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The Three Cs: Concatenate, Compress, Cache

CSS Wizardry

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. Cache This is the easy one. And do any of our previous decisions dictate our options? ?

Cache 291
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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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Comparisons of Proxies for MySQL

Percona

When deciding what to pick, there are many things to consider, like where the proxy needs to be, if it “just” needs to redirect the connections, or if more features need to be in, like caching and filtering, or if it needs to be integrated with some MySQL embedded automation. Given that, there never was a single straight answer.

Games 118
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Geek Reading - Week of June 5, 2013

DZone

A handy list of RSS readers with feature comparisons ( Hacker News). Using MongoDB as a cache store ( Architects Zone – Architectural Design Patterns & Best Practices). SAP to acquire Hybris to jumpstart its presence in e-commerce ( VentureBeat). A Study on Solving Callbacks with JavaScript Generators ( Hacker News). Hacker News).

Java 244
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Dynatrace accelerates business transformation with new AI observability solution

Dynatrace

The RAG process begins by summarizing and converting user prompts into queries that are sent to a search platform that uses semantic similarities to find relevant data in vector databases, semantic caches, or other online data sources. To observe model drift and accuracy, companies can use holdout evaluation sets for comparison to model data.

Cache 204
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Migrating Critical Traffic At Scale with No Downtime?—?Part 1

The Netflix TechBlog

Comparison After normalizing, we diff the responses on the two sides and check whether we have matching or mismatching responses. The batch job creates a high-level summary that captures some key comparison metrics. It helps expose memory leaks, deadlocks, caching issues, and other system issues.

Traffic 339
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Kubernetes in the wild report 2023

Dynatrace

In comparison, on-premises clusters have more and larger nodes: on average, 9 nodes with 32 to 64 GB of memory. Of the organizations in the Kubernetes survey, 71% run databases and caches in Kubernetes, representing a +48% year-over-year increase. Kubernetes infrastructure models differ between cloud and on-premises.