Data Science Model Deployments and Cloud Computing on GCP - Continuous Monitoring

The video tutorial introduces continuous monitoring as a process and technology for detecting compliance and risk issues in operational environments. It uses a simple example of an application ecosystem with three services to illustrate the challenges of error identification. The tutorial highlights the role of monitoring in aggregating logs to simplify error tracking and mentions New Relic as a key technology for this purpose. The video concludes with a brief overview of continuous monitoring's broader aspects, including error tracking and performance monitoring.

What is the primary purpose of continuous monitoring in operational environments?

• To increase the speed of application development

• To detect compliance and risk issues

• To enhance user interface design

• To reduce the number of servers needed

In the example provided, how many applications are used to manage the pizza ordering ecosystem?

• Three

• Thirty

• Five

• Two

What challenge does a development team face when each service has its own logging system?

• Increased server costs

• Difficulty in pinpointing the source of errors

• Difficulty in updating software

• Reduced application performance

How does monitoring help in simplifying the error tracking process?

• By reducing the number of applications

• By aggregating logs into a single event stream

• By improving user interface design

• By increasing server capacity

Which tool is mentioned as a solution for simplifying the monitoring process?

• Node.js

• Docker

• New Relic

• Kubernetes