Observability

Weekend Reading: A weekly roundup of interesting Software Architecture and Programming articles from tech companies. Find fresh ideas and insights every weekend.

Weekly tech digest featuring a practical guide to 17 prioritization frameworks with formulas and examples, Netflix's brutally honest Service Topology production postmortem, Uber's SPIRE-backed AI agent identity framework with full actor chain propagation, and Uber's artifact storage modernization cutting 5PB/month egress by 99% with a custom validation proxy.

This week: a comprehensive 800+ question .NET interview guide covering everything from C# fundamentals to AI and distributed systems. Airbnb goes deeper into its Sitar platform with sitar-agent — the Kubernetes sidecar that reliably delivers dynamic config at the pod level. Pinterest shares the full journey of building production Ray infrastructure on Kubernetes, from KubeRay workarounds to cost governance. And Lyft explains how their metric semantic layer creates a single source of truth for key data definitions across the organization.

Weekly tech digest featuring a step-by-step LLM training guide covering SFT, RLHF, DPO, and distillation, Netflix's real-time Service Topology map built with eBPF and distributed tracing, Airbnb's geographic prior propagation for resilient corridor forecasting, and Pinterest's unified user sequence infrastructure for cost-efficient ML pipelines.

Prepare for your next .NET interview with 800+ interview questions and answers covering C#, ASP.NET Core, SQL, NoSQL, microservices, distributed systems, testing, AI, Agile, desktop and mobile development. For developers, senior engineers, architects and tech leads.

In this article, we review AI, LLM, prompting, .NET AI integration, Semantic Kernel, Microsoft Agent Framework, MCP, RAG, resilience, testing, observability, security, and AI coding tools for .NET engineers.

This week: a practical guide to Developer Experience and why slow builds, flaky tests, and tribal knowledge silently kill productivity. Slack reveals how they manage context across long-running multi-agent security investigations using structured journals and critical reviews. Airbnb goes deep on building fault-tolerant metrics storage at 50M samples/sec with shuffle sharding and automated tenant management. And Pinterest introduces MIQPS — a data-driven algorithm that learns which URL parameters matter for content identity, powering smarter deduplication across millions of domains.

This week: Pinterest traces the evolution of their feed re-ranking from DPP to Sliding Spectrum Decomposition, showing why diversity drives long-term retention. Airbnb shares a battle-tested migration from StatsD to OpenTelemetry with a dual-write approach that cut metrics CPU overhead by 10x. Uber optimized Petastorm to resolve a GPU utilization bottleneck, slashing training time from 22 hours to 3 hours. And Netflix details the architecture behind their multimodal video search, unifying character, scene, and dialogue models into a real-time creative discovery tool.

This part of C# / .NET interview questions and answers covering modern desktop development: WinUI 3, .NET MAUI, Avalonia UI, MVVM architecture with CommunityToolkit, performance optimization, data storage with EF Core and SQLite, secure credentials, background sync, MSIX packaging, and auto-update strategies. 

This week: a comprehensive .NET testing guide covering everything from unit test fundamentals to gRPC contract testing. Netflix introduces MediaFM, their first tri-modal foundation model for deep content understanding. LinkedIn reveals how LLM embeddings and Generative Recommender models are powering the next generation of feed ranking for 1.3 billion users. And Pinterest walks through building a full MCP ecosystem — from registry and security to 66K monthly invocations, saving thousands of engineering hours.

60+ C# / .NET testing interview questions with code examples. Covers unit testing, integration testing, gRPC, contracts, distributed systems, Playwright, and performance.

Weekly tech digest: DDD bounded contexts, Netflix Live Origin streaming infrastructure, Uber’s shift to cloud-native observability, and Lyft’s evolving feature store architecture

In this article, we explore microservices and distributed systems interview questions and answers, and what every .NET engineer should know, from service boundaries and BFF to sagas, events, service discovery, and communication patterns.

In this article, we explain what distributed deadlocks are, how they differ from blocking and slowness, the main types of distributed deadlocks, and practical strategies to prevent them in real systems.

Weekend Reading: A weekly roundup of interesting Software Architecture and Programming articles from tech companies. Find fresh ideas and insights every weekend.

This week, we look at consistency models in distributed systems, Uber’s adaptive benchmarking framework, LinkedIn’s evolution of its Venice ingestion pipeline, and Meta’s new open-source platform for adaptive experimentation.

This week: MongoDB best practices, Netflix’s ML platform, Uber’s I/O observability at petabyte scale, and Google’s Coral NPU for edge AI.

 Walk through consistency models in distributed systems: Strong, bounded staleness, session, causal, and eventual consistency, explain how they work with examples, and help you understand when each model makes sense.

Weekend Reading: A weekly roundup of interesting Software Architecture and Programming articles from tech companies. Find fresh ideas and insights every weekend.

Weekly tech digest: simple ACID guide, Uber’s HiveSync data lake replication, Atlassian’s new CI/CD platform, and Pinterest’s Moka data processing system.