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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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What is hyperconverged infrastructure? Realizing the benefits of HCI

Dynatrace

Therefore, they need an environment that offers scalable computing, storage, and networking. Hyperconverged infrastructure (HCI) is an IT architecture that combines servers, storage, and networking functions into a unified, software-centric platform to streamline resource management. What is hyperconverged infrastructure?

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Log Analysis: How to Digest 15 Billion Logs Per Day and Keep Big Queries Within 1 Second

DZone

From an architectural perspective, the system should be able to undertake real-time analysis of various formats of logs, and of course, be scalable to support the huge and ever-enlarging data size.

Analytics 124
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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 198
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The history of Grail: Why you need a data lakehouse

Dynatrace

The aforementioned principles have, of course, a major impact on the overall architecture. This architecture offers rich data management and analytics features (taken from the data warehouse model) on top of low-cost cloud storage systems (which are used by data lakes). Grail is built for such analytics, not storage.

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Stuff The Internet Says On Scalability For July 20th, 2018

High Scalability

During our testing using the storage optimized EC2 instances (I3.2xlarge) we noticed that we were able to perform over 200K IOPS of 1K byte items thus meeting our throughput goals with latency rarely exceeding 1 millisecond. Cliff Click : The JVM is very good at eliminating the cost of code abstraction, but not the cost of data abstraction.

Internet 121
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InnoDB Performance Optimization Basics

Percona

These guidelines work well for a wide range of applications, though the optimal settings, of course, depend on the workload. Storage The type of storage and disk used for database servers can have a significant impact on performance and reliability. have been released since then with some major changes. and MariaDB 10.5.4