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?
Your company is planning to migrate their on-premises Hadoop environment to the cloud. Increasing storage
cost and maintenance of data stored in HDFS is a major concern for your company. You also want to make
minimal changes to existing data analytics jobs and existing architecture.
How should you proceed with the migration?
You are building a mobile application that will store hierarchical data structures in a database. The application will enable users working offline to sync changes when they are back online. A backend service will enrich the data in the database using a service account. The application is expected to be very popular and needs to scale seamlessly and securely. Which database and IAM role should you use?
The task at hand involves managing a sizable Google Kubernetes Engine (GKE) cluster. The current setup sees several application teams sharing a namespace to develop microservices for the cluster. The organization intends to bring on board additional teams for creating microservices. The aim is to set up multiple environments that guarantee optimal performance and security of each team's work. Furthermore, the objective is to minimize expenses while adhering to Google's best practices.