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 Stackdriver 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 GCP, using Stackdriver for monitoring, logging, 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 Stackdriver 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 Stackdriver 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 Stackdriver 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 Stackdriver.

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

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

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

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

• Tutorial: Autoscaling an instance group with Stackdriver custom metrics

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

• Tutorial: Monitoring GCP infrastructure with Stackdriver

  In this tutorial, learn the basics of Stackdriver Monitoring, how to navigate the Monitoring console, and where to look for basic monitoring events and statistics.

• Tutorial: Using Matplotlib to visualize Stackdriver 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 Cloud Pub/Sub

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

• Tutorial: Get better visibility into your application's health

  In this tutorial, you learn how to get started using Stackdriver to monitor and review performance metrics and logs for GCP services and VMs.

• Tutorial: Stackdriver cost optimization

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

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

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

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

  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 Platform serverless technologies.

• Tutorial: Stackdriver Monitoring metric export

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

• Tutorial: Capturing Cloud Bigtable tracing and metrics using Stackdriver and OpenCensus

  This tutorial shows how to implement client-side tracing and metrics recording in your Cloud Bigtable workloads by using OpenCensus and Stackdriver.

Qwiklabs

• Qwiklab: Stackdriver qwik start

  This hands-on lab shows you how to monitor a Compute Engine virtual machine (VM) instance with Stackdriver. You also install monitoring and logging agents for your VM which collects more information from your instance to provide visibility into the performance, uptime, and overall health.

• 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 Platform Console. These metrics are also available in Stackdriver 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 Stackdriver Debugger, Logpoints, Trace, and Logging

  This hands-on lab takes you through Stackdriver 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 GCP projects with Stackdriver

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

• Qwiklab: Reporting application metrics into Stackdriver

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

• Qwiklab: Autoscaling an instance group with Stackdriver custom metrics

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