Here are some of the favorite posts on HighScalability...

• YouTube Architecture
• Hilarious Video: Relational Database Vs NoSQL Fanbois
• Plenty Of Fish Architecture
• Google Architecture
• How Twitter Stores 250 Million Tweets A Day Using MySQL
• Scaling Twitter: Making Twitter 10000 Percent Faster
• Flickr Architecture
• Amazon Architecture
• How I Learned to Stop Worrying and Love Using a Lot of Disk Space to Scale
• Stack Overflow Architecture
• 7 Years Of YouTube Scalability Lessons In 30 Minutes
• Facebook
• Google On Latency Tolerant Systems: Making A Predictable Whole Out Of Unpredictable Parts  
• An Unorthodox Approach to Database Design : The Coming of the Shard
• Building Super Scalable Systems: Blade Runner Meets Autonomic Computing in the Ambient Cloud
• Startups Are Creating A New System Of The World For IT
• Are Cloud Based Memory Architectures the Next Big Thing?
• Latency is Everywhere and it Costs You Sales - How to Crush it
• How will memristors change everything? 
• DataSift Architecture: Realtime Datamining At 120,000 Tweets Per Second
• Useful Scalability Blogs
• Pinterest Architecture Update - 18 Million Visitors, 10x Growth,12 Employees, 410 TB Of Data
• Scaling Traffic: People Pod Pool of On Demand Self Driving Robotic Cars who Automatically Refuel from Cheap Solar
• Why My Slime Mold Is Better Than Your Hadoop Cluster
• VoltDB Decapitates Six SQL Urban Myths And Delivers Internet Scale OLTP In The Process
• The Canonical Cloud Architecture 
• Justin.Tv's Live Video Broadcasting Architecture
• Why Are Facebook, Digg, And Twitter So Hard To Scale?
• What The Heck Are You Actually Using NoSQL For?
• Playfish's Social Gaming Architecture - 50 Million Monthly Users And Growing
• The Updated Big List Of Articles On The Amazon Outage
• Using Gossip Protocols For Failure Detection, Monitoring, Messaging And Other Good Things
• The Etsy Saga: From Silos To Happy To Billions Of Pageviews A Month
• How Twitter Stores 250 Million Tweets A Day Using MySQL
• Tumblr Architecture - 15 Billion Page Views A Month And Harder To Scale Than Twitter
• Is It Time To Get Rid Of The Linux OS Model In The Cloud?
• The State Of NoSQL In 2012
• Ask HighScalability: Facing Scaling Issues With News Feeds On Redis. Any Advice?
• Facebook Timeline: Brought To You By The Power Of Denormalization
• A Perfect Fifth Of Notes On Scalability
• Cell Architectures
• Netflix: Developing, Deploying, And Supporting Software According To The Way Of The Cloud
• Instagram Architecture: 14 Million Users, Terabytes Of Photos, 100s Of Instances, Dozens Of Technologies
• The Instagram Architecture Facebook Bought For A Cool Billion Dollars
• 10 Core Architecture Pattern Variations For Achieving Scalability
• StackExchange Architecture Updates - Running Smoothly, Amazon 4x More Expensive
• Pursue Robust Indefinite Scalability With The Movable Feast Machine
• Tagged Architecture - Scaling To 100 Million Users, 1000 Servers, And 5 Billion Page Views
• 17 Techniques Used To Scale Turntable.Fm And Labmeeting To Millions Of Users
• 5 Scalability Poisons And 3 Cloud Scalability Antidotes
• Must See: 5 Steps To Scaling MongoDB (Or Any DB) In 8 Minutes
• What Google App Engine Price Changes Say About The Future Of Web Architecture
• The Three Ages Of Google - Batch, Warehouse, Instant
• Big List Of 20 Common Bottlenecks
• Strategy: Run A Scalable, Available, And Cheap Static Site On S3 Or GitHub
• Paper: The Akamai Network - 61,000 Servers, 1,000 Networks, 70 Countries 
• LevelDB - Fast And Lightweight Key/Value Database From The Authors Of MapReduce And BigTable
• Jim Starkey Is Creating A Brave New World By Rethinking Databases For The Cloud
• Peecho Architecture - Scalability On A Shoestring
• Google+ Is Built Using Tools You Can Use Too: Closure, Java Servlets, JavaScript, BigTable, Colossus, Quick Turnaround
• 11 Common Web Use Cases Solved In Redis
• TripAdvisor Architecture - 40M Visitors, 200M Dynamic Page Views, 30TB Data
• 35+ Use Cases For Choosing Your Next NoSQL Database
• 101 Questions To Ask When Considering A NoSQL Database
• Awesome List Of Advanced Distributed Systems Papers
• Stack Overflow Makes Slow Pages 100x Faster By Simple SQL Tuning
• Heroku Emergency Strategy: Incident Command System And 8 Hour Ops Rotations For Fresh Minds
• 6 Ways Not To Scale That Will Make You Hip, Popular And Loved By VCs
• Aztec Empire Strategy: Use Dual Pipes In Your Aqueduct For High Availability
• Did The Microsoft Stack Kill MySpace?
• Facebook's New Realtime Analytics System: HBase To Process 20 Billion Events Per Day
• 6 Lessons From Dropbox - One Million Files Saved Every 15 Minutes
• This Stuff Isn't Taught, You Learn It Bit By Bit As You Solve Each Problem.
• Is Node.Js Becoming A Part Of The Stack? SimpleGeo Says Yes.
• Mollom Architecture - Killing Over 373 Million Spams At 100 Requests Per Second
  Google Pro Tip: Use Back-Of-The-Envelope-Calculations To Choose The Best Design
• Netflix: Continually Test By Failing Servers With Chaos Monkey
• 7 Design Patterns For Almost-Infinite Scalability
• What The Heck Are You Actually Using NoSQL For?
• GPU Vs CPU Smackdown : The Rise Of Throughput-Oriented Architectures
• 8 Commonly Used Scalable System Design Patterns
• Great Introductory Video On Scalability From Harvard Computer Science
• Facebook's New Real-Time Messaging System: HBase To Store 135+ Billion Messages A Month
• Facebook At 13 Million Queries Per Second Recommends: Minimize Request Variance
• Machine VM + Cloud API - Rewriting The Cloud From Scratch
• 10 Golden Principles For Building Successful Mobile/Web Applications
• Troubles With Sharding - What Can We Learn From The Foursquare Incident?
• Google's Colossus Makes Search Real-Time By Dumping MapReduce
• 6 Ways To Kill Your Servers - Learning How To Scale The Hard Way
• Misco: A MapReduce Framework For Mobile Systems - Start Of The Ambient Cloud?
• Scaling An AWS Infrastructure - Tools And Patterns
• Vertical Scaling Ascendant - How Are SSDs Changing  Architectures?
• Think Of Latency As A Pseudo-Permanent Network Partition
• 7 Scaling Strategies Facebook Used To Grow To 500 Million Users
• How Can We Spark The Movement Of Research Out Of The Ivory Tower And Into Production?
• Big Data Counting: How To Count A Billion Distinct Objects Using Only 1.5KB Of Memory
• Google: Taming The Long Latency Tail - When More Machines Equals Worse Results
• Ask For Forgiveness Programming - Or How We'll Program 1000 Cores
• Grace Hopper To Programmers: Mind Your Nanoseconds!
• The Anatomy Of Search Technology: Blekko’s NoSQL Database
• The Anatomy Of Search Technology: Crawling Using Combinators
• C Is For Compute - Google Compute Engine (GCE)
• 10 Golden Principles For Building Successful Mobile/Web Applications
• The Performance Of Distributed Data-Structures Running On A "Cache-Coherent" In-Memory Data Grid
• MemSQL Architecture - The Fast (MVCC, InMem, LockFree, CodeGen) And Familiar (SQL)
• Prismatic Architecture - Using Machine Learning On Social Networks To Figure Out What You Should Read On The Web
• Changing Architectures: New Datacenter Networks Will Set Your Code And Data Free  
• MemSQL Architecture - The Fast (MVCC, InMem, LockFree, CodeGen) And Familiar (SQL)
• Prismatic Architecture - Using Machine Learning On Social Networks To Figure Out What You Should Read On The Web 
• Vertical Scaling Ascendant - How Are SSDs Changing  Architectures?
• 10 Golden Principles For Building Successful Mobile/Web Applications
• The Clever Ways Chrome Hides Latency By Anticipating Your Every Need
• An Epic TripAdvisor Update: Why Not Run On The Cloud? The Grand Experiment.
• Google Spanner's Most Surprising Revelation: NoSQL is Out and NewSQL is In
• Russ’ 10 Ingredient Recipe for Making 1 Million TPS on $5K Hardware
• Sharding The Hibernate Way
• The Mother Of All Database Normalization Debates On Coding Horror
• Log Everything All The Time
• Scaling Secret #2: Denormalizing Your Way To Speed And Profit
• Strategy: Diagonal Scaling - Don't Forget To Scale Out AND Up
• Paper: On Designing And Deploying Internet-Scale Services
• ZooKeeper - A Reliable, Scalable Distributed Coordination System 
• GridGain: One Compute Grid, Many Data Grids
• Scaling Spam Eradication Using Purposeful Games: Die Spammer Die!
• Google AppEngine - A Second Look
• Cloud Programming Directly Feeds Cost Allocation Back Into Software Design
• Paper: The End Of An Architectural Era (It’s Time For A Complete Rewrite)
• At Some Point The Cost Of Servers Outweighs The Cost Of Programmers
• Drop ACID And Think About Data
• How To Succeed At Capacity Planning Without Really Trying : An Interview With Flickr's John Allspaw On His New Book
• How Google Serves Data From Multiple Datacenters
• Strategy: Break Up The Memcache Dog Pile 
• Building Scalable Systems Using Data As A Composite Material
• MySQL And Memcached: End Of An Era?
• Seven Signs You May Need A NoSQL Database
• 7 Lessons Learned While Building Reddit To 270 Million Page Views A Month
• How Can We Spark The Movement Of Research Out Of The Ivory Tower And Into Production?
• 6 Ways To Kill Your Servers - Learning How To Scale The Hard Way
• Machine VM + Cloud API - Rewriting The Cloud From Scratch
• Heroku Emergency Strategy: Incident Command System And 8 Hour Ops Rotations For Fresh Minds
• 6 Ways Not To Scale That Will Make You Hip, Popular And Loved By VCs
• Google+ Is Built Using Tools You Can Use Too: Closure, Java Servlets, JavaScript, BigTable, Colossus, Quick Turnaround
• How Twitter Stores 250 Million Tweets A Day Using MySQL

Posts Teaching the Basics 

• 7 Scaling Strategies Facebook Used To Grow To 500 Million Users
• The 7 Stages Of Scaling Web Apps
• The 4 Building Blocks Of Architecting Systems For Scale
• Scalability for Dummies by Sebastian Kreutzberger
• Great Introductory Video On Scalability From Harvard Computer Science
• The 7 Stages Of Scaling Web Apps
• Five Ways To Stop Framework Fixation From Crashing Your Scaling Strategy
• What's Your Scalability Plan?
• Some Facebook Secrets To Better Operations
• Papers: Readings In Distributed Systems
• Learn How To Think At Scale
• Real World Web: Performance & Scalability
• The Canonical Cloud Architecture
• How Google Taught Me To Cache And Cash-In
• 8 Commonly Used Scalable System Design Patterns
• Google Pro Tip: Use Back-Of-The-Envelope-Calculations To Choose The Best Design
• Awesome List Of Advanced Distributed Systems Papers