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Early in the days of high-traffic web pages and apps, any engineer operating the infrastructure would have a server room where one or more machines served that app to the world. They named their servers lovingly, took pictures, and watched them grow. The servers were pets. But since the rise of public cloud and infrastructure as code, servers have become cattle—you have as many as you need at any given time and don’t feel personally attached to any given one. And as more and more organizations find their way to the cloud, more and more engineers need to figure out how to herd cattle instead of feed pets.
Show notesGartner forecasts that around $500 billion will be spent worldwide on end user cloud computing during 2022. Firment says that’s only 25% of IT budgets today, but he expects it to grow to 65% by 2025.
Don’t doubt the power of your people. Gartner estimates that 50% of all cloud IT migration projects are delayed up to two years simply because of the lack of skills.
Pluralsight just published its State of the Cloud report. 75% of of all leaders want to build new products and services in the cloud, but only 8% of the technologists have the experience to actually work with cloud related tools.
Today we’re highlighting a Great Question badge winner—a question with a score of 100 or more—awarded to Logan Besecker for their question: How do you cache an image in JavaScript?
Want to start earning your cloud certificates? Head over to Pluralsight.
Connect with Ben or Ryan on Twitter. Find Drew on LinkedIn.
An open-source development paradigm
Would you board a plane safety-tested by GenAI?
How to train your dream machine
OverflowAI and the holy grail of search
Spreading the gospel of Python
Between hyper-focus and burnout: Developing with ADHD
Reshaping the future of API platforms
The reverse mullett model of software engineering
Net neutrality is in; TikTok and noncompetes are out
Supporting the world’s most-used database engine through 2050
Is GenAI the next dot-com bubble?
Why configuration is so complicated
If everyone is building AI, why aren't more projects in production?
How do you evaluate an LLM? Try an LLM.
Diverting more backdoor disasters
Climbing the GenAI decision tree
Want to be a great software engineer? Don’t be a jerk.
What a year building AI has taught Stack Overflow
Are long context windows the end of RAG?
Will antitrust suits benefit developers?
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