article thumbnail

Bringing Software Engineering Rigor to Data

DZone

In software engineering, we've learned that building robust and stable applications has a direct correlation with overall organization performance. The data community is striving to incorporate the core concepts of engineering rigor found in software communities but still has further to go. Posted with permission.

article thumbnail

A Note to Business Leaders on Software Engineering

Strategic Tech

Software development is not an established discipline where there is a clear technique used to solve any given problem. In fact, there are near infinite ways to solve every software engineering challenging. The costs of entropy in software systems cannot be over-emphasised. This is natural, yet this is also a big problem.

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

How to Use Software Productivity Metrics The Right Way

DZone

Software engineering productivity or velocity metrics have always been a very debated topic. When managers lean on using lines of code to measure their engineers’ velocity, you can understand why these same engineers have a problem with that as overly simplistic.

Metrics 100
article thumbnail

Revolutionizing Observability: How AI-Driven Observability Unlocks a New Era of Efficiency

DZone

Observability is the ability to measure the state of a service or software system with the help of tools such as logs, metrics, and traces.

article thumbnail

Software engineering for machine learning: a case study

The Morning Paper

Software engineering for machine learning: a case study Amershi et al., More specifically, we’ll be looking at the results of an internal study with over 500 participants designed to figure out how product development and software engineering is changing at Microsoft with the rise of AI and ML. ICSE’19.

article thumbnail

How platform engineering and IDP observability can accelerate developer velocity

Dynatrace

During a breakout session at the Dynatrace Perform 2024 conference, Dynatrace DevSecOps activist Andreas Grabner and staff engineer Adam Gardner demonstrated how to use observability to monitor an IDP for key performance indicators (KPIs). Furthermore, OneAgent observes and gathers all remaining workload logs, metrics, traces, and events.

article thumbnail

Key Application Performance Metrics From the Viewpoint of a Statistician-Turned-Developer

DZone

Now that you’ve deployed your code, it’s time to monitor it, collect data, and analyze your metrics. You’ve just released your new app into the wild, live in production. Your job is done, right? Without application performance monitoring in place, you can’t accurately determine how well things are going. Are people using your app?

Metrics 246