The current Dress4win system architecture has high latency to some customers because it is located in one
data center.
As of a future evaluation and optimizing for performance in the cloud, Dresss4win wants to distribute it ' s system
architecture to multiple locations when Google cloud platform.
Which approach should they use?
For this question, refer to the Dress4Win case study.
The Dress4Win security team has disabled external SSH access into production virtual machines (VMs) on Google Cloud Platform (GCP). The operations team needs to remotely manage the VMs, build and push Docker containers, and manage Google Cloud Storage objects. What can they do?
For this question, refer to the Dress4Win case study.
As part of Dress4Win ' s plans to migrate to the cloud, they want to be able to set up a managed logging and monitoring system so they can handle spikes in their traffic load. They want to ensure that:
• The infrastructure can be notified when it needs to scale up and down to handle the ebb and flow of usage throughout the day
• Their administrators are notified automatically when their application reports errors.
• They can filter their aggregated logs down in order to debug one piece of the application across many hosts
Which Google StackDriver features should they use?
Dress4win has end to end tests covering 100% of their endpoints.
They want to ensure that the move of cloud does not introduce any new bugs.
Which additional testing methods should the developers employ to prevent an outage?