader at Form3, on proving the multi-cloud availability zone model in a real GCP outage: Google Cloud had one of its largest outages. The team's only alert was pods crash looping in GCP. Payments kept flowing, picked up by the other clouds.

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Andreea Niculcea, Vice President at Morgan Stanley, on building and operating API platforms at scale:

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QCon @qconferences.com · 27/09/2026

Saranya Vedagiri, Senior Staff Engineer at eBay, on building and sustaining low-latency systems at scale:

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QCon @qconferences.com · 26/09/2026

Jim Gough, Distinguished Engineer & API Platform Lead Architect at Morgan Stanley, on building and operating API platforms at scale:

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QCon @qconferences.com · 26/09/2026

Julian Wreford, Team Lead, Operability at Gearset, on distributed tracing and observability for queue-based systems:

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QCon @qconferences.com · 26/09/2026

Saranya Vedagiri, Senior Staff Engineer at eBay, on building and sustaining low-latency systems at scale:

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Ian Cooper, Senior Principal Engineer at Just Eat Takeaway, on managing asynchronous APIs and schema evolution at scale: SNS on AWS gives you about 10 message attributes. Add Cloud Events headers and you have used most of them.

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Agent evaluation and governance often span disconnected tools and generic benchmarks. Mehrnoosh Sameki, Principal PM Manager @Microsoft, on two open-source projects connecting evaluation and runtime controls: buff.ly/1I8C2d2

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Jim Gough, Distinguished Engineer & API Platform Lead Architect at Morgan Stanley, on building and operating API platforms at scale: At production scale, the speed at which you can respond to a security patch matters.

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Oli Lane, Engineering Team Lead at Gearset, on distributed tracing and observability for queue-based systems:

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Saranya Vedagiri, Senior Staff Engineer at eBay, on building and sustaining low-latency systems at scale:

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Shawna Martell, Principal Software Engineer @Imprint and QCon London 2027 Program Committee member, on the Staff+ Engineering Skills track. Explore the 15-track program: buff.ly/b8GkpEK #StaffEngineering #QConLondon

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Ian Cooper, Senior Principal Engineer at Just Eat Takeaway, on managing asynchronous APIs and schema evolution at scale:

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40%+ of Honeycomb's weekly active users now run production queries through its MCP server via agents. Liz Fong-Jones on what made that usable in practice: buff.ly/5CngCkZ

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Andreea Niculcea, Vice President at Morgan Stanley, on building and operating API platforms at scale:

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Most ML models never make it from notebook to device. Nina Thigpen, Director of Women's Health @Google, on what changes when you actually have to ship them: buff.ly/MPmVvxW

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Julian Wreford, Team Lead, Operability at Gearset, on distributed tracing and observability for queue-based systems:

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Saranya Vedagiri, Senior Staff Engineer at eBay, on building and sustaining low-latency systems at scale:

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350 Duolingo employees have used BuildingHub to create internal tools, with 800+ agent-built apps and no new backend for each one: buff.ly/RXN8Gqn

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Dan Finneran, Principal Community Advocate at Isovalent at Cisco, on low-level Linux tooling for Kubernetes debugging and AI app security:

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Jim Gough, Distinguished Engineer & API Platform Lead Architect at Morgan Stanley, on building and operating API platforms at scale:

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Oli Lane, Engineering Team Lead at Gearset, on distributed tracing and observability for queue-based systems:

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Saranya Vedagiri, Senior Staff Engineer at eBay, on building and sustaining low-latency systems at scale:

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Ian Cooper, Senior Principal Engineer @JustEatTakeaway, on managing asynchronous APIs and schema evolution at scale:

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Dan Finneran, Principal Community Advocate at Isovalent @Cisco, on low-level Linux tooling for Kubernetes debugging and AI app security:

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AI can amplify the strengths and dysfunctions already inside an engineering organization. Nathen Harvey of DORA on what that means for AI adoption: buff.ly/KwvRg04

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Jim Gough & Andreea Niculcea, @MorganStanley, on building and operating API platforms at scale: When AI enters the picture, your API consumers shift from known systems to a mix of apps, agents, and developers trying things out.

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Julian Wreford & Oli Lane, @Gearset, on distributed tracing and observability for queue-based systems:

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Saranya Vedagiri, Senior Staff Engineer at eBay, on building and sustaining low-latency systems at scale: 120ms vs 80ms doesn't sound dramatic. Users experience latency as friction, and friction compounds.

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Prefill is compute-intensive. Decode is memory-bound. At Cerebras, Nancy Zheng's team built a production disaggregated inference platform to run them separately: buff.ly/HftE0QC

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Dan Finneran, Principal Community Advocate at Isovalent at Cisco, on low-level Linux tooling for Kubernetes debugging and AI app security:

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Jim Gough & Andreea Niculcea, @Morgan Stanley, on building and operating API platforms at scale:

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Julian Wreford & Oli Lane, @Gearset, on distributed tracing and observability for queue-based systems:

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