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Sustainability: Thoughts from a software engineer

Dynatrace

Collect metrics on energy consumption or derive them from existing signals. The post Sustainability: Thoughts from a software engineer appeared first on Dynatrace news.

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Bringing Software Engineering Rigor to Data

DZone

In software engineering, we've learned that building robust and stable applications has a direct correlation with overall organization performance. The data community is striving to incorporate the core concepts of engineering rigor found in software communities but still has further to go. Posted with permission.

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Key Application Performance Metrics From the Viewpoint of a Statistician-Turned-Developer

DZone

Now that you’ve deployed your code, it’s time to monitor it, collect data, and analyze your metrics. You’ve just released your new app into the wild, live in production. Your job is done, right? Without application performance monitoring in place, you can’t accurately determine how well things are going. Are people using your app?

Metrics 246
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Auto-adaptive thresholds for AI-driven quality gating

Dynatrace

Build an umbrella for Development and Operations In modern software engineering, the discipline of platform engineering delivers DevSecOps practices to developers to bridge the gaps between development, security, and operations and enhance the developer experience. However, other data formats, like logs, can also be employed.

Metrics 297
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How Red Hat and Dynatrace intelligently automate your production environment

Dynatrace

Problem remediation is too time-consuming According to the DevOps Automation Pulse Survey 2023 , on average, a software engineer takes nine hours to remediate a problem within a production application. With that, Software engineers, SREs, and DevOps can define a broad automation and remediation mapping.

DevOps 306
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Software engineering for machine learning: a case study

The Morning Paper

Software engineering for machine learning: a case study Amershi et al., More specifically, we’ll be looking at the results of an internal study with over 500 participants designed to figure out how product development and software engineering is changing at Microsoft with the rise of AI and ML. ICSE’19.

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How to Use Software Productivity Metrics The Right Way

DZone

Software engineering productivity or velocity metrics have always been a very debated topic. When managers lean on using lines of code to measure their engineers’ velocity, you can understand why these same engineers have a problem with that as overly simplistic.

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