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Supporting Diverse ML Systems at Netflix

The Netflix TechBlog

The Machine Learning Platform (MLP) team at Netflix provides an entire ecosystem of tools around Metaflow , an open source machine learning infrastructure framework we started, to empower data scientists and machine learning practitioners to build and manage a variety of ML systems.

Systems 226
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Performance Optimization for Multi-Layered Cloud Native AWS Application

DZone

Cloud-native application development in AWS often requires complex, layered architecture with synchronous and asynchronous interactions between multiple components, e.g., API Gateway, Microservices, Serverless Functions, and system of record integration.

AWS 263
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Implementing AWS well-architected pillars with automated workflows

Dynatrace

If you use AWS cloud services to build and run your applications, you may be familiar with the AWS Well-Architected framework. This is a set of best practices and guidelines that help you design and operate reliable, secure, efficient, cost-effective, and sustainable systems in the cloud.

AWS 252
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SRE vs AWS DevOps: A Personal Experience Comparison

DZone

With hands-on experience in AWS DevOps and Google SRE, I’d like to offer my insights on the comparison of these two systems. In this article, I’ll give a brief overview of AWS DevOps and Google SRE , examine when they work best, delve into potential pitfalls to avoid, and provide tips for maximizing the benefits of each.

DevOps 265
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Dynatrace supports Amazon Linux 2023 as an AWS launch partner

Dynatrace

Dynatrace is proud to be an AWS launch partner in support of Amazon Linux 2023 (AL2023). Amazon’s new general-purpose Linux for AWS is designed to provide a secure, stable, and high-performance execution environment to develop and run cloud applications.

AWS 286
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AWS observability: AWS monitoring best practices for resiliency

Dynatrace

Visibility into system activity and behavior has become increasingly critical given organizations’ widespread use of Amazon Web Services (AWS) and other serverless platforms. These challenges make AWS observability a key practice for building and monitoring cloud-native applications. What is AWS observability?

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DevOps engineer tools: Deploy, test, evaluate, repeat

Dynatrace

As cloud-native, distributed architectures proliferate, the need for DevOps technologies and DevOps platform engineers has increased as well. DevOps engineer tools can help ease the pressure as environment complexity grows. ” What does a DevOps platform engineer do? .” What are DevOps engineer tools and platforms.

DevOps 196