High Scalability - High Scalability - How to Avoid the Top 5 Scale-Out Pitfalls - The Diigo Meta page

• 09 Oct 09
  

  StuartForsyth
  • Introduce asynchronous communication, parallelization, and strategies to deal with approximate or slightly outdated data
  • Don't Think Synchronously. Introduce asynchronous communication, parallelization, and strategies to deal with approximate or slightly outdated data.
  • 4 more annotations...
  • • Don't Think Vertically.  Scaling by bigger machines won't work. Plan on horizontal scaling and asynchronous architectures form the start which make it easy to add capacity on demand.
    • Don't Mix Transactions with Business Intelligence. Transactions and analytics are inherently different. Separate out different types of data onto different databases.
    • Avoid Mixing Hot and Cold Data. Static and fast changing data are inherently different. Separate out different types of data onto different databases.
    • Don't Forget the Power of Memory.  Make data accessible in RAM by smartly partitioning data across servers.
• 08 Oct 09
  

  luke chi
• 

  Ruud
  • How to Avoid the Top 5 Scale-Out Pitfalls
• 

  Damon Snyder

  scalability performance

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