• airhacks.fm podcast with adam bien

  • 著者： Adam Bien
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airhacks.fm podcast with adam bien

著者： Adam Bien
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  • Java, Serverless, Clouds, Architecture and Web conversations with Adam Bien
    Adam Bien, copyright 2022
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Java, Serverless, Clouds, Architecture and Web conversations with Adam Bien
Adam Bien, copyright 2022
続きを読む 一部表示
エピソード
  • Pure Java Blockchain

    Pure Java Blockchain
    2025/04/11
    An airhacks.fm conversation with Richard Bair (@RichardBair) about: discussion about Hedera public ledger and its underlying technology, explanation of Hashgraph algorithm for consensus and transaction ordering, comparison to other blockchain technologies like Bitcoin and ethereum, Hedera's democratic approach to block production versus leader-based systems, the Linux Foundation project called Hiero where Hedera's code is being moved, explanation of how nodes gossip transactions and come to consensus, the role of the Hedera Governing Council including companies like Dell and IBM, discussion of HBAR as the native token and fee system, comparison of Hedera's fixed dollar-denominated fees versus fluctuating fees in other blockchains, explanation of staking mechanism and how it creates a representative democracy for node selection, technical details about Hedera's Java implementation using Java 21 and modern language features, use of ZGC garbage collector with 200GB heap on consensus nodes, deployment on Linux using docker, discussion of Java modules and challenges with libraries like Netty, custom Protobuf to Java compiler called PBJ for performance optimization, consideration of replacing Netty with Helidon for better virtual thread support, discussion of supply chain security concerns and minimizing dependencies, custom logging implementation to avoid bloated frameworks like Log4j, importance of deterministic code execution across all nodes, challenges of distributed systems where iteration order must be consistent, explanation of node synchronization mechanisms when nodes fall behind, comparison to serverless cloud pricing models, discussion of vertical versus horizontal scaling in blockchain systems

    Richard Bair on twitter: @RichardBair
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    1 時間 1 分
  • High-Performance Load Testing

    High-Performance Load Testing
    2025/04/06
    An airhacks.fm conversation with Francesco Nigro (@forked_franz) about: discussion about the importance of stress testing over System Tests and unit tests, Coordinated Omission Problem in load generators where they don't accurately measure server performance during slowdowns, introduction to HyperFoil as a high-performance load generator capable of generating millions of requests per second with just two cores, explanation of how HyperFoil avoids GC overhead by pre-allocating resources, the architecture of HyperFoil using Netty event loops and a graph-based execution model, comparison with other load testing tools like JMeter, K6, Apache Benchmark and Vegeta, introduction to QDUP as a shell automation tool for distributed testing, overview of Horreum for performance test results storage and analysis, explanation of how these tools work together in Red Hat's performance testing pipeline, discussion of JCTools and its importance for GC-free concurrent data structures, the Universal Scalability Law and its application to load balancing algorithms, the pick-two-random algorithm for efficient resource allocation, the benefits of using JBang for easy one-line execution of HyperFoil, potential drawbacks of HyperFoil including ergonomics and JIT compilation warm-up issues, the possibility of using GraalVM native image to avoid JIT compilation delays

    Francesco Nigro on twitter: @forked_franz
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    1 時間 10 分
  • Enterprise LLM Integration: Bridging Java and AI in Business Applications

    Enterprise LLM Integration: Bridging Java and AI in Business Applications
    2025/03/30
    An airhacks.fm conversation with Burr Sutter (@burrsutter) about: discussion about integrating LLMs into enterprise Java applications, challenges with non-deterministic LLM outputs in deterministic code environments, limitations of chat interfaces for power users in enterprise settings, preference for form-based applications with prompts running behind the scenes, using LLMs to understand unstructured data while providing structured interfaces, maintaining existing CRUD systems while using LLMs for unstructured data like emails and support tickets, practical examples of using LLMs to generate code from business requirements, creating assistants with system messages and short user prompts, potential for embeddings to replace text prompts in the future, developer journey in learning LLM integration including prompts, tools, RAG, and agentic workflows, benefits of specialized agents over one general agent, using LLMs for code generation with limitations for complex use cases, hybrid approaches combining LLMs with human oversight, using LLMs for email routing and support case classification, potential for extracting knowledge from enterprise data sources like Confluence and SharePoint, quality assurance with LLM judges, discussion of small language models versus large ones, model distillation and fine-tuning for specific enterprise use cases, cost considerations for model training versus using off-the-shelf models with better tool invocation, prediction that models will become more efficient and run on commodity hardware in the future, focus on post-training inference and reliable results

    Burr Sutter on twitter: @burrsutter
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    1 時間 5 分

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