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Why Replace External Database Caches?

DZone

Teams often consider external caches when the existing database cannot meet the required service-level agreement (SLA). However, external caches are not as simple as they are often made out to be. This is a clear performance-oriented decision.

Cache 278
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Design Of A Modern Cache—Part Deux

High Scalability

The previous article described the caching algorithms used by Caffeine , in particular the eviction and concurrency models. This allows for quickly discarding new arrivals that are unlikely to be used again, guarding the main region from cache pollution.

Cache 200
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How to Boost Redis With Local Caching in Java

DZone

You may also like: Java-Distributed Caching in Redis. Local caching is one of the most useful tactics for improving the performance of databases such as Redis. Redis developers who want to do local caching in Java will find that Redis doesn’t support this functionality out of the box.

Cache 174
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Top Redis Use Cases by Core Data Structure Types

High Scalability

Depending on how it is configured, Redis can act like a database, a cache or a message broker. It’s important to note that Redis is a NoSQL database system.

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Front-End: Cache Strategies You Should Know

DZone

Caches are very useful software components that all engineers must know. In this article, we are going to describe what is a cache and explain specific use cases focusing on the frontend and client side. In this article, we are going to describe what is a cache and explain specific use cases focusing on the frontend and client side.

Cache 147
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Distributed Algorithms in NoSQL Databases

Highly Scalable

These developments gradually highlight a system of relevant database building blocks with proven practical efficiency. In this article I’m trying to provide more or less systematic description of techniques related to distributed operations in NoSQL databases. Data Placement. System Coordination. Read/Write latency.

Database 213
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Kubernetes in the wild report 2023

Dynatrace

The strongest Kubernetes growth areas are security, databases, and CI/CD technologies. Strongest Kubernetes growth areas are security, databases, and CI/CD technologies. Of the organizations in the Kubernetes survey, 71% run databases and caches in Kubernetes, representing a +48% year-over-year increase.