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MySQL Data Caching Efficiency

Percona

A shared characteristic in most (if not all) databases, be them traditional relational databases like Oracle, MySQL, and PostgreSQL or some kind of NoSQL-style database like MongoDB, is the use of a caching mechanism to keep (a copy of) part of the data in memory. So, how do you know if your hot data is in memory?

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Is ANALYZE TABLE Safe on a Busy MySQL Database Server?

Percona

MySQL Server – Community Edition The problem applies to all versions of the upstream MySQL Community up to 8.0.23. Here is an example scenario you may end up here: mysql > select @@version,@@version_comment; + --+ + | @@version | @@version_comment | + --+ + | 5.7.43 | MySQL Community Server (GPL) | + --+ + 1 row in set (0.00

Servers 99
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Redis vs Memcached in 2024

Scalegrid

In this comparison of Redis vs Memcached, we strip away the complexity, focusing on each in-memory data store’s performance, scalability, and unique features. Redis is better suited for complex data models, and Memcached is better suited for high-throughput, string-based caching scenarios.

Cache 130
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Top Redis Use Cases by Core Data Structure Types

Scalegrid

Redis , short for Remote Dictionary Server, is a BSD-licensed, open-source in-memory key-value data structure store written in C language by Salvatore Sanfillipo and was first released on May 10, 2009. Depending on how it is configured, Redis can act like a database, a cache or a message broker. Data Structures in Redis.

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Crucial Redis Monitoring Metrics You Must Watch

Scalegrid

Redis® is an in-memory database that provides blazingly fast performance. This makes it a compelling alternative to disk-based databases when performance is a concern. 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.

Metrics 130
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Five Data-Loading Patterns To Improve Frontend Performance

Smashing Magazine

Five Data-Loading Patterns To Improve Frontend Performance. Five Data-Loading Patterns To Improve Frontend Performance. Data loading patterns are an essential part of your application as they will determine which parts of your application are directly usable by visitors. But isn’t waiting for the data the point?

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Dynatrace accelerates business transformation with new AI observability solution

Dynatrace

This blog post explores how AI observability enables organizations to predict and control costs, performance, and data reliability. It also shows how data observability relates to business outcomes as organizations embrace generative AI. GenAI is prone to erratic behavior due to unforeseen data scenarios or underlying system issues.

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