InfoQ Homepage Articles
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Infusing AI into Your Java applications
Equip yourself with the basic AI knowledge and skills you need to start building intelligent and responsive Enterprise Java applications. With the help of our simple chatbot application for booking interplanetary space trips, see how Java frameworks like LangChain4j with Quarkus make it easy and efficient to interact with LLMs and create satisfying applications for end-users.
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One Network: Cloud-Agnostic Service and Policy-Oriented Network Architecture
Bringing together software infrastructure leads to faster development time and easy control of large, spread-out systems through clear rules. In this QCon SF 2024 presentation, Anna Berenberg shared learnings and achievements when building One Network, addressing complex infrastructure layers, open-source integration, and uniform policy enforcement for improved reliability and security.
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Sandbox as a Service: Building an Automated AWS Sandbox Framework
This article outlines an automated AWS Sandbox Framework to provide secure, cost-controlled environments for innovation. It leverages AWS services like Control Tower and open-source tools to automate provisioning, enforce security policies, manage resource lifecycles, and optimize costs through automated cleanup and governance.
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Keep the Terminal Relevant: Patterns for AI Agent Driven CLIs
Well-designed CLIs are crucial in the agentic AI era—serving both human users and autonomous agents with precision and reliability. Treat CLI output formats as stable API contracts and prioritize adoption of the MCP protocol for agent integration from day one.
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Backend FinOps: Engineering Cost-Efficient Microservices in the Cloud
Backend FinOps integrates financial discipline into microservices, crucial for cutting cloud costs. Challenges such as resource fragmentation and cold starts underscore the need for intelligent design, effective language choice, robust tagging, and automation. Implementing FinOps via IaC, CI/CD checks, and dynamic autoscaling (e.g., Karpenter) ensures sustained efficiency.
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Building Reproducible ML Systems with Apache Iceberg and SparkSQL: Open Source Foundations
Traditional data lakes are great for storing massive amounts of stuff, but they're terrible at the transactional guarantees and versioning that ML workloads desperately need. Apache Iceberg and SparkSQL bring database-like reliability to your data lake. Time travel, schema evolution, and ACID transactions help support reproducible machine learning experiments.
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A First-Timer’s Guide to Curating a Technical Conference Track
One first-time track host shares the process, constraints, and takeaways from building a track from scratch at QCon London 2025.
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Jakarta EE 11 Overview: Virtual Threads, Records, and the Future of Persistence
Jakarta EE 11 delivers enhancements that include support for Java 17 and 21, integration with Java records and virtual threads, and the introduction of the Jakarta Data specification for unified SQL and NoSQL persistence. This release simplifies enterprise Java and establishes the groundwork for Jakarta EE 12, which will advance capabilities in data management.
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Understanding and Mitigating High Energy Consumption in Microservices
Microservices often consume more energy than monoliths due to distributed overhead. Architects can make design decisions that improve sustainability. This article covers several techniques, such as defining clear service boundaries, optimizing service granularity, using energy-efficient deployment regions, and consolidating workloads.
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Spring AI 1.0 Delivers Easy AI Systems and Services
AI is here to stay, and it represents a unique and wonderful opportunity for Java and Spring developers. For most people, “AI engineering” simply means calling an LLM-based service over HTTP. In this article, we’ll examine the new Spring AI 1.0 project and explore how it can be used to integrate AI more effectively.
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Architecting the MVP in the Age of AI
AI enhances software architecture by informing decisions, suggesting alternatives, and streamlining documentation. While it can’t replace human judgment, it accelerates MVP development and supports experimentation, trade-off analysis, and technical debt management when provided with sufficient context.
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From Legacy to Value: Building Digital Banking Products across Central and Eastern Europe
This article shares practical experiences and concrete examples from multi-site teams that built a single solution and delivered value to customers across various European markets. It provides real-life stories and lessons learned from developing two banking products, Lending and Foreign Exchange (FX), and their evolving architecture over time.