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Our First Netflix Data Engineering Summit

The Netflix TechBlog

Engineers from across the company came together to share best practices on everything from Data Processing Patterns to Building Reliable Data Pipelines. The result was a series of talks which we are now sharing with the rest of the Data Engineering community!

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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. Industry apps explosion.

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Dynatrace Perform 2024 Guide: Deriving business value from AI data analysis

Dynatrace

Why growing AI adoption requires an AI observability strategy – blog While AI adoption brings operational efficiency and innovation for organizations, it also introduces the potential for runaway AI costs. The goal of the practice is to reduce manual effort and redundant tasks to allow developers to spend more time innovating.

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Risk Based Testing – An Introduction

Testlodge

A risk analyst or an experienced software engineer will be in the best position to carry out this activity. With the RBT approach, despite all the hurdles, the team are able to focus on more important areas and devise a better strategy.

Testing 105
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Cloudy with a high chance of DBMS: a 10-year prediction for enterprise-grade ML

The Morning Paper

Enterprises in every industry are developing strategies for digitally transforming their businesses at every level. Many of the software engineering discipline and controls need to be brought over into an ML context. Flock treats ML models as software artefacts derived from data.

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The State of DevOps Automation assessment: How automated are you?

Dynatrace

It addresses the extent to which an organization prioritizes automation efforts, including budgets, ROI models, standardized best practices, and more. Operations automation: The operations section addresses the level of automation organizations use in maintaining and managing existing software.

DevOps 179
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DevOps observability: A guide for DevOps and DevSecOps teams

Dynatrace

From site reliability engineering to service-level objectives and DevSecOps, these resources focus on how organizations are using these best practices to innovate at speed without sacrificing quality, reliability, or security. SRE applies software engineering principles to operations and infrastructure processes.

DevOps 190