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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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Why you should benchmark your database using stored procedures

HammerDB

HammerDB uses stored procedures to achieve maximum throughput when benchmarking your database. HammerDB has always used stored procedures as a design decision because the original benchmark was implemented as close as possible to the example workload in the TPC-C specification that uses stored procedures. On MySQL, we saw a 1.5X

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Grafana Dashboards: A PoC Implementing the PostgreSQL Extension pg_stat_monitor

Percona

This allows for much better data accuracy, especially in the case of high-resolution or unreliable networks. This simplifies debugging and analysis processes by enabling users to execute the same query. A script executing a benchmarking run: #!/bin/bash This allows a user to drill down into the performance of queries.

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How to use Server Timing to get backend transparency from your CDN

Speed Curve

Looking at the industry benchmarks for US retailers , four well-known sites have backend times that are approaching – or well beyond – that threshold. Pagespeed Benchmarks - US Retail - LCP When you examine a waterfall, it's pretty obvious that TTFB is the long pole in the tent, pushing out render times for the page.

Servers 57
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Redis vs Memcached in 2024

Scalegrid

Redis can be configured to optimally utilize both RDB and AOF persistence methods optimally, achieving a balance between speed and data safety while minimizing the impact on response times due to its child process handling for disk writes. Scalable reads across multiple instances are possible. step in to simplify this task.

Cache 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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New Network Fallacies

Tim Kadlec

” The fallacy of networks, or new devices for that matter, fixing our performance woes is old and repetitive. To be fair, each new generation of network connectivity does bring some level of change and transformation to how we interact with the internet. The fastest 4G network clocks in around 10 Mbps, and the slowest around 6.3

Network 61