Uber

This week: a practical guide to 10 ADR anti-patterns with concrete examples showing how to write architecture decisions that actually help your team. Uber shares two infrastructure deep dives — making OpenSearch zone-failure resilient with isolation groups and forced shard allocation awareness, and GitFarm, a Git-as-a-Service platform that delivers full monorepo checkouts in under 500ms. And Dropbox traces the decade-long evolution of Riviera from file preview service to a universal content processing platform now powering AI ingestion at 2.5 billion requests per day.

Weekly tech digest featuring a massive Agile & Scrum interview guide with DORA metrics and scaling patterns, Uber's Cart Assistant agentic grocery system built on multi-prompt state graphs, Slack's Shipyard immutable EC2 platform with layered AMIs and automatic instance cycling, and Stripe's graph-based auto-remediation system cutting MongoDB pager volume by 30%.

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.

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.

This week: a practical .NET guide to managing AI conversation history with four strategies from full replay to vector recall. Uber shares DeepETT, a graph-aware transformer serving 2 million real-time traffic forecasts per second across 100 million road segments, driving $100M in annual value. And Airbnb details its shift from PaaS to a unified knowledge-graph infrastructure that powers identity resolution at scale.

This week: featuring a beginner-friendly LLM explainer, Uber's Tarot platform solving Multiple Knapsack optimization for incentive allocation at scale, Airbnb's Skipper embedded workflow engine for durable execution without external dependencies, and Lyft's end-to-end mapping system for smarter pickups in gated communities.

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 week: Uber shows how AI agents can automate design system documentation via MCP and how real-time batching solves hot-key payment bottlenecks at scale. Airbnb shares a transformer-based model for recommending travel destinations to exploratory users. And Pinterest details how unified context-intent embeddings power their Analytics Agent — now the most widely adopted internal agent at the company.

This week: Cloudflare’s MCP code mode, Uber’s database federation, Wix’s shift from prompting to AI management, and LinkedIn’s LLM-based ranking at scale.

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

This week: .NET unit testing antipatterns, Uber’s open-source uForwarder Kafka proxy, Pinterest’s real-time ingestion platform, and Allegro’s Lynx JS battle test.

This week: distributed deadlocks, AI-assisted coding interviews, Uber’s Apache Hudi data lake at scale, and LinkedIn’s AI-powered search stack redesign.

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

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

This week: NoSQL interview questions and answers, YouTube Shorts generation via AI, Pinterest’s recommendation quality improvements, and Uber’s real-time OLAP with Apache Pinot.

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.

Weekly tech digest: CAP theorem basics, Uber’s probabilistic heatmaps, Dropbox’s context-aware AI, and Lyft’s modern ML platform architecture.

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.

This week, we dive into SQL performance tips, Uber’s approach to fault-tolerant analytics, and how TikTok cut AI costs in half with smart caching.

Weekly tech digest: pagination strategies for large datasets, Uber’s rebuilt Apache Pinot query architecture, and Meta’s ML-based notification ranking system for Instagram.