InfoQ Homepage Programming Content on InfoQ
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Cell-Based Architecture Adoption Guidelines
The challenges in building modern, reliable, and understandable distributed systems continue to grow, and cell-based architecture is a valuable way to accept, isolate, and stay reliable in the face of failures. Organizations must ensure that the cell-based architecture is the right fit for them and that the migration will not cause more problems than it solves.
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Securing Cell-Based Architecture in Modern Applications
Securing cell-based architecture is essential to fully capitalize on its benefits while minimizing risks. To achieve this, comprehensive security measures must be put in place. Organizations can start by isolating and containing cells using sandbox environments and strict access control mechanisms like role-based and attribute-based access control.
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Article Series: Cell-Based Architectures: How to Build Scalable and Resilient Systems
In this article series, we take readers on a journey of discovery and provide a comprehensive overview and in-depth analysis of many key aspects of cell-based architectures, as well as practical advice for applying this approach to existing and new architectures.
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How Functional Programming Can Help You Write Efficient, Elegant Web Applications
Many things can make software more challenging to understand and, consequently, to maintain. One of the most complex and problematic causes is managing internal mutable states. When the internal state is poorly managed, the software behaves unexpectedly, leading to bugs and fixing, which introduces unnecessary complexity. FP solves this problem by providing immutability mechanisms and more.
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Virtual Panel: What to Consider When Adopting Large Language Models
Four experts discuss some issues people should think about when adopting LLMs and how they can make the best choice for their specific use case. Topics include how to choose between an API-based vs. self-hosted LLM, when to fine-tune an LLM, how to mitigate LLM risks, and what non-technical changes organizations need to make when adopting LLMs.
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Navigating LLM Deployment: Tips, Tricks, and Techniques
This article focuses on self-hosted LLMs and how to get the best performance from them. The author provides best practices on how to overcome challenges due to model size, GPU scarcity, and a rapidly evolving field.
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Embracing Reactive Applications on JVM: a Deep Dive into Modern I/O Models and Vert.x
This article discusses the shift from blocking to non-blocking and asynchronous I/O models, highlighting their role in modern software development. It focuses on Vert.x, a toolkit for building reactive applications on the JVM, featuring the Multi-Reactor Pattern, Event Bus, and Verticles. Vert.x is ideal for cloud, Big Data, and IoT, as shown through benchmarks and real-world examples.
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Article Series: Practical Applications of Generative AI
Generative AI (GenAI) has become a major component of the artificial intelligence (AI) and machine learning (ML) industry. However, using GenAI comes with challenges and risks. In the InfoQ "Practical Applications of Generative AI" article series, we present real-world solutions and hands-on practices from leading GenAI practitioners.
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/articles/llama3-deployment-applications/en/smallimage/Llama-3-in-Action-tingyi-li-small-logo-1725894826762.jpg)
Llama 3 in Action: Deployment Strategies and Advanced Functionality for Real-World Applications
This article details the enhanced capabilities of the open-source Llama 3 LLM, and how businesses can adopt the model in their applications. The author gives step-by-step instructions for deploying Llama 3 in the cloud or on-premise, and how to leverage fine-tuned versions for specific tasks.
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WebAssembly and Containers: Orchestrating Distributed Architectures with .NET Aspire
Running, composing, and debugging distributed applications on the local developer machine can be difficult, error-prone, and time-intensive. Those daily tasks could be dramatically simplified thanks to .NET Aspire. In this article, we will quickly dive into .NET Aspire and illustrate how you can orchestrate next-generation distributed applications.
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/articles/ai-ml-data-engineering-trends-2024/en/smallimage/InfoQ-Trend-Report-logo-image-small-1725350877013.jpg)
InfoQ AI, ML and Data Engineering Trends Report - September 2024
InfoQ editorial staff and friends of InfoQ are discussing the current trends in the domain of AI, ML and Data Engineering as part of the process of creating our annual trends report.
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Efficient DevSecOps Workflows with a Little Help from AI
Michael Friedrich is exploring how teams face varying levels of inefficiency in their DevSecOps processes, hindering progress and innovation. He highlights common issues like excessive debugging time and inefficient workflows, while also demonstrating how Artificial Intelligence (AI) can be a powerful tool to streamline these processes and boost efficiency.