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What is chaos engineering?

Dynatrace

But with the complexity that comes with digital transformation and cloud-native architecture, teams need a way to make sure applications can withstand the “chaos” of production. In 2009, the purveyor of online videos migrated to AWS cloud infrastructure to deliver its entertainment to a growing audience.

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Helping VFX studios pave a path to the cloud

The Netflix TechBlog

Rachel Kelley (AWS), Ranjit Raju (AWS) Rendering is core to the the VFX process VFX studios around the world create amazing imagery for Netflix productions. This ultimately results in more compelling entertainment for Netflix members. By: Peter Cioni (Netflix), Alex Schworer (Netflix), Mac Moore (Conductor Tech.),

Cloud 282
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Expanding the Cloud - Cluster Compute Instances for Amazon EC2.

All Things Distributed

Other industries using Amazon EC2 for HPC-style workloads include pharmaceuticals, oil exploration, industrial and automotive design, media and entertainment, and more. There is no more need for hardware tinkering to keep the clusters up and running (I spent many nights doing this; there is no glory in it). until today. All postings.

Cloud 118
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Growth Engineering at Netflix?—?Automated Imagery Generation

The Netflix TechBlog

entertainment?—?and We can leverage high performance VMs in AWS to generate the assets. However, it would be cost-inefficient to leverage this same hardware for lightweight and more consistent traffic patterns that an asset management service requires. Here’s what the final architecture looked like.

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Off by Two

Nick Desaulniers

“War stories” in programming are entertaining tales of truly evil bugs that kept you up at night. has given me much fulfilment and a long list of truly awful bugs to recount. . /* Restricted version used during very early boot */. Recent work. void __init early_fixup_exception ( struct pt_regs * regs , int trapnr ). {.

C++ 67
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Spice up your Analytics: Amazon QuickSight Now Generally Available in N. Virginia, Oregon, and Ireland.

All Things Distributed

As I mentioned, we live in a world where massive volumes of data are being generated, every day, from connected devices, websites, mobile apps, and customer applications running on top of AWS infrastructure. The reality is that many traditional BI solutions are built on top of legacy desktop and on-premises architectures that are decades old.

Analytics 152