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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.

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SRE Best Practices for Java Applications

DZone

Site reliability engineering (SRE) plays a vital role in ensuring Java applications' high availability, performance, and scalability. This discipline merges software engineering and operations, aiming to create a robust infrastructure that supports seamless user experiences.

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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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Stuff The Internet Says On Scalability For October 5th, 2018

High Scalability

antirez : "After 20 years as a software engineer, I've started commenting heavily. Don't miss all that the Internet has to say on Scalability, click below and become eventually consistent with all scalability knowledge (which means this post has many more items to read so please keep on reading). So many more quotes.

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Key Elements of Site Reliability Engineering (SRE)

DZone

Site Reliability Engineering (SRE) is a systematic and data-driven approach to improving the reliability, scalability, and efficiency of systems. It combines principles of software engineering, operations, and quality assurance to ensure that systems meet performance goals and business objectives.

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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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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.