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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. <code> 127.0.0.1:6379> <code> 127.0.0.1:6379>

Metrics 130
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How to Assess MySQL Performance

HammerDB

GHz 4th Generation Intel Xeon Scalable processors (code-named Sapphire Rapids) Up to 20% higher compute performance than z1d instances Up to 50 Gbps of networking speed Up to 40 Gbps of bandwidth to the Amazon Elastic Block Store (EBS) We can also verify these capabilities by running some simple benchmarks on the different subsystems.

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RUM vs APM

KeyCDN

A wide range of users with different operating systems, browsers, hardware configurations and other variables provides a wide sample size that helps developers discover as many issues as possible. Some APM solutions can monitor code during development to ensure performance. What is real user monitoring (RUM)?

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How Improving Website Performance Can Help Save The Planet

Smashing Magazine

how much data does the browser have to download to display your website) and resource usage of the hardware serving and receiving the website. For the more adventurous/technical, the top (table of processes) command provides similar metrics on most Unix-like operating systems such as macOS and Ubuntu.

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HammerDB for Managers

HammerDB

It enables the user to measure database performance and make comparative judgements about database hardware and software. HammerDB has graphical and command line interfaces for the Windows and Linux operating systems. Cached vs Scaled Workloads. Instead, most users prefer to implement a cached workload.

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SQL Server On Linux: Forced Unit Access (Fua) Internals

SQL Server According to Bob

Device level flushing may have an impact on your I/O caching, read ahead or other behaviors of the storage system. The “forced flush” changes in SQL Server avoid flushes, when possible, in order to improve performance on non-optimized Fua file systems. Patrick and Purvi doing performance and regression analytics. Device Flush.

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An open-source benchmark suite for microservices and their hardware-software implications for cloud & edge systems

The Morning Paper

An open-source benchmark suite for microservices and their hardware-software implications for cloud & edge systems Gan et al., In this paper we explore the implications microservices have across the cloud system stack. Hardware implications. Operating system and network implications. ASPLOS’19.