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Crucial Redis Monitoring Metrics You Must Watch

Scalegrid

Key Takeaways Critical performance indicators such as latency, CPU usage, memory utilization, hit rate, and number of connected clients/slaves/evictions must be monitored to maintain Redis’s high throughput and low latency capabilities. It can achieve impressive performance, handling up to 50 million operations per second.

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

Adrian Cockcroft

on Myths and Legends of High Performance Computing  — it’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 Japan’s RIKEN Fugaku system at 16 petaflops, which is 3% of it’s peak capacity. petaflops, which is 0.8% of peak capacity.

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What Is a Workload in Cloud Computing

Scalegrid

Such solutions also incorporate features like disaster recovery and built-in safeguards that ensure data integrity across diverse operating systems. Additionally, the platform continuously monitors data through benchmarking functionalities providing valuable insights through its data analytics tools.

Cloud 130
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SQL Server I/O Basics Chapter #2

SQL Server According to Bob

Subsystem / Path The ​​ I/O subsystem or path ​​ includes ​​ those ​​ components ​​ that are ​​ used to support an I/O operation. ​​ SQL Server ​​ copy-on-write actions are used to maintain snapshot databases in SQL Server 2005.

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SQL Server I/O Basics Chapter #1

SQL Server According to Bob

Many high-end disk subsystems provide high-speed cache facilities to reduce the latency of read and write operations. SQL Server always checks I/O completion status for any operating system error conditions and proper data transfer size and then handles errors appropriately. The data transfer size is not valid.

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