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Crucial Redis Monitoring Metrics You Must Watch

Scalegrid

Key metrics like throughput, request latency, and memory utilization are essential for assessing Redis health, with tools like the MONITOR command and Redis-benchmark for latency and throughput analysis and MEMORY USAGE/STATS commands for evaluating memory. Cache Hit Ratio The cache hit ratio represents the efficiency of cache usage.

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Compress objects, not cache lines: an object-based compressed memory hierarchy

The Morning Paper

Compress objects, not cache lines: an object-based compressed memory hierarchy Tsai & Sanchez, ASPLOS’19. So while you probably won’t be using Zippads in practice anytime soon, it’s a wonderful example of what’s possible when you’re prepared to take a fresh look at “the way we’ve always done things.”

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How to Assess MySQL Performance

HammerDB

For example, if you are buying the latest Amazon memory-optimized EC2 instance (R7iz), the AWS page ( [link] ) tells us the following: Up to 3.9 For example, if you are buying the latest Amazon memory-optimized EC2 instance (R7iz), the AWS page ( [link] ) tells us the following: Up to 3.9 Operating System: Ubuntu 22.04

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HammerDB for Managers

HammerDB

HammerDB is a software application for database benchmarking. HammerDB has graphical and command line interfaces for the Windows and Linux operating systems. Databases are highly sophisticated software, and to design and run a fair benchmark workload is a complex undertaking. Why HammerDB was developed. The NOPM Metric.

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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. Operating system Linux is the most common operating system for high-performance MySQL servers. Benchmark before you decide. Transparent huge pages (THP) disabled.

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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., A typical architecture diagram for one of these services looks like this: Suitably armed with a set of benchmark microservices applications, the investigation can begin! ASPLOS’19.

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AppFabric Caching: Retry Later

ScaleOut Software

For example, the IMDG must be able to efficiently create millions of objects in each server to make use of its huge storage capacity. Given all this, we thought it would be a good opportunity to see how we are doing relative to the competition, and in particular, relative to Microsoft’s AppFabric caching for Windows on-premise servers.

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