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Crucial Redis Monitoring Metrics You Must Watch

Scalegrid

RedisĀ® 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 might already use ScaleGrid hosting for Redis hosting to power your performance-sensitive applications.

Metrics 130
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How to Assess MySQL Performance

HammerDB

Predicting application performance is a difficult art, but an important one when choosing the target deployment environment. In this blog, we aim to call out some key considerations when trying to assess MySQL performance for your application. This allows us to know our operating environment and its capability.

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PostgreSQL Performance Tuning: Optimizing Database Parameters for Maximum Efficiency

Percona

In this blog post, we will delve into the world of PostgreSQL performance tuning and establish some basic guidelines for setting database parameters to enhance the performance of your PostgreSQL database, based on the workload. What is PostgreSQL performance tuning? Why is PostgreSQL performance tuning important?

Tuning 52
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Compress objects, not cache lines: an object-based compressed memory hierarchy

The Morning Paper

Todayā€™s paper introduces Zippads , which compared to a state of the art compressed memory hierarchy is able to achieve a 1.63x higher compression ratio and improve performance by 17%. Consider a B-Tree node from the B-tree Java benchmark: Uncompressed, itā€™s memory layout looks like (a) below. ” The big idea. Implications.

Cache 61
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What Adrian Did Next?ā€”?Part 2?ā€”?Sun Microsystems

Adrian Cockcroft

I became the Sun UK local specialist in performance and hardware, and as Sun transitioned from a desktop workstation company to sell high end multiprocessor servers I was helping customers find and fix scalability problems. We had specializations in hardware, operating systems, databases, graphics, etc.

Tuning 52
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CheriABI: enforcing valid pointer provenance and minimizing pointer privilege in the POSIX C run-time environment

The Morning Paper

Last week we saw the benefits of rethinking memory and pointer models at the hardware level when it came to object storage and compression ( Zippads ). The protections are hardware implemented and cannot be forged in software. That ā€˜reasonableā€™ performance cost is a 6.8% faster for system calls). ASPLOS’19.

C++ 61
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InnoDB Performance Optimization Basics

Percona

This blog is in reference to our previous ones for ‘Innodb Performance Optimizations Basics’ 2007 and 2013. Although there have been many blogs about adjusting MySQL variables for better performance since then, I think this topic deserves a blog update since the last update was a decade ago, and MySQL 5.7