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Azure Well-Architected Framework: What it is and how to tame it with AI and automation

Dynatrace

As organizations adopt microservices architecture with cloud-native technologies such as Microsoft Azure , many quickly notice an increase in operational complexity. The Azure Well-Architected Framework is a set of guiding tenets organizations can use to evaluate architecture and implement designs that will scale over time.

Azure 193
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Open-Sourcing Metaflow, a Human-Centric Framework for Data Science

The Netflix TechBlog

About two years ago, we, at our newly formed Machine Learning Infrastructure team started asking our data scientists a question: “What is the hardest thing for you as a data scientist at Netflix?” Our job as a Machine Learning Infrastructure team would therefore not be mainly about enabling new technical feats.

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Panel Recap: How is your performance and reliability strategy aligned with your customer experience?

Dynatrace

Change starts by thoroughly evaluating whether the current architecture, tools, and processes for configuration, infrastructure, code delivery pipelines, testing, and monitoring enable improved customer experience faster and with high quality or not. Rethinking the process means digital transformation.

Strategy 183
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Seamlessly Swapping the API backend of the Netflix Android app

The Netflix TechBlog

We tried a few iterations of what this new service should look like, and eventually settled on a modern architecture that aimed to give more control of the API experience to the client teams. For us, it means that we now need to have ~15 MDN tabs open when writing routes :) Let’s briefly discuss the architecture of this microservice.

Latency 233
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DevOps vs DevSecOps: 6 ways that integrating security boosts DevOps

Dynatrace

Traditional application security measures are not living up to the challenges presented by dynamic and complex cloud-native architectures and rapid software release cycles. Security is by design, not tacked on. The result is security by design. Why application security measures are failing.

DevOps 158
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DevSecOps: Recent experiences in field of Federal & Government

Dynatrace

This is especially true when we consider the explosive growth of cloud and container environments, where containers are orchestrated and infrastructure is software defined, meaning even the simplest of environments move at speeds beyond manual control, and beyond the speed of legacy Security practices. And this poses a significant risk.

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Open-Sourcing Metaflow, a Human-Centric Framework for Data Science

The Netflix TechBlog

About two years ago, we, at our newly formed Machine Learning Infrastructure team started asking our data scientists a question: “What is the hardest thing for you as a data scientist at Netflix?” Our job as a Machine Learning Infrastructure team would therefore not be mainly about enabling new technical feats.