Amazon Web Services (AWS) is a $54 billion behemoth.
It's bigger than Marriott, Netflix, and Twitter...combined.
Yet 99% of us don't actually understand the business.
THREAD: The story of AWS & lessons we can learn from it
The trimodal nature of software engineering compensation: https://t.co/PZyT24AIl2
Equity for software engineers: https://t.co/WxQ9pPZqYo
The most heated tech job market in history: https://t.co/itIS5WE4rK
The 2021 #MTNAppAcademy has an exciting new addition called Campus Cup that is open to students currently enrolled at accredited tertiary education facilities, universities, TVET colleges and institutions and incubation hubs.
Represent your campus 👉 https://t.co/rNWsdROmdh
The second step is to enumerate the available resources that facilitate the implementation of the project. For example, a good starting point is to list available:
Engineering resources
Financial resources
Timeframes
Internal knowledge
Design Considerations for Cloud-Native Applications.
Having a good understanding of functional requirements and available resources can lead to a simpler choice between monolithic and microservice-based architectures.
The first step in the context discovery process is to list the functional requirements or what application capabilities should deliver to the end-users. A good starting point is to expand on the following:
Stakeholders
Functionalities
End users
Input and output process
Eng teams
Update: the Data Science Curriculum Pledge Drive is now 96% funded.
Help us design projects for 12 new math, computer science, and machine learning Python certifications. All donations are 100% matched by @darrellsilver.
Learn more and get involved here: https://t.co/kClO5ND4lg
Take it one step at a time.
When you're thinking about the problem you're solving and the size of the market; when you're thinking about the distribution channel; and when you're thinking about the product: think small.
https://t.co/tkLiyrUMgi
This is cool project to check out.
Utilizing your £150 free Azure credits using honeypots as a learning tool for Exam AZ-900: Microsoft Azure Fundamentals. #GautengAzureTraining https://t.co/PRa5jKnU9q
In 1935, the US enacted various New Deal cultural programs to provide relief for jobless artists and democratize public access to art.
A century later, it’s time to renew that spirit.
Enter: Universal Creative Income 🪙
New blog by me & @lilashroff
https://t.co/lxON7zUsTJ
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"Software development has been, is, and will likely remain fundamentally hard. Building quality systems involves an essential and irreducible complexity, which is why the entire history of software engineering can be characterized as one of rising levels of abstraction....
Data Science is a big field, and it's growing fast.
There are a lot of topics to cover if you want to become a data scientist - so where do you start?
In this article @tyagi_harshit24 lays out a Data Science roadmap to help you plan your path.
https://t.co/wvE6I3zBk4