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Lessons learned from enterprise service-level objective management

Dynatrace

This greatly reduced the number of metrics to manage and provided a more comprehensive picture of what was behind their primary reliability service-level objective. These four dimensions apply to any layer in the technical stack, such as front-end, databases, and external services. The metrics behind the four signals vary by row.

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Tutorial: Guide to automated SRE-driven performance engineering

Dynatrace

While Google’s SRE Handbook mostly focuses on the production use case for SLIs/SLOs, Keptn is “Shifting-Left” this approach and using SLIs/SLOs to enforce Quality Gates as part of your progressive delivery process. Please note – there is no need to restart your database servers.

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Data Mining Problems in Retail

Highly Scalable

The basic idea of the framework is to use an economic metric such as gross margin as the optimization objective and consider it a function of possible retailer’s actions such as marketing campaigns or assortment adjustments. Moreover, gross margin is not the only performance metric that is important for retailers. The model (2.1)

Retail 152
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Smashing Podcast Episode 42 With Jeff Smith: What Is DevOps?

Smashing Magazine

Automated database failovers are a little scary because you don’t do them that often. And that sort of segues into the metrics portion of cams, right, is what are the things that we are tracking in our systems to know that they are operating efficiently? And that’s where the entire metrics portion of the conversation comes in.

DevOps 83
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What Is Hyperautomation?

O'Reilly

However, one thing should be obvious: to fill a prescription, you need to access many different kinds of data, in many different databases. As a result, your relationship to many important financial metrics changes. The second needs to feed back into the metrics and dashboards for monitoring the system’s behavior.

Games 116