Something to think about
Good article on understanding caching
Interesting observations on how OpenAI uses Kubernetes
Atsibodo virtualios IT konferencijos? Mums taip pat. Todėl jau ši balandį norime Tave pakviesti į jau antrą kartą vyksiantį DevOps forumą "DevOps in Shorts".
Interesting info on how Uber operates it's infrastructure.
>Leslie shares his journey into computing, which started out as something he only did in his spare time as a mathematician. Scott and Leslie discuss the differences and similarities between computer science and software engineering, the math involved in Leslie’s high-level temporal logic of actions (TLA), which can help solve the famous Byzantine Generals Problem, and the algorithms Leslie himself has created. He also reflects on how the building of distributed systems has changes since the 60s and 70s.
There is no such system that will not fail, so the question - how?
Talks about failure domains, fault isolation and testing it (using chaos engineering)
>Specifically, we’re diving into a massive migration project by Khan Academy, involving moving one million lines of Python code and splitting them across more than 40 services, mostly in Go, as part of a migration that took 3.5 years and involved around 100 software engineers.
How to think about these systems
Actually quite good insights
Some Terraform practices
I remember when reverse tunnel was a security issue - now it is widely used!
Tracing back to the root
Are you doing a new trend already?
reliability capabilities in gcp
Simple intro into port scanning and a little bit on detection
So... the house of cards is starting to fall?
Such and similar events always remind me two readings:
[How complex systems fail](https://how.complexsystems.fail/) and
[Why Do Computers Stop
and What Can Be Done
About It?](https://www.hpl.hp.com/techreports/tandem/TR-85.7.pdf)
can this be prevented? I don't think so, but what could be done? Check this book - [Antifragile](https://ziurkes.group.lt/book/5325/s/antifragile)
Still, Sourcegraph is on fire.