Professional Cloud Developer

Professional Cloud Developer

Intermediate

Gauge your current knowledge

Practice test preview
Track Readiness
Set Exam Goal

Troubleshooting and observability

Integrating applications with Google Cloud services
...

Study Guides for Sub-Sections

Using trace IDs to correlate trace spans across services
Identifying and resolving issues using Google Cloud Observability

Google Cloud Observability provides a complete view of your system's health by collecting telemetry data. This data includes metrics, which are numeri...

Managing application issues using Error Reporting

Error Reporting is a central tool that aggregates and displays errors from running cloud services. It helps developers identify the most frequent or newest defects so they...

Using AI-assisted observability

AI-assisted observability is a modern way to monitor applications by using artificial intelligence to understand system health. It helps developers quickly find the root c...

Instrumenting code to facilitate troubleshooting using metrics, logs, and traces in Google Cloud Observability

Instrumentation is the process of adding code to an application to emit telemetry data, such as metrics, logs, and traces. Google Cloud recommends using OpenTeleme...