GitHub - jwasham/coding-interview-university: A complete computer science study plan to become a software engineer.

GitHub - jwasham/coding-interview-university: A complete computer science study plan to become a software engineer.: "This is my multi-month study plan for going from web developer (self-taught, no CS degree) to software engineer for a large company.



This is meant for new software engineers or those switching from software/web development to software engineering (where computer science knowledge is required). If you have many years of experience and are claiming many years of software engineering experience, expect a harder interview.

If you have many years of software/web development experience, note that large software companies like Google, Amazon, Facebook and Microsoft view software engineering as different from software/web development, and they require computer science knowledge.

If you want to be a reliability engineer or operations engineer, study more from the optional list (networking, security)."



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Serverless and Deployment Issues – Paul Johnston – Medium

Serverless and Deployment Issues – Paul Johnston – Medium:

Currently, deployment tools give us monolithic deployment scenarios for Serverless.

This is unfortunate, but a direct consequence of utilising tools that aren’t built for a Serverless deployment.

We’re in a bit of a waiting phase before someone develops much more granular deployment tools.

Until
we have tools and infrastructure providers that allow us to do things
like blue/green and canarying on functions in a relatively simple way,
then we’re going to have to roll our own tools to deliver this. It’s not
easy, but it’s what we’ve been doing for the last couple of years
anyway.

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How I got to 200 productive hours a month

How I got to 200 productive hours a month: "When improving your productivity, don't expect it to increase in a week because the brain needs a lot of time to restructure to new behaviors. Instead, set a small performance goal like "get 5% better each month." Aiming for faster results will make you too stressed out, while productivity requires a calm mind and a well-rested body. Be tough on your ineffective habits, but please be easy on yourself."



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LinkedIn's Tips for Highly Effective Code Review - The New Stack

LinkedIn's Tips for Highly Effective Code Review - The New Stack: "In summary, having a formal code review process helps improve code quality, team learning, and knowledge sharing. The quality of work increases when every engineer on the team realizes two important things: someone else will read my code, so it better be good, and I’ll have to address any review comments I receive, so I should try to make my code good the first time around to save myself effort later on. When code reviews become an everyday habit, the team practices giving and receiving feedback on a daily basis. This is key for growth and improvement."



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GitHub - twitter/reasonable-scala: An experimental Scala compiler focused on compilation speed

GitHub - twitter/reasonable-scala: An experimental Scala compiler focused on compilation speed: "Reasonable Scala compiler (rsc) is an experimental Scala compiler focused on compilation speed. This project is developed by Eugene Burmako and his team at Twitter.



 At Twitter, we have one of the biggest Scala codebases on the planet, and compilation time is consistently among the top asks from our engineers. With rsc, we seek to foster innovation in compilation performance, openly prototyping performance-focused designs and making our findings available to the Scala community at large."



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Security: Exploits of a mom

Managing Data in Microservices

Managing Data in Microservices:



Randy Shoup shares proven patterns that have been successful at Google, eBay, and Stitch Fix. Shoup covers managing data, the need to isolate a microservice's data store behind the service interface, using events as a first-class tool in the architectural toolbox, techniques for service extraction from a monolithic database and much more.



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