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Storage Types Used on Cloud Computing Platforms

DZone

Because of the emergence of cloud services, a broad range of storage choices are now easily available to fulfill the different demands of both organizations and people. These storage alternatives have been designed to meet a range of requirements, including performance, scalability, durability, and price.

Storage 266
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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. Understanding distributed storage is imperative as data volumes and the need for robust storage solutions rise.

Storage 130
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Optimizing data warehouse storage

The Netflix TechBlog

At this scale, we can gain a significant amount of performance and cost benefits by optimizing the storage layout (records, objects, partitions) as the data lands into our warehouse. We built AutoOptimize to efficiently and transparently optimize the data and metadata storage layout while maximizing their cost and performance benefits.

Storage 203
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Unlocking the Secrets of TOAST: How To Optimize Large Column Storage in PostgreSQL for Top Performance and Scalability

Percona

This post will look at using The Oversized-Attribute Storage Technique (TOAST) to improve performance and scalability. Therefore, TOAST is a storage technique used in PostgreSQL to handle large data objects such as images, videos, and audio files.

Storage 87
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Redis vs Memcached in 2024

Scalegrid

In this comparison of Redis vs Memcached, we strip away the complexity, focusing on each in-memory data store’s performance, scalability, and unique features. can enhance Redis by handling management tasks, backups, and scalability, facilitating global reach and easy cloud integration for global businesses.

Cache 130
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The Ultimate Guide to Database High Availability

Percona

To make data count and to ensure cloud computing is unabated, companies and organizations must have highly available databases. This guide provides an overview of what high availability means, the components involved, how to measure high availability, and how to achieve it. How does high availability work?

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Dynatrace OpenPipeline: Stream processing data ingestion converges observability, security, and business data at massive scale for analytics and automation in context

Dynatrace

The exponential growth of data volume—including observability, security, software lifecycle, and business data—forces organizations to deal with cost increases while providing flexible, robust, and scalable ingest. OpenPipeline high-performance filtering and preprocessing provides full ingest and storage control for the Dynatrace platform.

Analytics 197