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Awesome Engineering Articles
A curated collection of 300+ engineering blog articles from top tech companies. Learn how the best engineering teams solve real-world problems at scale.
Table of Contents
Airbnb · Amazon Science · Atlassian · Booking.com · Canva · Coinbase · Discord · DoorDash · Dropbox · eBay · Facebook/Meta · Figma · Flipkart · GitHub · Google Research · Instagram · Instacart · LinkedIn · Lyft · Netflix · Notion · PayPal · Pinterest · Quora · Razorpay · Reddit · Salesforce · Shopify · Slack · Snap · Spotify · Stripe · Swiggy · Tinder · Twitch · Twitter/X · Uber · Walmart · Zomato
Airbnb
Airbnb Engineering Blog
| # | Article | Topics | Year |
|---|---|---|---|
| 1 | Embedding-Based Retrieval for Airbnb Search | Search, AI/ML | 2025 |
| 2 | How Airbnb improved page performance using HTTP Streaming | Performance, Frontend | 2023 |
| 3 | Airbnb's Data Framework for faster and more reliable read-heavy workloads | Data Engineering, Performance | 2023 |
| 4 | Avoiding Double Payments in a Distributed Payments System | Payments, Architecture | 2019 |
Amazon Science
Amazon Science Blog
| # | Article | Topics | Year |
|---|---|---|---|
| 1 | Training code generation models to debug their own outputs | AI/ML | 2025 |
| 2 | The technology behind Amazon's GenAI-powered shopping assistant, Rufus | AI/ML | 2024 |
| 3 | Ensuring that customers don't miss out on trending products | Search, AI/ML | 2023 |
| 4 | From structured search to learning-to-rank-and-retrieve | Search, AI/ML | 2023 |
| 5 | Invalidating robotic ad clicks in real time | Security, Data Engineering | 2023 |
| 6 | Using large language models (LLMs) to synthesize training data | AI/ML | 2023 |
| 7 | Lessons learned from 10 years of DynamoDB | Databases | 2022 |
| 8 | Using graph neural networks to recommend related products | AI/ML, Search | 2022 |
Atlassian
Atlassian Engineering Blog
| # | Article | Topics | Year |
|---|---|---|---|
| 1 | How Atlassian Scaled and Enhanced Throughput in the Jira Export Service | Performance, Architecture | 2025 |
| 2 | How one of Atlassian's critical services consistently gets above 99.9999% of availability | Infrastructure | 2022 |
| 3 | How Atlassian made Git push over HTTPS faster for Bitbucket Cloud | Performance | 2022 |
| 4 | How Atlassian Revamped Confluence Cloud Search | Search | 2021 |
| 5 | Caching JQL search in Jira Cloud | Caching, Databases | 2021 |
| 6 | Scaling, rearchitecting, and decomposing Confluence Cloud | Architecture | 2020 |
| 7 | Scaling Bitbucket's Database | Databases | 2020 |
| 8 | Atlassian's journey scaling low latency, multi-region services on AWS | Infrastructure, Performance | 2019 |
Booking.com
Booking.com Tech Blog
| # | Article | Topics | Year |
|---|---|---|---|
| 1 | Anomaly Detection in Time Series Using Statistical Analysis | Observability, Data Engineering | 2025 |
| 2 | How Booking Cut 20% of the Cloud Cost with a Single Code Change | Cost Optimization | 2025 |
| 3 | The Engineering Behind Booking.com's High-Performance Ranking Platform | Search, Performance | 2024 |
| 4 | How Booking.com Leverage graph technology for real-time Fraud Detection and Prevention | Security | 2024 |
| 5 | How Booking.com Predicts cancellations with survival modeling | AI/ML | 2024 |
Canva
Canva Engineering Blog
| # | Article | Topics | Year |
|---|---|---|---|
| 1 | Canva's continuous data platform | Data Engineering | 2025 |
| 2 | How Canva's drawing tool works | Frontend | 2024 |
| 3 | How Canva collects 25 billion events per day | Data Engineering | 2024 |
| 4 | Canva's scalable and reliable content usage counting service | Architecture, Performance | 2024 |
| 5 | How Canva saves millions annually in Amazon S3 costs | Cost Optimization | 2023 |
| 6 | How Canva scaled media uploads from Zero to 50 Million per day | Performance, Infrastructure | 2022 |
| 7 | Canva's fast and scalable reverse image search | Search, Databases | 2022 |
| 8 | How Canva enables real-time collaboration with RSocket | Messaging, Architecture | 2021 |
Coinbase
Coinbase Engineering Blog
| # | Article | Topics | Year |
|---|---|---|---|
| 1 | How Coinbase Optimizes Network Requests | Performance | 2024 |
| 2 | Accelerating Deep Learning Adoption at Coinbase | AI/ML | 2024 |
| 3 | Lessons from launching Enterprise-grade GenAI solutions at Coinbase | AI/ML | 2024 |
| 4 | How Coinbase Uses ML to Predict Traffic and Scale Databases | AI/ML, Databases | 2024 |
| 5 | Detecting Fraudulent Transactions at Coinbase | Security | 2023 |
| 6 | Building a notification platform at Coinbase | Messaging, Architecture | 2022 |
Discord
Discord Engineering Blog
| # | Article | Topics | Year |
|---|---|---|---|
| 1 | How Discord Reduced Websocket Traffic by 40% | Performance, Messaging | 2024 |
| 2 | How Discord Stores Trillions of Messages | Databases | 2023 |
| 3 | Pushing Discord's Limits with a Million+ Online Users in a Single Server | Performance, Infrastructure | 2023 |
| 4 | How Discord uses ML to Build a Delightful Notification Experience | AI/ML, Messaging | 2022 |
| 5 | How Discord Creates Insights from Trillions of Data Points | Data Engineering | 2021 |
DoorDash
DoorDash Engineering Blog
| # | Article | Topics | Year |
|---|---|---|---|
| 1 | How DoorDash Uses LLMs to transcribe restaurant menu photos | AI/ML | 2025 |
| 2 | How DoorDash leverages LLMs for better search retrieval | AI/ML, Search | 2024 |
| 3 | Building DoorDash's product knowledge graph with large language models | AI/ML, Data Engineering | 2024 |
| 4 | DoorDash's in-house search engine | Search | 2024 |
| 5 | DoorDash's write-heavy scalable and reliable inventory platform | Architecture, Databases | 2023 |
| 6 | Doordash's scalable real time event processing with Kafka and Flink | Data Engineering | 2022 |
| 7 | DoorDash's Lessons on Improving Performance on High-Traffic Web Pages | Performance, Frontend | 2022 |
| 8 | How DoorDash Applied Client-Side Caching to Improve Feature Store Performance by 70% | Caching, AI/ML | 2022 |
| 9 | Building a Unified Chat Experience at DoorDash | Messaging | 2022 |
Dropbox
Dropbox Tech Blog
| # | Article | Topics | Year |
|---|---|---|---|
| 1 | How Dropbox evolved its infrastructure through the messaging system model | Architecture, Messaging | 2025 |
| 2 | Dropbox's scalable, consistent, metadata caching solution | Caching | 2024 |
| 3 | Bringing AI-powered answers and summaries to file previews on the web | AI/ML | 2024 |
| 4 | Dropbox's ML-powered file organization | AI/ML | 2023 |
| 5 | How Dropbox uses ML to identify date formats in file names | AI/ML | 2023 |
| 6 | How Dropbox optimizes payments with machine learning | AI/ML, Payments | 2021 |
eBay
eBay Tech Blog
| # | Article | Topics | Year |
|---|---|---|---|
| 1 | How ebay Exports Billion-Scale Graphs on Transactional Graph Databases | Databases | 2023 |
| 2 | eBay's Personalized User-Based Ranking Model for Recommendations | AI/ML, Search | 2023 |
| 3 | How Multimodal Embeddings Elevate eBay's Product Recommendations | AI/ML, Search | 2023 |
| 4 | eBay's Blazingly Fast Billion-Scale Vector Similarity Engine | Search, Performance | 2023 |
| 5 | How eBay Handles Real-Time Push Notifications at Scale | Messaging | 2022 |
| 6 | Building a Deep Learning Based Retrieval System for Personalized Recommendations | AI/ML, Search | 2022 |
| 7 | How eBay Loads and Updates Over Ten-Billion-Vertex Graphs | Databases, Performance | 2021 |
| 8 | eBay's real-time and performant index service for its large-scale, in-house database platform | Databases | 2021 |
Facebook/Meta
Meta Engineering Blog
| # | Article | Topics | Year |
|---|---|---|---|
| 1 | Indexing code at scale with Glean - Meta's open source system | Search, Infrastructure | 2024 |
| 2 | Inside Facebook's video delivery system | Video/Media | 2024 |
| 3 | Meta's Sequence learning Model for personalized ads recommendations | AI/ML | 2024 |
| 4 | How Meta animates AI-generated images at scale | AI/ML, Infrastructure | 2024 |
| 5 | How Meta trains large language models at scale | AI/ML, Infrastructure | 2024 |
| 6 | Building Meta's GenAI Infrastructure | AI/ML, Infrastructure | 2024 |
| 7 | RoCE networks for distributed AI training at scale | Infrastructure, AI/ML | 2024 |
| 8 | How Meta built the infrastructure for Threads | Infrastructure | 2023 |
| 9 | Building end-to-end security for Messenger | Security | 2023 |
| 10 | Modernizing Meta's data platform | Data Engineering | 2023 |
| 11 | How Precision Time Protocol is being deployed at Meta | Infrastructure | 2022 |
| 12 | Scaling data ingestion for machine learning training at Meta | AI/ML, Data Engineering | 2022 |
| 13 | Meta's cloud gaming infrastructure | Infrastructure | 2022 |
| 14 | Cache made consistent - How Meta handles cache invalidation | Caching | 2022 |
| 15 | A highly available, strongly consistent storage service using chain replication | Databases, Architecture | 2022 |
| 16 | Making a distributed priority queue disaster-ready | Architecture | 2022 |
| 17 | How we built a general purpose key value store for Facebook with ZippyDB | Databases | 2021 |
| 18 | Fully Sharded Data Parallel: faster AI training with fewer GPUs | AI/ML, Infrastructure | 2021 |
| 19 | How Facebook encodes your videos | Video/Media | 2021 |
| 20 | Scaling a distributed priority queue at Meta | Architecture | 2021 |
| 21 | How machine learning powers Facebook's News Feed ranking algorithm | AI/ML | 2021 |
| 22 | How Meta scaled Live streaming for millions of viewers simultaneously | Video/Media, Performance | 2020 |
Figma
Figma Engineering Blog
| # | Article | Topics | Year |
|---|---|---|---|
| 1 | The infrastructure behind AI search in Figma | Search, AI/ML | 2024 |
| 2 | Speeding up file load times at Figma | Performance | 2024 |
| 3 | Figma's LiveGraph: a real-time data system at scale | Architecture, Data Engineering | 2024 |
| 4 | How Figma horizontally scaled Postgres to unlock nearly infinite scalability | Databases | 2024 |
| 5 | How Figma improved performance and load time with incremental frame loading | Performance | 2024 |
| 6 | How Figma reduced potential instability by scaling to multiple databases | Databases | 2023 |
| 7 | The hidden challenges of autosave | Architecture | 2020 |
| 8 | Figma's deep search to find the right files even faster | Search | 2020 |
Flipkart
Flipkart Tech Blog
| # | Article | Topics | Year |
|---|---|---|---|
| 1 | Flipkart's MySQL Highly Available Setup | Databases | 2023 |
| 2 | Running a multi-region Zookeeper at Flipkart | Infrastructure | 2021 |
| 3 | Memory Tuning a High Throughput Microservice | Performance | 2021 |
| 4 | Building Flipkart's Personalized Search Autosuggestion | AI/ML, Search | 2021 |
| 5 | Predicting your next query even before you type! | AI/ML, Search | 2021 |
| 6 | How Flipkart Adapted Search to Indian Phonetics | Search | 2020 |
GitHub
GitHub Engineering Blog
| # | Article | Topics | Year |
|---|---|---|---|
| 1 | How we improved push processing on GitHub | Performance | 2024 |
| 2 | How GitHub uses merge queue to ship hundreds of changes every day | Infrastructure | 2024 |
| 3 | How GitHub Docs' new search works | Search | 2023 |
| 4 | The technology behind GitHub's new code search | Search | 2023 |
| 5 | Scaling Git's garbage collection | Performance | 2022 |
| 6 | Improve Git monorepo performance with a file system monitor | Performance, Infrastructure | 2022 |
| 7 | Partitioning GitHub's relational databases to handle scale | Databases | 2021 |
Google Research
Google Research Blog
| # | Article | Topics | Year |
|---|---|---|---|
| 1 | Load balancing with random job arrivals | Infrastructure | 2025 |
| 2 | Transformers in music recommendation | AI/ML, Search | 2024 |
| 3 | Scaling multimodal understanding to long videos | AI/ML, Video/Media | 2023 |
| 4 | Answering billions of reporting queries each day with low latency | Databases, Performance | 2023 |
| 5 | Grammar checking at Google Search scale | AI/ML, Search | 2023 |
| 6 | World scale inverse reinforcement learning in Google Maps | AI/ML | 2023 |
| 7 | Resolving code review comments with ML | AI/ML | 2023 |
Instagram Engineering Blog
| # | Article | Topics | Year |
|---|---|---|---|
| 1 | Scaling the Instagram Explore recommendations system | AI/ML, Search | 2023 |
| 2 | Reducing Instagram's basic video compute time by 94 percent | Video/Media, Performance | 2022 |
| 3 | Improving Instagram notification management with machine learning and causal inference | AI/ML, Messaging | 2022 |
| 4 | Building text animations for Instagram Stories | Frontend | 2022 |
| 5 | Pushing the limits of compression in Facebook's mobile apps | Mobile, Performance | 2021 |
| 6 | How Instagram suggests new content | AI/ML, Search | 2020 |
Instacart
Instacart Tech Blog
| # | Article | Topics | Year |
|---|---|---|---|
| 1 | Real-time Fraud Detection with Yoda and ClickHouse | Security, Data Engineering | 2024 |
| 2 | How Instacart Uses ML to Suggest Replacements for Out-of-Stock Products | AI/ML | 2024 |
| 3 | Sequence models for Contextual Recommendations at Instacart | AI/ML, Search | 2024 |
| 4 | Supercharging Discovery in Search with LLMs | AI/ML, Search | 2024 |
| 5 | Optimizing search relevance at Instacart using hybrid retrieval | Search | 2024 |
| 6 | Instacart's Item Availability Architecture: Solving for scale and consistency | Architecture | 2023 |
| 7 | Instacart's one Deep Learning model for multiple surfaces | AI/ML | 2023 |
| 8 | Distributed Machine Learning at Instacart | AI/ML, Infrastructure | 2023 |
| 9 | How Instacart Uses Embeddings to Improve Search Relevance | AI/ML, Search | 2022 |
| 10 | The Journey to Real-Time Machine Learning at Instacart | AI/ML | 2022 |
| 11 | How Instacart Uses ML-Driven Autocomplete to Help People Fill Their Carts | AI/ML, Search | 2022 |
| 12 | How Instacart optimized its Logistics engine using ML | AI/ML | 2021 |
| 13 | A simple search query correction heuristic for the resource-constrained | Search | 2020 |
| 14 | Predicting the real-time availability of 200 million grocery items | AI/ML | 2018 |
| 15 | How Instacart delivers on time | AI/ML | 2018 |
LinkedIn Engineering Blog
| # | Article | Topics | Year |
|---|---|---|---|
| 1 | Scalable federated learning at LinkedIn | AI/ML | 2025 |
| 2 | Building a resilient DNS client for web-scale infrastructure | Infrastructure | 2025 |
| 3 | Journey of next generation control plane for data systems | Infrastructure, Data Engineering | 2025 |
| 4 | Candidate Generation in a Large Scale Graph Recommendation System | AI/ML, Search | 2024 |
| 5 | Accelerating LinkedIn's My Network tab by reducing latency and improving UX | Performance, Frontend | 2024 |
| 6 | Tuning Java for high-performance services | Performance | 2024 |
| 7 | LinkedIn OpenHouse for Big Data Management | Data Engineering | 2023 |
| 8 | How LinkedIn Adopted A GraphQL Architecture for Product Development | Architecture | 2023 |
| 9 | How LinkedIn Is Using Embeddings to Up Its Match Game for Job Seekers | AI/ML, Search | 2023 |
| 10 | Building the Infrastructure for Delivering Labor Market Insights from LinkedIn Data | Data Engineering | 2023 |
| 11 | Upscaling LinkedIn's Profile Datastore While Reducing Costs | Databases, Cost Optimization | 2023 |
| 12 | Unifying Messaging Experiences across LinkedIn | Messaging | 2023 |
| 13 | Applying multitask learning to AI models at LinkedIn | AI/ML | 2022 |
| 14 | Building a mutable dataset in data lake | Data Engineering | 2022 |
| 15 | Completing a member knowledge graph with Graph Neural Networks | AI/ML | 2021 |
| 16 | Homepage feed multi-task learning using TensorFlow | AI/ML | 2021 |
| 17 | Evolving LinkedIn's analytics tech stack | Data Engineering | 2021 |
| 18 | Scaling LinkedIn's Hadoop YARN cluster beyond 10,000 nodes | Infrastructure, Data Engineering | 2021 |
| 19 | HTTP/2 in infrastructure: Ambry network stack refactoring | Infrastructure, Performance | 2021 |
| 20 | Building a heterogeneous social network recommendation system | AI/ML, Search | 2020 |
Lyft
Lyft Engineering Blog
| # | Article | Topics | Year |
|---|---|---|---|
| 1 | From Big Data to Better Data: Ensuring Data Quality with Verity | Data Engineering | 2023 |
| 2 | Building Real-time Machine Learning Foundations at Lyft | AI/ML, Infrastructure | 2023 |
| 3 | The Recommendation System at Lyft | AI/ML, Search | 2023 |
| 4 | lyft2vec — Embeddings at Lyft | AI/ML | 2023 |
| 5 | Powering Millions of Real-Time Decisions with LyftLearn Serving | AI/ML, Infrastructure | 2023 |
| 6 | Pricing at Lyft | Architecture | 2022 |
| 7 | ML Model Training Infrastructure built on Kubernetes | AI/ML, Infrastructure | 2021 |
| 8 | Elasticsearch Optimizations at Lyft | Search, Performance | 2021 |
| 9 | How Lyft discovered OpenStreetMap is the Freshest Map for Rideshare | Data Engineering | 2021 |
| 10 | Using Client-Side Map Data to Improve Real-Time Positioning | Mobile | 2021 |
| 11 | How Lyft predicts a rider's destination for better in-app experience | AI/ML | 2020 |
| 12 | A New Real-Time Map-Matching Algorithm at Lyft | AI/ML | 2020 |
Netflix
Netflix Tech Blog
| # | Article | Topics | Year |
|---|---|---|---|
| 1 | Foundation Model for Personalized Recommendation | AI/ML, Search | 2025 |
| 2 | How Netflix processes billions of impressions daily | Data Engineering | 2025 |
| 3 | Netflix's Distributed Counter Abstraction | Architecture | 2024 |
| 4 | Evolving Netflix's WebSocket proxy for the future | Messaging, Infrastructure | 2024 |
| 5 | Netflix's Key-Value Data Abstraction Layer | Databases | 2024 |
| 6 | Netflix's TimeSeries Data Abstraction Layer | Databases | 2024 |
| 7 | Recommending for Long-Term Member Satisfaction at Netflix | AI/ML | 2024 |
| 8 | Maestro: Data/ML Workflow Orchestrator at Netflix | Data Engineering, AI/ML | 2024 |
| 9 | Reverse Searching Netflix's Federated Graph | Architecture, Search | 2024 |
| 10 | Supporting Diverse ML Systems at Netflix | AI/ML, Infrastructure | 2024 |
| 11 | Rebuilding Netflix Video Processing Pipeline with Microservices | Video/Media, Architecture | 2024 |
| 12 | Building In-Video Search | Search, Video/Media | 2023 |
| 13 | Streaming SQL in Data Mesh | Data Engineering | 2023 |
| 14 | Migrating Netflix to GraphQL Safely | Architecture | 2023 |
| 15 | Scaling Media Machine Learning at Netflix | AI/ML, Video/Media | 2023 |
| 16 | Building a Media Understanding Platform for ML Innovations | AI/ML, Video/Media | 2023 |
| 17 | Finding Cuts with Smooth Visual Transitions Using Machine Learning | AI/ML, Video/Media | 2022 |
| 18 | Machine Learning for Fraud Detection in Streaming Services | AI/ML, Security | 2022 |
| 19 | Netflix's High-Throughput, Low-Latency Priority Queueing System | Architecture, Performance | 2022 |
| 20 | Rapid Event Notification System at Netflix | Messaging | 2022 |
| 21 | Building Netflix's Distributed Tracing Infrastructure | Observability | 2020 |
Notion
Notion Blog
| # | Article | Topics | Year |
|---|---|---|---|
| 1 | Building and scaling Notion's data lake | Data Engineering | 2024 |
| 2 | How we sped up Notion in the browser with WASM SQLite | Performance, Frontend | 2024 |
| 3 | The Great Re-shard: adding Postgres capacity (again) with zero downtime | Databases | 2023 |
| 4 | Creating the Notion API | Architecture | 2022 |
| 5 | The data model behind Notion's flexibility | Architecture, Databases | 2021 |
| 6 | Lessons learned from sharding Postgres at Notion | Databases | 2021 |
PayPal
PayPal Tech Blog
| # | Article | Topics | Year |
|---|---|---|---|
| 1 | Scaling PayPal's AI Capabilities with PayPal Cosmos.AI Platform | AI/ML, Infrastructure | 2024 |
| 2 | Scaling Kafka to Support PayPal's Data Growth | Data Engineering | 2023 |
| 3 | JunoDB: PayPal's Key-Value Store | Databases | 2023 |
| 4 | Scaling Kubernetes to Over 4k Nodes and 200k Pods | Infrastructure | 2022 |
| 5 | GraphQL at PayPal: An Adoption Story | Architecture | 2021 |
| 6 | How PayPal Uses Real-time Graph Database and Graph Analysis to Fight Fraud | Security, Databases | 2021 |
| 7 | Next-Gen Data Movement Platform at PayPal | Data Engineering | 2021 |
| 8 | Deploying Large-scale Fraud Detection Machine Learning Models at PayPal | AI/ML, Security | 2021 |
Pinterest Engineering Blog
| # | Article | Topics | Year |
|---|---|---|---|
| 1 | How Pinterest improved Search Relevance using LLMs | AI/ML, Search | 2025 |
| 2 | How Pinterest built it's Text-to-SQL feature | AI/ML, Data Engineering | 2024 |
| 3 | Change Data Capture at Pinterest | Data Engineering | 2024 |
| 4 | Real Time Anomaly Detection at Pinterest | Observability | 2023 |
| 5 | Improving Distributed Caching Performance and Efficiency at Pinterest | Caching | 2022 |
| 6 | How Pinterest Leverages Realtime User Actions to Boost Homefeed Engagement Volume | AI/ML, Search | 2022 |
| 7 | How Pinterest scaled the size of it's ad corpus by 60x | Performance | 2021 |
| 8 | The machine learning behind delivering relevant ads | AI/ML | 2021 |
Quora
Quora Engineering Blog
| # | Article | Topics | Year |
|---|---|---|---|
| 1 | Building Embedding Search at Quora | Search, AI/ML | 2024 |
| 2 | Migrating a decade of Redshift usages to Trino at Quora | Data Engineering | 2024 |
| 3 | Trino at Quora Scale: Cost, Speed, and Reliability | Data Engineering, Performance | 2023 |
| 4 | MySQL sharding at Quora | Databases | 2020 |
Razorpay
Razorpay Engineering Blog
| # | Article | Topics | Year |
|---|---|---|---|
| 1 | Razorpay's Authentication Revamp | Performance, Security | 2023 |
| 2 | The Making of Razorpay Developer-Console | Frontend | 2023 |
| 3 | How Razorpay Reduced Data Platform Cost by $2M | Cost Optimization | 2023 |
| 4 | Reducing Kubernetes cost by $300,000 at Razorpay | Cost Optimization, Infrastructure | 2023 |
| 5 | How does Razorpay Capital Detect Duplicate or Fraud Merchants? | Security, AI/ML | 2023 |
| 6 | Razorpay's Real-Time Denormalized Data Streaming Platform | Data Engineering | 2023 |
| 7 | How Razorpay's Notification Service Handles Increasing Load | Messaging, Performance | 2022 |
| 8 | How Trino and Alluxio power analytics at Razorpay | Data Engineering | 2022 |
| 9 | Handling Burst Traffic During IPL | Performance, Infrastructure | 2021 |
Reddit Engineering Blog
| # | Article | Topics | Year |
|---|---|---|---|
| 1 | Evolving Reddit's Media Infrastructure | Video/Media, Infrastructure | 2025 |
| 2 | Scaling our Apache Flink powered real-time ad event validation pipeline | Data Engineering | 2025 |
| 3 | Scaling Reddit's ad-serving system | Performance | 2024 |
| 4 | Product Candidate Generation for Reddit Dynamic Product Ads | AI/ML | 2024 |
| 5 | Scaling Ads Pacing: from Singleton to Sharded | Architecture | 2024 |
| 6 | Introducing a Global Retrieval Ranking Model in the Ads Funnel | AI/ML | 2024 |
| 7 | Building an Experiment-Based Routing Service | Architecture | 2023 |
| 8 | The Reddit Media Metadata Store | Video/Media, Databases | 2023 |
Salesforce
Salesforce Engineering Blog
| # | Article | Topics | Year |
|---|---|---|---|
| 1 | Scaling Real-Time Search to 30 Billion Queries with Sub-Second Latency and 0% Downtime | Search, Performance | 2025 |
| 2 | Scaling Agentic AI Powering 2 Billion Predictions Monthly | AI/ML | 2025 |
| 3 | How Agentforce Data Library Powers RAG with 99.99% Uptime | AI/ML | 2025 |
| 4 | Secrets for Managing 100,000 Training and Metadata Requests Per Minute | AI/ML, Infrastructure | 2024 |
| 5 | Inside the Brain of Agentforce | AI/ML | 2024 |
| 6 | How Salesforce Supports Millions of Users Seamlessly for GenAI | AI/ML, Infrastructure | 2024 |
| 7 | Inside Salesforce's Scalable Time Series Forecasting AI Platform | AI/ML, Data Engineering | 2024 |
| 8 | How Salesforce's Data Cloud Handles 250 Trillion Transactions Weekly | Data Engineering, Performance | 2024 |
Shopify
Shopify Engineering Blog
| # | Article | Topics | Year |
|---|---|---|---|
| 1 | How Shopify improved consumer search intent with real-time ML | AI/ML, Search | 2024 |
| 2 | Horizontally scaling the Rails backend of Shop app with Vitess | Databases, Performance | 2024 |
| 3 | Improving Shopify App's Performance | Performance, Mobile | 2024 |
| 4 | Building a ShopifyQL Code Editor | Frontend | 2023 |
| 5 | Creating a Flexible Order Routing System with Shopify Functions | Architecture | 2023 |
| 6 | Using Server Sent Events to Simplify Real-time Streaming at Scale | Architecture, Data Engineering | 2022 |
| 7 | Capturing Every Change From Shopify's Sharded Monolith | Data Engineering, Architecture | 2021 |
Slack
Slack Engineering Blog
| # | Article | Topics | Year |
|---|---|---|---|
| 1 | How Slack Optimizes its E2E Pipeline | Infrastructure | 2025 |
| 2 | How Slack built enterprise search to be secure and private | Search, Security | 2025 |
| 3 | Advancing Our Chef Infrastructure | Infrastructure | 2024 |
| 4 | How We Re-Architected Slack for Our Largest Customers | Architecture | 2024 |
| 5 | How Slack automatically detects stolen session cookies | Security | 2024 |
| 6 | How a request flows — from a Slack's user perspective | Architecture | 2023 |
| 7 | Slack's Migration to a Cellular Architecture | Architecture | 2023 |
| 8 | Real-time Messaging at Slack | Messaging | 2023 |
| 9 | How Slack traces the flow of notifications across systems | Observability, Messaging | 2023 |
| 10 | Slack's Unified end-to-end machine learning infrastructure to generate recommendations | AI/ML | 2023 |
| 11 | How We Design Our APIs at Slack | Architecture | 2021 |
| 12 | How we built an eventually-consistent data model to predict Slack Connect invites | AI/ML, Architecture | 2021 |
| 13 | Migrating Millions of Concurrent Websockets to Envoy | Infrastructure, Messaging | 2021 |
| 14 | Scaling Datastores at Slack with Vitess | Databases | 2020 |
Snap
Snap Engineering Blog
| # | Article | Topics | Year |
|---|---|---|---|
| 1 | Bento - Snap's ML Platform | AI/ML, Infrastructure | 2025 |
| 2 | Snap's Embedding-based Retrieval for its video recommendation system | AI/ML, Search | 2023 |
| 3 | How Snap Speed Up Feature Engineering for Recommendation Systems | AI/ML, Data Engineering | 2022 |
| 4 | How Snap leverages synthetic data to boost the development of ML models | AI/ML | 2022 |
| 5 | Training Large-Scale Recommendation Models with TPUs | AI/ML, Infrastructure | 2022 |
| 6 | Machine Learning for Snapchat Ad Ranking | AI/ML | 2022 |
Spotify
Spotify Engineering Blog
| # | Article | Topics | Year |
|---|---|---|---|
| 1 | How Spotify Generated Millions of Content Annotations | AI/ML, Data Engineering | 2024 |
| 2 | Spotify's Data Platform | Data Engineering | 2024 |
| 3 | The What, Why, and How of Mastering App Size | Mobile, Performance | 2023 |
| 4 | How Spotify Automated Content Marketing to Acquire Users at Scale | AI/ML | 2023 |
| 5 | How We Built Infrastructure to Run User Forecasts at Spotify | Infrastructure, AI/ML | 2022 |
Stripe
Stripe Engineering Blog
| # | Article | Topics | Year |
|---|---|---|---|
| 1 | Stripe's system for tracking and validating money movement | Payments, Architecture | 2024 |
| 2 | How Stripe Processed $1 Trillion in Payments with Zero Downtime | Databases, Payments | 2023 |
| 3 | How Stripe built its fraud prevention system | Security, Payments | 2023 |
| 4 | How Stripe builds interactive docs with Markdoc | Frontend | 2022 |
| 5 | Stripe's payments APIs: The first 10 years | Architecture, Payments | 2020 |
Swiggy
Swiggy Engineering Blog
| # | Article | Topics | Year |
|---|---|---|---|
| 1 | Swiggy's Text-to-SQL Solution | AI/ML, Data Engineering | 2024 |
| 2 | Optimising the picking process for faster Instamart deliveries | AI/ML | 2024 |
| 3 | Improving search relevance using small language models | AI/ML, Search | 2024 |
| 4 | Predicting Food Delivery Time at Cart | AI/ML | 2023 |
| 5 | Contextual Bandits for Ads Recommendations | AI/ML | 2022 |
| 6 | Using deep learning to detect dissonance between address text and location | AI/ML | 2022 |
| 7 | Designing Resilient Microservices at Swiggy | Architecture | 2021 |
| 8 | Designing the Serviceability Platform at Swiggy for High Scale | Architecture, Performance | 2021 |
| 9 | A brief introduction to Engineering challenges at Swiggy | Architecture | 2021 |
| 10 | Re-Architecting Swiggy's logistics systems | Architecture | 2021 |
| 11 | Using Deep Learning for Ranking in Dish Search | AI/ML, Search | 2021 |
| 12 | Learning to Predict Two-Wheeler Travel Distance | AI/ML | 2021 |
| 13 | Learning To Rank Restaurants | AI/ML, Search | 2021 |
| 14 | Running Geo Queries At Scale | Databases, Performance | 2020 |
| 16 | Deploying deep learning models at scale at Swiggy | AI/ML, Infrastructure | 2020 |
Tinder
Tinder Tech Blog
| # | Article | Topics | Year |
|---|---|---|---|
| 1 | Tinder API Style Guide | Architecture | 2024 |
| 2 | Building Obsidian, Tinder's Design System | Frontend | 2023 |
| 3 | How Tinder built its API Gateway | Architecture, Infrastructure | 2022 |
| 4 | Scaling out Tinder Android Payment Flow using State Machine | Mobile, Payments | 2020 |
Twitch
Twitch Engineering Blog
| # | Article | Topics | Year |
|---|---|---|---|
| 1 | Ingesting Live Video Streams at Global Scale | Video/Media, Infrastructure | 2022 |
| 2 | Breaking the Monolith at Twitch | Architecture | 2022 |
| 3 | Using Machine Learning to Review Emotes | AI/ML | 2022 |
| 4 | Defense, threat modeling and High Availability at Twitch | Security, Infrastructure | 2021 |
Twitter/X
Twitter/X Engineering Blog
| # | Article | Topics | Year |
|---|---|---|---|
| 1 | Twitter's Recommendation Algorithm | AI/ML, Search | 2023 |
| 2 | How we scaled Reads On the Twitter Users Database | Databases, Performance | 2023 |
| 3 | Powering real-time data analytics with Druid at Twitter | Data Engineering | 2022 |
| 4 | How we built Twitter's highly reliable ads pacing service | Architecture | 2021 |
| 5 | Storing and retrieving millions of ad impressions per second | Databases, Performance | 2021 |
| 6 | Processing billions of events in real time at Twitter | Data Engineering | 2021 |
| 7 | Logging at Twitter | Observability | 2021 |
| 8 | Twitter's ads serving platform | Architecture | 2021 |
Uber
Uber Engineering Blog
| # | Article | Topics | Year |
|---|---|---|---|
| 1 | Migrating Uber's Compute Platform to Kubernetes | Infrastructure | 2025 |
| 2 | MySQL At Uber | Databases | 2025 |
| 3 | How Uber Uses Ray to Optimize the Rides Business | AI/ML | 2025 |
| 4 | How Uber Optimizes LLM Training | AI/ML | 2024 |
| 5 | Natural Language to SQL Using Gen AI | AI/ML | 2024 |
| 6 | Lucene: Uber's Search Platform | Search | 2024 |
| 7 | Uber's implementation of Live Activity on iOS | Mobile | 2024 |
| 8 | Odin: Uber's Stateful Platform | Infrastructure | 2024 |
| 9 | Kafka Tiered Storage at Uber | Data Engineering | 2024 |
| 10 | Modernizing Logging at Uber with CLP | Observability | 2024 |
| 11 | How Uber ensures Apache Cassandra's tolerance for single-zone failure | Databases, Infrastructure | 2024 |
| 12 | How LedgerStore Supports Trillions of Indexes at Uber | Databases | 2024 |
| 13 | Balancing HDFS DataNodes in the Uber DataLake | Data Engineering | 2024 |
| 14 | How Uber Serves Over 40 Million Reads Per Second from Online Storage Using an Integrated Cache | Caching, Performance | 2024 |
| 15 | How Uber Optimized Cassandra Operations At Scale | Databases | 2023 |
| 16 | How Uber Optimizes the Timing of Push Notifications using ML and Linear Programming | AI/ML, Messaging | 2022 |
| 17 | Deduping and Storing Images at Uber Eats | Infrastructure | 2022 |
| 18 | Uber's Next Gen Push Platform on gRPC | Messaging, Infrastructure | 2022 |
| 19 | Uber's Highly Scalable and Distributed Shuffle as a Service | Data Engineering | 2022 |
| 20 | How Uber Predicts Arrival Times Using Deep Learning | AI/ML | 2022 |
| 21 | Real-Time Exactly-Once Ad Event Processing with Apache Flink, Kafka, and Pinot | Data Engineering | 2021 |
Walmart
Walmart Global Tech Blog
| # | Article | Topics | Year |
|---|---|---|---|
| 1 | Walmart's Cassandra CDC Solution | Data Engineering, Databases | 2022 |
| 2 | Scaling the Walmart Inventory Reservations API for Peak Traffic | Performance, Architecture | 2022 |
| 3 | A Markov Chain Formulation for the Grocery Item Picking Process | AI/ML | 2021 |
| 4 | How we rebuilt the Walmart Autocomplete Backend | Search, Performance | 2021 |
| 5 | Building a Notification Framework for Microservice-based Application | Messaging, Architecture | 2021 |
Zomato
Zomato Tech Blog
| # | Article | Topics | Year |
|---|---|---|---|
| 1 | Building a cost-effective logging platform for petabyte scale | Observability, Cost Optimization | 2023 |
| 2 | How Zomato Handles 100 Million Daily Search Queries | Search, Performance | 2023 |
| 3 | How Zomato Powers restaurant ads using ML | AI/ML | 2022 |
| 4 | How Zomato uses embeddings to identify and cluster unique addresses | AI/ML | 2022 |
| 5 | How Zomato predicts your order's Food preparation time | AI/ML | 2022 |
| 6 | How Zomato locates its users | Mobile | 2021 |
| 7 | The Deep Tech Behind Estimating Food Preparation Time | AI/ML | 2020 |
Contributing
Contributions are welcome! Please read the following guidelines:
- Fork the repository
- Add your article suggestion with the following format:
- Article must be from a well-known tech company's engineering blog
- Include the article title, URL, topic tags, and year
- Submit a pull request
Please ensure:
- The article is a genuine engineering blog post (not a marketing piece)
- The link is working and points to the original source
- The topic tags match the categories used in this list
License
MIT - feel free to use this list however you'd like!
If you find this repository helpful, please consider giving it a star! It helps others discover these valuable engineering resources.
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Trả lời nhanh
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ashishps1/awesome-engineering-articles là gì?
ashishps1/awesome-engineering-articles (ashishps1/awesome-engineering-articles) là dự án đa ngôn ngữ trên GitHub. Theo mô tả gốc: A curated collection of 300+ engineering blog articles from top tech companies. Learn how the best engineering teams solve real-world problems at scale.
Cùng nhóm Data còn repo nào?
ashishps1/awesome-engineering-articles thuộc nhóm Data trên TopGit, cùng 8 topic GitHub. Trang Trending và Topics liệt kê các repo cùng số sao và cùng ngôn ngữ để so sánh.
Đọc thêm về ashishps1/awesome-engineering-articles ở đâu?
Trang TopGit này là một snapshot — tab "Readme" hiển thị nguyên văn README của repo (đã bỏ link, giữ ảnh). Repo GitHub ở github.com/ashishps1/awesome-engineering-articles là nguồn chính thức.
Vì sao ashishps1/awesome-engineering-articles được xếp vào nhóm Data?
TopGit xếp ashishps1/awesome-engineering-articles vào nhóm Data dựa trên GitHub topics và mô tả của repo (gắn thẻ: "ai", "data-engineering", "database"). Việc phân loại dựa trên metadata thật của repo, không phải đoán theo cảm tính biên tập.
Đọc đầy đủ README ở tab phía trên.