关于“使用 Artifact Registry”的评价

after few trials it worked with cloud code. But nevertheless it is very slow.

Michael W. · 评论about 1 year之前

Raj D. · 评论about 1 year之前

Anindya Aryoko C. · 评论about 1 year之前

Chaitanya V. · 评论about 1 year之前

Kubernetes and Compute Engine in the Cloud Shell Editor were really slow.

Arthur E. · 评论about 1 year之前

Shandy Satria N. · 评论about 1 year之前

Anindya Aryoko C. · 评论about 1 year之前

Riska Amelia Puspita Sari C. · 评论about 1 year之前

Andika D. · 评论about 1 year之前

Daffa Febrian Saputr C. · 评论about 1 year之前

Ismael C. · 评论about 1 year之前

Ismael C. · 评论about 1 year之前

Arya S. · 评论about 1 year之前

Ismael C. · 评论about 1 year之前

I waited a long time just to wait for an error due to a lack of resources in creating the cluster and I couldn't complete task 1 and waited more than 40 minutes.

Arya S. · 评论about 1 year之前

Rafli Arabiansyah C. · 评论about 1 year之前

It took 10m for GKE to init, and Cloud Code was horrifyingly slow to load. The time spent in Cloud Code was excessive compared to the time actively learning about artifact registry, so the lab title is a little misleading.

Christopher A. · 评论about 1 year之前

Maximiliano P. · 评论about 1 year之前

T M. · 评论about 1 year之前

Akhilesh R. · 评论about 1 year之前

cloud shell editor ran so slow the lab couldn't be finished on time

colton l. · 评论about 1 year之前

Violia Ruana Nur'aini Sagita C. · 评论about 1 year之前

Kishore Kumar V. · 评论about 1 year之前

Violia Ruana Nur'aini Sagita C. · 评论about 1 year之前

Santwana P. · 评论about 1 year之前