InfoQ Homepage Presentations
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When AIOps Meets MLOps: What it Takes to Deploy ML Models at Scale
Ghida Ibrahim introduces the concept of AIOps referring to using AI and data-driven tooling to provision, manage and scale distributed IT infra.
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The Incident Lifecycle: How a Culture of Resilience Can Help You Accomplish Your Goals
Vanessa Huerta Granda describes how to apply resilience throughout the incident lifecycle in order to turn incidents into opportunities, looking at real-life examples.
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Fast, Scalable, Secure: WebAssembly and the Future of Isolation
Tal Garfinkel discusses the isolation technologies that underlie WebAssembly, and the limitations of the current state-of-the-art.
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Reach Next-Level Autonomy with LLM-Based AI Agents
Tingyi Li discusses the AI Agent, exploring how it extends the frontiers of Generative AI applications and leads to next-level autonomy in combination with enterprise data.
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Kubernetes without YAML
David Flanagan discusses using programming languages to describe Kubernetes resources, sharing constructs to deploy Kubernetes resources, and making Kubernetes resources testable and policy-driven.
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Building a Successful Platform: Acceleration, Autonomy & Accountability
Smruti Patel discusses successful platform adoption. She explores topics including failed platform-building efforts, the three pillars of a successful platform, and more.
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Lessons Learned from Building LinkedIn’s AI Data Platform
Felix GV provides an overview of LinkedIn’s AI ecosystem, then discusses the data platform underneath it: an open source database called Venice.
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Unpacking How Ads Ranking Works @Pinterest
Aayush Mudgal discusses social media advertising, unpacking how Pinterest harnesses the power of Deep Learning Models and big data to tailor relevant advertisements to the pinners.
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LIquid: a Large-Scale Relational Graph Database
Scott Meyer discusses LIquid, the graph database built to host LinkedIn, serving a ~15Tb graph at ~2M QPS.
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The AI Revolution Will Not Be Monopolized: How Open-Source Beats Economies of Scale, Even for LLMs
Ines Montani discusses why the AI space won’t be monopolized, covering the open-source model, common misconceptions about use cases for LLMs in industry, and principles of software development.
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Multiplying Engineering Productivity in Face of Constant Change
Shweta Saraf discusses harnessing the collective intelligence of a team to not only multiply productivity, but also cultivate organizational resilience in the face of unceasing changes.
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Building a Rack-Scale Computer with P4 at the Core: Challenges, Solutions, and Practices in Engineering Systems on Programmable Network Processors
Ryan Goodfellow discusses lessons learned and open source tooling developed while delivering a product on top of the Tofino 2 switch processor.