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What is infrastructure as code? Discover the basics, benefits, and best practices

Dynatrace

The IT world is rife with jargon — and “as code” is no exception. “As code” means simplifying complex and time-consuming tasks by automating some, or all, of their processes. Today, the composable nature of code enables skilled IT teams to create and customize automated solutions capable of improving efficiency.

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Supercharge your end-to-end infrastructure and operations observability experience

Dynatrace

Dynatrace introduced numerous powerful features to its Infrastructure & Operations app, addressing the emerging requirement for enhanced end-to-end infrastructure observability. Let’s explore these exciting new features and see how they elevate infrastructure management. Overview of a cloud-hosted frontend web application.

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Leveraging Infrastructure as Code for Data Engineering Projects: A Comprehensive Guide

DZone

Data engineering projects often require the setup and management of complex infrastructures that support data processing, storage, and analysis. IaC enables treating infrastructure setups as version-controlled code, allowing for automated provisioning, deployment, and configuration management.

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Path to NoOps part 2: How infrastructure as code makes cloud automation attainable—and repeatable—at scale

Dynatrace

Infrastructure as code is a way to automate infrastructure provisioning and management. In this blog, I explore how Dynatrace has made cloud automation attainable—and repeatable—at scale by embracing the principles of infrastructure as code. Infrastructure-as-code. But how does it work in practice?

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How low-code/no-code AutomationEngine advances automated workflows

Dynatrace

But to be scalable, they also need low-code/no-code solutions that don’t require a lot of spin-up or engineering expertise. And operations teams need to forecast cloud infrastructure and compute resource requirements, then automatically provision resources to optimize digital customer experiences.

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Enhancing Testing Efficiency: Transitioning From Traditional Code Coverage to Code Change Coverage

DZone

In software development, maintaining high code quality and reliability is crucial for building robust applications. A key metric for gauging testing effectiveness is code coverage, which measures the percentage of code executed during automated tests. While traditional code coverage offers valuable insights, it has limitations.

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Provision Cloud Infrastructure Using Google Duet AI

DZone

It uses advanced AI to make coding easier. You can talk to it like you talk to a friend, and it helps you write code, fix problems, and learn coding tricks. Duet AI makes coding feel like a chat, making complex tasks simple and enjoyable. Duet AI by Google is an amazing tool for app developers.

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