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9 key DevOps metrics for success

Dynatrace

As we look at today’s applications, microservices, and DevOps teams, we see leaders are tasked with supporting complex distributed applications using new technologies spread across systems in multiple locations. The emerging concepts of working with DevOps metrics and DevOps KPIs have really come a long way. Change failure rate.

DevOps 200
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Site reliability done right: 5 SRE best practices that deliver on business objectives

Dynatrace

As a result, site reliability has emerged as a critical success metric for many organizations. The following three metrics are commonly used to measure success: Service-level agreements (SLAs). These metrics are the factors and service levels that must be achieved for each activity, function, and process to deliver on the SLA.

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Lessons learned from enterprise service-level objective management

Dynatrace

This multinational information technology service and consulting company was asked to help a global automotive manufacturer with the management goal of measuring service flow performance. The metrics behind the four signals vary by row. The monitoring team set up the dashboard, so who owns violations?

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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. This allows us to analyze metrics (SLIs) for each individual endpoint URL.

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

Smashing Magazine

But the other thing is to be able to take operational concerns into account during your design development and implementation of any technology. Not everyone is Google. Stop reading posts from Netflix and Google. And one of the common sort of pitfalls of metrics is we look for errors instead of verifying success.

DevOps 83
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What Is Hyperautomation?

O'Reilly

As a trend, it’s not performing well on Google; it shows little long-term growth, if any, and gets nowhere near as many searches as terms like “Observability” and “Generative Adversarial Networks.” However, growth always ends: nothing grows exponentially forever, not even Facebook and Google. Should it be?

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