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I write about web development and modern JavaScript frameworks.Latest Articles
A few handcrafted articles about my thoughts and experiments.
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Distributed SystemsEvent StreamingApache Kafka ArchitectureScalabilityData PipelinesEvent-Driven Systems
How Kafka Works: Inside the Architecture of a Distributed Streaming Platform
A deep technical dive by JMS Technologies into Kafka’s internal architecture—log-based storage, partitions, replication, producers, consumers, and real-time stream processing at massive scale.- Published on
Distributed SystemsServerless ArchitectureScalabilityHigh-Throughput SystemsMeta XFaaS
How Meta Scales XFaaS to Millions of Serverless Calls per Second
A deep technical dive by JMS Technologies into Meta’s internal serverless platform—covering XFaaS architecture, global scheduling, high-density worker execution, durable queues, back-pressure mechanisms, and how Meta achieves trillions of invocations per day.- Published on
AI EngineeringMachine LearningBackend DevelopmentProgramming LanguagesSoftware ArchitectureRustPython
Python vs Rust: Which One Should You Learn to Grow in AI and Software Development?
A deep dive by JMS Technologies into Python vs Rust—how each language shapes careers in AI, high-performance backend engineering, and modern distributed systems in 2025.- Published on
Mobile EngineeringReact NativeFlutterCross-Platform DevelopmentSystem ArchitectureSoftware Engineering 2025
React Native vs Flutter in 2025: The Honest Comparison Companies Need
React Native or Flutter in 2025? An honest, engineer-to-engineer breakdown of performance, ecosystem maturity, talent pool, and which one wins for your next mobile project.- Published on
System DesignDistributed SystemsScalabilityReal-Time ArchitectureGeospatial SystemsUber Engineering
How Uber Handles 1M+ Requests per Second to Find Nearby Drivers
A deep dive by JMS Technologies into Uber’s real-time architecture—how geospatial indexing (H3), streaming pipelines, in-memory systems, and global optimization enable sub-200 ms matching at planetary scale.- Published on
System DesignDistributed SystemsScalabilityMachine LearningX / Twitter Architecture
How X/Twitter’s Timeline Architecture Works at Planetary Scale
A deep dive by JMS Technologies into X's (formerly Twitter) system design—analyzing fan-out on write, hybrid architecture, the 'For You' ranking algorithm, and how to scale distributed systems for millions of concurrent users.- Published on
System DesignDistributed SystemsScalabilityDatabasesYouTube Architecture
How YouTube Scaled to 2.49 Billion Users Using MySQL (and Later Vitess)
A deep dive by JMS Technologies into YouTube’s real system architecture—how MySQL, sharding, aggressive caching, replication, and Vitess enabled the platform to scale to billions of users.- Published on
Artificial IntelligenceLarge Language ModelsMachine LearningSoftware EngineeringTransformers
How LLMs Like ChatGPT Work: A Deep Technical Breakdown for Modern Engineering Teams
How do LLMs like ChatGPT really work? A deep technical breakdown of transformers, attention mechanisms, tokenization, RLHF, and inference — written for software engineers.- Published on
Mobile App DevelopmentTech Stack GuideReact NativeFlutter
How to Choose the Right Tech Stack for Your Mobile App (2025 Founder’s Guide)
A 2025 founder-focused guide from JMS Technologies Inc. explaining how to choose the right mobile app tech stack—native, cross-platform, or hybrid—with expert insights, performance considerations, scalability factors, and engineering recommendations.- Published on