Remove DevOps Remove Metrics Remove Performance Remove Software Engineering
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Track the right metrics to improve your developers’ work experience

TechCrunch

Alex Circei Contributor Share on Twitter Alex Circei is the CEO and co-founder of Waydev , a development analytics tool that measures engineering teams' performance. Engineering leaders can do this by more effectively monitoring engineer satisfaction and performance to spot factors that are harming your engineering team’s experience.

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5 Tangible Metrics for the Speed of Software Engineering Teams

Dzone - DevOps

Firstly, since we want to discuss the topic of metrics, what does it mean for a software engineering team to perform well anyway? For the purpose of this post let us take the following metrics for a given software engineering team as the fundamental one: Speed of development (try to maximize).

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Can developer productivity be measured? Better than you think

CIO

The high performers also saw 60% higher shareholder returns and 20% higher operating margins. In retail, for example, software has been the fastest-growing job category ; about half of the world’s software engineers work outside the tech industry. The results were striking. million in the United States.

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10 Engineering Metrics Software Engineering Teams Must Follow

CloudZero

In software engineering, measuring your performance gives you the knowledge you need to make informed decisions regarding your products, features, processes, and even your dev teams. Measuring also tells you if you’re on track to meet your engineering goals.

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Scaling DevOps: key strategies and best practices

Agile Engine

Introduction Over the past decade, DevOps has had a transformative impact on how companies manage their software engineering efforts. Yet, eight out of 10 companies practicing DevOps are barely in the middle of this transformation. Source: Puppet Getting the basics right: what is DevOps?

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Bringing Software Engineering Rigor to Data

Dzone - DevOps

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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Sleuth wants to use AI to measure software developer productivity

TechCrunch

As knowledge workers including software engineers shifted to remote work during the pandemic, executives expressed a concern that productivity would suffer as a result. The evidence is mixed on this, but in the software industry particularly, remote work exacerbated many of the challenges that employees already faced.