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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

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. 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. Cache Hit Ratio The cache hit ratio represents the efficiency of cache usage.

Metrics 130
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Best practices and key metrics for improving mobile app performance

Dynatrace

This includes how quickly the application loads, how much load it is putting on the device, how much storage is being used, and how frequently it crashes. User demographics , such as app version, operating system, location, and device type, can help tailor an app to better meet users’ needs and preferences.

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Redis® Monitoring Strategies for 2024

Scalegrid

With these essential support systems in place, you can effectively monitor your databases with up-to-date data about their health and functioning status at all times. To monitor Redis® instances effectively, collect Redis metrics focusing on cache hit ratio, memory allocated, and latency threshold.

Strategy 130
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PostgreSQL Indexes Can Hurt You: Negative Effects and the Costs Involved

Percona

The urge to create more and more indexes is found to be causing severe damage in many systems. Many times, removing indexes is what we should be doing first before considering any new indexes for the benefit of the entire system. This post is about PostgreSQL, but most of the problems also apply to other database systems.

Tuning 124
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InnoDB Performance Optimization Basics

Percona

By caching hot datasets, indexes, and ongoing changes, InnoDB can provide faster response times and utilize disk IO in a much more optimal way. Storage The type of storage and disk used for database servers can have a significant impact on performance and reliability. Setting oom_score_adj to -800.