InfoQ Homepage QCon London 2023 Content on InfoQ
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Socially Responsible Companies - Do We All HAVE to Change the World?
Germán Bencci discusses if traditional for-profit businesses should worry about creating social impact, presenting a formula of how (almost) any product can create a positive social impact.
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Staff+ Engineering beyond Big Techs: How to Succeed in the Technical Path in Non-Tech Companies
Loiane Groner discusses how non-tech companies need to invest in more experienced technical professionals to have competitive advantage and how they can be attractive to Staff+ Engineers.
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Trust Deterministic Execution to Scale and Simplify Your Systems
Frank Yu discusses how to make a mission critical business logic deterministic and fast, providing both intuitive and not-so-obvious architecture choices.
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Multi-Region Data Streaming with Redpanda
Michał Maślanka introduces the design of Redpanda’s Multi-Region feature, and describes how they leveraged Raft’s properties, a constraint solver, automatic data balancing, and tiered storage.
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You Can Go Your Own Way: Navigating Your Own Career Path
Erin Schnabel shares what she learned in the course of her journey to Distinguished Engineer, sharing insights and ideas that can be used to find and shape opportunities and create a career.
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In-Process Analytical Data Management with DuckDB
Hannes Mühleisen discusses DuckDB, an analytical data management system that is built for an in-process use case. DuckDB speaks SQL, is integrated as a library, and uses query processing techniques.
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Can Green Software Engineering Solve the Climate Crisis?
Sara Bergman overviews the emerging green software engineering, then dives into understanding the challenges related to assessing and mitigating the carbon impacts of software systems.
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Beyond Micro Frontends: Effective Composable Decoupled Applications on Cloud Native Infrastructure
Natalia Venditto discusses supporting infrastructure and how cloud-native and the Web Platform APIs are paving the way to push the boundaries of what was once known as the Jamstack and micro-frontends
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Graph Learning at the Scale of Modern Data Warehouses
Subramanya Dulloor outlines an approach to addressing the challenges of warehouses and shows how to build an efficient and scalable end-to-end system for graph learning in data warehouses.
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Getting Developers into F1 Driver Seats with Security?
Henry Tze discusses a platform to develop on, automation, a perimeter to safeguard the best assets, and a user-centric container foundation.2
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From Runtime Efficiency to Carbon Efficiency
Michal Dorko discusses Goldman Sachs’s proprietary language, Slang, a core technology responsible for booking trades, quoting prices and analysing risk, among other use cases.
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LSEG Cloud Lessons Learned: after Nearly a Decade of Being Cloud-First, What Have We Learned?
Oli Bage shares LSEG’s organizational, economic and technical tips about the journey to cloud. He talks about the CDMC standard, and where analytics might head in the future.