InfoQ Homepage SOA Content on InfoQ
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Keeping ChatGPT Fast as AI Development Accelerates
Martin Spier shares how agentic coding accelerates release velocity at OpenAI and explains how always-on AI agents redefine performance engineering to keep ChatGPT fast at massive scale.
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Compiling Workflows into Databases: the Architecture That Shouldn't Work (But Does)
Jeremy Edberg & Qian Li explain how to replace complex external orchestrators with DBOS Transact, an open-source library that implements durable workflow execution directly inside your database.
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Advanced Message Queuing Politics
John O'Hara discusses the 18-year journey of AMQP, from a bank's internal need to an ISO standard.
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Optimizing Custom Workloads with RISC-V
Ludovic Henry shares how RISC-V's open, modular architecture optimizes custom workloads, addressing urgent AI hardware demand & proprietary limits.
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Monorepos: beyond the Technicalities
Tiago Bento analyzes software development workflows without ignoring the human factor and the status quo (most likely a poly-repo setting).
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API Showdown: REST vs. GraphQL vs. gRPC – Which Should You Use?
Alex Borysov, Matt McLarty and Michelle Garrett discuss REST, GraphQL, and gRPC, what it takes to get started, and when each is the right/wrong tool for the job.
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Declarative APIs in an Imperative World
Tilde Thurium explains problems the Atom Editor team came across when they started using React as their UI framework, as well as the solutions they came up with.
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Apache Kafka Event-streaming Platform for .NET Developers
Viktor Gamov reviews Kafka -internal architecture, fault-tolerance, message durability- and how the Confluent .NET client offers a framework for computation over streaming data.
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RabbitMQ and Kafka
Zoe Vance, Madhav Sathe discuss the architecture and design of RabbitMQ and Kafka, and how that impacts performance, scalability and app design.
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Practical DDD: Bounded Contexts + Events => Microservices
Indu Alagarsamy talks about the intersection of Domain Driven Design as a software discipline with Messaging as a technology counterpart.
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Automating Machine Learning and Deep Learning Workflows
Mourad Mourafiq discusses automating ML workflows with the help of Polyaxon, an open source platform built on Kubernetes, to make machine learning reproducible, scalable, and portable.
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MLflow: An Open Platform to Simplify the Machine Learning Lifecycle
Corey Zumar offers an overview of MLflow – a new open source platform to simplify the machine learning lifecycle from Databricks.
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