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What Adrian Did Next?—?Part 3?—?eBay?—?2004 to 2007

Adrian Cockcroft

What Adrian Did Next — Part 3 — eBay — 2004 to 2007 I’d left Sun (part 2 in this series) , and had a few months off over the summer, so (of course) got married to @laurelco, bought a “fixer upper” house in the Los Gatos mountains, and worked on getting it tidied up. It was early 2007, and time to move on again.

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Rebuilding Netflix Video Processing Pipeline with Microservices

The Netflix TechBlog

Future blogs will provide deeper dives into each service, sharing insights and lessons learned from this process. The Netflix video processing pipeline went live with the launch of our streaming service in 2007. The Netflix video processing pipeline went live with the launch of our streaming service in 2007.

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What I learned at GlueCon 2023?—?Tipping Points and Generative AI

Adrian Cockcroft

One example is that Netflix launched it’s streaming service in 2007, just at the point when the cost of streaming a movie over the network (which was dropping fast) became less than the cost of shipping a DVD. Rob Hirschfeld of RackN had this perspective on the impact of AI on his domain of infrastructure automation.

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Is MongoDB Open Source? Is Planet Earth Flat?

Percona

MongoDB started out in 2007 as 10gen, a New York-based company looking to create a Platform as a Service (PaaS) solution. and partners) and in the process, stifling the upstarts, the truly open source little folks dreaming big. looking out for MongoDB Inc.

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MSMQ is dead

Particular Software

MSMQ is a distributed or federated messaging system where every server hosts the queue infrastructure, and outgoing messages are sent locally before being delivered to their ultimate address. However, it bears repeating: We don't have any concrete plans to start that process yet. But what about open source?

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DevOps automation: From event-driven automation to answer-driven automation [with causal AI]

Dynatrace

We will also explore the evolution of DevOps automation and the significance of data-driven answers in unlocking streamlined, automated DevOps and SRE processes. Business process automation Business process automation is the foundation for improving operational efficiency. But it doesn’t stop there.

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Scaling Media Machine Learning at Netflix

The Netflix TechBlog

Our goal in building a media-focused ML infrastructure is to reduce the time from ideation to productization for our media ML practitioners. We accomplish this by paving the path to: Accessing and processing media data (e.g. We accomplish this by paving the path to: Accessing and processing media data (e.g.

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