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AWS — 6,000 AWS accounts, three people, one platform: Lessons learned
AWS — AI-powered event response for Amazon EKS
AWS — Announcing the updated AWS Well-Architected Generative AI Lens
AWS — Announcing the updated AWS Well-Architected Machine Learning Lens
AWS — Architecting conversational observability for cloud applications
AWS — Architecting for AI excellence: AWS launches three Well-Architected Lenses at re:Invent 2025
AWS — Architecting for agentic AI development on AWS
AWS — Automate safety monitoring with computer vision and generative AI
AWS — BASF Digital Farming builds a STAC-based solution on Amazon EKS
AWS — Build a multi-tenant configuration system with tagged storage patterns
AWS — Build priority-based message processing with Amazon MQ and AWS App Runner
AWS — Building an AI gateway to Amazon Bedrock with Amazon API Gateway
AWS — Digital Transformation at Santander: How Platform Engineering is Revolutionizing Cloud Infrastructure
AWS — How Aigen transformed agricultural robotics for sustainable farming with Amazon SageMaker AI
AWS — How Artera enhances prostate cancer diagnostics using AWS
AWS — How BASF’s Agriculture Solutions drives traceability and climate action by tokenizing cotton value chains using Amazon Managed Blockchain
AWS — How Convera built fine-grained API authorization with Amazon Verified Permissions
AWS — How Generali Malaysia optimizes operations with Amazon EKS
AWS — How Salesforce migrated from Cluster Autoscaler to Karpenter across their fleet of 1,000 EKS clusters
AWS — Know before you go – AWS re:Invent 2025 guide to Well-Architected and Cloud Optimization sessions
AWS — Mastering millisecond latency and millions of events: The event-driven architecture behind the Amazon Key Suite
AWS — Secure Amazon Elastic VMware Service (Amazon EVS) with AWS Network Firewall
AWS — She architects: Bringing unique perspectives to innovative solutions at AWS
AWS — Sovereign failover – Design for digital sovereignty using the AWS European Sovereign Cloud
AWS — Streamlining access to powerful disaster recovery capabilities of AWS
AWS — The Hidden Price Tag: Uncovering Hidden Costs in Cloud Architectures with the AWS Well-Architected Framework
AWS — Unlock efficient model deployment: Simplified Inference Operator setup on Amazon SageMaker HyperPod
Airbnb — Academic Publications & Airbnb Tech: 2025 Year in Review
Airbnb — Building a high-volume metrics pipeline with OpenTelemetry and vmagent
Airbnb — From Static Rate Limiting to Adaptive Traffic Management in Airbnb’s Key-Value Store
Airbnb — From vendors to vanguard: Airbnb’s hard-won lessons in observability ownership
Airbnb — GraphQL Data Mocking at Scale with LLMs and @generateMock
Airbnb — It Wasn’t a Culture Problem: Upleveling Alert Development at Airbnb
Airbnb — My Journey to Airbnb — Anna Sulkina
Airbnb — My Journey to Airbnb — Jonathan Woodard
Airbnb — My Journey to Airbnb: Peter Coles
Airbnb — Pay As a Local
Airbnb — Recommending Travel Destinations to Help Users Explore
Airbnb — Safeguarding Dynamic Configuration Changes at Scale
Airbnb — What COVID did to our forecasting models (and what we built to handle the next shock)
Cloudflare — 500 Tbps of capacity: 16 years of scaling our global network
Cloudflare — A QUICker SASE client: re-building Proxy Mode
Cloudflare — A one-line Kubernetes fix that saved 600 hours a year
Cloudflare — AI Security for Apps is now generally available
Cloudflare — Active defense: introducing a stateful vulnerability scanner for APIs
Cloudflare — Always-on detections: eliminating the WAF “log versus block” trade-off
Cloudflare — Announcing Cloudflare Account Abuse Protection: prevent fraudulent attacks from bots and humans
Cloudflare — Building a security overview dashboard for actionable insights
Cloudflare — Cloudflare Client-Side Security: smarter detection, now open to everyone
Cloudflare — Cloudflare targets 2029 for full post-quantum security
Cloudflare — Complexity is a choice. SASE migrations shouldn’t take years.
Cloudflare — Ending the "silent drop": how Dynamic Path MTU Discovery makes the Cloudflare One Client more resilient
Cloudflare — Fixing request smuggling vulnerabilities in Pingora OSS deployments
Cloudflare — From bytecode to bytes: automated magic packet generation
Cloudflare — From legacy architecture to Cloudflare One
Cloudflare — From the endpoint to the prompt: a unified data security vision in Cloudflare One
Cloudflare — How Automatic Return Routing solves IP overlap
Cloudflare — How we built Organizations to help enterprises manage Cloudflare at scale
Cloudflare — How we use Abstract Syntax Trees (ASTs) to turn Workflows code into visual diagrams
Cloudflare — Inside Gen 13: how we built our most powerful server yet
Cloudflare — Introducing Custom Regions for precision data control
Cloudflare — Introducing EmDash — the spiritual successor to WordPress that solves plugin security
Cloudflare — Introducing Programmable Flow Protection: custom DDoS mitigation logic for Magic Transit customers
Cloudflare — Investigating multi-vector attacks in Log Explorer
Cloudflare — Launching Cloudflare’s Gen 13 servers: trading cache for cores for 2x edge compute performance
Cloudflare — Our ongoing commitment to privacy for the 1.1.1.1 public DNS resolver
Cloudflare — Powering the agents: Workers AI now runs large models, starting with Kimi K2.5
Cloudflare — Sandboxing AI agents, 100x faster
Cloudflare — Slashing agent token costs by 98% with RFC 9457-compliant error responses
Cloudflare — Standing up for the open Internet: why we appealed Italy’s "Piracy Shield" fine
Cloudflare — Translating risk insights into actionable protection: leveling up security posture with Cloudflare and Mastercard
Cloudflare — Welcome to Agents Week
Cloudflare — Why we're rethinking cache for the AI era
Dropbox — Building the future: highlights from Dropbox’s 2025 summer intern class
Dropbox — Engineering VP Josh Clemm on how we use knowledge graphs, MCP, and DSPy in Dash
Dropbox — Half-Quadratic Quantization of large machine learning models
Dropbox — How Dash uses context engineering for smarter AI
Dropbox — How low-bit inference enables efficient AI
Dropbox — How we optimized Dash's relevance judge with DSPy
Dropbox — Improving storage efficiency in Magic Pocket, our immutable blob store
Dropbox — Inside the feature store powering real-time AI in Dropbox Dash
Dropbox — Insights from our executive roundtable on AI and engineering productivity
Dropbox — Reducing our monorepo size to improve developer velocity
Dropbox — Using LLMs to amplify human labeling and improve Dash search relevance
Dropbox — With Mobius Labs' Aana models, we're bringing deeper multimodal understanding to Dropbox Dash
LinkedIn — AI Helping Build Better AI: How Agents Accelerate Model Experi...
LinkedIn — Announcing Our LinkedIn-Cornell 2024 Grant Recipients
LinkedIn — Career stories: Influencing engineering growth at LinkedIn
LinkedIn — Career stories: The math-music connection in data science
LinkedIn — Driving data enhancement & recruitment success with LinkedIn’s unified integrations
LinkedIn — Engineering the next generation of LinkedIn’s Feed
LinkedIn — Introducing Northguard and Xinfra: scalable log storage at LinkedIn
LinkedIn — Optimizing LinkedIn Sales Navigator’s search pipeline with Spark
LinkedIn — Reimagining LinkedIn’s search tech stack
LinkedIn — Scaling LLM-Based ranking systems with SGLang at LinkedIn
LinkedIn — Securing every Kubernetes workload at scale
LinkedIn — The LinkedIn Generative AI Application Tech Stack: Personaliza...
Meta — AI for American-Produced Cement and Concrete
Meta — Building Prometheus: How Backend Aggregation Enables Gigawatt-Scale AI Clusters
Meta — Escaping the Fork: How Meta Modernized WebRTC Across 50+ Use Cases
Meta — FFmpeg at Meta: Media Processing at Scale
Meta — Friend Bubbles: Enhancing Social Discovery on Facebook Reels
Meta — How Advanced Browsing Protection Works in Messenger
Meta — How Meta Used AI to Map Tribal Knowledge in Large-Scale Data Pipelines
Meta — Investing in Infrastructure: Meta’s Renewed Commitment to jemalloc
Meta — KernelEvolve: How Meta’s Ranking Engineer Agent Optimizes AI Infrastructure
Meta — Meta Adaptive Ranking Model: Bending the Inference Scaling Curve to Serve LLM-Scale Models for Ads
Meta — Patch Me If You Can: AI Codemods for Secure-by-Default Android Apps
Meta — RCCLX: Innovating GPU Communications on AMD Platforms
Meta — Ranking Engineer Agent (REA): The Autonomous AI Agent Accelerating Meta’s Ads Ranking Innovation
Meta — The Death of Traditional Testing: Agentic Development Broke a 50-Year-Old Field, JiTTesting Can Revive It
Meta — Trust But Canary: Configuration Safety at Scale
Netflix — AV1 — Now Powering 30% of Netflix Streaming
Netflix — Automating RDS Postgres to Aurora Postgres Migration
Netflix — How Temporal Powers Reliable Cloud Operations at Netflix
Netflix — MediaFM: The Multimodal AI Foundation for Media Understanding at Netflix
Netflix — Mount Mayhem at Netflix: Scaling Containers on Modern CPUs
Netflix — Netflix Live Origin
Netflix — Optimizing Recommendation Systems with JDK’s Vector API
Netflix — Scaling Global Storytelling: Modernizing Localization Analytics at Netflix
Netflix — Scaling LLM Post-Training at Netflix
Netflix — The AI Evolution of Graph Search at Netflix
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