Remove Cache Remove Efficiency Remove Servers
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Netflix’s Distributed Counter Abstraction

The Netflix TechBlog

Best Effort Regional Counter This type of counter is powered by EVCache , Netflix’s distributed caching solution built on the widely popular Memcached. Without an efficient data retention strategy, this approach may struggle to scale effectively. This is where most of the complexity in Counter Abstraction comes in.

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The Power of Caching: Boosting API Performance and Scalability

DZone

Caching is the process of storing frequently accessed data or resources in a temporary storage location, such as memory or disk, to improve retrieval speed and reduce the need for repetitive processing. Bandwidth optimization: Caching reduces the amount of data transferred over the network, minimizing bandwidth usage and improving efficiency.

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MySQL Data Caching Efficiency

Percona

A shared characteristic in most (if not all) databases, be them traditional relational databases like Oracle, MySQL, and PostgreSQL or some kind of NoSQL-style database like MongoDB, is the use of a caching mechanism to keep (a copy of) part of the data in memory. How do you know if your MySQL database caching is operating efficiently?

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Introducing Netflix’s Key-Value Data Abstraction Layer

The Netflix TechBlog

Our goal was to build a versatile and efficient data storage solution that could handle a wide variety of use cases, ranging from the simplest hashmaps to more complex data structures, all while ensuring high availability, tunable consistency, and low latency. Developers just provide their data problem rather than a database solution!

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Data Fetching and Cache Maintenance With React-Query

DZone

Fetching data from the server and maintaining it is a very crucial issue in frontend development. library applications and how we maintain the server state with the library called React-Query. To manage the server state in the frontend and sync with the backend, we need to update, cache, or re-fetch the data efficiently.

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Dynatrace accelerates business transformation with new AI observability solution

Dynatrace

The RAG process begins by summarizing and converting user prompts into queries that are sent to a search platform that uses semantic similarities to find relevant data in vector databases, semantic caches, or other online data sources. million AI server units annually by 2027, consuming 75.4+

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AWS serverless services: Exploring your options

Dynatrace

Serverless architecture shifts application hosting functions away from local servers onto those managed by providers. This means you no longer have to provision, scale, and maintain servers to run your applications, databases, and storage systems. Let’s get started. Serverless architecture: A primer. AWS serverless offerings.