InfoQ Homepage Programming Content on InfoQ
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Large Language Models for Code: Exploring the Landscape, Opportunities, and Challenges
Loubna Ben Allal discusses Large Language Models (LLMs), exploring the current developments of these models, how they are trained, and how they can be leveraged with custom codebases.
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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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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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Global Capacity Management through Strategic Demand Allocation
Ranjith Kumar discusses abstractions and guarantees, the design and implementation for managing workloads across 10s of regions, categorizing & modeling, and achieving global capacity management.
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Sleeping at Scale - Delivering 10k Timers per Second per Node with Rust, Tokio, Kafka, and Scylla
Lily Mara and Hunter Laine walk through the design of a system, its performance characteristics, and how they scaled it.
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Combating AI-Generated Fake Images with JavaScript Libraries
Kate Sills discusses JavaScript libraries to use for cryptographic hashes, digital signatures and timestamping, the traditional archival process, and how cryptographic hashes can prevent tampering.
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Protecting APIs in Financial Services with Zero Trust Overlay Mesh Networks
Clint Dovholuk reviews the three components of OpenZiti's architecture: controller, edge routers, and SDKs, in addition to diving into the internal physical and logical architecture of OpenZiti.
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Generative AI: Shaping a New Future for Fraud Prevention
Neha Narkhede discusses a vision for fraud and risk management that leverages the advancements in generative AI.
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Effective Performance Engineering at Twitter-Scale
Yao Yue recapitulates scaling a project at Twitter while summarizing some key lessons learned about effective performance engineering.
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Survival Strategies for the Noisy Neighbor Apocalypse
Meenakshi Jindal discusses experience and lessons learned with a case study from the Asset Management Platform at Netflix about how they detected and survived a noisy neighbor.
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Streamlining Cloud Development with Deno
Ryan Dahl discusses Deno Runtime, Deno KV: a datastore anchored by ACID transactions and powered by FoundationDB, Deno Queues, and NPM in Deno.
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