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Performance

Efficient Resource Utilization of Search:

  • Serverless architectures to reduce the amount of resources needed to run search operations.
  • Cloud computing to leverage the elasticity of the cloud to scale up or down resources as needed.
  • Autoscaling to dynamically adjust resources based on demand.
  • Containers to package and run applications with their own set of resources.
  • Virtual machines to create virtual machines that can be used to run search operations with dedicated resources.

Efficient Logic, queries of Search:

  • Use optimized algorithms to reduce the computational complexity of search queries.
  • Utilize query optimization techniques to reduce the number of query executions.
  • Use indexing techniques to reduce the search space for a given query.
  • Utilize sharding techniques to distribute data across multiple nodes, reducing query latency.
  • Caching techniques to reduce the amount of data retrieval from the server.

Efficient Storage, read/write of Search:

  • Data partitioning techniques to reduce the number of disk reads/writes.
  • Columnar data storage techniques to reduce the amount of data that needs to be read/written.
  • Utilize compression techniques to reduce the size of data stored on disk.
  • Data replication techniques to increase the availability of data.
  • Utilize distributed storage techniques to enable data to be distributed across multiple nodes.

Concurrency (Hardware/Software) of Search:

  • Distributed systems to enable concurrent execution of search operations.
  • Threading techniques to enable concurrent execution of search operations.
  • Asynchronous processing techniques to enable concurrent execution of search operations.
  • Message queues to enable concurrent execution of search operations.
  • Utilize task scheduling techniques to enable concurrent execution of search operations.

Caching (Hardware/Software) of Search:

  • Use distributed caching systems to enable caching of data across multiple nodes.
  • Utilize in-memory caching systems to enable caching of data in memory.
  • Use disk-based caching systems to enable caching of data on disk.
  • Content delivery networks (CDN) to enable caching of data in geographically distributed locations.
  • Caching frameworks to enable caching of data in a distributed fashion.

Capacity of Search:

  • Distributed systems to scale up the capacity of search operations.
  • Elastic scaling techniques to increase the capacity of search operations.
  • Load balancing techniques to distribute workloads across multiple nodes.
  • Sharding techniques to increase the capacity of search operations.
  • Partitioning techniques to increase the capacity of search operations.