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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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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

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The Surprising Effectiveness of Non-Overlapping, Sensitivity-Based Performance Models

John McCalpin

This was a keynote presentation at the “2nd International Workshop on Performance Modeling: Methods and Applications” (PMMA16), June 23, 2016, Frankfurt, Germany (in conjunction with ISC16 ). This includes all architectures, all compilers, all operating systems, and all system configurations.

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An open-source benchmark suite for microservices and their hardware-software implications for cloud & edge systems

The Morning Paper

An open-source benchmark suite for microservices and their hardware-software implications for cloud & edge systems Gan et al., A typical architecture diagram for one of these services looks like this: Suitably armed with a set of benchmark microservices applications, the investigation can begin! ASPLOS’19.

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What Is a Workload in Cloud Computing

Scalegrid

Simply put, itā€™s the set of computational tasks that cloud systems perform, such as hosting databases, enabling collaboration tools, or running compute-intensive algorithms. Such solutions also incorporate features like disaster recovery and built-in safeguards that ensure data integrity across diverse operating systems.

Cloud 130
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Supercomputing Predictions: Custom CPUs, CXL3.0, and Petalith Architectures

Adrian Cockcroft

on Myths and Legends of High Performance Computing ā€Šā€”ā€Šitā€™s a somewhat light-hearted look at some of the same issues by the leader of the team that built the Fugaku system I mention below. HPCG is led by Japanā€™s RIKEN Fugaku system at 16 petaflops, which is 3% of itā€™s peak capacity. petaflops, which is 0.8% of peak capacity.

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Aurora vs RDS: How to Choose the Right AWS Database Solution

Percona

These may be performance, high availability, operational cost, management, capacity planning, scalability, security, monitoring, etc. There are also cases where although the workload and operational needs seem to best fit to one solution, there are other limiting factors that may be blockers (or at least need special handling).

AWS 52