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Allez, rendez-vous à Paris – An AWS Region is coming to France!

All Things Distributed

Since we opened the first AWS EU Region in Ireland in November 2007, we have seen an acceleration of companies adopting the AWS Cloud. To support our customers’ growth, their digital transformation, and to speed up their innovation and lower the cost of running their IT, we continue to build out additional European infrastructure.

AWS 166
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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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MSMQ is dead

Particular Software

So as a company dedicated to making our customers better at building, maintaining, and running complex software systems, it's basically impossible for us to recommend building a new system using MSMQ. What if you have a current system already running on MSMQ? So what do I need to do? What do you do then? for more details.

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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. Instead of relational (SQL) databases defined primarily through a hierarchy of related sets via tables and columns, their non-relational structure used a system of collections and documents.

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

Dynatrace

The evolution of DevOps automation Since the concept of DevOps emerged around 2007 and 2008 in response to pain points with Agile development, DevOps automation has been continuously evolving. Consider an event-driven automation system designed for incident management. But it doesn’t stop there.

DevOps 224
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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. This feature store is equipped with a data replication system that enables copying data to different storage solutions depending on the required access patterns.

Media 290
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Rebuilding Netflix Video Processing Pipeline with Microservices

The Netflix TechBlog

The Netflix video processing pipeline went live with the launch of our streaming service in 2007. This architecture shift greatly reduced the processing latency and increased system resiliency. Over the years, the system expanded to support various new use cases. This introductory blog focuses on an overview of our journey.