AWS, GCP, Azure
0%
Versel, Coolify, Dokploy
0%
OpenShift, Rancher, Portainer
33.3%
“From scratch” Kubernetes or Docker Swarm
66.7%
Poll ended at .

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).

#severless #appengine #google #cloud

🌘 Splitgraph/seafowl-gcsfuse:使用Cloud Run實現Seafowl的零擴展
➤ 在這個GitHub存儲庫中,您可以找到使用gcsfuse實現Seafowl的零擴展的Dockerfile和配置文件。
https://github.com/splitgraph/seafowl-gcsfuse
這個GitHub存儲庫提供了使用gcsfuse實現Seafowl的零擴展的Dockerfile和配置文件。Seafowl是一個基於雲端的數據庫管理系統,使用S3存儲數據庫對象,並使用SQLite作為目錄的後端。通過將gcsfuse添加到Seafowl容器中,可以將SQLite文件從存儲桶掛載到Seafowl容器中,從而實現零擴展。詳細步驟請參閱博客文章。
+ 這是一個非常有用的存儲庫,尤其是對於那些需要在雲端環境中運行Seafowl的人來說。使用gcsfuse實現零擴展是一個非常聰明的解決方案。
+ 我很喜歡這個存儲庫的文檔,它提供了詳細的步驟和示例,使人們可以輕鬆
#rust #gcp #faas #severless #datafusion #seafowl
GitHub - splitgraph/seafowl-gcsfuse: Scale to zero Seafowl hosting with Cloud Run

Scale to zero Seafowl hosting with Cloud Run. Contribute to splitgraph/seafowl-gcsfuse development by creating an account on GitHub.

GitHub

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

QCon Plus Software Development Conference

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.

QCon Plus Software Development Conference