JavaScript broke the web (and called it progress)

JavaScript broke the web (and called it progress) 19th June, 2025 Most websites are awful. Not just slow – awful. Bloated, fragile, over-engineered disasters. They load slowly, render erratically, and hide their content behind megabytes of JavaScript. They glitch on mobile. They frustrate users and confuse search engines. They’re impossible to maintain. And somehow, we’re calling this progress. The tragedy is, none of this is...
Article: Decentralized Architecture Needs More Than Autonomy

Key Takeaways Architectural success in decentralized systems depends more on how decisions are made than on system design alone. Replacing control with trust requires visible, structured practices - such as ADRs and advice forums - to build confidence and clarity. Empowering teams to make architectural decisions works when they seek advice from both experts and those impacted, not permission from higher-ups. Lightweight governance tools...
How DynamoDB, key-value schemaless cloud-native data store scales: Architecture and Design Lessons

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The Zed Debugger Is Here

Over 2,000 developers asked, and we delivered. Debugging in Zed is now a reality—and it's a big leap toward Zed 1.0. We set out to build a debugger with three primary focuses: Fast: Spend less time context switching and more time debugging Familiar: In line with Zed's design language and supports everything expected from a typical debugger flow Configurable: You're able to customize the UI,...
A New Era of Unified Lakehouse: Who Will Reign? A Deep Dive into Apache Doris vs. ClickHouse

With the explosive growth of data, the demand for real-time analytics across industries is more urgent than ever. High-performance data warehouses are the backbone of real-time analysis, enabling enterprises to quickly gain insights and drive decision-making. Among many open-source solutions, Apache Doris and ClickHouse stand out as two of the most noteworthy contenders. This article provides an in-depth comparison between...
RocksDB 101: Optimizing stateful streaming in Apache Spark with Amazon EMR and AWS Glue

Real-time streaming data processing is a strategic imperative that directly impacts business competitiveness. Organizations face mounting pressure to process massive data streams instantaneously—from detecting fraudulent transactions and delivering personalized customer experiences to optimizing complex supply chains and responding to market dynamics milliseconds ahead of competitors. Apache Spark Structured Streaming addresses these critical business challenges through its stateful processing capabilities, enabling...