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Incident Review: Meta-Review, August 2020

Honeycomb

But every once in a while, teams or systems hit an inflection point where enough things change at once and the pattern of incidents shifts. Our on-call engineer became aware of the issue when he was paged by an SLO burn alert. This is the portion of our query engine that runs queries against S3-based storage — typically older data.

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How engineering managers can effectively support engineers, teams, and organizations

CircleCI

The typical job description for many engineering manager roles is action-packed. It is a mix of hands-on coding, technical leadership and decision making, process and project management, product oversight, people management, finding and hiring talent … the list goes on. What do engineers need to thrive at work?

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Sustainable Software Talks and Latest News About Green Software

Apiumhub

In recent months, Apiumhub has hosted insightful sustainable software talks featuring two great speakers addressing the intersection of software engineering and environmental sustainability. Doesn’t make much sense to burn a forest and then use AI to track deforestation.“

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Use these metrics to get the most out of your engineering team

CircleCI

I’ve been leading software teams for more than 20 years and one thing I’ve learned about metrics is that leaders tend to put too much emphasis on engineering metrics alone, without considering the bigger picture. When it comes to throughput, his engineers optimize for the team rather than the individual. Morale metrics.

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What Makes a Tech Interview Great? Hear an Engineer’s Perspective

Hacker Earth Developers Blog

The truth is, engineers no more look forward to job positions that offer only a great salary. When we asked Piyush Tripathi, the Lead Engineer at Square about the elements he looks for in tech interviews, he shared: When interviewing with tech companies such as Amazon, Twilio and SendGrid, I focus on several key factors.

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Galileo emerges from stealth to streamline AI model development

TechCrunch

A separate Gartner report found that only 53% of projects make it from prototypes to production, presumably due in part to errors — a substantial loss, if one were to total up the spending. Galileo monitors the AI development processes, leveraging statistical algorithms to pinpoint potential points of system failure.

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Now In Tech: AI, Assessments, And The Great Over-Correction

Hacker Earth Developers Blog

What remains to be seen is if it’ll have a lasting impact on how we hire engineering talent, similar to the move to remote hiring post-pandemic. Companies across the board are reviewing their team structures, looking for removable cushioning, cutting down on middle management, and wanting to do more with less.