Sujeet Jaiswal
Frontend Principal Engineer
Crafting exceptional user experiences through innovative frontend architecture, scalable design systems, and cutting-edge web technologies. Leading teams to build products that users love.
Core Expertise
Writing
Technical articles and tutorials
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Asynchronous Task Processing in Node.js
Build resilient, scalable asynchronous task processing systems from basic in-memory queues to advanced distributed patterns using Node.js.Part 1: The Foundation of Asynchronous Execution1.1 The Event Loop and In-Process Concurrency1.2 In-Memory Task Queues: Controlling Local ConcurrencyPart 2: The Ideology of Distributed Async Task Queues2.1 Distributed Architecture Components2.2 Node.js Task Queue Libraries Comparison2.3 Implementing with BullMQPart 3: Engineering for Failure: Adding Resilience3.1 Retries with Exponential Backoff and Jitter3.2 Dead Letter Queue Pattern3.3 Idempotent ConsumersPart 4: Advanced Architectural Patterns4.1 Transactional Outbox Pattern4.2 Saga Pattern for Distributed Transactions4.3 Event Sourcing and CQRS with Kafka
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Exponential Backoff and Retry Strategies
Learn how to build resilient distributed systems using exponential backoff, jitter, and modern retry strategies to handle transient failures and prevent cascading outages.I. Introduction: Beyond Naive RetriesII. The Mechanics of Exponential BackoffIII. Preventing Correlated Failures with JitterIV. Production-Ready ImplementationV. The Broader Resilience EcosystemVI. Operationalizing BackoffVII. Learning from Real-World FailuresVIII. Conclusion
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JavaScript String Length and Unicode
Understand why '👨👩👧👦'.length returns 11 instead of 1, and learn how to properly handle Unicode characters, grapheme clusters, and international text in JavaScript applications.
Deep Dives
In-depth explorations and notes
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Statsig Under the Hood: A Deep Dive into Internal Architecture and Implementation
Statsig is a unified experimentation platform that combines feature flags, A/B testing, and product analytics into a single, cohesive system. This post explores the internal architecture, SDK integration patterns, and implementation strategies for both browser and server-side environments.
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k6 Performance Testing Framework
Master k6’s Go-based architecture, JavaScript scripting capabilities, and advanced workload modeling for modern DevOps and CI/CD performance testing workflows.
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React Architecture Internals
This comprehensive analysis examines React’s sophisticated architectural evolution from a simple Virtual DOM abstraction to a multi-faceted rendering system that spans client-side, server-side, and hybrid execution models. We explore the foundational Fiber reconciliation engine, the intricacies of hydration and streaming, and the revolutionary React Server Components protocol that fundamentally reshapes the client-server boundary in modern web applications.
Work
Design docs and case studies
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A Modern Approach to Loosely Coupled UI Components
This document provides a comprehensive guide for building meta-framework-agnostic, testable, and boundary-controlled UI components for modern web applications.IntroductionAssumptions & PrerequisitesGlossary of TermsDesign PrinciplesArchitecture OverviewLayer DefinitionsInternal SDKsFolder StructureImplementation PatternsBoundary Control & EnforcementTestabilityConfigurationMigration Guide
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CSP-Sentinel Technical Design Document
CSP-Sentinel is a centralized, high-throughput system designed to collect, process, and analyze Content Security Policy (CSP) violation reports from web browsers. As our web properties serve tens of thousands of requests per second, the system must handle significant burst traffic (baseline 50k RPS, scaling to 100k+ RPS) while maintaining near-zero impact on client browsers.The system will leverage a modern, forward-looking stack (Java 25, Spring Boot 4, Kafka, Snowflake) to ensure long-term support and performance optimization. It features an asynchronous, decoupled architecture to guarantee reliability and scalability.
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Building a Multi-Tenant Image Service Platform
This document presents the architectural design for a cloud-agnostic, multi-tenant image processing platform that provides on-the-fly transformations with enterprise-grade security, performance, and cost optimization. The platform supports hierarchical multi-tenancy (Organization → Tenant → Space), public and private image delivery, and deployment across AWS, GCP, Azure, or on-premise infrastructure. Key capabilities include deterministic transformation caching to ensure sub-second delivery, signed URL generation for secure private access, CDN integration for global edge caching, and a “transform-once-serve-forever” approach that minimizes processing costs while guaranteeing HTTP 200 responses even for first-time transformation requests.System OverviewComponent NamingArchitecture PrinciplesTechnology StackHigh-Level ArchitectureData ModelsURL DesignCore Request FlowsImage Processing PipelineSecurity & Access ControlDeployment ArchitectureCost OptimizationMonitoring & Operations
Uses
Tools and setup
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Chrome Power User Setup
My Chrome configuration for maximum productivity: address bar keywords for instant navigation and essential extensions for a seamless cross-browser workflow.