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  • What is Caching and How it Works | AWS
    A cache is a high-speed data storage layer which stores a subset of data, typically transient in nature, so that future requests for that data are served up faster than the data’s primary storage location This website describes use cases, best practices, and technology solutions for caching
  • Caching Best Practices | Amazon Web Services
    A cache is a high-speed data storage layer which stores a subset of data, typically transient in nature, so that future requests for that data are served up faster than the data’s primary storage location This website describes use cases, best practices, and technology solutions for caching
  • AWS Caching Solutions
    Memcached - a widely adopted memory object caching system ElastiCache is protocol compliant with Memcached, so popular tools that you use today with existing Memcached environments will work seamlessly with the service
  • Database Caching - aws. amazon. com
    It's easy to get started with caching in the cloud with a fully-managed service like Amazon ElastiCache It removes the complexity of setting up, managing and administering your cache, and frees you up to focus on what brings value to your organization
  • Effectively use prompt caching on Amazon Bedrock
    This post provides a detailed overview of the prompt caching feature on Amazon Bedrock and offers guidance on how to effectively use this feature to achieve improved latency and cost savings
  • Supercharge your development with Claude Code and Amazon Bedrock prompt . . .
    By leveraging prompt caching, you can process large codebases more efficiently, helping to dramatically reduce costs and response times With this technology you can have faster, more natural interactions with your code, allowing you to iterate rapidly with generative AI
  • From caching to real-time analytics: Essential use cases for Amazon . . .
    Caching – ElastiCache for Valkey is extensively used as a caching layer to improve application performance by storing frequently accessed data in memory This reduces the load on databases and improves response times
  • Prompt caching for faster model inference - Amazon Bedrock
    Learn about how to use the prompt caching feature in Amazon Bedrock to get faster model responses and reduce inference costs




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