Today Talk Basic Concepts Setting up the Google Cloud environment Configuring the Github workflow Creating our Python app Deploying our cloud function Where To Get Started? TOPICS COVERED AUTOMATED GOOGLE CLOUD FUNCTIONS WORKFLOW USING GITHUB ACTIONS
code changes by 80 percent. Increase speed and accuracy while reducing the risk of introducing breaking changes. Improve code quality throughout the organization by reducing the risk of bugs or bad code making it to production. WHY IS CODE AUTOMATIONS IMPORTANT? 03 WHY IS CODE AUTOMATIONS IMPORTANT?
code changes by 80 percent. Increase speed and accuracy while reducing the risk of introducing breaking changes. Improve code quality throughout the organization by reducing the risk of bugs or bad code making it to production. WHY IS CODE AUTOMATIONS IMPORTANT? 03 WHY IS CODE AUTOMATIONS IMPORTANT?
release can be made in Production after Testing. Continuous Deployment is a step ahead of continuous Delivery. With this practice, every change that passes all stages of the production pipeline is released to the customers.
a service account key. Visit the created service and open the "keys" tab. Create a new key with type “JSON”. Save the json key because we need to configure this as a Github secret.
""" Args: request (flask.Request): The request object Returns: The response text, or any set of values that can be turned into a Response object using `make_response` """ return "Hello World!"