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Cache and Prizes

Alex Russell

Browsers will cache tools popular among vocal, leading-edge developers. There's plenty of space for caching most popular frameworks. The best available proxy data also suggests that shared caches would have a minimal positive effect on performance. Browsers now understand the classic shared HTTP cache behaviour as a privacy bug.

Cache 82
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Crucial Redis Monitoring Metrics You Must Watch

Scalegrid

Effective management of memory stores with policies like LRU/LFU proactive monitoring of the replication process and advanced metrics such as cache hit ratio and persistence indicators are crucial for ensuring data integrity and optimizing Redis’s performance. offers the Software Watchdog specifically designed for this purpose.

Metrics 130
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How to Assess MySQL Performance

HammerDB

Among the different components of modern software solutions, the database is one of the most critical. As database performance is heavily influenced by the performance of storage, network, memory, and processors, we must understand the upper limit of these key components. For the experiments in this blog, we did not tune the system.

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A Quick Peek at MySQL 8.0.34 and MySQL 8.1.0

Percona

MySQL previously released software quarterly as part of a continuous delivery system where new features were made available. is an evolution of the MySQL server and related software. This could be handy for tracking query tuning and performance auditing. This is a Quick Peek at what Oracle delivered with MySQL 8.0.34

Servers 82
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MongoDB Best Practices: Security, Data Modeling, & Schema Design

Percona

The main objective of this post is to share my experience over the past years tuning MongoDB and centralize the diverse sources that I crossed in this journey in a unique place. systemctl stop tuned $ systemctl disable tuned Dirty ratio The dirty_ratio is the percentage of total system memory that can hold dirty pages.

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Evaluating the Evaluation: A Benchmarking Checklist

Brendan Gregg

A co-worker introduced me to Craig Hanson and Pat Crain's performance mantras, which neatly summarize much of what we do in performance analysis and tuning. I've refuted many benchmarks by showing that they would require a network throughput that would far exceed the maximum network bandwidth (off by, for example, as much as 10x!).

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Evaluating the Evaluation: A Benchmarking Checklist

Brendan Gregg

A co-worker introduced me to Craig Hanson and Pat Crain's performance mantras, which neatly summarize much of what we do in performance analysis and tuning. I've refuted many benchmarks by showing that they would require a network throughput that would far exceed the maximum network bandwidth (off by, for example, as much as 10x!).