Remove Benchmarking Remove Cache Remove Network
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Top Database Performance Issues and Solutions

Scalegrid

Insufficient buffer cache size might precipitate regular flushing and re-reading of data from the disk, which intensifies these I/O bottlenecks. Caching support By employing sophisticated caching techniques, ScaleGrid substantially boosts the speed of data retrieval, leading to a considerable enhancement in database performance.

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Improving PHP Performance for Web Applications

KeyCDN

Before you start designing a PHP application, run benchmarks on your hardware and software to determine your performance parameters. Cash in on caching techniques Memcache is particularly useful for reducing your database load while bytecode caching engines like OPcache are great for saving execution time when scripts get compiled.

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How Synthetic Monitoring Can Warm Up Your CDN (and Why It Matters)

Dotcom-Montior

For organizations operating at global scale, Content Delivery Networks (CDNs) have become indispensable infrastructure for delivering fast, reliable user experiences. However, even the most sophisticated CDN deployments face a fundamental challenge that can undermine their effectiveness: cold cache states.

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Measure What You Impact, Not What You Influence

CSS Wizardry

I can reload the exact same page under the exact same network conditions over and over, and I can guarantee I will not get the exact same, say, DOMContentLoaded each time. What if another file on the critical path had dropped out of cache and needed fetching from the network? In browserland, this is known Queuing.

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Why Tcl is 700% faster than Python for database benchmarking

HammerDB

Python is a popular programming language, especially for beginners, and consequently we see it occurring in places where it just shouldn’t be used, such as database benchmarking. We use stored procedures because, as the introductory post shows, using single SQL statements turns our database benchmark into a network test).

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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. Cache Hit Ratio The cache hit ratio represents the efficiency of cache usage.

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Redis vs Memcached in 2024

Scalegrid

Key Takeaways Redis offers complex data structures and additional features for versatile data handling, while Memcached excels in simplicity with a fast, multi-threaded architecture for basic caching needs. Redis is better suited for complex data models, and Memcached is better suited for high-throughput, string-based caching scenarios.