InfoQ Homepage Development Content on InfoQ
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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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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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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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Optimizing Search Systems: Balancing Speed, Relevance, and Scalability
Innovative software engineer focused on optimizing search performance in dynamic environments. This article highlights key strategies from our QCon San Francisco 2024 presentation, addressing challenges faced by platforms like Uber Eats in data indexing and retrieval. Our advancements ensure swift, relevant user experiences amidst ever-growing datasets.
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Ceph RBD Turns 15: a Story of Open Source Creation
Fifteen years ago, Ceph RBD began as a community-driven idea that grew into essential infrastructure powering today's cloud platforms. This insider story from Yehuda Sadeh-Weinraub reveals how two developers started a distributed storage that now supports OpenStack and Kubernetes through transparent, collaborative development.
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Effective Practices for Coding with a Chat-Based AI
In this article, we explore how AI agents are reshaping software development and the impact they have on a developer’s workflow. We introduce a practical approach to staying in control while working with these tools by adopting key best practices from the discipline of software architecture, including defining an implementation plan, splitting tasks, and so on.
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Engineering Principles for Building a Successful Cloud-Prem Solution
Discover how Cloud-Prem solutions combine cloud efficiency with on-premise control, meeting data sovereignty and compliance demands while optimizing operational costs and enhancing customer security.
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/articles/apache-kafka-stretch-cluster-failures/en/smallimage/apache-kafka-stretch-cluster-failures-thumbnail-1750152098922.jpg)
Analyzing Apache Kafka Stretch Clusters: WAN Disruptions, Failure Scenarios, and DR Strategies
Proficient in analyzing the dynamics of Apache Kafka Stretch Clusters, I assess WAN disruptions and devise effective Disaster Recovery (DR) strategies. With deep expertise, I ensure high availability and data integrity across multi-region deployments. My insights optimize operational resilience, safeguarding vital services against service level agreement violations.
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We Took Developers out of the Portal: How APIOps and IaC Reshaped Our API Strategy
Dynamic API strategist with expertise in transforming legacy management into efficient APIOps frameworks using Infrastructure as Code (IaC). Proven track record in automating API lifecycles, enhancing security, and fostering developer productivity through CI/CD integration. Adept at driving operational excellence and consistency across environments, enabling rapid deployment and innovation.
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/articles/cuda-integration-for-java/en/smallimage/cuda-integration-for-java-thumbnail-1749042271701.jpg)
Bringing GPU-Level Performance to Enterprise Java: a Practical Guide to CUDA Integration
Java developers are no longer limited by CPU cores. This guide explores how to bring GPU-level acceleration to enterprise Java using Compute Unified Device Architecture (CUDA), with a practical Java Native Interface (JNI)-based integration pattern, real-world use case, and performance benchmarks. If you're solving high-throughput challenges, this article shows how to make Java truly parallel.
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/articles/scalable-resilient-event-systems/en/smallimage/scalable-resilient-event-systems-thumbnail-1748422904015.jpg)
Designing Resilient Event-Driven Systems at Scale
Learn how to design resilient event-driven systems that scale. Explore key patterns like shuffle sharding and decoupling queues to handle load spikes and failures. Understand common pitfalls like over-relying on retries and neglecting observability for robust, scalable architectures.