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Ready for changes with Hexagonal Architecture

The Netflix TechBlog

Leveraging Hexagonal Architecture We needed to support the ability to swap data sources without impacting business logic , so we knew we needed to keep them decoupled. We decided to build our app based on principles behind Hexagonal Architecture and Uncle Bob’s Clean Architecture.

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Software Architecture Quality Attributes

DZone

Quality attributes usually assessed and analyzed at the architecture level, not at the code level. These various technologies need to be managed and organized to deliver a quality product.

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Improve Efficiency With Smaller Code Reviews

DZone

In the ever-evolving software paradigm, oftentimes multiple developers work on the shared code base collaboratively. Code management becomes challenging with the number of developers, the scope of change, the pace of delivery, etc on a shared code base.

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Dynatrace Observability for Developers saves time with real-time data

Dynatrace

What developers want Developers want to own their code in a distributed, ephemeral, cloud, microservices-based environment. This ownership starts with understanding how their code behaves in all environments, resolving issues, and writing and optimizing code in a high-quality, secure, and timely manner.

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Bridging the Observability Gap for Modern Cloud Architectures

DZone

Cloud-native architectures have brought immense complexity along with increased business agility. By leveraging Davis AI and other core platform capabilities, Dynatrace provides intelligent observability and automation from code to production to help teams build, run, and optimize modern cloud-native applications.

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Finding and Fixing Five Kinds of Architectural Technical Debt

DZone

Technical debt takes on various forms from source code smells to security risks to the more serious issue of architectural technical debt. What exactly is architectural technical debt and why should I care?

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The keys to selecting a platform for end-to-end observability

Dynatrace

DevOps and security teams managing today’s multicloud architectures and cloud-native applications are facing an avalanche of data. This enables proactive changes such as resource autoscaling, traffic shifting, or preventative rollbacks of bad code deployment ahead of time.