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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.

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MySQL Key Performance Indicators (KPI) With PMM

Percona

Query performance Query performance is a key performance indicator (KPI) in MySQL, as it measures the efficiency and speed of query execution. Replication lag can occur due to various factors such as network latency, system resource limitations, complex transactions, or heavy write loads on the primary/master database.

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

Percona

This reduction in latency ensures that applications and websites provide a more rapid and responsive user experience. Enhanced User Experience Whether you operate an e-commerce platform, a content management system, or any other application reliant on MySQL, users will notice and appreciate the improved speed and responsiveness.

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Five Data-Loading Patterns To Improve Frontend Performance

Smashing Magazine

On your first try, you can use it as a benchmark for optimizations later. Caching partially stores your data and is not used as permanent storage. Using the cache as permanent storage is an anti-pattern. Data-loading patterns are one way you can optimize your applications’ speed. Caching Schemes. Large preview ).

Cache 125
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Redis vs Memcached in 2024

Scalegrid

Introduction Caching serves a dual purpose in web development – speeding up client requests and reducing server load. This article will explore how they handle data storage and scalability, perform in different scenarios, and, most importantly, how these factors influence your choice.

Cache 130
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InnoDB Performance Optimization Basics

Percona

Storage The type of storage and disk used for database servers can have a significant impact on performance and reliability. Benchmark before you decide. Cloud Different cloud providers offer a range of instance types and sizes, each with varying amounts of CPU, memory, and storage. Transparent huge pages (THP) disabled.

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Edgar: Solving Mysteries Faster with Observability

The Netflix TechBlog

This difference has substantial technological implications, from the classification of what’s interesting to transport to cost-effective storage (keep an eye out for later Netflix Tech Blog posts addressing these topics). As you can imagine, this comes with very real storage costs. Is this an anomaly or are we dealing with a pattern?

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