Tutorials and more

This page contains tutorials, videos, and Qwiklabs. To get started with Qwiklabs, sign in or create a free account.

Cloud Next videos

• Video: Cloud Load Balancing best practices

  In this Cloud Next video, watch demos to learn how enterprise customers deploy Cloud Load Balancing and the best practices they use to deliver smart, secure, modern services across the globe.

• Video: Improving reliability with error budgets, metrics, and tracing

  In this Cloud Next video, learn about the Site Reliability Engineering principle of error budgets and best practices for SLO-focused alerting and focused debugging.

• Video: Kubernetes apps: Effective monitoring and troubleshooting

  In this Cloud Next video, learn how to effectively integrate metrics, logs, and traces by using Cloud Monitoring, Logging, and Trace to increase the observability of your Kubernetes application.

• Video: DevOps 201 for application developers

  In this Cloud Next video, learn the pros and cons of the compute options available on Google Cloud, using Cloud Monitoring, Logging, and APM for observability and and diagnostics.

• Video: Stackdriver - monitor, diagnose, and fix

  In this Cloud Next video, learn how to find and fix subtle errors in an example app.

• Video: Apps Script monitoring and analytics with Cloud Logging and BigQuery

  In this Cloud Next video, you learn how to use Logging to monitor errors and log events from Google Apps Script.

• Video: Alerting best practices

  In this Cloud Next video, you learn both Google and industry-wide alerting strategies.

• Video: Monitoring and improving your big data applications

  In this Cloud Next video, you learn how to leverage Cloud Monitoring support in big data applications and how to consume metrics for downstream analysis and understanding.

Tutorials

• Tutorial: SAP HANA monitoring agent user guide

  In this tutorial, with Cloud Monitoring, you can build dashboards to visualize your SAP HANA metrics and set up alerts based on metric thresholds.

• Tutorial: Automating canary analysis on Google Kubernetes Engine with Spinnaker

  This tutorial shows you how to do an automated canary analysis on an application deployed on GKE and monitored by Cloud Monitoring.

• Tutorial: Deploying Pega Platform using Compute Engine and Cloud SQL

  In this tutorial, learn how to deploy Pega Platform on Google Cloud.

• Tutorial: White-box app monitoring for Google Kubernetes Engine with Prometheus

  This tutorial discusses methodologies for using Prometheus and Cloud Monitoring to do white-box monitoring for large and complex apps across many GKE namespaces, clusters, and Google Cloud projects.

• Tutorial: Autoscaling an instance group with Monitoring custom metrics

  This tutorial shows how to set up a Compute Engine managed instance group that autoscales based on the value of a Cloud Monitoring custom metric.

• Tutorial: Using Matplotlib to visualize Cloud Monitoring metrics for Cloud Bigtable

  This tutorial demonstrates some simple plotting to help you get started, in conjunction with the sample code for programmatically scaling Cloud Bigtable.

• Tutorial: Alert-based event archiver with Stackdriver and Pub/Sub

  This tutorial uses the built-in metrics for subscription resources in Pub/Sub subscriptions to trigger an archiving task based on a combination of backlog size and age.

• Tutorial: Cost optimization for Cloud Logging, Cloud Monitoring, and Application Performance Management

  This tutorial describes the ways that you can understand your product usage and optimize your costs.

• Tutorial: Logging and monitoring on-premises resources with Blue Medora

  This tutorial describes the considerations and design patterns for using Cloud Monitoring, Logging, and BindPlane to provide logging and monitoring services for on-premises resources.

• Tutorial: Monitoring apps running on multiple GKE clusters using Prometheus and Monitoring

  This tutorial shows you how to deploy Prometheus servers on multiple Google Kubernetes Engine clusters that are running in a hybrid environment.

• Tutorial: Remote monitoring and alerting for IoT

  This tutorial reviews how the tools and practices used for monitoring cloud-native services apply to solutions that use IoT devices.

• Tutorial: Serverless web performance monitoring using Cloud Functions

  This tutorial describes how to create a web-performance-monitoring app using Google Cloud serverless technologies.

• Tutorial: Cloud Monitoring metric export

  This tutorial describes how to export Monitoring metrics for long-term analysis.

• Tutorial: Capturing Cloud Bigtable tracing and metrics using Cloud Trace, Cloud Monitoring, and OpenCensus

  This tutorial shows how to implement client-side tracing and metrics recording in your Cloud Bigtable workloads by using OpenCensus with Cloud Monitoring and {trace_name_short}}.

Qwiklabs

• Qwiklab: Monitoring and logging for Cloud Functions

  This hands-on lab shows you how to view your Cloud Functions with their execution times, execution counts, and memory usage in the Google Cloud Console. These metrics are also available in Cloud Monitoring.

• Qwiklab: Creating and alerting on logs-based metrics

  This hands-on lab shows you how to use both system and user-defined logs-based metrics to create charts and alerting policies.

• Qwiklab: Using Cloud Debugger, Logpoints, Trace, and Logging

  This hands-on lab takes you through Cloud Debugger to take a debug snapshot in your applications, add log points to a running application, trace your API calls, and view application logs.

• Qwiklab: Monitoring multiple Google Cloud projects with Cloud Monitoring

  In this hands-on lab, you have 2 projects to monitor in Cloud Monitoring. You add them both to a Workspace and monitor the metrics the virtual machines in the projects provide.

• Qwiklab: Reporting application metrics into Cloud Monitoring

  In this hands-on lab, you setup a simple video server application in Go and instrument it to report application metrics to Cloud Monitoring by using the OpenCensus library.

• Qwiklab: Autoscaling an instance group with custom Cloud Monitoring metrics

  In this hands-on lab, you create a Compute Engine managed instance group that autoscales based on the value of a Cloud Monitoring custom metric.