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Crucial Redis Monitoring Metrics You Must Watch

Scalegrid

Key Takeaways Critical performance indicators such as latency, CPU usage, memory utilization, hit rate, and number of connected clients/slaves/evictions must be monitored to maintain Redis’s high throughput and low latency capabilities. It can achieve impressive performance, handling up to 50 million operations per second.

Metrics 130
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The Surprising Effectiveness of Non-Overlapping, Sensitivity-Based Performance Models

John McCalpin

All of the SPECfp_rate2000 results were downloaded from www.spec.org, the results were sorted by processor type, and “peak floating-point operations per cycle” was manually added for each processor type. This includes all architectures, all compilers, all operating systems, and all system configurations.

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Supercomputing Predictions: Custom CPUs, CXL3.0, and Petalith Architectures

Adrian Cockcroft

on Myths and Legends of High Performance Computing  — it’s a somewhat light-hearted look at some of the same issues by the leader of the team that built the Fugaku system I mention below. HPCG is led by Japan’s RIKEN Fugaku system at 16 petaflops, which is 3% of it’s peak capacity. petaflops, which is 0.8% of peak capacity.

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InnoDB Performance Optimization Basics

Percona

Nowadays, solid-state drives (SSDs) or non-volatile memory express (NVMe) drives are preferred over traditional hard disk drives (HDDs) for database servers due to their faster read and write speeds, lower latency, and improved reliability. Operating system Linux is the most common operating system for high-performance MySQL servers.

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What Is a Workload in Cloud Computing

Scalegrid

Such solutions also incorporate features like disaster recovery and built-in safeguards that ensure data integrity across diverse operating systems. Memory Allocation: Allocating sufficient memory linked directly to the assigned CPU ensures effective utilization resulting in better system speed.

Cloud 130
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SQL Server I/O Basics Chapter #1

SQL Server According to Bob

Many high-end disk subsystems provide high-speed cache facilities to reduce the latency of read and write operations. SQL Server always checks I/O completion status for any operating system error conditions and proper data transfer size and then handles errors appropriately.

Servers 40
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SQL Server I/O Basics Chapter #2

SQL Server According to Bob

Subsystem / Path The ​​ I/O subsystem or path ​​ includes ​​ those ​​ components ​​ that are ​​ used to support an I/O operation. ​​ Also, it ​​ is ​​ generally impractical on a production system.

Servers 40