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Sustainability: Thoughts from a software engineer

Dynatrace

Scale to zero Scaling systems to match current demand prevents underutilized machines from consuming significant energy while idling. While building production systems that can scale to zero and reliably restart can be challenging, it’s often simpler in test stages and build pipelines, making this a great place to start.

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The Next Major Shift in Enterprise Software Engineering: From Platforms to “Platformless”

DZone

The evolution of enterprise software engineering has been marked by a series of "less" shifts — from client-server to web and mobile ("client-less"), data center to cloud ("data-center-less"), and app server to serverless.

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Low-Maintenance Backend Architectures for Scalable Applications

DZone

After years of working in the intricate world of software engineering, I learned that the most beautiful solutions are often those unseen: backends that hum along, scaling with grace and requiring very little attention. Developers could understand and manage the entire systems intricacies.

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Mastering System Design: A Comprehensive Guide to System Scaling for Millions (Part 1)

DZone

A transformative journey into the realm of system design with our tutorial, tailored for software engineers aspiring to architect solutions that seamlessly scale to serve millions of users.

Systems 189
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Escaping POC Purgatory: Evaluation-Driven Development for AI Systems

O'Reilly

The system is inconsistent, slow, hallucinatingand that amazing demo starts collecting digital dust. Most teams approach this like traditional software development but quickly discover it’s a fundamentally different beast. Traditional versus GenAI software: Excitement builds steadilyor crashes after the demo. The way out?

Systems 69
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5 powerful use cases beyond debugging for Dynatrace Live Debugger

Dynatrace

You can verify any system settings that might impact your tests and see them in action. Performance benchmarking Performance benchmarking is one of the unresolved mysteries of software engineering. Maybe you want to monitor performance under different system loads. In many ways, it’s more of an art than a science.

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Beyond “Prompt and Pray”

O'Reilly

TL;DR: Enterprise AI teams are discovering that purely agentic approaches (dynamically chaining LLM calls) dont deliver the reliability needed for production systems. The prompt-and-pray modelwhere business logic lives entirely in promptscreates systems that are unreliable, inefficient, and impossible to maintain at scale.