Curated articles, resources, tips and trends from the DevOps World.
Kubernetes is an incredibly powerful container orchestrator that can deploy and manage containerized applications at scale with more power and flexibility than any other tool on the market. Thing is, Kubernetes is hard. Really hard.
Hello Cloud Gurus! Wondering what’s changed with Azure over the last month, but haven’t had the time to check the headlines? We’ve written an article with everything you need to know to keep in the loop.
In Part 1 of this series, we created an architecture for a distributed social media system, using a Visual Studio code project and corresponding JSON files. Here is the architecture we created:
Point of view: You have been invited to a holiday social gathering. It’s potluck and you’ve been tasked with contributing a homemade dessert. Conflict: You have no idea what to make. You’re a coder, not a cook!
Kubernetes was born out of the need to make our complex applications highly available, scalable, portable and deployable in small microservices independently.
Today’s organizations are stuck in a bind. Overwhelmingly, they want to embrace digital transformation to work more efficiently and deliver the experiences customers and employees crave.
You would think developers would embrace cloud development environments (CDEs), also known as cloud IDEs, and yet, “¯\_(ツ)_/¯: It works on my machine” is still a relevant meme. “It’s like a paradox.
KubeCon + CloudNativeCon sponsored this post. DETROIT — Wayfair describes itself as “the destination for all things home: helping everyone, anywhere create their feeling of home.” It provides an online platform to acquire home furniture, outdoor decor and other furnishings.
I hope you’ve enjoyed your pumpkin spice lattes this fall, that is, assuming that you’re basic like me. The meme about programmers and their coffee will never be cliche right? Hope you enjoy this month’s issue. This course is a bit different.
LAS VEGAS — Amazon Web Services‘ Machine Learning University launched a bevy of educator training material geared around databases and machine learning, intended for curriculum in community colleges, minority-serving institutions (MSIs) and historically Black colleges and universities (HBCUs).
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