关于“将应用部署到 Google Cloud”的评价
66268 条评价
veeramani g. · 已于 about 1 year前审核
FAZIMA K. · 已于 about 1 year前审核
מור א. · 已于 about 1 year前审核
Christian Eduardo M. · 已于 about 1 year前审核
so fun
PD-SRE y. · 已于 about 1 year前审核
In "Task 4. Deploy to Cloud Run", image was built and pushed to artifact registry, but assessment module didn't recognise the cloud run image on artifact registry.
Satya P. · 已于 about 1 year前审核
Cynthia C. · 已于 about 1 year前审核
good
Raja R. · 已于 about 1 year前审核
good
Prabu M. · 已于 about 1 year前审核
GREAT!
Igor C. · 已于 about 1 year前审核
Ismar B. · 已于 about 1 year前审核
paths in task 3 and 4 are wrong. instead of cd ~/gcp-course/training-data-analyst/courses/design-process/deploying-apps-to-gcp it shall be cd ~/gcp-course/deploying-apps-to-gcp
Tomasz W. · 已于 about 1 year前审核
1. Lab have many mistakes and typos. Cite: @app.route("/") def main(): model = {"title" "Hello App Engine"} return render_template('index.html', model=model) Should be: @app.route("/") def main(): model = {"title": "Hello App Engine"} return render_template('index.html', model=model) Missing semicolon ":" between the strings "title" "Hello App Engine" will lead to errors 500 then deployed. I assume those errors and/ or output of the deployed app version not actually checked in the lab - nobody noticed. This typo is repeated two more times: ------------ @app.route("/") def main(): model = {"title" "Hello Kubernetes Engine"} return render_template('index.html', model=model) @app.route("/") def main(): model = {"title" "Hello Cloud Run"} return render_template('index.html', model=model) 2. some task specs are confusing: Cite: "To migrate production traffic to version two, click Split Traffic at the top. Change the version to two, and click Save." but proportions of the split is not specified (and not checked in the lab), default proportion of the split is 0 - traffic will go to ver1 not to ver2 3. paths are not correct "Add a file named kubernetes-config.yaml to the training-data-analyst/courses/design-process/deploying-apps-to-gcp folder." .... "cd ~/gcp-course/training-data-analyst/courses/design-process/deploying-apps-to-gcp gcloud builds submit --tag us-central1-docker.pkg.dev/$DEVSHELL_PROJECT_ID/devops-demo/devops-image:v0.2 ." "cd ~/gcp-course/training-data-analyst/courses/design-process/deploying-apps-to-gcp gcloud builds submit --tag us-central1-docker.pkg.dev/$DEVSHELL_PROJECT_ID/devops-demo/cloud-run-image:v0.1 ." Those steps will not work - we never mentioned the folder "training-data-analyst" before in the lab, originally we created a path ~/gcp-course/deploying-apps-to-gcp.
Yuri G. · 已于 about 1 year前审核
Gabriel G. · 已于 about 1 year前审核
Sundar M. · 已于 about 1 year前审核
Rizky Eka Briliansyah C. · 已于 about 1 year前审核
There was some confusion in the folder structure. The instructions for the Kubernetes part did not match the ret of the lab.
Fredrik K. · 已于 about 1 year前审核
Vidya M. · 已于 about 1 year前审核
Brenda Y. · 已于 about 1 year前审核
Sandeep N. · 已于 about 1 year前审核
Aneika L. · 已于 about 1 year前审核
good
Prabu M. · 已于 about 1 year前审核
more time needed...abrobtly ended the lab...gave a new login...all my progress is lost. Tried to reach the support, no use...feeling helpless
Sivasankaran N. · 已于 about 1 year前审核
Muhammad A. · 已于 about 1 year前审核
Mustafa T. · 已于 about 1 year前审核
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