Remove Engineering Management Remove Metrics Remove Software Engineering
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From Metric Overload to Focused Insights: A Software Engineering Manager's Journey

Allstacks

Over the course of time as an engineering leader, I've seen my fair share of trends come and go. But perhaps none has been as persistent – and at times, overwhelming – as the push for metrics. I remember a time when our dashboards were cluttered with every conceivable data point.

Metrics 52
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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.

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Forecasting 2023 Recruiting Trends With 6 Experts

Hacker Earth Developers Blog

Hough is a Web2 and Web3 software engineer, AWS Community Builder, host of the Tech Stack Playbook YouTube channel/podcast, a 5-time global hackathon winner, and a tech content creator with 10k+ followers. Rado: Engineering managers should be able to do “more-with-less” in the coming year.

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Top Green Software Speakers

Apiumhub

Consequently, we’ve curated a list of speakers we are eager to feature in our upcoming events and meetups, aiming to enhance awareness and catalyze a positive influence within the software development industry. Her fascination with the potential of engineers to address climate issues through green software practices began in 2021.

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Bringing an AI Product to Market

O'Reilly Media - Ideas

The first step in building an AI solution is identifying the problem you want to solve, which includes defining the metrics that will demonstrate whether you’ve succeeded. It sounds simplistic to state that AI product managers should develop and ship products that improve metrics the business cares about. Agreeing on metrics.

Marketing 145
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What Happens to DevOps when the Kubernetes Adrenaline Rush Ends?

Honeycomb

Platform engineers manage everything from autoscaling to network routing, and application engineers look after the product features and make sure that customers are getting the best experience possible. When we had a fixed amount of servers we dealt with, we’d add each of those servers as a dimension in our application metrics.

DevOps 109
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5 Takeaways from the 2022 Gartner® Data & Analytics Summit, Orlando, Florida

DataRobot

Everyone needs to work together to achieve value, from business intelligence experts, data scientists, and process modelers to machine learning engineers, software engineers, business analysts, and end users. You can also go beyond regular accuracy and data drift metrics. Transparency Is Key In MLOps.