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Crucial Redis Monitoring Metrics You Must Watch

Scalegrid

Key Takeaways Critical performance indicators such as latency, CPU usage, memory utilization, hit rate, and number of connected clients/slaves/evictions must be monitored to maintain Redis’s high throughput and low latency capabilities. Similarly, an increased throughput signifies an intensive workload on a server and a larger latency.

Metrics 130
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Compression Methods in MongoDB: Snappy vs. Zstd

Percona

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. When this data block is read, it decompresses it in memory and presents it to the incoming request. I am using PSMDB 6.0.4

Storage 111
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Towards a Reliable Device Management Platform

The Netflix TechBlog

When a new hardware device is connected, the Local Registry detects and collects a set of information about it, such as networking information and ESN. As such, we can see that the traffic load on the Device Management Platform’s control plane is very dynamic over time.

Latency 213
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Optimizing CDN Architecture: Enhancing Performance and User Experience

IO River

‍A content delivery network (CDN) is a distributed network of servers strategically located across multiple geographical locations to deliver web content to end users more efficiently. A lower RTT indicates a faster network response time and happier end users. What is a CDN?‍A ‍What is CDN Architecture?

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Optimizing CDN Architecture: Enhancing Performance and User Experience

IO River

A content delivery network (CDN) is a distributed network of servers strategically located across multiple geographical locations to deliver web content to end users more efficiently. A lower RTT indicates a faster network response time and happier end users. What is a CDN?‍A What is CDN Architecture?‍CDN

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What is a Distributed Storage System

Scalegrid

Durability Availability Fault tolerance These combined outcomes help minimize latency experienced by clients spread across different geographical regions. By breaking up large datasets into more manageable pieces, each segment can be assigned to various network nodes for storage and management purposes.

Storage 130
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New Network Fallacies

Tim Kadlec

I remember how, later on, a common question I would get in after giving performance-focused presentations was: “Is any of this going to matter when 4G is available?” ” The fallacy of networks, or new devices for that matter, fixing our performance woes is old and repetitive. This is nothing new.

Network 61