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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.

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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.

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Kubernetes in the wild report 2023

Dynatrace

The strongest Kubernetes growth areas are security, databases, and CI/CD technologies. In comparison, on-premises clusters have more and larger nodes: on average, 9 nodes with 32 to 64 GB of memory. Strongest Kubernetes growth areas are security, databases, and CI/CD technologies. Java, Go, and Node.js

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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.

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PostgreSQL Connection Pooling: Part 3 – Pgpool-II

Scalegrid

Once authentication succeeds, it checks if it already has a cached connection for this database+user combination. Once the client disconnects, Pgpool-II has to decide whether to cache the connection: If it has an empty slot, it caches it. If it does, it returns the connection to the client. Stay tuned!

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Towards multiverse databases

The Morning Paper

Towards multiverse databases Marzoev et al., The central idea behind multiverse databases is to push the data access and privacy rules into the database itself. With multiverse databases, each user sees a consistent “parallel universe” database containing only the data that user is allowed to see.

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Use Distributed Caching to Accelerate Online Web Sites

ScaleOut Software

Maintaining rapidly changing data in back-end databases creates bottlenecks that impact responsiveness. In addition, repeatedly accessing back-end databases to serve up popular items, such as product descriptions and news stories, also adds to the bottleneck. The Solution: Distributed Caching.

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