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Clojure's Journey: From Simplicity to Enterprise Maturity

Jordan Miller discusses the evolution of the Clojure ecosystem, from Rich Hickey's initial vision tackling complexity to its current status as a mature enterprise solution. He explains key philosophies, highlights pivotal moments like the "Simple Made Easy" talk, and showcases the vibrant Clojure community and its innovative tools.

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Architecture & Design

Featured in Architecture & Design

Using Traffic Mirroring to Debug and Test Microservices in Production-Like Environments

Traffic mirroring has evolved from a network security tool to a robust method for debugging and testing microservices using real-world data. By safely duplicating production traffic to a shadow environment, teams can replicate elusive bugs, profile performance under actual load, validate new features, and detect regressions, ensuring that production remains isolated and user experiences intact.

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AI Infrastructure

Featured in AI, ML & Data Engineering

Rust: A Productive Language for Writing Database Applications

Carl Lerche discusses Rust's potential as a productive language for building higher-level applications like web apps and backends, traditionally seen as performance-sensitive domains. He explains how Rust's quality benefits can translate to long-term productivity and shares practical tips and tricks for using Rust effectively.

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Culture & Methods

Featured in Culture & Methods

Platform Engineering: Evolution, Trends, and Future Impact on Software Delivery

Paula Kennedy discusses the evolution, current trends, and future impact of platform engineering on software delivery. She explains paradigm shifts, shares insights from the DORA State of DevOps Report, and explores the principles of platform as a product and platform maturity models for driving organizational performance.

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DevOps

Featured in DevOps

Inflection Points in Engineering Productivity as Amazon Grew 30x

In this article, Carlos Arguelles elaborates on how engineering productivity needs a shift as organizations scale. He shares examples from his time at Google and Amazon, explaining how some architectural decisions made at these companies shaped the way they develop software. Engineering productivity investments depend on inflection points, scale, controls, data, and tooling choices.

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InfoQ Homepage Interviews Mike Keith on EJB 3

Mike Keith on EJB 3

19:35

Bio

Mike Keith is the co-specification lead of EJB 3.0 (JSR 220) and also a member of the Java EE 5 expert group (JSR 244). He has been involved in EJB since its initial release and other forms of persistence since long before EJB. He is currently an architect for OracleAS TopLink and the Oracle OC4J J2EE Container and is a popular speaker at numerous conferences and events.

About the conference

Feb 11, 2007

Interview with

Mike Keith

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