What are the three ways to upload files to Google Cloud Storage?
The new version of your containerized application has been tested and is ready to deploy to production on Google Kubemetes Engine. You were not able to fully load-test the new version in pre-production environments. and you need to make sure that it does not have performance problems once deployed Your deployment must be automated. What should you do?
The case study involves Azgomi, a community application used for event planning, organizing sporting events, and for businesses to connect with their local communities. It has recently launched in a few neighborhoods in Dallas and is rapidly growing into a global phenomenon. Its unique style of hyper-local community communication and business outreach is in demand around the world.
The executive statement is to take the local community services global, with the venture capital investors wanting to see rapid growth and the same great experience for new local and virtual communities that come online, whether their members are 10 or 10000 miles away from each other.
Azgomi wants to expand their existing service with updated functionality in new regions to better serve their global customers. They plan to hire and train a new team to support these regions in their time zones. They also need to ensure that the application scales smoothly and provides clear uptime data.
Azgomi's existing technical environment is a mix of on-premises hardware and infrastructure running in Google Cloud Platform. They have limited experience in global-scale applications.
The business requirements are to expand the availability of the application to new regions, increase the number of concurrent users that can be supported, ensure a consistent experience for users when they travel to different regions, obtain user activity metrics to better understand how to monetize their product, ensure compliance with regulations in the new regions, reduce infrastructure management time and cost, and adopt the Google-recommended practices for cloud computing.
The technical requirements are that the application and backend must provide usage metrics and monitoring, APIs require strong authentication and authorization, logging must be increased, and data should be stored in a cloud analytics platform. They must move to serverless architecture to facilitate elastic scaling and provide authorized access to internal apps in a secure manner.
What is the most suitable method for Azgomi to store their application state to fulfill their business needs?
Containers are being created and managed across multiple projects in Google Cloud. A requirement for the application under development is to access Google Cloud services from within Google Kubernetes Engine (GKE).
What actions are recommended?
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