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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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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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Current status, needs, and challenges in Heterogeneous and Composable Memory from the HCM workshop (HPCA’23)

ACM Sigarch

Introduction Memory systems are evolving into heterogeneous and composable architectures. However, building and utilizing HCM presents challenges, including interconnecting various memory technologies (e.g., Figure 2: Latency characteristics of memory technologies (source: Maruf et al., The recently announced CXL3.0

Latency 52
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Redis® Monitoring Strategies for 2024

Scalegrid

With its widespread use in modern application architectures, understanding the ins and outs of Redis® monitoring is essential for any tech professional. To monitor Redis® instances effectively, collect Redis metrics focusing on cache hit ratio, memory allocated, and latency threshold.

Strategy 130
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The Ultimate Guide to Database High Availability

Percona

Defining high availability In general terms, high availability refers to the continuous operation of a system with little to no interruption to end users in the event of hardware or software failures, power outages, or other disruptions. If a primary server fails, a backup server can take over and continue to serve requests.