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Understanding What Kubernetes Is Used For: The Key to Cloud-Native Efficiency

Percona

Kubernetes manages and orchestrates these containers, handling tasks such as deployment, scaling, load balancing, and networking. Applications can be horizontally scaled with Kubernetes by adding or deleting containers based on resource allocation and incoming traffic demands.

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Case Study: Pokémon GO on Google Cloud Load Balancing

High Scalability

It was the first new Pokémon game in years, the first official Pokémon smartphone game, and Niantic’s first project in concert with a major entertainment company. Prior to launch, they load-tested their software stack to process up to 5x their most optimistic traffic estimates.

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Why Traditional Monitoring Isn’t Enough for Modern Web Applications

Dotcom-Montior

Web monitoring is a comprehensive term that describes the activity of testing a website or web application for its availability and performance. Users who rely on the websites for their fundamental needs or entertainment will not tolerate even a few seconds delay. Network or connection error. Network latency. HTTP error.

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

All Things Distributed

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. By moving to AWS, Lamborghini was able to prepare the development and test environment in a couple of days.

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Solaris to Linux Migration 2017

Brendan Gregg

We're now testing container hosts in production on btrfs, instead of ZFS. At my employer we sometimes use SR-IOV for direct network interface access, and NVMe for direct disk access. I also wrote and published an entertaining SMF manifest that played music. A lot of people got it and learned to love SMF. x series.

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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. What more can we learn from this test, to inform the next one?”