Remove Benchmarking Remove Best Practices Remove Hardware Remove Speed
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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. A reduced throughput could generally indicate that the server gets fewer queries.

Metrics 130
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Performance Testing - Tools, Steps, and Best Practices

KeyCDN

Before you begin tuning your website or application, you must first figure out which metrics matter most to your users and establish some achievable benchmarks. When the word “performance” is heard, most people immediately think of speed. What is Performance Testing?

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

Percona

This results in expedited query execution, reduced resource utilization, and more efficient exploitation of the available hardware resources. This not only enhances performance but also enables you to make more efficient use of your hardware resources, potentially resulting in cost savings on infrastructure.

Tuning 52
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MySQL Key Performance Indicators (KPI) With PMM

Percona

Query performance Query performance is a key performance indicator (KPI) in MySQL, as it measures the efficiency and speed of query execution. As a best practice, It is advisable to have different mounts for MySQL data and log files with specific system configurations.

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PostgreSQL Performance Tuning: Optimizing Database Parameters for Maximum Efficiency

Percona

PostgreSQL performance optimization aims to improve the efficiency of a PostgreSQL database system by adjusting configurations and implementing best practices to identify and resolve bottlenecks, improve query speed, and maximize database throughput and responsiveness. Why is PostgreSQL performance tuning important?

Tuning 52
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The Speed of Time

Brendan Gregg

As a Xen guest, this profile was gathered using perf(1) and the kernel's software cpu-clock soft interrupts, not the hardware NMI. Measuring the speed of time Is there already a microbenchmark for os::javaTimeMillis()? Theory (A) is most likely based on the frame widths in the flame graph. But I'm not completely sure.

Speed 126
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The Speed of Time

Brendan Gregg

As a Xen guest, this profile was gathered using perf(1) and the kernel's software cpu-clock soft interrupts, not the hardware NMI. Measuring the speed of time Is there already a microbenchmark for os::javaTimeMillis()? Theory (A) is most likely based on the frame widths in the flame graph. But I'm not completely sure.

Speed 52