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Building Distributed Event-Driven Architectures across Multi-Cloud Boundaries
Multi-cloud event-driven architectures are now essential, not optional. With most organizations already multi-cloud, success depends on optimizing latency, ensuring resilience, and managing event consistency across providers. Key practices include code-level tuning, robust recovery policies, duplicate prevention, observability, and strong team readiness.
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When Reverse Proxies Surprise You: Hard Lessons from Operating at Scale
Operating massive reverse proxy fleets reveals hard lessons: optimizations that work on smaller systems fail at scale; mundane oversights like missing commas cause major outages; and abstractions meant to simplify become hidden fragility points. Success requires profiling on target hardware, relentlessly monitoring boring details, keeping hot paths lean, and trusting instrumentation over theory.
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Engineering a Time Series Database Using Open Source: Rebuilding InfluxDB 3 in Apache Arrow and Rust
At times, to evolve your product, you need to rebuild it from scratch. The article provides the story behind the rewrite of InfluxDB from scratch using a different programming language - Rust - and stack - Apache Flight, Data Fusion, Apache Arrow and Parquet (FDAP). It emphasises the benefits, as well as the mechanics behind its operation and the different versions of the product.
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Evaluating Kotlin Multiplatform: Benefits and Trade-Offs in Cross-Platform Development
KMP is emerging as an alternative for cross-platform development, offering a path to share code without sacrificing the performance and feel of a native application. KMP comes with its own set of trade-offs and this article dives deep into those. While it focuses primarily on Android and iOS, KMP can be used to build desktop, web, and server-side applications, all from the same shared logic.
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Best Practices for Managing Shared Libraries in .NET Applications at Scale
This article discusses real-world cases of using shared libraries, their consequences, and possible solutions to blockers caused by using them in many dependent projects.
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InfoQ Software Architecture and Design Trends Report - 2025
The InfoQ Trends Reports offer InfoQ readers a comprehensive overview of key topics worthy of attention. The reports also guide the InfoQ editorial team towards cutting-edge technologies in our reporting. In conjunction with the report and trends graph, our accompanying podcast features insightful discussions among the editors digging deeper into some of the trends.
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DiRMA: Measuring How Your Organization Manages Chaos
Elevate your disaster recovery strategy with DiRMA—an innovative framework for assessing and enhancing Disaster Recovery Testing (DiRT) maturity across people, processes, and tools. As chaos engineering becomes essential for resilience, DiRMA guides organizations through structured improvement, addressing cultural hurdles and ensuring robust recovery readiness in the face of modern challenges.
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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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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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Java Virtual Threads: a Case Study
This article explores JDK 21's virtual threads, comparing their performance with Open Liberty's thread pool. It covers key findings like throughput, ramp-up times, and memory footprint. Despite advantages, virtual threads showed unexpected performance issues, especially in CPU-intensive workloads. This analysis guides Java developers on when and how to use virtual threads in their applications.
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The AI Revolution Will Not Be Monopolized
Large language models have significantly transformed the field of artificial intelligence. The fundamental innovation behind this change is surprisingly straightforward: make the models a lot bigger. With each new iteration, the capabilities of these models expand, prompting a critical question: are we moving toward a black box era where AI is controlled by a few tech monopolies?
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How Netflix Ensures Highly-Reliable Online Stateful Systems
Building reliable stateful services at scale isn’t a matter of building reliability into the servers, the clients, or the APIs in isolation. By combining smart and meaningful choices for each of these three components, we can build massively scalable, SLO-compliant stateful services at Netflix.