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The Three Cs: Concatenate, Compress, Cache

CSS Wizardry

What is the availability, configurability, and efficacy of each? ?️ Caching them at the other end: How long should we cache files on a user’s device? In our specific examples above, the one-big-file pattern incurred 201ms of latency, whereas the many-files approach accumulated 4,362ms by comparison. main.af8a22.css

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Redis vs Memcached in 2024

Scalegrid

In this comparison of Redis vs Memcached, we strip away the complexity, focusing on each in-memory data store’s performance, scalability, and unique features. 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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Migrating Critical Traffic At Scale with No Downtime?—?Part 1

The Netflix TechBlog

It provides a good read on the availability and latency ranges under different production conditions. Adding forking logic and complexity to the device code can create dependencies on device application release cycles that generally run at a slower cadence than service release cycles, leading to bottlenecks in the migration.

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Use Distributed Caching to Accelerate Online Web Sites

ScaleOut Software

The Solution: Distributed Caching. A widely used technology called distributed caching meets this need by storing frequently accessed data in memory on a server farm instead of within a database. It’s not enough simply to lash together a set of servers hosting a collection of in-memory caches.

Cache 52
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Use Distributed Caching to Accelerate Online Web Sites

ScaleOut Software

The Solution: Distributed Caching. A widely used technology called distributed caching meets this need by storing frequently accessed data in memory on a server farm instead of within a database. It’s not enough simply to lash together a set of servers hosting a collection of in-memory caches.

Cache 52
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Azure Well-Architected Framework: What it is and how to tame it with AI and automation

Dynatrace

In comparison, the Dynatrace platform reliably takes that burden off human operators by utilizing its causation-based AI engine, Davis. Using high-fidelity metrics, logs, code-level tracing, and a dynamic topology map of your applications, Davis can identify the precise root cause and prioritize its business impact. Reliability.

Azure 184
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Navigate your way to better performance with prerendering and the bfcache

Speed Curve

Tim's approach was to filter out the noise introduced by really fast response times that can be caused by leveraging the browser cache, prerendering, and other performance optimization techniques. Page was restored from back-forward cache* – The bfcache essentially stores the full page in memory when navigating away from the page.