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Service level objective examples: 5 SLO examples for faster, more reliable apps

Dynatrace

Certain service-level objective examples can help organizations get started on measuring and delivering metrics that matter. Teams can build on these SLO examples to improve application performance and reliability. In this post, I’ll lay out five SLO examples that every DevOps and SRE team should consider. or 99.99% of the time.

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The Three Cs: Concatenate, Compress, Cache

CSS Wizardry

Compressing them over the network: Which compression algorithm, if any, will we use? 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 4,362ms of cumulative latency; 240ms of cumulative download. in this article. That’s almost 22× more!

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Service level objectives: 5 SLOs to get started

Dynatrace

But how do you get started, and what are some service level objective examples? In this post, I’ll lay out five foundational service level objective examples that every DevOps and SRE team should consider. E-commerce websites are a great way to explain how IT teams can apply SLOs to any use case or application.

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Site reliability done right: 5 SRE best practices that deliver on business objectives

Dynatrace

With so many of their transactions occurring online, customers are becoming more demanding, expecting websites and applications to always perform perfectly. Website load times have been found to have a direct correlation with conversion rates. Visibility and automation are two of the most important SRE tools.

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Self-Host Your Static Assets

CSS Wizardry

One of the quickest wins—and one of the first things I recommend my clients do—to make websites faster can at first seem counter-intuitive: you should self-host all of your static assets, forgoing others’ CDNs/infrastructure. Penalty: Network Negotiation. I’m going to use an example taken straight from Bootstrap’s own Getting Started.

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Redis® Monitoring Strategies for 2024

Scalegrid

Identifying key Redis® metrics such as latency, CPU usage, and memory metrics is crucial for effective Redis monitoring. To monitor Redis® instances effectively, collect Redis metrics focusing on cache hit ratio, memory allocated, and latency threshold. Providing them with clear insights into their system’s performance overall.

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

CSS Wizardry

This is understandable—forgivable, almost—when you consider that TTFB begins to move into back-end territory, but if I was to sum up the problem as succinctly as possible, I’d say: While a good TTFB doesn’t necessarily mean you will have a fast website, a bad TTFB almost certainly guarantees a slow one. But what else is TTFB?

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