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What is chaos engineering?

Dynatrace

The many disaster scenarios and outcomes allow chaos engineers to better model what happens to applications and microservices, which gives them increasing intelligence to share with developers to perfect software and cloud-native infrastructure. Accelerates innovation. The history of chaos engineering. Blast radius.

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Celebrating partnerships and excellence with the Dynatrace 2020 Partner Awards

Dynatrace

While we missed seeing our partners in person, networking, socializing, and having fun learning together, the virtual event format catered for four time zones, keynote mainstage, coupled with geo breakouts allowed for a much larger audience than ever before. EMEA Cloud Innovation Award. Cloud Innovation Award – two winners.

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What is an A/B Test?

The Netflix TechBlog

Martin Tingley with Wenjing Zheng , Simon Ejdemyr , Stephanie Lane , and Colin McFarland This is the second post in a multi-part series on how Netflix uses A/B tests to inform decisions and continuously innovate on our products. See here for Part 1: Decision Making at Netflix. Figure 2: A simple A/B test.

Testing 245
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Ciao Milano! – An AWS Region is coming to Italy!

All Things Distributed

Currently we have 57 Availability Zones across 19 technology infrastructure Regions. We needed to serve our growing base of startup, government, and enterprise customers across many vertical industries, including automotive, financial services, media and entertainment, high technology, education, and energy.

AWS 167
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Expanding the Cloud – An AWS Region is coming to Hong Kong

All Things Distributed

As well as AWS Regions, we also have 21 AWS Edge Network Locations in Asia Pacific. It's an entertainment website where users can post content or "memes" that they find amusing and share them across social media networks. They believe that they have reduced development time from 20 to 30 percent by having done so.

AWS 146
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What I learned at GlueCon 2023?—?Tipping Points and Generative AI

Adrian Cockcroft

My talk was on Innovation and Tipping Points, the first half was based on some content I’ve given before on how to get out of the way of innovation by speeding up time to value or idea to implementation. You need to be able to innovate fast enough to pivot or reinvent your business model and leverage the change.

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Experimentation is a major focus of Data Science across Netflix

The Netflix TechBlog

Here we describe the role of Experimentation and A/B testing within the larger Data Science and Engineering organization at Netflix, including how our platform investments support running tests at scale while enabling innovation. Growth Advertising At Netflix, we want to entertain the world ! Curious to learn more?