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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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MySQL Key Performance Indicators (KPI) With PMM

Percona

As a MySQL database administrator, keeping a close eye on the performance of your MySQL server is crucial to ensure optimal database operations. However, simply deploying a monitoring tool is not enough; you need to know which Key Performance Indicators (KPIs) to monitor to gain insights into your MySQL server’s health and performance.

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The AWS Storage Gateway - All Things Distributed

All Things Distributed

Expanding the Cloud - The AWS Storage Gateway. Today Amazon Web Services has launched the AWS Storage Gateway, making the power of secure and reliable cloud storage accessible from customersâ?? With the launch of the AWS Storage Gateway our customers can now integrate their on-premises IT environment with AWSâ??s

Storage 115
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Crucial Redis Monitoring Metrics You Must Watch

Scalegrid

You will need to know which monitoring metrics for Redis to watch and a tool to monitor these critical server metrics to ensure its health. Connected_slaves provides information about replication status while Used_memory tracks utilized amount of server’s total capacity. You can pick a smart selection of relevant metrics from these.

Metrics 130
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MySQL Performance Tuning 101: Key Tips to Improve MySQL Database Performance

Percona

This results in expedited query execution, reduced resource utilization, and more efficient exploitation of the available hardware resources. Reduced Resource Usage Optimizing resource-intensive queries and configurations can lead to a reduced burden on your server. Indexing is another powerful technique for query optimization.

Tuning 52
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Reducing Embodied Carbon is Important

ACM Sigarch

Embodied carbon is due to Scope 3, e.g., manufacturing IT hardware and datacenter construction. For example, operational carbon emissions are highly time varying and even differ widely across regions. Hence, significant additional investments into capacity and energy storage would be needed to match a fab’s daily load.

Energy 98
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Why MySQL Could Be Slow With Large Tables

Percona

Example (using the employee sample DB ): Suppose we have the following schema: db1 employees> show create table employeesG 1. Example: Creating four simple tables to store strings but using different data types: db1 test> CREATE TABLE tb1 (id int auto_increment primary key, test_text char(200)); Query OK, 0 rows affected (0.11