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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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Kubernetes in the wild report 2023

Dynatrace

The study analyzes factual Kubernetes production data from thousands of organizations worldwide that are using the Dynatrace Software Intelligence Platform to keep their Kubernetes clusters secure, healthy, and high performing. Kubernetes is emerging as the “operating system” of the cloud. Kubernetes moved to the cloud in 2022.

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Crucial Redis Monitoring Metrics You Must Watch

Scalegrid

Effective management of memory stores with policies like LRU/LFU proactive monitoring of the replication process and advanced metrics such as cache hit ratio and persistence indicators are crucial for ensuring data integrity and optimizing Redis’s performance. offers the Software Watchdog specifically designed for this purpose.

Metrics 130
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Redis® Monitoring Strategies for 2024

Scalegrid

This includes latency, which is a major determinant in evaluating the reliability and performance of your Redis® instance, CPU usage to assess how much time it spends on tasks, operations such as reading/writing data from disk or network I/O, and memory utilization (also known as memory metrics).

Strategy 130
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How to Assess MySQL Performance

HammerDB

Among the different components of modern software solutions, the database is one of the most critical. Therefore, before we attempt to measure our database performance, we should know the system or cloud instance to be tested in detail. This allows us to know our operating environment and its capability. Database: MySQL 8.0.31

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Local-first software: you own your data, in spite of the cloud

The Morning Paper

Local-first software: you own your data, in spite of the cloud Kleppmann et al., If you start reading this paper you could be lost for hours following all the interesting links and ideas, and end up even more dissatisfied than you already are with the state of software today. Local-first software ideals. It should be fast.

Cloud 83
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AppFabric Caching: Retry Later

ScaleOut Software

We have spent a great deal of time at ScaleOut Software re-architecting our in-memory data grid (IMDG)’s code base to make best use of many cores and large memory. For example, the IMDG must be able to efficiently create millions of objects in each server to make use of its huge storage capacity. Testing Scale-Up Performance.

Cache 40