WASM Runtime Architecture: Performance and Security Trade-offs
July 14, 2025
Architectural considerations for building high-performance WebAssembly runtimes with robust security isolation
Distributed AI System Design: Architectural Patterns for Scale
June 17, 2025
Designing distributed architectures for AI systems that handle massive scale, geographic distribution, and complex coordination requirements
LLMOps Platform Architecture: Building Production AI Infrastructure
March 18, 2025
Architectural patterns for building robust LLMOps platforms that handle model serving, prompt management, observability, and cost optimization at scale
AI at Scale: Architectural Lessons from 2024
December 28, 2024
Reflecting on a year of building and scaling AI infrastructure—key architectural insights, patterns that worked, mistakes made, and what's next for production AI systems.
Production AI System Design: Principles for Building Reliable ML at Scale
November 18, 2024
Core architectural principles and design patterns for building AI systems that are reliable, maintainable, and scalable in production environments.
Distributed AI Training Infrastructure: Architectural Patterns for Scale
August 11, 2024
Exploring architectural approaches to building distributed training infrastructure that scales from single machines to hundreds of GPUs across multiple data centers.
Achieving 5x Latency Reduction: Architectural Decisions That Matter
July 14, 2024
Deep dive into the architectural decisions and trade-offs that enabled reducing system latency by 5x in a production security platform.
2022 Reflections: Architectural Lessons from Scaling to 100M+ Events Daily
December 28, 2022
A year-end reflection on architectural lessons learned from operating large-scale distributed systems, managing 60+ microservices, and optimizing systems processing hundreds of millions of events.
System Design for 100M+ Events Per Day: Architecture Patterns and Lessons
November 18, 2022
Architectural patterns and design decisions for building systems that process hundreds of millions of events daily, covering scalability, reliability, and performance optimization.
Cloud-Native Data Platform Architecture: Design Principles and Patterns
October 27, 2022
Architectural patterns for building scalable, resilient data platforms in the cloud, covering storage strategies, compute orchestration, and multi-region data management.
API Design Patterns and Evolution Strategies for Long-Lived Systems
September 23, 2022
Architectural approaches to designing APIs that evolve gracefully over years, balancing stability for existing clients with innovation for new capabilities.
Data Mesh Architecture: Decentralizing Data Ownership at Scale
June 22, 2022
Exploring data mesh principles and architectural patterns for scaling data platforms across large organizations with distributed ownership and federated governance.
ML Feature Pipeline Architecture: Building Reliable Real-Time Feature Platforms
May 18, 2022
Architectural patterns and design decisions for building scalable ML feature pipelines that serve predictions in real-time while maintaining consistency and reliability.
The Path from 400ms to 50ms: A Performance Optimization Journey
April 14, 2022
A detailed walkthrough of systematic performance optimization that achieved 8x latency improvement through measurement, analysis, and targeted fixes.
Managing 60+ Microservices: Lessons from Large-Scale Systems
March 17, 2022
Practical strategies for operating dozens of microservices, from service mesh to observability, deployment automation, and organizational patterns that work.
Real-Time Data Processing: From Batch to Streaming
February 15, 2022
Transitioning from batch data processing to real-time streaming architectures, with practical migration strategies and lessons learned.
Event Streaming Best Practices: Lessons from Processing Billions of Events
January 20, 2022
Advanced patterns and best practices for building reliable, high-throughput event streaming platforms based on real-world experience at massive scale.
2021 in Review: Lessons from Building at Scale
December 30, 2021
Reflecting on a year of building distributed systems, managing large engineering teams, and the key technical and organizational lessons learned.
Platform Engineering: Building Internal Developer Platforms That Scale
November 18, 2021
Strategies for building internal developer platforms that improve productivity, reduce cognitive load, and enable teams to move faster while maintaining reliability.
GraphQL Federation: Building Distributed Graph APIs at Scale
October 21, 2021
Practical guide to implementing GraphQL Federation for microservices, enabling teams to build a unified API while maintaining service autonomy.
Multi-Region Deployments: Strategies for Global Scale
September 16, 2021
Architectural patterns and implementation strategies for deploying applications across multiple regions while maintaining consistency, performance, and availability.
Edge Computing Patterns: Bringing Compute Closer to Users
July 14, 2021
Exploring edge computing architectures, CDN integration, and strategies for distributing computation to reduce latency and improve user experience.
Data Pipeline Architectures: Lambda vs Kappa vs Delta
June 17, 2021
Comparing modern data pipeline architectures for real-time and batch processing, with practical implementation patterns and trade-offs.
AI/ML in Production: Building Platforms That Actually Work
May 22, 2021
Real-world strategies for deploying and scaling machine learning systems in production, from model serving to feature pipelines and monitoring.
Latency Optimization: How We Reduced API Response Time from 400ms to 50ms
April 18, 2021
A detailed walkthrough of performance optimization techniques that achieved an 8x latency reduction in a high-scale distributed system.
Breaking the Monolith: A Practical Guide to Microservices Migration
March 20, 2021
Step-by-step approach to decomposing monolithic applications into microservices, with real-world patterns, pitfalls to avoid, and migration strategies that work.
Kafka Stream Processing: From Theory to Production at Scale
February 12, 2021
Practical guide to building production-grade Kafka stream processing applications, covering architecture patterns, performance optimization, and operational best practices.
Event-Driven Architectures: Building Systems That Scale to Billions of Events
January 15, 2021
Deep dive into designing event-driven architectures that can handle massive scale, exploring patterns, anti-patterns, and real-world implementation strategies.
Implementing Distributed Consensus with Raft for FC-Redirect
November 18, 2014
Building a production Raft implementation to provide distributed consensus and high availability for FC-Redirect's control plane
2013 Year in Review: Scaling, Performance, and Growth
December 20, 2013
Reflecting on a year of scaling FC-Redirect from 1K to 12K flows, achieving 20% performance improvements, and lessons learned along the way
High Availability at Scale: Lessons from 99.999% Uptime
August 18, 2013
Deep dive into the architecture patterns and operational practices that enable five-nines availability in FC-Redirect at massive scale
Scaling FC-Redirect: From 1K to 12K Flows
January 15, 2013
Deep dive into the architectural challenges and solutions for scaling FC-Redirect from 1,000 to 12,000 concurrent flows while maintaining performance