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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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Sustainable IT: Optimize your hybrid-cloud carbon footprint

Dynatrace

A structured approach Reducing carbon emissions involves a combination of technology, practice, and planning. Evaluating these on three levels—data center, host, and application architecture (plus code)—is helpful. Application architectures might not be conducive to rehosting. Unfortunately, it’s not that simple.

Cloud 198
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Kubernetes in the wild report 2023

Dynatrace

While Kubernetes is still a relatively young technology, a large majority of global enterprises use it to run business-critical applications in production. Findings provide insights into Kubernetes practitioners’ infrastructure preferences and how they use advanced Kubernetes platform technologies. Java, Go, and Node.js

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What is a Distributed Storage System

Scalegrid

This guide delves into how these systems work, the challenges they solve, and their essential role in businesses and technology. Distributed Storage Architecture Distributed storage systems are designed with a core framework that includes the main system controller, a data repository for the system, and a database.

Storage 130
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Dynatrace supports SnapStart for Lambda as an AWS launch partner

Dynatrace

Most enterprises use serverless functions as part of a broader hybrid environment, covering both cloud and traditional technologies. Lambda then takes a snapshot of the memory and disk state of the initialized execution environment, persists the encrypted snapshot, and caches it for low-latency access. Built for enterprise scalability.

Lambda 214
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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