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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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Scaling Is Not Just About Products – It’s About Teams, Too

DZone

We are well aware of what is meant by system scalability. System scalability is about maintaining the SLA of the system as the user base continues to grow and as the user activity continues to rise. However, to build highly successful products, this is not the only type of scalability that we should worry about. Introduction.

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What is platform engineering?

Dynatrace

With growing multicloud complexity and the need for organization-wide scalability, self-service and automation capabilities have become increasingly essential for developer productivity. In response to this shift, platform engineering is growing in popularity. The result is a cloud-native approach to software delivery.

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SRE vs DevOps: What you need to know

Dynatrace

Cloud-native environments bring speed and agility to software development and operations (DevOps) practices. DevOps is focused on optimizing software development and delivery, and SRE is focused on operations processes. DevOps is best thought of as a practical approach to speeding up new software development and delivery.

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How and Why the Developer-First Approach Is Changing the Observability Landscape

DZone

Developers play a crucial role in modern companies. If we want our product to be successful, we need to have a developer-first approach and include observability from day one. Read on to understand why. The World Has Changed Many things have changed in the last decade.

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Computational Causal Inference at Netflix

The Netflix TechBlog

In order to gain broad software integration of causal effects models, a significant investment in software engineering, especially in computation, is needed. Finally, the scalability makes computation for large engineering systems tractable, reducing engineering risk. Can it be computationally tractable?

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

Dynatrace

By 2023, over 500 million digital apps and services will be developed and deployed using cloud-native approaches. For software engineering teams, this demand means not only delivering new features faster but ensuring quality, performance, and scalability too. Industry apps explosion.