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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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Geek Reading - Week of June 5, 2013

DZone

Making Google’s CalDAV and CardDAV APIs available for everyone ( Google Developers Blog). A handy list of RSS readers with feature comparisons ( Hacker News). Pandora launches new HTML5 site for TVs and gaming consoles, available now on PS3 and Xbox 360 ( The Next Web). History of Lisp ( Hacker News). Hacker News).

Java 244
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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. Given the scale of the data being generated using replay traffic, we record the responses from the two sides to a cost-effective cold storage facility using technology like Apache Iceberg.

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. That trend will likely continue as Kubernetes security awareness further rises and a new class of security solutions becomes available. Kubernetes infrastructure models differ between cloud and on-premises.

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Use Distributed Caching to Accelerate Online Web Sites

ScaleOut Software

The Solution: Distributed Caching. The solution to this challenge is to use scalable, memory-based data storage for fast-changing data so that web sites can keep up with exploding workloads. 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. The solution to this challenge is to use scalable, memory-based data storage for fast-changing data so that web sites can keep up with exploding workloads. 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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The Most Important MySQL Setting

Percona

MySQL comes pre-configured to be conservative instead of making the most of the resources available in the server. But since retrieving data from disk is slow, databases tend to work with a caching mechanism to keep as much hot data, the bits and pieces that are most often accessed, in memory. Why is that?

Tuning 134