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How Data Inspires Building a Scalable, Resilient and Secure Cloud Infrastructure At Netflix

The Netflix TechBlog

Central engineering teams enable this operational model by reducing the cognitive burden on innovation teams through solutions related to securing, scaling and strengthening (resilience) the infrastructure. All these micro-services are currently operated in AWS cloud infrastructure.

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What is IT automation?

Dynatrace

As organizations continue to adopt multicloud strategies, the complexity of these environments grows, increasing the need to automate cloud engineering operations to ensure organizations can enforce their policies and architecture principles. Automating IT practices without integrated AIOps presents several challenges.

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Sustainability at AWS re:Invent 2022 All the talks and videos I could find…

Adrian Cockcroft

COM201 Being ethical in tech: Sustainability tips for work and life — no video, but here is a video of Aerin Booth presenting an earlier version of the talk. Good example, well presented interesting new material. Engaging presentation on an important topic, with some good advice on optimizing ML workloads.

AWS 64
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Symphonia at Velocity 2018, and more Serverless Insights

The Symphonia

I was fortunate to be both presenting a 2-day workshop (on AWS Serverless Architectures and Continuous Deployment) as well as hosting a full-day Serverless track of talks. This track was a good state-of-the-union type affair, so I thought I’d share what was presented.

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Optimizing data warehouse storage

The Netflix TechBlog

This article will list some of the use cases of AutoOptimize, discuss the design principles that help enhance efficiency, and present the high-level architecture. Some of the optimizations are prerequisites for a high-performance data warehouse.

Storage 203
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The death of Agile?

O'Reilly

Large teams present their own problems, but it’s ironic to see writers scorning the “two pizza group” concept because it can’t possibly work for large organizations. Software architecture, infrastructure, and operations are each changing rapidly. Data quality might get worse before it gets better.

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Experimentation is a major focus of Data Science across Netflix

The Netflix TechBlog

To learn about Analytics and Viz Engineering, have a look at Analytics at Netflix: Who We Are and What We Do by Molly Jackman & Meghana Reddy and How Our Paths Brought Us to Data and Netflix by Julie Beckley & Chris Pham. Curious to learn about what it’s like to be a Data Engineer at Netflix?