InfoQ Homepage Programming Content on InfoQ
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How to Apply a Product Mindset to Your Platform Team Tomorrow
Jelmer Borst explores the benefits and challenges of how organizations can make the shift from a traditional infrastructure team to "platform as a product".
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From Open Source to SaaS: the Journey of ClickHouse
Sichen Zhao and Shane Andrade discuss architectural design decisions and some of the pitfalls one may run into along the way.
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Virtual Threads for Lightweight Concurrency and Other JVM Enhancements
Ron Pressler presents how and why Java abstracted its existing thread construct to provide an alternative user-mode implementation of threads as opposed to offering a new concurrency construct.
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Responsible AI: from Principle to Practice!
Mehrnoosh Sameki discusses Responsible AI best practices to apply in a machine learning lifecycle and shares open source tools to incorporate to implement Responsible AI in practice.
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Needle in a 930M Member Haystack: People Search AI @LinkedIn
Mathew Teoh explores how LinkedIn's People Search system uses ML to surface the right person that you're looking for.
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Deconstructing an Abstraction to Reconstruct an Outage
Chris Sinjakli explores the aftermath of a complex outage in a Postgres cluster, retracing the steps taken to reliably reproduce the failure in a local environment.
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Hard Problems in Front-End Platforms
Katie Sylor-Miller discusses the world of Front-end Platform Engineering, exploring the unique challenges, strategies, and best practices involved in creating robust, scalable, and reliable systems.
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Architecting a Production Development Environment for Reliability
At Meta, developers use servers (devservers) to perform their daily work. This talk discusses their software architecture and the mechanisms employed to ensure they remain reliable and available.
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Implementing OSSF Scorecards across an Organization
Chris Swan provides a walkthrough of the steps involved in securing a first repository, and then what it takes to repeat that process across an organization with multiple repos.
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Introducing the Hendrix ML Platform: an Evolution of Spotify’s ML Infrastructure
Divita Vohra and Mike Seid discuss Spotify’s newly branded platform, and share insights gained from a five-year journey building ML infrastructure.
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ChatGPT and AI: What's Next in Large Language Model (LLM) Architectures
The panelists discuss what's next in Large Language Model (LLM) architectures used in tools like ChatGPT and how these tools will further disrupt the AI/ML space.
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Declarative Machine Learning: a Flexible, Modular and Scalable Approach for Building Production ML Models
Shreya Rajpal discusses declarative ML systems, and how they address key issues that help shorten the time taken to bring ML models to production.
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