InfoQ Homepage Infrastructure Content on InfoQ
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Binary Size Matters: the Challenges of Fitting Complex Applications in Storage-Constrained Devices
This article explores developing software for microcontrollers in C or C++, where constraints are the limited amount of volatile memory and the embedded hardware platform on which the software runs. It shows how to adopt languages like C++ while optimizing for binary size due to stringent hardware constraints, and trade off between runtime efficiency and binary size in architecture decisions.
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How to Compute without Looking: a Sneak Peek into Secure Multi-Party Computation
This article shows how you can compute a function across multiple parties that do not trust each other without forcing them to share their individual inputs. This technique can be used to split secrets among parties, perform logical operations, or count votes in a way that ensures data privacy is preserved.
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Eclipse LMOS: Launching AI Agents across Europe at Breakneck Speed
In this talk, the authors share some of our company’s key learnings in developing customer-facing LLM-powered applications deployed across Europe. They used multi-agent architecture and systems design to create an open-source set of tools, a framework, and a full-fledged platform to accelerate the development of AI agents. This is a summary of a presentation from InfoQ Dev Summit Boston 2024.
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Transforming Legacy Healthcare Systems: a Journey to Cloud-Native Architecture
Discover how Livi navigated the complexities of transitioning MJog, a legacy healthcare system, to a cloud-native architecture, sharing valuable insights for successful tech modernization. Our experience illustrates that transitioning from legacy systems to cloud-based microservices is not a one-time project, but an ongoing journey.
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Efficient Resource Management with Small Language Models (SLMs) in Edge Computing
Small Language Models (SLMs) bring AI inference to the edge without overwhelming the resource-constrained devices. In this article, author Suruchi Shah dives into how SLMs can be used in edge computing applications for learning and adapting to patterns in real-time, reducing the computational burden and making edge devices smarter.
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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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Taking Advantage of Cell-Based Architectures to Build Resilient and Fault-Tolerant Systems
Cell-based architectures offer a robust approach to building resilient systems. They achieve this through the core principles of isolation, autonomy, and replication. Each cell manages its resources and makes decisions autonomously. Observability for cell-based architecture requires a tailored approach to address the unique challenges and opportunities presented by this distributed system design.
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Optimizing Wellhub Autocomplete Service Latency: a Multi-Region Architecture
Every company wants fast, reliable, and low-latency services. Achieving these goals requires significant investment and effort. In this article, I will share how Wellhub invested in a multi-region architecture to achieve a low-latency autocomplete service.
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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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Building a Global Caching System at Netflix: a Deep Dive to Global Replication
Netflix's EVCache system handles 400M ops/second across 22,000 servers, managing 14.3 PB of data. This infrastructure ensures global availability and resilience through intelligent data routing and flexible replication strategies. By implementing batch compression and switching to DNS-based discovery, Netflix optimizes efficiency, reduces bandwidth usage and significantly lowers operational costs.
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How to Minimize Latency and Cost in Distributed Systems
Explore the benefits and challenges of microservices architecture in cloud environments, focusing on achieving resilience and high availability while managing costs and performance issues.
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Are You Done Yet? Mastering Long-Running Processes in Modern Architectures
In this article, Bernd Ruecker explores the importance of long-running processes in various applications, particularly in distributed systems. He emphasizes the value of asynchronous communication and explores strategies like Centers of Excellence, along with visual tools like BPMN for enhancing communication and understanding. The contents of this article were presented during QCon London 2024.
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Cloud-Native Architecture Meets Cloud Cost: Design Strategies That Scale Without Surprises
Struggling to manage cloud costs without losing agility? Learn how to use Infrastructure-as-Code (IaC) to align cloud-native design with cost optimization—covering autoscaling, ephemeral environments, and consistent, budget-aware operations.