This course covers all important aspects of Stackdriver monitoring, which works across all Google Cloud Platform resources, making it convenient to set up uptime checks, profiling, and integration with other cloud platforms, and monitoring tools.
Stackdriver Monitoring is a powerful and versatile cloud monitoring tool that is tightly integrated with virtually every service on the Google Cloud Platform. You can significantly improve the performance and design of your architecture and simplify troubleshooting if you master the nuances of Stackdriver Monitoring. In this course, Managing Cloud Resources Using Google Stackdriver, you will gain the ability to monitor your cloud resources track both system and user-defined metrics and respond to alerts using Stackdriver Monitoring. First, you will learn Stackdriver concepts such as metrics, monitored resources, workspaces, and alerting policies. In this process, we will learn how to install the Stackdriver monitoring agent, and also when that agent is and is not required. Next, you will discover how to monitor third-party applications and work with custom metrics. We will create resources to monitor as well as metrics associated with those resources, then use the Metrics Explorer to create dashboards to keep track of those metrics. You will also configure uptime checks and alerts to notify you when resource health is not satisfactory. Stackdriver supports uptime checks in HTTP, HTTPS, and TCP. The probes sent by these checks are governed by VPC firewall rules, so those must be set up correctly as well. Finally, you will explore how to create checks for the absence of metrics, set variables in alerts, and explore incidents and events and integrate with third-party tools. Specifically, you will integrate Stackdriver Monitoring with OpsGenie, which is an alerting and incident management platform. You will round out the course by programmatically working with the Stackdriver Monitoring API from within Datalab python notebooks. When you’re finished with this course, you will have the skills and knowledge of Stackdriver Monitoring needed to monitor, troubleshoot, and analyze the usage of your cloud resources.
Stackdriver Monitoring is a powerful and versatile cloud monitoring tool that is tightly integrated with virtually every service on the Google Cloud Platform. You can significantly improve the performance and design of your architecture and simplify troubleshooting if you master the nuances of Stackdriver Monitoring. In this course, Managing Cloud Resources Using Google Stackdriver, you will gain the ability to monitor your cloud resources track both system and user-defined metrics and respond to alerts using Stackdriver Monitoring. First, you will learn Stackdriver concepts such as metrics, monitored resources, workspaces, and alerting policies. In this process, we will learn how to install the Stackdriver monitoring agent, and also when that agent is and is not required. Next, you will discover how to monitor third-party applications and work with custom metrics. We will create resources to monitor as well as metrics associated with those resources, then use the Metrics Explorer to create dashboards to keep track of those metrics. You will also configure uptime checks and alerts to notify you when resource health is not satisfactory. Stackdriver supports uptime checks in HTTP, HTTPS, and TCP. The probes sent by these checks are governed by VPC firewall rules, so those must be set up correctly as well. Finally, you will explore how to create checks for the absence of metrics, set variables in alerts, and explore incidents and events and integrate with third-party tools. Specifically, you will integrate Stackdriver Monitoring with OpsGenie, which is an alerting and incident management platform. You will round out the course by programmatically working with the Stackdriver Monitoring API from within Datalab python notebooks. When you’re finished with this course, you will have the skills and knowledge of Stackdriver Monitoring needed to monitor, troubleshoot, and analyze the usage of your cloud resources.
