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Awesome List

January 7, 2022 · huylvt
  • Uniform Consistent Hashing at Netflix
  • NoSQL Databases: Survey and Decision Guidance
  • Clean Architecture
  • On Efficiency, Reliability, Scaling - James Hamilton, VP at AWS
  • Video Metadata Caching at Vimeo
  • Eventually Consistent - Werner Vogels, CTO at Amazon
  • Relying on Software to Redirect Traffic Reliably at Various Layers.
  • Evolution of Container Usage at Netflix
  • Nanoservices at BBC
  • Operate Kubernetes Reliably at Stripe
  • Understand Latency
  • GRIT: Protocol for Distributed Transactions across Microservices at eBay
  • How to Design a Good API & Why it Matters - Joshua Bloch, CMU & Google.
  • Blocking/Non-Blocking and Sync/Async
  • Optimizing Redis Storage at Deliveroo
  • osquery Across the Enterprise at Palantir
  • Stateless vs Stateful Scalability
  • Things to Keep in Mind When Building a Platform for the Enterprise - Heidi Williams, VP Platform at Box.
  • Why Over-Reusing is Bad
  • Observability (2 parts) at Twitter
  • Rubix: Kubernetes at Palantir
  • Reduce Memcached Memory Usage by 50 percent at Trivago
  • Yahoo - Sharing Vespa (Open Source Big Data Serving Engine) at the SF Big Analytics Meetup.
  • The Twelve-Factor App
  • High Cohesion and Low Coupling
  • Use Solid Technologies - Don’t Re-invent the Wheel - Keep It Simple!
  • Nuage: Cloud Management Service at LinkedIn
  • Designs, Lessons and Advice from Building Large Distributed Systems - Jeff Dean, Google
  • EVCache: Distributed In-memory Caching at Netflix
  • Redis at Trivago.
  • Redis Fleet at Heroku
  • Improve Zipkin Traces using Kubernetes Pod Metadata at SoundCloud
  • Vortex: Monitoring Server Applications at Dropbox
  • EVCache Cache Warmer Infrastructure at Netflix
  • Real-time Distributed Tracing at LinkedIn.
  • Improving Stream Data Quality With Protobuf Schema Validation at Deliveroo
  • Nautilus: Search Engine at Dropbox
  • The Probability of Data Loss in Large Clusters
  • Estimating the Cache Efficiency using Big Data at Allegro
  • Real User Monitoring at Dailymotion
  • Eliminating Duplicate Queries using Distributed Locking at Chartio
  • Scale Up vs Scale Out
  • The Calculus of Service Availability.
  • Google AMP at Condé Nast
  • ACID and BASE
  • Principles of Chaos Engineering.
  • Scale Up vs Scale Out: Hidden Costs
  • Nebula: Storage Platform to Build Search Backends at Airbnb
  • Anti-Caching
  • Kubernetes at Tinder
  • Enterprise Key Management at Slack.
  • OAuth Audit Toolbox at Indeed
  • Monoliths and Microservices
  • Improving Search Engine Efficiency by over 25 percent at eBay
  • The Benefits of Server Side Rendering over Client Side Rendering.
  • Architecture Issues When Scaling Web Applications: Bottlenecks, Database, CPU, IO
  • NoSQL Databases
  • Yahoo - Open-Sourcing Panoptes, Oath’s distributed network telemetry collector.
  • Lessons from Giant-Scale Services - Eric Brewer, UC Berkeley & Google
  • Indexing and Querying Telemetry Logs with Lucene at Palantir
  • Natural Language Processing and Content Analysis (2 parts) at Condé Nast
  • Kubernetes at Quora.
  • SQL vs NoSQL
  • Edge Authentication and Token-Agnostic Identity Propagation at Netflix
  • CAP Theorem and Trade-offs
  • Unicorn: Remediation System at eBay
  • Real-Time Data Warehouse with MemSQL on Cisco UCS
  • Improve Performance using Elasticsearch Plugins (2 parts) at Tinder
  • Testing of Microservices at Spotify
  • Yahoo - Apache Pulsar graduates to Top-Level Project.
  • CP Databases and AP Databases
  • Reasons for Choosing S3 over HDFS at Databricks
  • Avoid Over Engineering
  • tCache: Scalable Data-aware Java Caching at Trivago
  • EventHorizon: Tool for Watching Events Streaming at Etsy
  • Replication.
  • Optimizing Memcached Efficiency at Quora
  • Make Performance Part of Your Workflow
  • In-memory Storage
  • Tradeoffs of Replicated Cache at Skyscanner.
  • Latency Numbers Every Programmer Should Know
  • Optimizing Web Servers for High Throughput and Low Latency at Dropbox
  • Automate and Abstract: Lessons at Facebook
  • Database Isolation Levels and Effects on Performance and Scalability.
  • Event Stream Database at Nike
  • Life Beyond Distributed Transactions
  • Enrich VPC Flow Logs at Hyper Scale to provide Network Insight at Netflix
  • Consistent Hashing
  • Tracking Service Infrastructure at Scale at Shopify
  • Read Consistency with Database Replicas at Shopify
  • Image Recovery at Scale Using S3 Versioning at Trivago
  • Consistent Hashing: Algorithmic Tradeoffs.
  • Redshift
  • ELK at Robinhood
  • SQL vs NoSQL - Lesson Learned at Salesforce
  • Unprivileged Container Builds at Kinvolk
  • Linux Performance
  • Tracing Distributed Systems at Showmax.
  • Breaking Things on Purpose
  • Universal Search System at Pinterest
  • Telltale: Application Monitoring at Netflix
  • ThirdEye: Monitoring Platform at LinkedIn
  • Elasticsearch Performance Tuning Practice at eBay
  • Redshift at GIPHY.
  • Microservice at SoundCloud
  • Updating a 50 Terabyte PostgreSQL Database at Adyen
  • Scalability Worst Practices
  • Elasticsearch at Kickstarter
  • Unthrottled: Fixing CPU Limits in the Cloud (2 parts) at Indeed
  • Microservice Architecture at Medium.
  • How Sharding Works
  • Optimizing APIs at Netflix
  • Cache is King
  • Kubernetes Platform at Pinterest
  • Elasticsearch at Target
  • Yahoo - Introducing HaloDB, a fast, embedded key-value storage engine written in Java.
  • WebAuthn Support for Secure Sign In at Dropbox
  • HAProxy with Kubernetes for User-facing Traffic at SoundCloud
  • Improving HBase Backup Efficiency at Pinterest
  • Performance and Scalability of Databases.
  • Microservices at Nubank
  • AWS Do’s and Don’ts
  • Neural Architecture Search (NAS) for Prohibited Item Detection at Mercari
  • Galene: Search Architecture of LinkedIn
  • Optimizing CAL Report Hadoop MapReduce Jobs at eBay.
  • Wormhole: Pub-Sub System at Facebook
  • Optimizing JVM at Alibaba
  • Redshift at Hudl
  • Data Access for Highly-Scalable Solutions: Using SQL, NoSQL, and Polyglot Persistence.
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