Distributed AI Training: Scaling Model Development
January 21, 2026
Practical patterns for distributed training of large models, from data parallelism to pipeline parallelism and efficient collective communication.
January 21, 2026
Practical patterns for distributed training of large models, from data parallelism to pipeline parallelism and efficient collective communication.
January 17, 2026
Building AI systems capable of autonomous operation over extended periods, handling multi-day projects with adaptive planning and robust error recovery.
January 13, 2026
Exploring the mature Rust ecosystem in 2026, from web services to distributed systems, with practical patterns for production deployments.
January 5, 2026
Exploring emerging platforms and standards for orchestrating multi-agent systems, from communication protocols to deployment patterns.
November 18, 2025
Architectural approaches to building comprehensive observability for AI systems, from model inference to agent reasoning chains and multi-step decision processes
October 15, 2025
Architectural principles and design patterns for building robust, scalable autonomous AI systems that can reason, plan, and act with minimal human intervention
September 16, 2025
Architectural patterns for building workflows where AI agents autonomously plan, execute, and adapt to achieve goals with minimal human intervention
June 17, 2025
Designing distributed architectures for AI systems that handle massive scale, geographic distribution, and complex coordination requirements
February 12, 2025
Architectural approaches for coordinating multiple AI agents through hierarchical delegation, peer collaboration, and distributed task execution
January 15, 2025
Exploring foundational architectural patterns for building robust, scalable AI agent systems in production environments
September 15, 2024
Exploring architectural patterns for implementing zero-trust security models at the network edge, balancing security rigor with performance requirements.
August 11, 2024
Exploring architectural approaches to building distributed training infrastructure that scales from single machines to hundreds of GPUs across multiple data centers.
June 23, 2024
Architectural patterns for deploying WebAssembly at the edge, balancing security isolation, cold start performance, and operational complexity.
May 19, 2024
Building machine learning systems for security analytics that can detect threats in real-time across massive data streams
April 21, 2024
Building reliable AI agents that can plan, use tools, and accomplish complex tasks autonomously in production environments
March 15, 2024
Comprehensive guide to RAG system architecture including retrieval strategies, chunking techniques, and production optimization patterns
January 14, 2024
Practical guide to deploying and operating Large Language Models in production environments, including infrastructure, optimization, and reliability patterns
December 20, 2023
Reflecting on the major trends, technologies, and lessons learned in infrastructure and platform engineering throughout 2023
November 12, 2023
A framework for evolving platform engineering practices from ad-hoc scripts to mature internal developer platforms
October 8, 2023
Architectural patterns for designing robust control planes that manage distributed infrastructure at scale
September 11, 2023
Deep dive into optimizing data path performance for high-throughput, low-latency systems with practical techniques and measurements
August 16, 2023
Exploring security challenges unique to edge computing and practical solutions for protecting distributed edge infrastructure
July 19, 2023
Designing and operating highly available systems across multiple cloud providers with practical patterns and real-world trade-offs
June 14, 2023
Deploying eBPF programs for production observability, security monitoring, and network optimization at scale
May 20, 2023
A practical exploration of adopting Rust for high-performance systems programming, including real-world migration patterns and lessons learned
April 22, 2023
A comprehensive guide to vector databases, from fundamentals to production deployment for AI-powered applications
March 18, 2023
Deep dive into designing and implementing bot detection systems using behavioral analysis, fingerprinting, and machine learning
February 12, 2023
Practical insights on deploying ML models for real-time threat detection, including feature engineering, model selection, and performance optimization
January 15, 2023
Exploring the architectural patterns and design decisions that enable effective AI-driven security platforms at scale
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.
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.
October 27, 2022
Architectural patterns for building scalable, resilient data platforms in the cloud, covering storage strategies, compute orchestration, and multi-region data management.
August 19, 2022
How team structure shapes system architecture and vice versa, with practical patterns for organizing engineering teams around microservices and distributed systems.
July 14, 2022
Architectural approaches to implementing distributed tracing at scale, covering design decisions, trade-offs, and patterns for observability in microservices architectures.
June 22, 2022
Exploring data mesh principles and architectural patterns for scaling data platforms across large organizations with distributed ownership and federated governance.
April 14, 2022
A detailed walkthrough of systematic performance optimization that achieved 8x latency improvement through measurement, analysis, and targeted fixes.
March 17, 2022
Practical strategies for operating dozens of microservices, from service mesh to observability, deployment automation, and organizational patterns that work.
February 15, 2022
Transitioning from batch data processing to real-time streaming architectures, with practical migration strategies and lessons learned.
January 20, 2022
Advanced patterns and best practices for building reliable, high-throughput event streaming platforms based on real-world experience at massive scale.
December 30, 2021
Reflecting on a year of building distributed systems, managing large engineering teams, and the key technical and organizational lessons learned.
November 18, 2021
Strategies for building internal developer platforms that improve productivity, reduce cognitive load, and enable teams to move faster while maintaining reliability.
October 21, 2021
Practical guide to implementing GraphQL Federation for microservices, enabling teams to build a unified API while maintaining service autonomy.
September 16, 2021
Architectural patterns and implementation strategies for deploying applications across multiple regions while maintaining consistency, performance, and availability.
August 19, 2021
Exploring eBPF technology for deep system observability, performance monitoring, and network analysis without kernel modifications or application changes.
July 14, 2021
Exploring edge computing architectures, CDN integration, and strategies for distributing computation to reduce latency and improve user experience.
June 17, 2021
Comparing modern data pipeline architectures for real-time and batch processing, with practical implementation patterns and trade-offs.
April 18, 2021
A detailed walkthrough of performance optimization techniques that achieved an 8x latency reduction in a high-scale distributed system.
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.
February 12, 2021
Practical guide to building production-grade Kafka stream processing applications, covering architecture patterns, performance optimization, and operational best practices.
January 15, 2021
Deep dive into designing event-driven architectures that can handle massive scale, exploring patterns, anti-patterns, and real-world implementation strategies.
December 28, 2020
Reflecting on architectural trends, lessons learned, and emerging patterns from a transformative year in cloud-native infrastructure and security
September 21, 2020
Architectural approaches to cloud migration including modernization strategies, data migration patterns, hybrid architecture, and risk mitigation
August 17, 2020
Architectural approaches to implementing distributed tracing across thousands of services including sampling strategies, storage patterns, and query optimization
June 22, 2020
Architectural trade-offs between communication patterns in distributed systems including request-response, event-driven, and message-based approaches
April 20, 2020
Architectural approaches to embedding observability into system design from inception, enabling production debugging and operational insights
March 16, 2020
Architectural patterns for API gateways including routing strategies, authentication flows, rate limiting, and service aggregation trade-offs
February 18, 2020
Exploring topology strategies, federation approaches, and cross-cluster communication patterns for distributed Kubernetes deployments
January 15, 2020
Building effective remote engineering teams with cloud-native practices, asynchronous collaboration, and robust communication patterns
December 27, 2019
Lessons learned running cloud-native infrastructure in production throughout 2019
November 19, 2019
Implementing safe deployment strategies with gradual rollouts
October 21, 2019
Building resilient event-driven systems with message queues and streams
September 16, 2019
Strategies for reducing cloud spending while maintaining performance
August 19, 2019
Systematic approaches to debugging complex distributed applications
July 23, 2019
Implementing SRE principles for reliable cloud-native services
June 18, 2019
Moving from perimeter-based security to zero-trust models in cloud-native environments
May 20, 2019
Production-tested patterns for managing infrastructure as code with Terraform across multiple environments and teams
April 17, 2019
Designing scalable and maintainable GraphQL APIs for microservices, covering schema design, resolvers, and performance optimization
March 19, 2019
Leveraging service mesh capabilities for comprehensive observability across distributed microservices architectures
February 14, 2019
Real-world patterns and practices for building production serverless applications that handle millions of requests
January 16, 2019
Comprehensive guide to hardening Kubernetes clusters beyond default configurations, covering RBAC, network policies, and admission control
December 28, 2018
Reflecting on the major milestones, trends, and lessons learned in cloud-native technologies throughout 2018
October 19, 2018
Understanding Envoy proxy architecture, configuration, and its role as the data plane for service mesh implementations
September 17, 2018
How monitoring practices have evolved in cloud-native environments, embracing metrics, logs, traces, and the observability mindset
August 20, 2018
Exploring multi-tenancy strategies for SaaS applications, from database isolation to Kubernetes namespace designs
July 25, 2018
An introduction to chaos engineering principles and practices for testing and improving system resilience in production environments
May 22, 2018
Implementing GitOps practices for declarative infrastructure and application deployment in Kubernetes environments
April 18, 2018
A comprehensive guide to adopting gRPC for microservices communication, including protocol buffers, streaming, and production considerations
February 12, 2018
Exploring the unique security challenges and best practices for serverless architectures and FaaS platforms
January 15, 2018
A deep dive into building Kubernetes operators and custom controllers to automate complex application management at scale
December 28, 2017
Reflecting on a transformative year in cloud-native infrastructure, security practices, and distributed systems
November 21, 2017
Practical lessons learned from running containerized applications in production with Kubernetes and other orchestration platforms
October 19, 2017
Essential resilience patterns for microservices including circuit breakers, retries, timeouts, and bulkheads to handle failure gracefully
September 20, 2017
How to build a comprehensive observability strategy that unifies metrics, logs, and distributed traces for effective system understanding
August 17, 2017
Practical patterns and strategies for migrating legacy systems to the cloud, minimizing risk while maximizing business value
July 25, 2017
How to build infrastructure that meets compliance requirements through automation, continuous monitoring, and infrastructure as code
June 22, 2017
A deep dive into encryption key management, rotation strategies, and practical patterns for protecting data at scale
May 18, 2017
Practical strategies for implementing security in large-scale microservices deployments, from authentication to data protection
April 20, 2017
A practical guide to implementing distributed tracing using OpenTracing to debug and understand complex microservices interactions
March 15, 2017
Understanding service mesh architecture and how it solves critical challenges in microservices communication, security, and observability
February 20, 2017
Moving beyond basic Kubernetes deployments to build production-ready container orchestration with advanced patterns and best practices
November 17, 2016
Building encryption systems that scale from thousands to millions of operations per second, using envelope encryption, key hierarchies, and distributed key management.
September 22, 2016
Building comprehensive observability into microservices architectures with distributed tracing, metrics, and structured logging to understand complex system behavior.
April 14, 2016
Why we chose Go for performance-critical key management services and lessons learned from rewriting Java services in Go
December 28, 2015
Reflecting on the major trends in cloud security, distributed systems, and infrastructure in 2015, and what they mean for the year ahead.
November 20, 2015
Essential patterns for building reliable distributed systems: circuit breakers, retry strategies, eventual consistency, and handling partial failures.
October 18, 2015
Why Go has become my language of choice for building cloud-native security services, with practical examples of concurrency patterns and performance characteristics.
September 17, 2015
Decomposing monolithic key management systems into microservices: design patterns, challenges, and lessons learned from production deployments
August 20, 2015
Exploring Kubernetes for orchestrating containerized key management microservices and evaluating if it's ready for production security workloads
July 30, 2015
Implementing centralized logging and monitoring for distributed systems using the ELK stack, with practical patterns for security services and microservices.
June 25, 2015
Exploring the unique security challenges that emerge when moving from monolithic applications to microservices, and practical patterns to address them.
May 14, 2015
Building distributed systems for key storage that balance security, performance, and fault tolerance across multiple data centers
February 20, 2015
Deep dive into hardware security module integration patterns for enterprise applications, focusing on performance, reliability, and security
February 20, 2015
Exploring the architectural patterns, consistency challenges, and security considerations when building distributed key management systems for global scale.
December 22, 2014
Reflecting on a year of platform expansion, cloud integration, and architectural maturation of FC-Redirect
November 18, 2014
Building a production Raft implementation to provide distributed consensus and high availability for FC-Redirect's control plane
August 14, 2014
Practical code optimization techniques that delivered real performance improvements in production systems
July 18, 2014
Leveraging Spark for analyzing massive volumes of flow data and gaining insights into storage network behavior
April 22, 2014
Exploring how emerging microservices architecture patterns can improve modularity and scalability in storage networking systems
March 18, 2014
How I built comprehensive monitoring and observability into FC-Redirect to enable fast debugging and proactive issue detection
February 12, 2014
Practical guide to implementing and using lock-free data structures in FC-Redirect, including ring buffers, queues, and hash tables
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
November 14, 2013
Real-world customer issues I've debugged in FC-Redirect deployments and the lessons learned from each
October 8, 2013
A systematic approach to performance optimization based on lessons from scaling FC-Redirect, including tools, techniques, and mental models
August 18, 2013
Deep dive into the architecture patterns and operational practices that enable five-nines availability in FC-Redirect at massive scale
June 20, 2013
How implementing asynchronous processing patterns improved FC-Redirect throughput by 40% while maintaining correctness guarantees
April 22, 2013
A war story about debugging an intermittent flow corruption issue that only appeared in production under specific load patterns
March 18, 2013
How choosing the right data structures improved FC-Redirect performance by 10x and reduced memory footprint
February 20, 2013
How implementing intelligent message batching reduced network overhead by 80% and improved FC-Redirect performance
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
June 19, 2012
Understanding NoSQL database storage architectures and how they differ from traditional relational databases
May 22, 2012
Understanding the unique storage requirements of Hadoop and how they differ from traditional enterprise storage
August 23, 2011
Exploring the principles behind distributed storage systems like GFS and their influence on modern storage architecture
July 19, 2011
Understanding the emerging cloud storage landscape and what it means for enterprise storage architecture