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TechCrunch+ roundup: 3 key hiring metrics, building SDR teams, insurtech investor survey

TechCrunch

The expense involved in recruiting, training and onboarding a new employee who turns out to be a poor fit could be equivalent to 50% of that person’s first-year salary. “Pipeline generation at early-stage companies is expensive and time consuming, often more so than the sales process itself.

Metrics 242
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How Developer Observability is Transforming Dev Role

Hacker Earth Developers Blog

Alongside streamlined processes and collaborative efficiency, DevOps teams need real-time access to detailed, correlative, context-rich data and analytics. By understanding how observability in DevOps transforms development capabilities, you can maximize the effectiveness of your teams and your data. Let’s get into it.

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Simple sabotage for software

Erik Bernhardsson

You can of course make a series of obviously bad decisions, but you'd get fired quickly. Make sure production environment differs from developer environments in as many ways as possible. Pick vanity metrics with little or no correlation with business value and high amount of noise. Deploy as infrequently as possible.

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7 tell-tale signs of fake agile

CIO

The same is not true, sadly, for many agile project management and development initiatives. Leaders must be committed to the enablement of agile teams.”. Agility is about shipping as well as development. Team leadership void. Walker suggests spending time with team members to view and understand how they operate.

Agile 289
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LLMs Demand Observability-Driven Development

Honeycomb

Some of these things are related to cost/benefit tradeoffs, but most are about weak telemetry, instrumentation, and tooling. If you have only instrumented your software with metrics, for example, you have no way of verifying that a spike in api_requests and an identical spike in 503 errors are for the same events (i.e.,

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Weights & Biases raises $135M Series C to keep building MLOps software

TechCrunch

According to Weights & Biases co-founder Lukas Biewald , the software world has a set of tools built for developers to write and deploy code well. And today, he explained, many ML teams are working with ad-hoc tooling or simply without software assistance. This could include a git-style service ( GitLab , GitHub , etc.),

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Five Metrics to Track the Performance of Your Quality Assurance Teams and the efficiency of your Quality Assurance strategy

Trigent

A product goes through different stages of a release cycle, from development and testing to deployment, use, and constant evolution. According to a PWC research report published in 2020, 1 in 3 customers is willing to leave a brand after one bad experience. Developing a sound Quality Assurance (QA) strategy.