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What programming languages does HammerDB use and why does it matter?

HammerDB

HammerDB is a load testing and benchmarking application for relational databases. On high-performance multi-core systems all the supported databases can return performance in the many millions of transactions per minute. This is why the choice of programming language is so important from the outset. Basic Benchmarking Concepts.

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Crucial Redis Monitoring Metrics You Must Watch

Scalegrid

Key metrics like throughput, request latency, and memory utilization are essential for assessing Redis health, with tools like the MONITOR command and Redis-benchmark for latency and throughput analysis and MEMORY USAGE/STATS commands for evaluating memory. All these contribute significantly towards ensuring smooth functioning.

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Five-nines availability: Always-on infrastructure delivers system availability during the holidays’ peak loads

Dynatrace

How can IT teams deliver system availability under peak loads that will satisfy customers? Five-nines availability: The ultimate benchmark of system availability. Site reliability engineering teams often measure system availability in percentages in the pursuit of 100% uptime. But is five nines availability attainable?

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What Is a Workload in Cloud Computing

Scalegrid

In the realm of cloud-based business operations, there is an increasing dependence on complex information processing patterns. Such solutions also incorporate features like disaster recovery and built-in safeguards that ensure data integrity across diverse operating systems. This also aids scalability down the line.

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HammerDB for Managers

HammerDB

HammerDB is a software application for database benchmarking. HammerDB has graphical and command line interfaces for the Windows and Linux operating systems. Databases are highly sophisticated software, and to design and run a fair benchmark workload is a complex undertaking. Why HammerDB was developed.

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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. switches to connect processing nodes, pooled memory and I/O resources into very large coherent fabrics within a rack, and use Ethernet between racks.