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Plan Your Multi Cloud Strategy

Scalegrid

A well-planned multi cloud strategy can seriously upgrade your business’s tech game, making you more agile. Key Takeaways Multi-cloud strategies have become increasingly popular due to the need for flexibility, innovation, and the avoidance of vendor lock-in. They can also bolster uptime and limit latency issues or potential downtimes.

Strategy 130
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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. It can achieve impressive performance, handling up to 50 million operations per second.

Metrics 130
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Redis vs Memcached in 2024

Scalegrid

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. Redis’s support for pipelining in a Redis server can significantly reduce network latency by batching command executions, making it beneficial for write-heavy applications.

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What Is a Workload in Cloud Computing

Scalegrid

This is sometimes referred to as using an “over-cloud” model that involves a centrally managed resource pool that spans all parts of a connected global network with internal connections between regional borders, such as two instances in IAD-ORD for NYC-JS webpage DNS routing. This also aids scalability down the line.

Cloud 130
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Building Netflix’s Distributed Tracing Infrastructure

The Netflix TechBlog

Reconstructing a streaming session was a tedious and time consuming process that involved tracing all interactions (requests) between the Netflix app, our Content Delivery Network (CDN), and backend microservices. Using simple lookup indices in Cassandra gives us the ability to maintain acceptable read latencies while doing heavy writes.

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Real user monitoring vs. synthetic monitoring: Understanding best practices

Dynatrace

In some cases, you will lack benchmarking capabilities. connectivity, access, user count, latency) of geographic regions. Synthetic monitoring is well suited for catching regressions during development lifecycles, especially with network throttling. RUM generates a lot of data. Performance testing based on variable metrics (i.e.,

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Fixing a slow site iteratively

CSS - Tricks

Google’s industry benchmarks from 2018 also provide a striking breakdown of how each second of loading affects bounce rates. In that spirit, what we’re looking at in this article is focused more on the incremental wins and less on providing an exhaustive list or checklist of performance strategies. Again, every millisecond counts.

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