Remove articles code-complexity-in-practice
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Automating DevOps practices fuels speed and quality

Dynatrace

Takeaways from this article on DevOps practices: DevOps practices bring developers and operations teams together and enable more agile IT. Still, while DevOps practices enable developer agility and speed as well as better code quality, they can also introduce complexity and data silos. Dynatrace news.

DevOps 274
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RSA Guide 2023: Cloud application security remains core challenge for organizations

Dynatrace

As organizations migrate applications to the cloud, they must balance the agility that microservices architecture brings with the complexity and lack of transparency that can also come with it. Cloud application security remains challenging because organizations lack end-to-end visibility into cloud architecture.

Cloud 195
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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. In this article, we will explore the benefits of leveraging IaC for data engineering projects and provide detailed implementation steps to get started.

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Mastering Kubernetes deployments with Keptn: a comprehensive guide to enhanced visibility

Dynatrace

In this article, we’ll explore these challenges in detail and introduce Keptn, an open source project that addresses these issues, enhancing Kubernetes observability for smoother and more efficient deployments. Unfortunately, Kubernetes deployments can be fraught with challenges beyond the surface level.

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The top eight DevSecOps trends in 2022

Dynatrace

In order for software development teams to balance speed with quality during the software development cycle (SDLC), development, security, and operations teams (or DevSecOps teams) need to ensure that their practices align with modern cloud environments. Increased adoption of Infrastructure as code (IaC).

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Black Hat 2023: Pairing causal AI and generative AI for cybersecurity threats

Dynatrace

Developers use generative AI to find errors in code and automatically document their code. They can also use generative AI for cybersecurity, write prototype code, and implement complex software systems. This year’s big-bang moment has been the surge in generative AI, such as ChatGPT. What is vulnerability management?

DevOps 193
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How Readable Is Your Code? Part 1

DZone

Any problem can be solved in my différent ways following know practices like SOLID, KISS, etc. How practically evaluate notions like code maintainability, readability, transparency? Well, I'm not sure that there is absolute truth in such questions, but in this article, you will find a metric that can help you find out.

Code 176