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Front-End: Cache Strategies You Should Know

DZone

Caches are very useful software components that all engineers must know. It is a transversal component that applies to all the tech areas and architecture layers such as operating systems, data platforms, backend, frontend, and other components. What Is a Cache?

Cache 147
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How Caches Become Databases – And Why You Don’t Want This

VoltDB

In the world of databases, data management, and data platforms, this entropy usually takes the form of a simple database or data platform that might be ideal for early use cases evolving (or rather, de volving) into an expensive and unmanageable nightmare due to operational strain from use-case gluttony. How hard can it be?

Cache 52
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What is a Distributed Storage System

Scalegrid

A distributed storage system is foundational in today’s data-driven landscape, ensuring data spread over multiple servers is reliable, accessible, and manageable. This guide delves into how these systems work, the challenges they solve, and their essential role in businesses and technology.

Storage 130
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Introducing Netflix’s Key-Value Data Abstraction Layer

The Netflix TechBlog

Central to this infrastructure is our use of multiple online distributed databases such as Apache Cassandra , a NoSQL database known for its high availability and scalability. Over time as new key-value databases were introduced and service owners launched new use cases, we encountered numerous challenges with datastore misuse.

Latency 248
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Kubernetes in the wild report 2023

Dynatrace

As Kubernetes adoption increases and it continues to advance technologically, Kubernetes has emerged as the “operating system” of the cloud. Kubernetes is emerging as the “operating system” of the cloud. The strongest Kubernetes growth areas are security, databases, and CI/CD technologies. Kubernetes moved to the cloud in 2022.

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Using anti-requirements to find system boundaries

Particular Software

Is this the best way to build a system, though? For example, you might need the data to be denormalized for performance, or the warehouse data might exist on a physically different system that can’t participate in a database join. From a technical perspective, attributes that change together should also be cached similarly.

Systems 98
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Dynatrace accelerates business transformation with new AI observability solution

Dynatrace

GenAI is prone to erratic behavior due to unforeseen data scenarios or underlying system issues. 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.

Cache 214