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Software Architecture Quality Attributes

DZone

Quality attributes usually assessed and analyzed at the architecture level, not at the code level. However, some experts start talking about it, for example, I highly recommend you to attend Global Software Architecture Summit in Barcelona ( October, 1-2), where Alexander von Zitzewitz will talk about “Software Metrics for Architects”.

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Microservices vs. monolithic architecture: Understanding the difference

Dynatrace

Increasingly, teams release software features more quickly to accommodate customer needs. As a result, organizations are weighing microservices vs. monolithic architecture to improve software delivery speed and quality. Data supports this shift from monolithic architecture to microservices approaches. Easier to develop.

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Improve Efficiency With Smaller Code Reviews

DZone

The major challenges occur during: Code Merge Creating Code Reviews Performing Code Reviews Tracking Deployment and Debugging Issues Due to Code Changes Irrespective of the nature of software architecture i.e. micro-service or monolith, these challenges can impact developers day to day productivity.

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Architectural Fitness Function: Build Measurable Evolutionary Architecture

DZone

Evolutionary architecture is something every software architect thinks about. To support this evolution in Apiumhub we believe that fitness functions can help in finding how well a system meets specified architecture goals and constraints in an automated way. And today’s post is about architectural fitness functions.

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The Benefits of Software Architecture: Hierarchical Digital Twins

ScaleOut Software

Having just concluded participation in another In-Memory Computing Summit , it has become even more clear to me that the key to mainstream adoption of in-memory computing software platforms is architecture — the root of a platform’s value to applications. These priorities tend to push the architecture to the back burner.

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The Benefits of Software Architecture: Hierarchical Digital Twins

ScaleOut Software

Having just concluded participation in another In-Memory Computing Summit , it has become even more clear to me that the key to mainstream adoption of in-memory computing software platforms is architecture — the root of a platform’s value to applications. These priorities tend to push the architecture to the back burner.

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Up your quality and agility factor – using automation to build “performance-as-a-self-service”

Dynatrace

For software engineering teams, this demand means not only delivering new features faster but ensuring quality, performance, and scalability too. One way to apply improvements is transforming the way application performance engineering and testing is done. Performance-as-a-self-service . Try it today using Keptn .