InfoQ Homepage QCon San Francisco 2023 Content on InfoQ
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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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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.
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Mission, Culture, and Values: Using Them to Guide Your Company through Good and Challenging Times
Heather McKelvey discusses LinkedIn’s guidelines used to weather events, such as economic downturns, and how to turn those periods into opportunities.
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Understanding Architectures for Multi-Region Data Residency
Alex Strachan discusses challenges to build multi-region data storages, understanding why and when a business needs to do this, who are the real stakeholders, and who owns what.
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From Mainframes to Microservices - the Journey of Building and Running Software
Suhail Patel discusses the platforms and software patterns that made microservices popular, and how virtual machines and containers have influenced how software is built and run at scale today.
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Streaming Databases: Embracing the Convergence of Stream Processing and Databases
Yingjun Wu discusses the evolution of streaming databases, and the features and design principles that set streaming databases apart from conventional database systems and stream processing engines.
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Use Engineering Strategy to Reduce Friction and Improve Developer Experience
Will Larson discusses what problems engineering strategy solves, examples of real engineering strategies, how to rollout engineering strategy, troubleshooting why your strategy rollout isn’t working.
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Optimizing JVM for the Cloud: Strategies for Success
Tobi Ajila discusses the challenges and innovations in JVM performance for cloud deployments, highlighting the integration of these JVM features with container technologies.
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Modern Compute Stack for Scaling Large AI/ML/LLM Workloads
Jules Damji discusses which infrastructure should be used for distributed fine-tuning and training, how to scale ML workloads, how to accommodate large models, and how CPUs and GPUs can be utilized.
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Server Driven UI - Streamlining Mobile Development and Release
Thomas Chao discusses SDUI for mobile, what they are, why they are starting to become more prevalent, and the spectrum of possible options one can consider when looking into an SDUI framework.
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Building Guardrails for Enterprise AI Applications W/ LLMs
Shreya Rajpal introduces Guardrails AI, an open-source platform designed to mitigate risks and enhance the safety and efficiency of LLMs.
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