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Stackdriver

Fundamental 10 Labs 11h 23m 54 Credits

In this fundamental-level quest, you will learn the ins and outs of Stackdriver: an important GCP service for generating insights into applications’ health. Stackdriver provides a wealth of information in application monitoring, report logging, and diagnoses. The labs in this quest will give you hands-on practice with Stackdriver, and will teach you how to monitor virtual machines, generate logs and alerts, and create custom metrics for application data.

Infrastructure Application Development

Prerequisites

This quest will teach you Stackdriver basics and advanced features incrementally, but hands-on experience with GCP’s core computing and infrastructure services is required before taking labs in this series. It is recommended that the students have at least earned a Badge by completing the GCP Essentials Quest. Additional lab experience with the labs in the Baseline: Infrastructure Quest will also be useful.

Quest Outline

Praxisorientiertes Lab

Stackdriver: Qwik Start

In diesem Lab erfahren Sie, wie Sie mit Stackdriver eine VM-Instanz von Google Compute Engine überwachen.

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Praxisorientiertes Lab

Monitoring Multiple Cloud Projects with Stackdriver

In this hands-on lab we take a look through some of the information provided by the Stackdriver Monitoring tools, and teach some of the concepts you will need to know to take advantage of Stackdriver Monitoring effectively.

Praxisorientiertes Lab

Monitoring and Logging for Cloud Functions

In this hands-on lab we take a look through some of the information provided by the Stackdriver Monitoring tools, and teach some of the concepts you will need to know to take advantage of Stackdriver Monitoring effectively.

Praxisorientiertes Lab

Reporting Application Metrics into Stackdriver

In this lab you'll learn how to report your application’s metrics into Stackdriver by using the OpenCensus library.

Praxisorientiertes Lab

Stackdriver Profiler: Qwik Start

In this lab you'll learn how to use Stackdriver Profiler on GCP by downloading a sample Go program then exploring the captured data in the Profiler console.

Praxisorientiertes Lab

Creating and Alerting on Logs-based Metrics

In this hands-on lab we take a look through some of the information provided by the Stackdriver Monitoring tools, and teach some of the concepts you will need to know to take advantage of Stackdriver Monitoring effectively.

Praxisorientiertes Lab

Autoscaling an Instance Group with Stackdriver Custom Metrics

This lab describes how to deploy an autoscaling Compute Engine instance group that is automatically scaled using a custom Stackdriver metric

Praxisorientiertes Lab

Stackdriver Kubernetes Monitoring

In this lab you'll try out some of the unique features that enable you to monitor and troubleshoot your Kubernetes applications with Stackdriver Kubernetes Monitoring, which integrates metrics, logs, events, and metadata.

Praxisorientiertes Lab

Application Performance Management (APM) mit Stackdriver

In diesem Lab gehen Sie einige der einzigartigen Stackdriver-Funktionen durch, mit denen Sie Ihre Anwendungen überwachen und Fehler beheben können. Sie erfahren, wie Sie Fehler in der Produktionsumgebung beheben, API-Aufrufe verfolgen und Logpoints dynamisch hinzufügen.

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Praxisorientiertes Lab

Customizing Stackdriver Logs for Kubernetes Engine with Fluentd

This lab describes how to customize Stackdriver logging using Fluentd for a Google Kubernetes Engine cluster.

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