Technology Trends | ✉️ #9
Hey! 👋
For the first time this year I have had the privilege of writing, and nothing I want to write about more than predictions for the year ahead. Of course, making predictions is often a pointless exercise, but for some reason I think we will be hearing a lot about AI this year. And naturally, as a creative person, I am concerned about this topic. First and foremost because, to some extent, it will determine the future of my profession. And although it is still a long way to the point where AI will be able to fully help me produce concrete and specific results (for example, creating a template for Power Point presentations based on particular corporate style that I have created), it is already having an impact on our work today. So far, however, only in matters of copyright and theft of other author’s content. And my prediction is that we will be hearing a lot about it this year.
In some areas this poses a real problem. And what's interesting is that technologies that can identify stolen audio content by fragments are plentiful. And there is a well-developed legal framework, both in the legal codes of many countries and in the rules of the streaming platforms. But there are no technologies that can identify the authorship of images and send out strikes to publishers, channels and sites that steal other author's images. They don't even exist to prevent outright theft. I know of sad cases where an artist creates a character and launches a web comic series, but soon another author appears who steals that character (right down to the details and plots), launches his own web comic series and successfully monetizes it. And social media platforms can’t do anything about it. Today this problem has become even more widespread, as it has become even easier to steal and monetize other people's content thanks to AI.
But I am sure that will change in 2023. In response to the problems and challenges that have arisen, systems will emerge that (thanks to the same neural networks) will learn to recognize authorship of illustrations, text and ideas, and the debate about where the line between inspiration, citation and plagiarism is drawn will take on a broader scope. Quote me.
Of course, it is possible to make predictions for this year in more fields and areas. But that is a job for others. Surely you have your own ideas about which technologies will be the headliners of 2023? Email me about that!
What we've shared
- Black-box monitoring with AWS CloudWatch Synthetics. In this article we will learn the difference between white-box and black-box monitoring, and configure some simple heartbeat black-box monitoring with AWS CloudWatch Synthetics - as well as compare it with DataDog and other solutions.
What we've discovered
The Future of Ops Is Platform Engineering: I tend to say that all we do these days is duct-taping public cloud services, but platform engineering sounds way nicer. Excellent summary from Charity.
Basecamp is Leaving the Cloud: Some good arguments there, both about cost and how much we all depend on 2-3 big providers today.
AWS Doesn't Make Sense for Scientific Computing: Not all apps and environments are the same, and not all benefit from the cloud. For example, scientific computing - which is explored in terms of cloud-fit in this short article.
Alternative for Kubernetes secret management and "sealed secrets" which are even safe to store in public repos - apparently! You can also check out our own old video about them.
DynamoDB Single vs Multi Table Design: An excellent article about internals of how DynamoDB works, and how it influences where you should setup a single or multiple tables per application.
A random reminder
Our Spanish-language channel exists! Share it with your fellow Spanish-speaking DevOps & Cloud enthusiasts.
The 10th mkdev dispatch will arrive on Friday, January 20th. See you next time!