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

Percona

While there is no magic bullet for MySQL performance tuning, there are a few areas that can be focused on upfront that can dramatically improve the performance of your MySQL installation. What are the Benefits of MySQL Performance Tuning? A finely tuned database processes queries more efficiently, leading to swifter results.

Tuning 52
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PostgreSQL Performance Tuning: Optimizing Database Parameters for Maximum Efficiency

Percona

Out of the box, the default PostgreSQL configuration is not tuned for any particular workload. It is primarily the responsibility of the database administrator or developer to tune PostgreSQL according to their system’s workload. What is PostgreSQL performance tuning?

Tuning 52
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MongoDB Best Practices: Security, Data Modeling, & Schema Design

Percona

The main objective of this post is to share my experience over the past years tuning MongoDB and centralize the diverse sources that I crossed in this journey in a unique place. systemctl stop tuned $ systemctl disable tuned Dirty ratio The dirty_ratio is the percentage of total system memory that can hold dirty pages.

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Crucial Redis Monitoring Metrics You Must Watch

Scalegrid

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. Understanding Redis Performance Indicators Redis is designed to handle high traffic and low latency with its in-memory data store and efficient data structures. <code> 127.0.0.1:6379>

Metrics 130
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Save Money in AWS RDS: Don’t Trust the Defaults

Percona

I’ll show you some MySQL settings to tune to get better performance, and cost savings, with AWS RDS. After some time of receiving these messages, eventually, they hit performance issues to the point that the server becomes unresponsive for a few minutes. This was exactly what was happening on this server.

AWS 117
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10 tips for migrating from monolith to microservices

Dynatrace

Because monolithic applications combine database, client-side interfaces, and server-side application elements in a single executable, they’re difficult to understand, even for their own administrators. Use domain-driven design when creating new microservices by separating microservices via their underlying business functions.

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Infinitely scalable machine learning with Amazon SageMaker

All Things Distributed

So, when designing Amazon SageMaker we took on a challenge: to build machine learning algorithms that can handle an infinite amount of data. This post lifts the veil on some of the scientific, system design, and engineering decisions we made along the way. Post-training model tuning and rich states. Streaming algorithms.