InfoQ Homepage Presentations
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How Big Tech Lost Its Way
Andy Walker discusses his experiences of seeing things change from the inside, how big tech makes decisions and what can be learned from how we got here.
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A Big Dashboard of Problems: Creating Preventative Security Strategies
Travis McPeak explores the forefront of simple and effective preventative security strategies.
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Malignant Intelligence?
Alasdair Allen discusses the potentially ethical dilemmas, new security concerns, and open questions about the future of software development in the era of machine learning.
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Enhance: SSR for Web Components
Brian LeRoux discusses Enhance, a way to build web apps with the pure web standards.
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Effective and Efficient Observability with OpenTelemetry
Daniel Gomez Blanco shares his experience leading a large-scale observability initiative at Skyscanner, based on the adoption of OpenTelemetry across hundreds of services.
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Taming Configuration Complexity Made Fun with CUE
Marcel van Lohuizen discusses configuration at scale including the design of CUE, how configuration can go wrong, the need for testing and validation, and how CUE does holistic configuration.
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Five Principles for Enablement with (Almost) Nothing to Do with Building Tools
Steph Egan shares five principles used to build support, make a broad impact on teams, and inspire change at the BBC.
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Rethinking Reliability: What You Can (and Can't) Learn from Incidents
Courtney Nash discusses research collected from the VOID, challenging standard industry practices for incident response and analysis, like tracking MMTR and using RCA methodology.
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Connecting the Dots: API Design in a Distributed World
Ben Gamble explores API Design through the lens of a developer and a consumer of internal and external APIs.
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Sprinkling eBPF onto Your Observability
Frederic Branczyk discusses the eBPF's capabilities. Beyond that, Branczyk will demonstrate the real-world use of eBPF in next-generation Observability tooling.
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What is Derived Data? (and Do You Already Have Any?)
Felix GV explains what derived data is, and dives into four major use cases which fit in the derived data bucket, including: graphs, search, OLAP and ML feature storage.
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The Future of Work: How Flexibility Unlocks Potential for People and Organizations
Brian Elliott discusses the last two years which created a massive discontinuity in how we work, and now the debate takes place asking if we should be going back or investing to move forward?
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