Remove Engineering Management Remove Metrics Remove Performance
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The Ultimate Guide to High-Potential Identification in Tech Hiring

Hacker Earth Developers Blog

For instance, a skilled developer might not just debug code but also optimize it to improve system performance. Insights and analytics HackerEarths detailed reporting and analytics provide a clear view of candidate performance, helping you identify top talent based on data rather than gut feelings.

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Use Git data to optimize your developers’ annual reviews

TechCrunch

Alex Circei is CEO and co-founder of Waydev , a Git analytics tool that measures engineers' performance automatically. The end of the year is looming and with it one of your most important tasks as a manager. Another example is that of an engineer who is dipping their toe into multiple projects. Share on Twitter.

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Sleuth wants to use AI to measure software developer productivity

TechCrunch

. “However, measuring efficiency has historically been very challenging for a multitude of reasons, namely tooling complexity, lack of access to data and use of dubious proxy metrics that bred micromanagement and distrust.” ” Sleuth isn’t the only platform that uses DORA metrics to quantify productivity.

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What Are DORA Metrics? (And Why Is Everyone Talking About Them?)

Dzone - DevOps

In order to improve DevOps practices, teams need to be able to measure them and are turning to DORA metrics as the gold standard. DORA metrics have become the golden standard for teams aspiring to optimize their performance and achieve the DevOps ideals of speed and stability.

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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. Morale metrics. Business metrics. Velocity metrics. Change lead time. Sprint velocity.

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Supercharge your auto scaling for generative AI inference – Introducing Container Caching in SageMaker Inference

AWS Machine Learning - AI

For generative AI models requiring multiple instances to handle high-throughput inference requests, this added significant overhead to the total scaling time, potentially impacting application performance during traffic spikes. We ran 5+ scaling simulations and observed consistent performance with low variations across trials.

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Guide To Creating Candidate Personas For Tech Teams

Hacker Earth Developers Blog

Improve recruitment metrics: Data says that recruiters spend a minimum of 13 hours per week sourcing for a single role. Over time, you will also see a marked improvement in other recruitment metrics like Time To Hire, Quality of Hire, Offer Acceptance Rate, and so on. Read More: How Engineering Managers Can Help Recruiters Hire Better.