Deploying Apps to Google Cloud Reviews
66268 reviews
veeramani g. · Reviewed about 1 year ago
FAZIMA K. · Reviewed about 1 year ago
מור א. · Reviewed about 1 year ago
Christian Eduardo M. · Reviewed about 1 year ago
so fun
PD-SRE y. · Reviewed about 1 year ago
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. · Reviewed about 1 year ago
Cynthia C. · Reviewed about 1 year ago
good
Raja R. · Reviewed about 1 year ago
good
Prabu M. · Reviewed about 1 year ago
GREAT!
Igor C. · Reviewed about 1 year ago
Ismar B. · Reviewed about 1 year ago
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. · Reviewed about 1 year ago
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. · Reviewed about 1 year ago
Gabriel G. · Reviewed about 1 year ago
Sundar M. · Reviewed about 1 year ago
Rizky Eka Briliansyah C. · Reviewed about 1 year ago
There was some confusion in the folder structure. The instructions for the Kubernetes part did not match the ret of the lab.
Fredrik K. · Reviewed about 1 year ago
Vidya M. · Reviewed about 1 year ago
Brenda Y. · Reviewed about 1 year ago
Sandeep N. · Reviewed about 1 year ago
Aneika L. · Reviewed about 1 year ago
good
Prabu M. · Reviewed about 1 year ago
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. · Reviewed about 1 year ago
Muhammad A. · Reviewed about 1 year ago
Mustafa T. · Reviewed about 1 year ago
We do not ensure the published reviews originate from consumers who have purchased or used the products. Reviews are not verified by Google.