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The Three Cs: Concatenate, Compress, Cache

CSS Wizardry

Concatenating our files on the server: Are we going to send many smaller files, or are we going to send one monolithic file? Caching them at the other end: How long should we cache files on a user’s device? Caching them at the other end: How long should we cache files on a user’s device? Cache This is the easy one.

Cache 291
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Cache-Control for Civilians

CSS Wizardry

To this end, having a solid caching strategy can make all the difference for your visitors. ?? How is your knowledge of caching and Cache-Control headers? Cache-Control. One of the most common and effective ways to manage the caching of your assets is via the Cache-Control HTTP header.

Cache 264
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Redis® Monitoring Strategies for 2024

Scalegrid

To monitor Redis® instances effectively, collect Redis metrics focusing on cache hit ratio, memory allocated, and latency threshold. Selecting the right tool plays an important role in managing your strategy correctly while ensuring optimal performance across all clusters or singularly monitored redistributions.

Strategy 130
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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.

Cache 130
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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

You will need to know which monitoring metrics for Redis to watch and a tool to monitor these critical server metrics to ensure its health. Effective monitoring of key performance indicators plays a crucial role in maintaining this optimal speed of operation. You can pick a smart selection of relevant metrics from these.

Metrics 130
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Radically speed up your code by fixing slow or frequent garbage collection

Dynatrace

Any significant reduction in allocations will inevitably speed up your code. Nearly all garbage collection strategies are well suited for such a scenario; they do their job well and are fast. By reducing the number of allocated objects, you can both speed up your code and reduce object churn and garbage collection events.

Speed 164