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Front-End: Cache Strategies You Should Know

DZone

Caches are very useful software components that all engineers must know. It is a transversal component that applies to all the tech areas and architecture layers such as operating systems, data platforms, backend, frontend, and other components. What Is a Cache?

Cache 144
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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. Cache Hit Ratio The cache hit ratio represents the efficiency of cache usage.

Metrics 130
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Best practices and key metrics for improving mobile app performance

Dynatrace

In-app purchases can help to measure the overall effectiveness of your business strategy. User demographics , such as app version, operating system, location, and device type, can help tailor an app to better meet users’ needs and preferences. Load time and network latency metrics. Optimize images and videos.

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Predictive CPU isolation of containers at Netflix

The Netflix TechBlog

Because microprocessors are so fast, computer architecture design has evolved towards adding various levels of caching between compute units and the main memory, in order to hide the latency of bringing the bits to the brains. This avoids thrashing caches too much for B and evens out the pressure on the L3 caches of the machine.

Cache 258
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Redis® Monitoring Strategies for 2024

Scalegrid

This includes latency, which is a major determinant in evaluating the reliability and performance of your Redis® instance, CPU usage to assess how much time it spends on tasks, operations such as reading/writing data from disk or network I/O, and memory utilization (also known as memory metrics).

Strategy 130
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PostgreSQL Performance Tuning: Optimizing Database Parameters for Maximum Efficiency

Percona

Connection pooling: Minimizing connection overhead and improving response times for frequently accessed data by implementing mechanisms for connection pooling and caching strategies. The PostgreSQL buffer is called shared_buffer, which is the most effective tunable parameter for most operating systems.

Tuning 52
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RUM vs APM

KeyCDN

Developers use APM as part of a broader strategy to ensure certain goals are met while RUM is a more narrow tool to support that strategy. A wide range of users with different operating systems, browsers, hardware configurations and other variables provides a wide sample size that helps developers discover as many issues as possible.