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What is cloud migration?

Dynatrace

We’ll answer that question and explore cloud migration benefits and best practices for how to go through your migration smoothly. In case of a spike in traffic, you can automatically spin up more resources, often in a matter of seconds. Likewise, you can scale down when your application experiences decreased traffic.

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

Percona

Reduced Resource Usage Optimizing resource-intensive queries and configurations can lead to a reduced burden on your server. An improperly configured server may not allocate sufficient resources or be optimized for the specific workload. To maximize indexing benefits, be sure to follow best practices.

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Real user monitoring vs. synthetic monitoring: Understanding best practices

Dynatrace

Data collected on page load events, for example, can include navigation start (when performance begins to be measured), request start (right before the user makes a request from the server), and speed index metrics (measure page load speed). RUM, however, has some limitations, including the following: RUM requires traffic to be useful.

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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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MongoDB Security: Top Security Concerns and Best Practices

Percona

Watch Now : Using Open Source Software to Secure Your MongoDB Database MongoDB Security Features and Best Practices Authentication in MongoDB Most breaches involving MongoDB occur because of a deadly combination of authentication disabled and MongoDB opened to the internet. Since version 3.6.8,

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

Percona

Learn more: View our webinar on How to Scale with MongoDB. 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.