Managing Logs, Errors and Application Performance Using Google Stackdriver

Finally, you will study the three services that comprise the Stackdriver APM suite for application performance management

First, you will study how you can work with log data using Stackdriver Logging

Learn about the logging, error reporting, debugging, trace and profiler services within Stackdriver

Next, you will study how Stackdriver Error Reporting can be used with applications running on different GCP compute options, including Compute Engine VMs and Cloud Functions

Stackdriver uses fluentd agents to configure and collect log metrics and you will install logging agents on Compute Engine VM instances and explore the metrics that can be monitored

This includes Stackdriver Debugging which can be used to debug applications running on App Engine and Compute Engine VMs and Stackdriver Trace and Profiler which help you observe request latencies and code performance

When you’re done with this course, you will be well-versed with the different specialized services within the Stackdriver suite that can help you track, debug and profile your applications running on the GCP

You will see how you can view and manage errors in the Error Reporting UI and also work with the issue tracker to monitor issues and notifications to receive updates on a channel of your choice

You will work with counters as well as distribution metrics and learn exporting logging data and managing exclusions