Understanding Azure Scaling and Database Sharding Techniques

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Explore methods like scaling out, setting resource limits, and database sharding in Azure for efficient resource management and performance optimization. Learn how to scale your applications effectively with Azure services.

  • Azure Scaling
  • Database Sharding
  • Resource Management
  • Performance Optimization
  • Cloud Solutions

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  1. Azure Scale Out Peter Cheung Azure User Group

  2. App Services Scale up

  3. App Services Scale out

  4. Set minimum number of web app instances

  5. Set maximum number of web app instances

  6. SQL Azure Scale up & out

  7. With a single database, you can use either DTU or vCore models to define maximum amount of resources that will be assigned to each database. Elastic pools enable you to define maximum resource limit per group of databases in the pool. Basic Rules

  8. Alternative scale methods Read scale-out is an available feature where you are getting one read-only replica of your data where you can execute demanding read-only queries such as reports. A read-only replica will handle your read-only workload without affecting resource usage on your primary database. Database sharding is a set of techniques that enables you to split your data into several databases and scale them independently.

  9. Database sharding

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