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Mastering Hybrid Cloud Strategy

Scalegrid

Mastering Hybrid Cloud Strategy Are you looking to leverage the best private and public cloud worlds to propel your business forward? A hybrid cloud strategy could be your answer. This article will explore hybrid cloud benefits and steps to craft a plan that aligns with your unique business challenges.

Strategy 130
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Why growing AI adoption requires an AI observability strategy

Dynatrace

An AI observability strategy—which monitors IT system performance and costs—may help organizations achieve that balance. They can do so by establishing a solid FinOps strategy. But as a recent Forbes Tech Council article notes, using increasingly more AI and running more data computations comes with costs. Use containerization.

Strategy 230
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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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The Three Cs: Concatenate, Compress, Cache

CSS Wizardry

I began writing this article in early July 2023 but began to feel a little underwhelmed by it and so left it unfinished. Given that 66% of all websites (and 77% of all requests ) are running HTTP/2, I will not discuss concatenation strategies for HTTP/1.1 in this article. If you are still running HTTP/1.1, It gets worse.

Cache 291
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Front-End: Cache Strategies You Should Know

DZone

In this article, we are going to describe what is a cache and explain specific use cases focusing on the frontend and client side. Performance is the other reason to use a cache system such as in-memory databases to provide a high-performance solution with low latency, high throughput, and concurrency. What Is a Cache?

Cache 141
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Low Overhead Continuous Contextual Production Profiling

DZone

In order to gain insight into these problems, we gather a range of metrics and logs to monitor the utilization of system resources such as CPU, memory, and application-specific latencies. This article explores the concept of low overhead high-frequency profilers, which offer a solution to these challenges.

Latency 246
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Using Pausers in Event Loops

DZone

Typically in low-latency development, a trade-off must be made between minimizing latency and avoiding excessive CPU utilization. Description of the Problem. In a typical application stack, multiple threads are used for servicing events, processing data, pipelining, and so on.

Latency 130