chaosmonkey VS materials

Never saw this communicated by Google, but Netflix is the company I have in mind for doing that: https://github.com/Netflix/chaosmonkey

In 2010 Netflix developed a tool called "Chaos Monkey", whose goal was to randomly take down compute services (such as virtual machines or containers), part of the Netflix production environment, and test the impact on the overall Netflix service experience. In 2011 Netflix released a toolset called "The Simian Army", which added more capabilities to the Chaos Monkey, from reliability, security, and resiliency (i.e., Chaos Kong which simulates an entire AWS region going down). In 2012, Chaos Monkey became an open-source project (under Apache 2.0 license). In 2016, a company called Gremlin released the first "Failure-as-a-Service" platform. In 2017, the LitmusChaos project was announced, which provides chaos jobs in Kubernetes. In 2019, Alibaba Cloud announced ChaosBlade, an open-source Chaos Engineering tool. In 2020, Chaos Mesh 1.0 was announced as generally available, an open-source cloud-native chaos engineering platform. In 2021, AWS announced the general availability of AWS Fault Injection Simulator, a fully managed service to run controlled experiments.

Have a look at it https://github.com/Netflix/chaosmonkey

It’s kinda like Chaos Monkey except Elon is the chaos

they really did lmao

Thanks, that was an interesting read. Chaos Monkey

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I am no expert on facial recognition software but I read over an article on https://realpython.com. The site might be a little pricey (to some) but a few people in my Python group highly recommended it. It does have a ton of good tutorials.

Real Python

https://realpython.com/ is an excellent source. You can find there the building blocks of Python, explanations, hints, and tips.

Check out RealPython they were a great resource for me when I first started with Python. Linux skills will always be in demand too, though you might not necessarily find a job for both Python and Linux but I'm sure many exist. When you build a project make sure to document it and have a GitHub page for it, in a way your GitHub will serve as your resume in the software engineering space so take time to learn the platform and Git. More than likely you will also use GitHub or another VCS on the job so it's worth trying to understand.

Website: Real Python - Free docs are good

For help on specific topics, courses, or crash course style articles on a topic/technique, check out https://realpython.com/