InfoQ Homepage News
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Lessons Learned from Growing an Engineering Organization
As their organization grew, Thiago Ghisi's work as director of engineering shifted from being hands-on in emergencies to designing frameworks and delegating decisions. He suggested treating changes as experiments, documenting reorganizations, and using a wave-based communication approach to gather feedback, ensuring people feel heard and invested.
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QCon London 2025: Distributed Event-Driven Architectures across Multi-Cloud Boundaries
At QCon London 2025, Teena Idnani from Microsoft addressed the rise of multi-cloud adoption, revealing that 89% of organizations embrace this strategy. Using the fictional FinBank, she showcased practical strategies to overcome latency, resilience, event ordering, and duplication challenges, emphasizing the importance of security, observability, and continuous team education.
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Optimize AI Workloads: Google Cloud’s Tips and Tricks
Google Cloud has announced a suite of new tools and features designed to help organizations reduce costs and improve efficiency of AI workloads across their cloud infrastructure. The announcement comes as enterprises increasingly seek ways to optimize spending on AI initiatives while maintaining performance and scalability.
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QCon London: a Three-Step Blueprint for Managing Open Source Risk
At QCon London 2025, Johnson Matthey's vulnerability manager, Celine Pypaert, discussed managing open-source dependency risks while maintaining momentum in innovation. She described a three-part blueprint for handling the security challenges that arise with the now widespread use of open-source dependencies.
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Kafka 4.0: KRaft Simplifies Architecture
Apache Kafka 4.0 ushers in a transformative era by adopting KRaft mode, eliminating the need for ZooKeeper, streamlining architecture, and enhancing scalability. With a next-gen consumer group protocol for improved performance and early access to point-to-point messaging, Kafka solidifies its role in modern data streaming. Elevate your data infrastructure with Kafka’s innovative advancements!
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QCon London 2025: Kraken Technology's Approach to Renewable Energy Management
Kevin Bowman of Kraken Technology unveiled how serverless cloud solutions are revolutionizing the UK's power grid management amid a 40% surge in renewable energy. By leveraging intelligent control systems, battery storage and microservices, Kraken optimizes energy flow and grid stability while advocating for consumer cooperation and continued investment in cloud technologies for future resilience.
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AMD’s Gaia Framework Brings Local LLM Inference to Consumer Hardware
AMD has released Gaia, an open-source project allowing developers to run large language models (LLMs) locally on Windows machines with AMD hardware acceleration. The framework supports retrieval-augmented generation (RAG) and includes tools for indexing local data sources. Gaia is designed to offer an alternative to LLMs hosted on a cloud service provider (CSP).
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Meta AI Releases Llama 4: Early Impressions and Community Feedback
Meta has officially released the first models in its new Llama 4 family—Scout and Maverick—marking a step forward in its open-weight large language model ecosystem. Designed with a native multimodal architecture and a mixture-of-experts (MoE) framework, these models aim to support a broader range of applications, from image understanding to long-context reasoning.
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QCon London: Monzo's Recipe for Developer Experience: Assemble, Build, Communicate
Fabien Deshayes spoke on how Monzo has created and optimised their developer experience teams in a talk at QCon London 2025. Deshayes outlined some techniques for building an effective Developer Experience platform, focusing on three key aspects: assembling effective teams, building impactful products, and communicating value across the organisation.
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How Meta is Using a New Metric for Developers: Diff Authoring Time
Diff Authoring Time (DAT). DAT is a new metric developed by engineers at Meta to measure the duration required for developers to submit changes, known as "diffs," to the codebase. By tracking the time from the initiation of a code change to its submission, DAT offers insights into the efficiency of the development process and helps identify areas for improvement.
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Announcing QCon AI: Focusing on Practical, Scalable AI Implementation for Engineering Teams
QCon AI focuses on practical, real-world AI for senior developers, architects, and engineering leaders. Join us Dec 16-17, 2025, in NYC to learn how teams are building and scaling AI in production—covering MLOps, system reliability, cost optimization, and more. No hype, just actionable insights from those doing the work.
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Java News Roundup: Jakarta EE 11 Web Profile, GlassFish, TornadoVM, Micronaut, JHipster, Applet API
This week's Java roundup for March 31st, 2025, features news highlighting: the formal release of the Jakarta EE 11 Web Profile; the eleventh milestone release of GlassFish 8.0.0; point releases TornadoVM 1.1.0, Micronaut 4.8.0 and JHipster 8.10.0; and a new JEP candidate to remove the Applet API.
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State of React Native 2024 Survey Highlights
Conducted between December 2024 and January 2025, the State of React Native 2024 Survey collected insights from around 3,500 React Native developers to capture the current state of key tools and technologies in the React Native ecosystem and help developers make better decisions, explains Software Mansion software engineer Bartłomiej Bukowski, who curated the survey.
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AWS CodeBuild Adds Parallel Test Execution for Faster CI
AWS CodeBuild now supports parallel test execution, significantly reducing build times by allowing concurrent test suite runs across multiple environments. This feature addresses long CI pipeline cycles that impede productivity and increase costs. With intelligent test distribution and automatic result merging, developers can enhance efficiency and streamline feedback loops.
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How SREs and GenAI Work Together to Decrease eBay's Downtime: an Architect's Insights at KubeCon EU
During his KubeCon EU keynote, Vijay Samuel, Principal MTS Architect at eBay, shared his team’s experience of enhancing incident response capabilities by incorporating ML and LLM building blocks. They realised that GenAIs are not a silver bullet but can help engineers through complex incident investigations through logs, traces, and dashboard explanations.