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Bandwidth or Latency: When to Optimise for Which

CSS Wizardry

When it comes to network performance, there are two main limiting factors that will slow you down: bandwidth and latency. Latency is defined as…. how long it takes for a bit of data to travel across the network from one node or endpoint to another. and reduction in latency. and reduction in latency.

Latency 133
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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. Redis returns a big list of database metrics when you run the info command on the Redis shell. This blog post lists the important database metrics to monitor.

Metrics 130
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Redis vs Memcached in 2024

Scalegrid

Introduction Caching serves a dual purpose in web development – speeding up client requests and reducing server load. Benchmarking Cache Speed Memcached is optimized for high read and write loads, making it highly efficient for rapid data access in a basic key-value store. Data transfer technology.

Cache 130
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Redis® Monitoring Strategies for 2024

Scalegrid

Identifying key Redis® metrics such as latency, CPU usage, and memory metrics is crucial for effective Redis monitoring. Redis® Monitoring Essentials Ensuring the performance, reliability, and safety of a Redis® database requires active monitoring. Monitoring tools should also be considered when setting up your Redis® database.

Strategy 130
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Mastering MongoDB® Timeout Settings

Scalegrid

How the MongoDB timeout is set up can significantly affect your application’s performance, no matter if you are an experienced MongoDB user or just starting with NoSQL databases. MongoDB drivers provide several options for Mongo clients to handle different network timeout errors that may occur during usage.

Java 130
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MongoDB Rollback: How to Minimize Data Loss

Scalegrid

Key Takeaways Rollbacks in MongoDB are triggered by disruptions in the replication process due to primary node crashes, network partitions, or other failures, which can lead to substantial data loss and inconsistencies. This failure in replication could happen due to crashes, network partitions, or other situations where failover occurs.

Database 130
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Compression Methods in MongoDB: Snappy vs. Zstd

Percona

Compression in any database is necessary as it has many advantages, like storage reduction, data transmission time, etc. In this blog, we will discuss both data and network-level compression offered in MongoDB. We will discuss snappy and zstd for data block and zstd compression in a network. I am using PSMDB 6.0.4

Storage 105