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Crucial Redis Monitoring Metrics You Must Watch

Scalegrid

Effective management of memory stores with policies like LRU/LFU proactive monitoring of the replication process and advanced metrics such as cache hit ratio and persistence indicators are crucial for ensuring data integrity and optimizing Redis’s performance. <code> 127.0.0.1:6379> <code> 127.0.0.1:6379>

Metrics 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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How to Optimize Digital Experience and Operations with Dynatrace

Dynatrace

Reducing CPU Utilization to now only consume 15% of initially provisioned hardware. Missing Cache Settings – Make sure you cache resources that don’t change often on the browser or use a CDN. Missing caching layers, e.g. provide a read-only cache for static data. Well – there are many answers to this.

Cache 193
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An open-source benchmark suite for microservices and their hardware-software implications for cloud & edge systems

The Morning Paper

An open-source benchmark suite for microservices and their hardware-software implications for cloud & edge systems Gan et al., Microservices fundamentally change a lot of assumptions current cloud systems are designed with, and present both opportunities and challenges when optimizing for quality of service (QoS) and utilization.

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Time to First Byte: What It Is and Why It Matters

CSS Wizardry

Strap yourself in; here is a non-exhaustive list presented in no particular order: Latency: As above, we’re counting a trip out to and a return trip from the server. only to find that the resource they’re requesting isn’t in that PoP ’s cache. Rather, your TTFB represents any number of the items present above.

Latency 269
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Software Testing Errors to look out for (with examples)

Testsigma

These software errors are usually uncovered during functionality testing, mostly can be present as: Difficult/ confusing functionality: If the user is unable to understand or perform a function on the application, then it should change. Hardware error. We focus on software so much that we forget about the hardware failures.