Remove Continuous Delivery Remove Metrics Remove Software Engineering
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Article: Why Team-Level Metrics Matter in Software Engineering

InfoQ Culture Methods

In a world where everything can have perspective, context and data, it doesn’t make sense to limit that to just part of your software development process. The DORA metrics can provide insight into the health of your development environment, where value is being delivered and opportunities for improvement. By Ian Phillipchuk.

Metrics 117
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LinearB to Provide Free DORA Metrics Dashboard

DevOps.com

LinearB's free dashboard allows users to visualize DORA metrics from within the company’s software delivery management platform.

Metrics 124
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The Top 13 Sessions From 2018 Ops and Dev Conferences

OverOps

At Serverless Computing London keynote, Charity explained what we mean when we say observability, what it means to have an observable system, how it connects to old methods of monitoring or debugging, and why the modern serverless software engineer should give a flying crap. Metrics, logging, monitoring, and reliability.

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Podcast Takeaways: Cloud Developer Experience, Staging Environments, and Continuous Delivery

Daniel Bryant

Here are our top four takeaways from the conversations: The cloud developer experience can be “complicated” A cloud platform must be managed as a product The old “staging environment” model needs updating Don’t underestimate the value of continuous delivery The remainder of this article explores each of these takeaways in more detail.

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LLMs Demand Observability-Driven Development

Honeycomb

Our industry is in the early days of an explosion in software using LLMs, as well as (separately, but relatedly) a revolution in how engineers write and run code, thanks to generative AI. In other words, improving software that uses LLMs can only be done by observability and experimentation. 100% debuggable?

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Practical Skills for The AI Product Manager

O'Reilly Media - Ideas

Innovation/Ideation/Design for UI/X: In traditional software engineering projects, product managers are key stakeholders in the activities that influence product and feature innovation. As a result, designing, implementing, and managing AI experiments (and the associated software engineering tools) is at times an AI product in itself.

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Grown-Up Lean

LeanEssays

He describes “some surprising theories about software engineering”: I discuss these theories in terms of two fundamentally different development styles, the "cathedral" model of most of the commercial world versus the "bazaar" model of the Linux world. If you give software engineers manual work, their first instinct is to automate it.