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Redis vs Memcached in 2024

Scalegrid

Key Takeaways Redis offers complex data structures and additional features for versatile data handling, while Memcached excels in simplicity with a fast, multi-threaded architecture for basic caching needs. Redis is better suited for complex data models, and Memcached is better suited for high-throughput, string-based caching scenarios.

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Crucial Redis Monitoring Metrics You Must Watch

Scalegrid

Redis® is an in-memory database that provides blazingly fast performance. This makes it a compelling alternative to disk-based databases when performance is a concern. You will need to know which monitoring metrics for Redis to watch and a tool to monitor these critical server metrics to ensure its health.

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The Ultimate Guide to Database High Availability

Percona

To make data count and to ensure cloud computing is unabated, companies and organizations must have highly available databases. A basic high availability database system provides failover (preferably automatic) from a primary database node to redundant nodes within a cluster. HA is sometimes confused with “fault tolerance.”

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PostgreSQL Connection Pooling: Part 2 – PgBouncer

Scalegrid

It’s a very simple utility that does exactly one thing – it sits between the database and the clients and speaks the PostgreSQL protocol, emulating a PostgreSQL server. When PgBouncer receives a client connection, it first performs authentication on behalf of the PostgreSQL server. How Does PgBouncer Work?

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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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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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Five Data-Loading Patterns To Improve Frontend Performance

Smashing Magazine

Every unnecessary bit of JavaScript code you bundle and serve will be more code the client has to load and process. The resource loading waterfall is a cascade of files downloaded from the network server to the client to load your website from start to finish. How will you serve blazingly fast code, then? More after jump!

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