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MySQL Backups: Methods & Best Practices

Scalegrid

Maintaining the security and integrity of MySQL backups is paramount, involving encryption, consistent monitoring, adherence to best practices, and consideration of legal and regulatory requirements for data retention and scaling strategies. Therefore, it’s not the ideal choice if there are time or storage limitations.

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MySQL Backup and Recovery Best Practices: The Ultimate Guide

Percona

on, you can use mysqlbinlog to stream binary logs from a remote server. MySQL Backup and Recovery Best Practices In this section, we’ll explore essential MySQL backup and recovery best practices to safeguard your data and ensure smooth database operations. From MySQL 5.6 How do you know the backup succeeded?

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MongoDB Database Backup: Best Practices & Expert Tips

Percona

That’s why it’s essential to implement the best practices and strategies for MongoDB database backups. The speed of backup also depends on allocated IOPS and type of storage since lots of read/writes would be happening during this process. Why are MongoDB database backups important? mongorestore --host=mongodb1.example.net

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MongoDB Best Practices: Security, Data Modeling, & Schema Design

Percona

In this blog post, we will discuss the best practices on the MongoDB ecosystem applied at the Operating System (OS) and MongoDB levels. We’ll also go over some best practices for MongoDB security as well as MongoDB data modeling. A setting of 100 determines it to swap aggressively to disk.

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What is cloud monitoring? How to improve your full-stack visibility

Dynatrace

Cloud monitoring is a set of solutions and practices used to observe, measure, analyze, and manage the health of cloud-based IT infrastructure. Continuous cloud monitoring with automation provides clear visibility into the performance and availability of websites, files, applications, servers, and network resources.

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A Tutorial on MongoDB Sharding With Best Practices & When To Enable It

Percona

Sharding in MongoDB is a technique used to distribute a database horizontally across multiple nodes or servers, known as “shards.” Sharding enables horizontal scaling, where more servers or nodes are added to the cluster to handle increasing data and user demands. Learn more: View our webinar on How to Scale with MongoDB.

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Why growing AI adoption requires an AI observability strategy

Dynatrace

AI requires more compute and storage. Training AI data is resource-intensive and costly, again, because of increased computational and storage requirements. As a result, AI observability supports cloud FinOps efforts by identifying how AI adoption spikes costs because of increased usage of storage and compute resources.

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