When doing #devops what do you primarily use for #infrastructure ?
#kubernetes #docker #podman #aws #gcp #azure #Vercel #severless #openshift #coolify #dokploy #k8s #portainer
When doing #devops what do you primarily use for #infrastructure ?
#kubernetes #docker #podman #aws #gcp #azure #Vercel #severless #openshift #coolify #dokploy #k8s #portainer
I'm seeing "serverless" as a term of art in the cloud services space now.
I'm happy about it, but I'm also feeling a little grumpy-old-man about it (the term, not the concept) because I was into Google App Engine before it was cool.
(GAE is still around, but broadly Google decided that the real money was in chasing Amazon because the companies with big bucks to spend are too control-freak to trust an algorithm someone else came up with to manage their dynamic scaling. This was kinda the beginning of me watching Google decide that "long tail economics" was a myth or, at least, not where the fancy big-denomination dollar bills lived).
How can we do more to deliver stateful, communicating, autoscaling #cloudsoftware? - https://bit.ly/3AWKCwM
👉 Keynote: "On Beyond Serverless: CALM Lessons and a New Stack for Programming the #Cloud" - Joe Hellerstein, CS Professor Beyond Academia - UCBerkeley, ACM Fellow, Forbes list of “50 smartest people in technology”.
#Severless #QConPlus #OnlineEvent #SoftwareConference #SoftwareDevelopment #EmergingTrends #Tech #SoftwareArchitecture
Serverless computing promised a boundless programmable cloud, but delivered an army of incommunicado amnesiacs. Still, serverless computing is a hint of a better future: clouds as globe-spanning, auto-expanding supercomputers for anyone to program. In this talk I'll share lessons from research—both foundations like the CALM Theorem and practical experience from open source like the Anna KVS prototype—on how we can do so much more to deliver stateful, communicating, autoscaling cloud software.