InfoQ Homepage Articles
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Exploring the Unintended Consequences of Automation in Software
This article lays out some of the common assumptions and misconceptions about automation and its role in software (and software incidents), what our research has found regarding how automation shows up in software incidents, and some ideas around how people can better design automated tools to help people better handle software incidents.
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Bringing AI Inference to Java with ONNX: a Practical Guide for Enterprise Architects
Java applications can now run transformer-based AI models directly within the JVM—without Python, REST wrappers, or microservices. This guide shows how to integrate ONNX-powered inference with tokenizer support, GPU acceleration, modular deployment, and observability, enabling architects in regulated domains to adopt AI without disrupting compliance or CI/CD workflows.
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A Pipeline Approach to Language Migrations
Automated language migrations can be made reliable and maintainable by structuring them as pipelines with clear, testable stages. This avoids the pitfalls of big-bang rewrites while providing transparency and modularity. The pipeline approach ensures idiomatic code, preserves legacy business logic, and supports large-scale transformations from outdated systems.
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Disaggregation in Large Language Models: the Next Evolution in AI Infrastructure
Large Language Model (LLM) inference faces a fundamental challenge: the same hardware that excels at processing input prompts struggles with generating responses, and vice versa. Disaggregated serving architectures solve this by separating these distinct computational phases, delivering throughput improvements and better resource utilization while reducing costs.
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InfoQ AI, ML and Data Engineering Trends Report - 2025
This InfoQ Trends Report offers readers a comprehensive overview of emerging trends and technologies in the areas of AI, ML, and Data Engineering. This report summarizes the InfoQ editorial team’s and external guests' view on the current trends in AI and ML technologies and what to look out for in the next 12 months.
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Engineering a Time Series Database Using Open Source: Rebuilding InfluxDB 3 in Apache Arrow and Rust
At times, to evolve your product, you need to rebuild it from scratch. The article provides the story behind the rewrite of InfluxDB from scratch using a different programming language - Rust - and stack - Apache Flight, Data Fusion, Apache Arrow and Parquet (FDAP). It emphasises the benefits, as well as the mechanics behind its operation and the different versions of the product.
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/articles/federated-credentials-management-w3c-proposal/en/smallimage/federated-credentials-management-w3c-proposal-thumbnail-1756976572775.jpg)
FedCM: a New Proposed Identity Standard That Could Change How We Log in on the Web
FedCM is a new proposed browser API for secure, frictionless, privacy-preserving federated logins. FedCM simplifies user authentication, for both user and developers and reduces the reliance on third-party cookies. The proposal is currently a public working draft moving towards a candidate recommendation from the W3C It's actively developed, with Chromium browsers already supporting it.
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Beyond the Padlock: Why Certificate Transparency is Reshaping Internet Trust
Certificate Transparency (CT) creates public, append-only logs of every TLS certificate issued, enabling detection of rogue or mistaken certificates. This article explores how CT has transformed internet PKI by moving from reliance on certificate authority trustworthiness to providing verifiable transparency that major browsers now require.
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/articles/software-engineers-excel-AI/en/smallimage/software-engineers-excel-AI-thumbnail-1756904662117.jpg)
Virtual Panel: How Software Engineers and Team Leaders Can Excel with Artificial Intelligence
Artificial intelligence is impacting the individual work of software developers, how professionals work together in teams, and how software teams are being managed. In this panel, we'll discuss how artificial intelligence is reshaping software development, and what mindset and skills are required for software developers and engineering leaders to become adaptable and resilient in the age of AI.
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/articles/architecting-rag-pipeline/en/smallimage/architecting-rag-pipeline-thumbnail-1755593892021.jpg)
Effective Practices for Architecting a RAG Pipeline
Hybrid search, smart chunking, and domain-aware indexing are key to building effective RAG pipelines. Context window limits and prompt quality critically affect LLM response accuracy. This article provides lessons learned from setting up a RAG pipeline.
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/articles/causal-reasoning-observability/en/smallimage/causal-reasoning-observability-thumbnail-1756372623637.jpg)
How Causal Reasoning Addresses the Limitations of LLMs in Observability
Large language models excel at converting observability telemetry into clear summaries but struggle with accurate root cause analysis in distributed systems. LLMs often hallucinate explanations and confuse symptoms with causes. This article suggests how causal reasoning models with Bayesian inference offer more reliable incident diagnosis.
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/articles/kotlin-multiplatform-evaluation/en/smallimage/kotlin-multiplatform-evaluation-thumbnail-1756451872984.jpg)
Evaluating Kotlin Multiplatform: Benefits and Trade-Offs in Cross-Platform Development
KMP is emerging as an alternative for cross-platform development, offering a path to share code without sacrificing the performance and feel of a native application. KMP comes with its own set of trade-offs and this article dives deep into those. While it focuses primarily on Android and iOS, KMP can be used to build desktop, web, and server-side applications, all from the same shared logic.